From 9910132fa7aeb77459a82d6ebb09678850493d31 Mon Sep 17 00:00:00 2001 From: Bernhard Richter Date: Fri, 14 Mar 2025 16:41:37 +0100 Subject: [PATCH 1/2] Renamed to DbClient --- DbReader.sln => DbClient.sln | 8 +- build/build.csx | 4 +- readme.md | 76 +- src/.idea/.idea.DbReader/.idea/workspace.xml | 75 - .../ArgumentParserMethodBuilderTests.cs | 14 +- .../ArgumentParserTests.cs | 2 +- .../ArgumentProcessorTests.cs | 2 +- .../ArgumentsBuilderTests.cs | 8 +- .../AssemblyInfo.cs | 0 .../CachedArgumentParserMethodBuilderTests.cs | 2 +- .../ConstructorSelectorTests.cs | 6 +- .../CustomValueType.cs | 2 +- .../DataReaderMockExtensions.cs | 18 +- .../DataRecordExtensionTests.cs | 2 +- .../DbClient.Tests.csproj} | 6 +- .../DbClientExtensions.cs} | 4 +- .../FakeSql.cs | 2 +- .../FieldSelectorTests.cs | 4 +- .../InstanceReaderTests.cs | 18 +- .../InstanceReaderVerificationTests.cs | 2 +- .../IntegrationTests.cs | 34 +- .../KeyConventionTests.cs | 14 +- .../KeyPropertyMapperTests.cs | 4 +- .../KeyReaderTests.cs | 8 +- .../ManyToOnePropertySelectorTests.cs | 8 +- .../Measure.cs | 2 +- .../MethodSelectorTests.cs | 6 +- .../OneToManyPropertySelectorTests.cs | 2 +- .../OnlyOnIntelAttribute.cs | 2 +- .../PrefixResolverTests.cs | 4 +- .../PropertyMapperTests.cs | 4 +- .../PropertyReflectionTests.cs | 2 +- .../Queries/Customers.sql | 0 .../Queries/CustomersAndOrders.sql | 0 .../Queries/EmployeesHierarchy.sql | 0 .../EmployeesWithOrdersAndTerritories.sql | 0 .../QueryCacheTests.cs | 2 +- .../RegExParameterParserTests.cs | 4 +- src/{DbReader.Tests => DbClient.Tests}/SQL.cs | 2 +- .../SampleClass.cs | 2 +- .../Settings.StyleCop | 0 .../SimplePropertySelectorTests.cs | 4 +- .../SqlProvider.cs | 4 +- .../TestBase.cs | 4 +- .../TestCollectionOrderer.cs | 4 +- .../TypeExtensionTests.cs | 2 +- .../UtilityTests.cs | 2 +- .../ValueConverterTests.cs | 2 +- .../VerifiableMethodSkeleton.cs | 4 +- .../VerifiableMethodSkeletonFactory.cs | 2 +- .../coverlet.runsettings | 0 .../packages.config | 0 .../sqlmd.sh | 0 .../xunit.runner.json | 0 .../DbClient.Tracking.SampleAssembly.csproj} | 6 +- .../SampleClasses.cs | 6 + .../DbClient.Tracking.csproj} | 2 +- .../DbClient.Tracking.nuspec} | 14 +- .../DbClient.Tracking.targets | 19 + .../TrackingAssemblyWeaver.cs | 2 +- .../WeaveAssemby.cs | 2 +- .../ArgumentProcessor.cs | 4 +- src/{DbReader => DbClient}/CompositionRoot.cs | 4 +- .../ArgumentParserMethodBuilder.cs | 2 +- .../Construction/Cache.cs | 2 +- .../CachedArgumentParserMethodBuilder.cs | 4 +- .../CachedInstanceReaderMethodBuilder.cs | 4 +- .../CachedKeyReaderMethodBuilder.cs | 2 +- .../CachedOneToManyMethodBuilder.cs | 4 +- .../Construction/CachedReaderMethodBuilder.cs | 2 +- .../ConstructorReaderMethodBuilder.cs | 2 +- .../Construction/DynamicMethodSkeleton.cs | 2 +- .../IArgumentParserMethodBuilder.cs | 4 +- .../Construction/IKeyReaderMethodBuilder.cs | 2 +- .../Construction/IManyToOneMethodBuilder.cs | 4 +- .../Construction/IMethodSkeleton.cs | 2 +- .../Construction/IMethodSkeletonFactory.cs | 2 +- .../Construction/IOneToManyMethodBuilder.cs | 4 +- .../Construction/IParameterMatcher.cs | 2 +- .../Construction/IPrefixResolver.cs | 6 +- .../Construction/IReaderMethodBuilder.cs | 2 +- .../InstanceReaderMethodBuilder.cs | 4 +- .../Construction/KeyReaderMethodBuilder.cs | 2 +- .../Construction/ManyToOneMethodBuilder.cs | 2 +- .../Construction/MatchedParameter.cs | 4 +- .../Construction/MethodSkeletonFactory.cs | 2 +- .../Construction/OneToManyMethodBuilder.cs | 2 +- .../Construction/ParameterMatcher.cs | 8 +- .../Construction/PrefixResolver.cs | 2 +- .../Construction/PropertyReaderDelegate.cs | 2 +- .../PropertyReaderDelegateCache.cs | 2 +- .../PropertyReaderMethodBuilder.cs | 2 +- .../Construction/ReaderMethodBuilder.cs | 2 +- .../Construction/StaticCache.cs | 2 +- .../ContainerExtensions.cs | 2 +- .../DataReaderExtensions.cs | 2 +- .../DataRecordExtensions.cs | 2 +- .../Database/ArgumentParser.cs | 2 +- .../Database/IArgumentParser.cs | 2 +- .../Database/IParameterParser.cs | 2 +- .../Database/QueryInfo.cs | 2 +- .../Database/RegExParameterParser.cs | 2 +- .../DbClient.csproj} | 4 +- .../DbClientOptions.cs} | 8 +- .../DbConnectionExtensions.cs | 8 +- .../DynamicArguments/ArgumentsBuilder.cs | 6 +- .../DynamicArguments/DynamicMemberInfo.cs | 2 +- .../DynamicArguments/DynamicTypeActivator.cs | 2 +- .../DynamicArguments/DynamicValueExtractor.cs | 6 +- .../DynamicArguments/IDynamicType.cs | 2 +- .../TypeArrayEqualityComparer.cs | 2 +- .../DynamicArguments/ValueAccessor.cs | 2 +- src/{DbReader => DbClient}/ErrorMessages.cs | 10 +- .../Extensions/CollectionExtensions.cs | 2 +- .../Extensions/ExpressionExtensions.cs | 2 +- .../Extensions/GeneratorExtensions.cs | 2 +- .../PropertyInfoEnumerableExtensions.cs | 2 +- .../PropertyReflectionExtensions.cs | 2 +- .../Extensions/StringExtensions.cs | 2 +- .../Extensions/TypeReflectionExtensions.cs | 2 +- src/{DbReader => DbClient}/Guard.cs | 2 +- .../IInstanceReaderMethodBuilder.cs | 4 +- .../InternalsVisibleTo.cs | 2 +- .../Mapping/CachedPropertyMapper.cs | 2 +- .../Mapping/IKeyPropertyMapper.cs | 4 +- .../Mapping/IPropertyMapper.cs | 2 +- .../Mapping/KeyPropertyMapper.cs | 6 +- .../Mapping/KeyPropertyMapperValidator.cs | 2 +- .../Mapping/MappingInfo.cs | 2 +- .../Mapping/PropertyMapper.cs | 4 +- .../Mapping/PropertyTypeValidator.cs | 2 +- .../Nuget/DbReader.nuspec | 4 +- src/{DbReader => DbClient}/PassDelegate.cs | 2 +- src/{DbReader => DbClient}/ReadDelegate.cs | 2 +- .../Readers/CachedInstanceReader.cs | 2 +- .../Readers/IInstanceReader.cs | 2 +- .../Readers/IInstanceReaderFactory.cs | 2 +- .../Readers/IKeyReader.cs | 2 +- src/{DbReader => DbClient}/Readers/IReader.cs | 2 +- .../Readers/InstanceReader.cs | 2 +- .../Readers/InstanceReaderFactory.cs | 4 +- .../Readers/KeyReader.cs | 4 +- .../Selectors/CachedFieldSelector.cs | 2 +- .../Selectors/CachedPropertySelector.cs | 2 +- .../Selectors/ColumnInfo.cs | 2 +- .../Selectors/ConstructorValidator.cs | 6 +- .../Selectors/FieldSelector.cs | 2 +- .../Selectors/FirstConstructorSelector.cs | 2 +- .../Selectors/IConstructorSelector.cs | 2 +- .../Selectors/IFieldSelector.cs | 2 +- .../Selectors/IMethodSelector.cs | 2 +- .../Selectors/IOrdinalSelector.cs | 2 +- .../Selectors/IPropertySelector.cs | 2 +- .../Selectors/ManyToOnePropertySelector.cs | 2 +- .../Selectors/MethodSelector.cs | 2 +- .../Selectors/OneToManyPropertySelector.cs | 2 +- .../Selectors/OneToManyPropertyValidator.cs | 2 +- .../Selectors/OrdinalSelector.cs | 2 +- .../ParameterlessConstructorSelector.cs | 4 +- .../ReadableArgumentPropertiesValidator.cs | 4 +- .../Selectors/ReadablePropertySelector.cs | 2 +- .../Selectors/SimplePropertySelector.cs | 2 +- src/{DbReader => DbClient}/Settings.StyleCop | 0 src/{DbReader => DbClient}/SqlStatement.cs | 2 +- .../Tracking/ITrackedObject.cs | 2 +- .../Tracking/TrackedAttribute.cs | 4 +- src/{DbReader => DbClient}/TypeEvaluator.cs | 2 +- src/{DbReader => DbClient}/ValueConverter.cs | 6 +- src/{DbReader => DbClient}/packages.config | 0 src/DbReader.Tests/Failing.playlist | 1 - src/DbReader.Tests/db/northwind.sql | 6286 ----------------- .../SampleClasses.cs | 6 - .../DbReader.Tracking.targets | 19 - 173 files changed, 343 insertions(+), 6705 deletions(-) rename DbReader.sln => DbClient.sln (81%) delete mode 100644 src/.idea/.idea.DbReader/.idea/workspace.xml rename src/{DbReader.Tests => DbClient.Tests}/ArgumentParserMethodBuilderTests.cs (94%) rename src/{DbReader.Tests => DbClient.Tests}/ArgumentParserTests.cs (99%) rename src/{DbReader.Tests => DbClient.Tests}/ArgumentProcessorTests.cs (96%) rename src/{DbReader.Tests => DbClient.Tests}/ArgumentsBuilderTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/AssemblyInfo.cs (100%) rename src/{DbReader.Tests => DbClient.Tests}/CachedArgumentParserMethodBuilderTests.cs (99%) rename src/{DbReader.Tests => DbClient.Tests}/ConstructorSelectorTests.cs (94%) rename src/{DbReader.Tests => DbClient.Tests}/CustomValueType.cs (88%) rename src/{DbReader.Tests => DbClient.Tests}/DataReaderMockExtensions.cs (96%) rename src/{DbReader.Tests => DbClient.Tests}/DataRecordExtensionTests.cs (97%) rename src/{DbReader.Tests/DbReader.Tests.csproj => DbClient.Tests/DbClient.Tests.csproj} (85%) rename src/{DbReader.Tests/DbReaderExtensions.cs => DbClient.Tests/DbClientExtensions.cs} (95%) rename src/{DbReader.Tests => DbClient.Tests}/FakeSql.cs (92%) rename src/{DbReader.Tests => DbClient.Tests}/FieldSelectorTests.cs (95%) rename src/{DbReader.Tests => DbClient.Tests}/InstanceReaderTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/InstanceReaderVerificationTests.cs (96%) rename src/{DbReader.Tests => DbClient.Tests}/IntegrationTests.cs (95%) rename src/{DbReader.Tests => DbClient.Tests}/KeyConventionTests.cs (74%) rename src/{DbReader.Tests => DbClient.Tests}/KeyPropertyMapperTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/KeyReaderTests.cs (87%) rename src/{DbReader.Tests => DbClient.Tests}/ManyToOnePropertySelectorTests.cs (91%) rename src/{DbReader.Tests => DbClient.Tests}/Measure.cs (99%) rename src/{DbReader.Tests => DbClient.Tests}/MethodSelectorTests.cs (98%) rename src/{DbReader.Tests => DbClient.Tests}/OneToManyPropertySelectorTests.cs (98%) rename src/{DbReader.Tests => DbClient.Tests}/OnlyOnIntelAttribute.cs (93%) rename src/{DbReader.Tests => DbClient.Tests}/PrefixResolverTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/PropertyMapperTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/PropertyReflectionTests.cs (98%) rename src/{DbReader.Tests => DbClient.Tests}/Queries/Customers.sql (100%) rename src/{DbReader.Tests => DbClient.Tests}/Queries/CustomersAndOrders.sql (100%) rename src/{DbReader.Tests => DbClient.Tests}/Queries/EmployeesHierarchy.sql (100%) rename src/{DbReader.Tests => DbClient.Tests}/Queries/EmployeesWithOrdersAndTerritories.sql (100%) rename src/{DbReader.Tests => DbClient.Tests}/QueryCacheTests.cs (99%) rename src/{DbReader.Tests => DbClient.Tests}/RegExParameterParserTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/SQL.cs (94%) rename src/{DbReader.Tests => DbClient.Tests}/SampleClass.cs (98%) rename src/{DbReader.Tests => DbClient.Tests}/Settings.StyleCop (100%) rename src/{DbReader.Tests => DbClient.Tests}/SimplePropertySelectorTests.cs (98%) rename src/{DbReader.Tests => DbClient.Tests}/SqlProvider.cs (94%) rename src/{DbReader.Tests => DbClient.Tests}/TestBase.cs (96%) rename src/{DbReader.Tests => DbClient.Tests}/TestCollectionOrderer.cs (85%) rename src/{DbReader.Tests => DbClient.Tests}/TypeExtensionTests.cs (98%) rename src/{DbReader.Tests => DbClient.Tests}/UtilityTests.cs (95%) rename src/{DbReader.Tests => DbClient.Tests}/ValueConverterTests.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/VerifiableMethodSkeleton.cs (97%) rename src/{DbReader.Tests => DbClient.Tests}/VerifiableMethodSkeletonFactory.cs (95%) rename src/{DbReader.Tests => DbClient.Tests}/coverlet.runsettings (100%) rename src/{DbReader.Tests => DbClient.Tests}/packages.config (100%) rename src/{DbReader.Tests => DbClient.Tests}/sqlmd.sh (100%) rename src/{DbReader.Tests => DbClient.Tests}/xunit.runner.json (100%) rename src/{DbReader.Tracking.SampleAssembly/DbReader.Tracking.SampleAssembly.csproj => DbClient.Tracking.SampleAssembly/DbClient.Tracking.SampleAssembly.csproj} (63%) create mode 100644 src/DbClient.Tracking.SampleAssembly/SampleClasses.cs rename src/{DbReader.Tracking/DbReader.Tracking.csproj => DbClient.Tracking/DbClient.Tracking.csproj} (95%) rename src/{DbReader.Tracking/DbReader.Tracking.nuspec => DbClient.Tracking/DbClient.Tracking.nuspec} (76%) create mode 100644 src/DbClient.Tracking/DbClient.Tracking.targets rename src/{DbReader.Tracking => DbClient.Tracking}/TrackingAssemblyWeaver.cs (99%) rename src/{DbReader.Tracking => DbClient.Tracking}/WeaveAssemby.cs (94%) rename src/{DbReader => DbClient}/ArgumentProcessor.cs (99%) rename src/{DbReader => DbClient}/CompositionRoot.cs (98%) rename src/{DbReader => DbClient}/Construction/ArgumentParserMethodBuilder.cs (99%) rename src/{DbReader => DbClient}/Construction/Cache.cs (97%) rename src/{DbReader => DbClient}/Construction/CachedArgumentParserMethodBuilder.cs (96%) rename src/{DbReader => DbClient}/Construction/CachedInstanceReaderMethodBuilder.cs (96%) rename src/{DbReader => DbClient}/Construction/CachedKeyReaderMethodBuilder.cs (98%) rename src/{DbReader => DbClient}/Construction/CachedOneToManyMethodBuilder.cs (96%) rename src/{DbReader => DbClient}/Construction/CachedReaderMethodBuilder.cs (97%) rename src/{DbReader => DbClient}/Construction/ConstructorReaderMethodBuilder.cs (99%) rename src/{DbReader => DbClient}/Construction/DynamicMethodSkeleton.cs (99%) rename src/{DbReader => DbClient}/Construction/IArgumentParserMethodBuilder.cs (94%) rename src/{DbReader => DbClient}/Construction/IKeyReaderMethodBuilder.cs (96%) rename src/{DbReader => DbClient}/Construction/IManyToOneMethodBuilder.cs (93%) rename src/{DbReader => DbClient}/Construction/IMethodSkeleton.cs (95%) rename src/{DbReader => DbClient}/Construction/IMethodSkeletonFactory.cs (97%) rename src/{DbReader => DbClient}/Construction/IOneToManyMethodBuilder.cs (93%) rename src/{DbReader => DbClient}/Construction/IParameterMatcher.cs (96%) rename src/{DbReader => DbClient}/Construction/IPrefixResolver.cs (95%) rename src/{DbReader => DbClient}/Construction/IReaderMethodBuilder.cs (95%) rename src/{DbReader => DbClient}/Construction/InstanceReaderMethodBuilder.cs (98%) rename src/{DbReader => DbClient}/Construction/KeyReaderMethodBuilder.cs (98%) rename src/{DbReader => DbClient}/Construction/ManyToOneMethodBuilder.cs (99%) rename src/{DbReader => DbClient}/Construction/MatchedParameter.cs (95%) rename src/{DbReader => DbClient}/Construction/MethodSkeletonFactory.cs (98%) rename src/{DbReader => DbClient}/Construction/OneToManyMethodBuilder.cs (99%) rename src/{DbReader => DbClient}/Construction/ParameterMatcher.cs (97%) rename src/{DbReader => DbClient}/Construction/PrefixResolver.cs (99%) rename src/{DbReader => DbClient}/Construction/PropertyReaderDelegate.cs (93%) rename src/{DbReader => DbClient}/Construction/PropertyReaderDelegateCache.cs (88%) rename src/{DbReader => DbClient}/Construction/PropertyReaderMethodBuilder.cs (99%) rename src/{DbReader => DbClient}/Construction/ReaderMethodBuilder.cs (99%) rename src/{DbReader => DbClient}/Construction/StaticCache.cs (97%) rename src/{DbReader => DbClient}/ContainerExtensions.cs (99%) rename src/{DbReader => DbClient}/DataReaderExtensions.cs (99%) rename src/{DbReader => DbClient}/DataRecordExtensions.cs (99%) rename src/{DbReader => DbClient}/Database/ArgumentParser.cs (97%) rename src/{DbReader => DbClient}/Database/IArgumentParser.cs (97%) rename src/{DbReader => DbClient}/Database/IParameterParser.cs (98%) rename src/{DbReader => DbClient}/Database/QueryInfo.cs (97%) rename src/{DbReader => DbClient}/Database/RegExParameterParser.cs (98%) rename src/{DbReader/DbReader.csproj => DbClient/DbClient.csproj} (91%) rename src/{DbReader/DbReaderOptions.cs => DbClient/DbClientOptions.cs} (97%) rename src/{DbReader => DbClient}/DbConnectionExtensions.cs (99%) rename src/{DbReader => DbClient}/DynamicArguments/ArgumentsBuilder.cs (98%) rename src/{DbReader => DbClient}/DynamicArguments/DynamicMemberInfo.cs (98%) rename src/{DbReader => DbClient}/DynamicArguments/DynamicTypeActivator.cs (98%) rename src/{DbReader => DbClient}/DynamicArguments/DynamicValueExtractor.cs (98%) rename src/{DbReader => DbClient}/DynamicArguments/IDynamicType.cs (94%) rename src/{DbReader => DbClient}/DynamicArguments/TypeArrayEqualityComparer.cs (96%) rename src/{DbReader => DbClient}/DynamicArguments/ValueAccessor.cs (98%) rename src/{DbReader => DbClient}/ErrorMessages.cs (87%) rename src/{DbReader => DbClient}/Extensions/CollectionExtensions.cs (98%) rename src/{DbReader => DbClient}/Extensions/ExpressionExtensions.cs (97%) rename src/{DbReader => DbClient}/Extensions/GeneratorExtensions.cs (98%) rename src/{DbReader => DbClient}/Extensions/PropertyInfoEnumerableExtensions.cs (97%) rename src/{DbReader => DbClient}/Extensions/PropertyReflectionExtensions.cs (98%) rename src/{DbReader => DbClient}/Extensions/StringExtensions.cs (99%) rename src/{DbReader => DbClient}/Extensions/TypeReflectionExtensions.cs (99%) rename src/{DbReader => DbClient}/Guard.cs (96%) rename src/{DbReader => DbClient}/Interfaces/IInstanceReaderMethodBuilder.cs (94%) rename src/{DbReader => DbClient}/InternalsVisibleTo.cs (80%) rename src/{DbReader => DbClient}/Mapping/CachedPropertyMapper.cs (98%) rename src/{DbReader => DbClient}/Mapping/IKeyPropertyMapper.cs (86%) rename src/{DbReader => DbClient}/Mapping/IPropertyMapper.cs (97%) rename src/{DbReader => DbClient}/Mapping/KeyPropertyMapper.cs (92%) rename src/{DbReader => DbClient}/Mapping/KeyPropertyMapperValidator.cs (98%) rename src/{DbReader => DbClient}/Mapping/MappingInfo.cs (98%) rename src/{DbReader => DbClient}/Mapping/PropertyMapper.cs (98%) rename src/{DbReader => DbClient}/Mapping/PropertyTypeValidator.cs (99%) rename src/{DbReader => DbClient}/Nuget/DbReader.nuspec (93%) rename src/{DbReader => DbClient}/PassDelegate.cs (97%) rename src/{DbReader => DbClient}/ReadDelegate.cs (98%) rename src/{DbReader => DbClient}/Readers/CachedInstanceReader.cs (99%) rename src/{DbReader => DbClient}/Readers/IInstanceReader.cs (96%) rename src/{DbReader => DbClient}/Readers/IInstanceReaderFactory.cs (96%) rename src/{DbReader => DbClient}/Readers/IKeyReader.cs (97%) rename src/{DbReader => DbClient}/Readers/IReader.cs (96%) rename src/{DbReader => DbClient}/Readers/InstanceReader.cs (98%) rename src/{DbReader => DbClient}/Readers/InstanceReaderFactory.cs (95%) rename src/{DbReader => DbClient}/Readers/KeyReader.cs (96%) rename src/{DbReader => DbClient}/Selectors/CachedFieldSelector.cs (97%) rename src/{DbReader => DbClient}/Selectors/CachedPropertySelector.cs (97%) rename src/{DbReader => DbClient}/Selectors/ColumnInfo.cs (98%) rename src/{DbReader => DbClient}/Selectors/ConstructorValidator.cs (96%) rename src/{DbReader => DbClient}/Selectors/FieldSelector.cs (98%) rename src/{DbReader => DbClient}/Selectors/FirstConstructorSelector.cs (95%) rename src/{DbReader => DbClient}/Selectors/IConstructorSelector.cs (95%) rename src/{DbReader => DbClient}/Selectors/IFieldSelector.cs (95%) rename src/{DbReader => DbClient}/Selectors/IMethodSelector.cs (95%) rename src/{DbReader => DbClient}/Selectors/IOrdinalSelector.cs (96%) rename src/{DbReader => DbClient}/Selectors/IPropertySelector.cs (94%) rename src/{DbReader => DbClient}/Selectors/ManyToOnePropertySelector.cs (97%) rename src/{DbReader => DbClient}/Selectors/MethodSelector.cs (99%) rename src/{DbReader => DbClient}/Selectors/OneToManyPropertySelector.cs (96%) rename src/{DbReader => DbClient}/Selectors/OneToManyPropertyValidator.cs (99%) rename src/{DbReader => DbClient}/Selectors/OrdinalSelector.cs (97%) rename src/{DbReader => DbClient}/Selectors/ParameterlessConstructorSelector.cs (93%) rename src/{DbReader => DbClient}/Selectors/ReadableArgumentPropertiesValidator.cs (97%) rename src/{DbReader => DbClient}/Selectors/ReadablePropertySelector.cs (95%) rename src/{DbReader => DbClient}/Selectors/SimplePropertySelector.cs (96%) rename src/{DbReader => DbClient}/Settings.StyleCop (100%) rename src/{DbReader => DbClient}/SqlStatement.cs (93%) rename src/{DbReader => DbClient}/Tracking/ITrackedObject.cs (92%) rename src/{DbReader => DbClient}/Tracking/TrackedAttribute.cs (68%) rename src/{DbReader => DbClient}/TypeEvaluator.cs (97%) rename src/{DbReader => DbClient}/ValueConverter.cs (98%) rename src/{DbReader => DbClient}/packages.config (100%) delete mode 100644 src/DbReader.Tests/Failing.playlist delete mode 100644 src/DbReader.Tests/db/northwind.sql delete mode 100644 src/DbReader.Tracking.SampleAssembly/SampleClasses.cs delete mode 100644 src/DbReader.Tracking/DbReader.Tracking.targets diff --git a/DbReader.sln b/DbClient.sln similarity index 81% rename from DbReader.sln rename to DbClient.sln index bdb4693..9fb5f8a 100644 --- a/DbReader.sln +++ b/DbClient.sln @@ -5,13 +5,13 @@ VisualStudioVersion = 17.0.31903.59 MinimumVisualStudioVersion = 10.0.40219.1 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "src", "src", "{7D7BAB27-2679-4825-BCAC-506DE94B09BC}" EndProject -Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbReader", "src\DbReader\DbReader.csproj", "{750224E1-F07A-4F85-AF4A-A58896AE800F}" +Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbClient", "src\DbClient\DbClient.csproj", "{750224E1-F07A-4F85-AF4A-A58896AE800F}" EndProject -Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbReader.Tests", "src\DbReader.Tests\DbReader.Tests.csproj", "{C7D0AF4F-6CF0-4D86-8F71-167557A205A5}" +Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbClient.Tests", "src\DbClient.Tests\DbClient.Tests.csproj", "{C7D0AF4F-6CF0-4D86-8F71-167557A205A5}" EndProject -Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbReader.Tracking", "src\DbReader.Tracking\DbReader.Tracking.csproj", "{E1B757E5-F9CD-49AB-AE23-364BEB752711}" +Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbClient.Tracking", "src\DbClient.Tracking\DbClient.Tracking.csproj", "{E1B757E5-F9CD-49AB-AE23-364BEB752711}" EndProject -Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbReader.Tracking.SampleAssembly", "src\DbReader.Tracking.SampleAssembly\DbReader.Tracking.SampleAssembly.csproj", "{AF516499-8AE8-4C37-B7D4-444D4C8066DF}" +Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DbClient.Tracking.SampleAssembly", "src\DbClient.Tracking.SampleAssembly\DbClient.Tracking.SampleAssembly.csproj", "{AF516499-8AE8-4C37-B7D4-444D4C8066DF}" EndProject Global GlobalSection(SolutionConfigurationPlatforms) = preSolution diff --git a/build/build.csx b/build/build.csx index 70d0a88..e5346d4 100644 --- a/build/build.csx +++ b/build/build.csx @@ -30,8 +30,8 @@ AsyncStep deploy = async () => AsyncStep buildTrackingPackage = async () => { - var workingDirectory = Path.Combine(BuildContext.SourceFolder, "DbReader.Tracking"); - await Command.ExecuteAsync("dotnet", $"pack /p:NuspecFile=DbReader.Tracking.nuspec /p:IsPackable=true /p:NuspecProperties=version={BuildContext.LatestTag} -o ../../build/Artifacts/NuGet", workingDirectory); + var workingDirectory = Path.Combine(BuildContext.SourceFolder, "DbClient.Tracking"); + await Command.ExecuteAsync("dotnet", $"pack /p:NuspecFile=DbClient.Tracking.nuspec /p:IsPackable=true /p:NuspecProperties=version={BuildContext.LatestTag} -o ../../build/Artifacts/NuGet", workingDirectory); }; diff --git a/readme.md b/readme.md index b88fd6d..3dc2ab2 100644 --- a/readme.md +++ b/readme.md @@ -1,6 +1,6 @@ -## What is DbReader +## What is DbClient -**DbReader** is first and foremost **NOT** an **ORM**. **DbReader** simply maps rows into classes. +**DbClient** is first and foremost **NOT** an **ORM**. **DbClient** simply maps rows into classes. These classes are nothing but representation of the rows returned by the query in the context of .Net. They are not entities, not business objects, they are just rows represented as .Net objects. No Magic. @@ -32,7 +32,7 @@ All the following samples are based on the good old Northwind database since ## Database agnostic -Most of the functionality in DbReader is implemented on top of the IDataReader/IDataRecord interface. In fact, DbReader can actually be used without any database at all since there is nothing that states that an IDataReader needs to get its data from a relational database. +Most of the functionality in DbClient is implemented on top of the IDataReader/IDataRecord interface. In fact, DbClient can actually be used without any database at all since there is nothing that states that an IDataReader needs to get its data from a relational database. ## Single level @@ -72,7 +72,7 @@ var customers = dbConnection.Read(sql) ``` ## Async -**DbReader** provides the *ReadAsync* method that uses the DbCommand.ExecuteReaderAsync method to fetch the result set. +**DbClient** provides the *ReadAsync* method that uses the DbCommand.ExecuteReaderAsync method to fetch the result set. ``` var result = await dbConnection.ReadAsync(sql) @@ -97,12 +97,12 @@ WHERE | ---------- | ------------------- | | ALFKI | Alfreds Futterkiste | -DbReader makes passing an argument value very easy. +DbClient makes passing an argument value very easy. ``` dbConnection.Read(sql, new {CustomerId = "ALFKI"}); ``` -**DbReader** will create an *IDataParameter* for each property of the anonymous type passed in as the argument object. +**DbClient** will create an *IDataParameter* for each property of the anonymous type passed in as the argument object. If we need more control with the regards to the parameters, we can simply assign an *IDataParameter* instance to a property of the argument object. @@ -136,7 +136,7 @@ connection.Read("SELECT * FROM Customers WHERE Country = @Country AND ## Record types -**DbReader** supports [C# records](https://docs.microsoft.com/en-us/dotnet/csharp/language-reference/builtin-types/record) meaning that we can ensure immutability and it also makes it possible to create a class representing the result of a query with minimum effort. +**DbClient** supports [C# records](https://docs.microsoft.com/en-us/dotnet/csharp/language-reference/builtin-types/record) meaning that we can ensure immutability and it also makes it possible to create a class representing the result of a query with minimum effort. ```c# public record Customer(string CustomerId, string CompanyName) @@ -172,7 +172,7 @@ WHERE The problem with this approach is that it is not very dynamic as we would have to change the SQL and the arguments object if we wanted to add another value to the list. -**DbReader** solves this by letting us pass an `IEnumerable` that will expand the parameter list based on the number of items in the list that we pass in. Note that this will only work for IN clauses in the SQL. +**DbClient** solves this by letting us pass an `IEnumerable` that will expand the parameter list based on the number of items in the list that we pass in. Note that this will only work for IN clauses in the SQL. ```SQL SELECT @@ -284,15 +284,15 @@ ON As we can see from the result we now have six rows. One for each *Order* and the *Customer* columns are duplicated for each *Order*. -This is where the true power of DbReader comes into play as we don't have to do anything special to map these rows into our class representing the master-detail relationship. +This is where the true power of DbClient comes into play as we don't have to do anything special to map these rows into our class representing the master-detail relationship. ``` var customers = dbConnection.Read(sql, new {CustomerId = "ALFKI"}); ``` -> **DbReader** makes sure that only one instance of the *Customer* class is ever instantiated even if the customer information is "duplicated" six times in the result set. +> **DbClient** makes sure that only one instance of the *Customer* class is ever instantiated even if the customer information is "duplicated" six times in the result set. -There is no limitation as to the number of levels **DbReader** can handle meaning that we could create a query that represents a master-detail-subdetail query. +There is no limitation as to the number of levels **DbClient** can handle meaning that we could create a query that represents a master-detail-subdetail query. ## Many To One @@ -309,7 +309,7 @@ public class Order } ``` -The SQL is exactly the same and the only difference is that we ask **DbReader** to map the result into a list of *Order* instances. +The SQL is exactly the same and the only difference is that we ask **DbClient** to map the result into a list of *Order* instances. ```sql SELECT @@ -425,15 +425,15 @@ public class OrderDetail public decimal UnitPrice { get; set; } } ``` -The convention can easily be changes through the DbReaderOptions class. +The convention can easily be changes through the DbClientOptions class. ```c# -DbReaderOptions.KeyConvention = (property) => property.IsDefined(typeof(KeyAttribute)); +DbClientOptions.KeyConvention = (property) => property.IsDefined(typeof(KeyAttribute)); ``` -Another possibility is to supply this information using the DbReaderOptions`KeySelector` method. +Another possibility is to supply this information using the DbClientOptions`KeySelector` method. ```c# -DbReaderOptions.KeySelector(c => c.CustomerId) +DbClientOptions.KeySelector(c => c.CustomerId) ``` ## Prefixes @@ -474,7 +474,7 @@ public class Order } ``` -The *Orders* table and the *Customers* table both define the *ModifiedBy* column and we need a way to tell **DbReader** which *ModifiedBy* column goes into which *ModifiedBy* property. +The *Orders* table and the *Customers* table both define the *ModifiedBy* column and we need a way to tell **DbClient** which *ModifiedBy* column goes into which *ModifiedBy* property. The solution is really quite simple. We just need to prefix the ModifiedBy column that originates from the Orders table with the name of the navigation property. @@ -503,7 +503,7 @@ The length of the alias name might actually be a problem since we can nest these ``` ol.ModifiedBy AS FirstLevelProperty_SecondLevelProperty_ThirdLevelProperty_ModifiedBy ``` -Some database engines might not allow for such long identifiers and **DbReader** allows for CamelHumps (A ReSharper term) that basically means that we compress the property name into its capital letters. +Some database engines might not allow for such long identifiers and **DbClient** allows for CamelHumps (A ReSharper term) that basically means that we compress the property name into its capital letters. ``` ol.ModifiedBy AS FLP_SLP_TLP_ModifiedBy @@ -511,12 +511,12 @@ ol.ModifiedBy AS FLP_SLP_TLP_ModifiedBy ## Stored Procedures -**DbReader** makes no attempt to generalize calling stored procedures as this in most cases requires code that is specific to the database engine. **DbReader** allows custom initialization of an IDbCommand through the DbReaderOptions.CommandInitializer property. +**DbClient** makes no attempt to generalize calling stored procedures as this in most cases requires code that is specific to the database engine. **DbClient** allows custom initialization of an IDbCommand through the DbClientOptions.CommandInitializer property. This is an extension point where we can plug in support for features that are specific to the database engine. The following example shows how to add support for calling an Oracle procedure. ``` -DbReaderOptions.CommandInitializer = InitializeCommand; +DbClientOptions.CommandInitializer = InitializeCommand; private static void InitializeCommand(IDbCommand command) { @@ -542,15 +542,15 @@ For instance, Oracle does not provide a Guid datatype and the most common way of Since we probably don't want to represent a Guid as a byte array in our classes, we need to register a custom delegate to handle the conversion from a byte array to a Guid. ``` -DbReaderOptions.WhenReading().Use((datarecord, ordinal) => new Guid(dataRecord.ReadBytes(1,16))); +DbClientOptions.WhenReading().Use((datarecord, ordinal) => new Guid(dataRecord.ReadBytes(1,16))); ``` -This instructs **DbReader** to use our custom read delegate whenever it encounters a *Guid* property. +This instructs **DbClient** to use our custom read delegate whenever it encounters a *Guid* property. The *Guid* also needs to be converted back into a byte array when passing a *Guid* value as a parameter to a query. ``` -DbReaderOptions.WhenPassing().Use((parameter, guid) => parameter.Value = guid.ToByArray() +DbClientOptions.WhenPassing().Use((parameter, guid) => parameter.Value = guid.ToByArray() ``` > Note that the conversion function is only invoked if the value from the database is NOT `DBNull` @@ -582,7 +582,7 @@ public class MyClass When the property `SomeProperty` we can specify what to return in the case of the field (SomeProperty) being `DBNull` from the `IDataRecord` ```C# -DbReaderOptions.WhenReading().Use((dr, i) => new CustomValueType(dr.GetInt32(i))).WithDefaultValue(new CustomValueType(42)); +DbClientOptions.WhenReading().Use((dr, i) => new CustomValueType(dr.GetInt32(i))).WithDefaultValue(new CustomValueType(42)); ``` @@ -714,7 +714,7 @@ public class Employee ## Command Initialization -The `DbReaderOptions` class exposes a `CommandInitializer` property that can be used to initialize an `IDbCommand` after it has been created by `DbReader`. +The `DbClientOptions` class exposes a `CommandInitializer` property that can be used to initialize an `IDbCommand` after it has been created by `DbClient`. The following example uses an anonymous PL/SQL block to retrieve a list of employees from the SCOTT schema. @@ -746,7 +746,7 @@ connection.ReadAsync(sql, new {p_cursor = new OracleParameter{OracleDb If we have multiple queries such as this one, it might make more sense to define a convention that always adds the needed cursor parameter. ```c# -DbReaderOptions.CommandInitializer = (command) => { +DbClientOptions.CommandInitializer = (command) => { if (command.CommandText.Contains("p_cursor")) { command.Parameters.Insert(0, new OracleParameter @@ -767,7 +767,7 @@ connection.ReadAsync(SQL.emp, new {p_name = "A%"}); ## Tracking -As stated previously, `DbReader` is NOT an ORM and the support for simple object tracking does not change that +As stated previously, `DbClient` is NOT an ORM and the support for simple object tracking does not change that although it opens up a couple of doors for more dynamic SQL, specially when doing updates in the database. First of all what do we mean by tracking? Let's illustrate with an example. @@ -829,7 +829,7 @@ WHERE CustomerID = @CustomerID; ``` -So in `DbReader`this would be as simple as +So in `DbClient`this would be as simple as ```c# await dbConnection.ExecuteAsync(sql, customer); @@ -949,7 +949,7 @@ public record Customer : ITrackedObject } } ``` -This now gives us the ability to figure out which properties has changed and this information can be used when building the arguments object that is passed to `DbReader`when executing the query. +This now gives us the ability to figure out which properties has changed and this information can be used when building the arguments object that is passed to `DbClient`when executing the query. ```c# var arguments = new ArgumentsBuilder().From(customer).Build(); @@ -957,7 +957,7 @@ var arguments = new ArgumentsBuilder().From(customer).Build(); This arguments object will now be an object with properties from the `customer` instance, but since `Customer`implements `ITrackedObject` it will ONLY contain the properties that has been set/modified. -At this point we have the arguments object to be passed to `DbReader`, but in order for this to work we also need to build the SQL that represents our update statement. +At this point we have the arguments object to be passed to `DbClient`, but in order for this to work we also need to build the SQL that represents our update statement. ```c# var modifiedProperties = ((ITrackedObject)positionalRecord).GetModifiedProperties(); @@ -982,7 +982,7 @@ We are finally ready to actually perform the update in the database await dbConnection.ExecuteAsync(sql, arguments); ``` -### DbReader.Tracking +### DbClient.Tracking As we learned previously we can leverage this functionally by rewriting our `Customer` record from @@ -1042,7 +1042,7 @@ public record Customer : ITrackedObject This would require a lot of tedious plumbing code every time we would want this type of behavior. -`DbReader.Tracking` makes this very easy by just requiring an attribute to be set on the class/record that we want to track. +`DbClient.Tracking` makes this very easy by just requiring an attribute to be set on the class/record that we want to track. ```c# [Tracked] @@ -1061,11 +1061,11 @@ public record Customer( ); ``` -By applying the `TrackedAttribute`, `DbReader.Tracking` will automatically implement the `ITrackedObject` interface and modify each property setter to track changes when properties are being set. +By applying the `TrackedAttribute`, `DbClient.Tracking` will automatically implement the `ITrackedObject` interface and modify each property setter to track changes when properties are being set. This happens at compile time using [Mono.Cecil]([https://](https://github.com/jbevain/cecil)) -By default, `DbReader.Tracking` will look for an attribute called `TrackedAttribute`. This can be configured using an MsBuild property called `DbReaderTrackingAttributeName` -In the example below , `DbReader.Tracking` will look for an attribute called `PatchAttribute` instead of `TrackedAttribute`. +By default, `DbClient.Tracking` will look for an attribute called `TrackedAttribute`. This can be configured using an MsBuild property called `DbClientTrackingAttributeName` +In the example below , `DbClient.Tracking` will look for an attribute called `PatchAttribute` instead of `TrackedAttribute`. ```xml @@ -1073,12 +1073,12 @@ In the example below , `DbReader.Tracking` will look for an attribute called `Pa net8.0 enable enable - PatchAttribute + PatchAttribute - - + + runtime; build; native; contentfiles; analyzers; buildtransitive all diff --git a/src/.idea/.idea.DbReader/.idea/workspace.xml b/src/.idea/.idea.DbReader/.idea/workspace.xml deleted file mode 100644 index 3fe8a92..0000000 --- a/src/.idea/.idea.DbReader/.idea/workspace.xml +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1654726087154 - - - - - - - - - - \ No newline at end of file diff --git a/src/DbReader.Tests/ArgumentParserMethodBuilderTests.cs b/src/DbClient.Tests/ArgumentParserMethodBuilderTests.cs similarity index 94% rename from src/DbReader.Tests/ArgumentParserMethodBuilderTests.cs rename to src/DbClient.Tests/ArgumentParserMethodBuilderTests.cs index e6d75ad..1a81e8d 100644 --- a/src/DbReader.Tests/ArgumentParserMethodBuilderTests.cs +++ b/src/DbClient.Tests/ArgumentParserMethodBuilderTests.cs @@ -1,12 +1,12 @@ using System; using System.Data; using System.Data.Common; -using DbReader.Construction; +using DbClient.Construction; using Moq; using Shouldly; using Xunit; -namespace DbReader.Tests +namespace DbClient.Tests { public class ArgumentParserMethodBuilderTests : ContainerFixture { @@ -18,7 +18,7 @@ public void ShouldThrowMeaningfulExceptionWhenParameterValueIsNotAccepted() var args = new { CustomerId = "ALFKI" }; var method = argumentParserMethodBuilder.CreateMethod("@CustomerId", args.GetType(), Array.Empty()); var exception = Should.Throw(() => method("@CustomerId", args, () => new ThrowingDataParameter())); - exception.Message.ShouldContain("The parameter (CustomerId) did not accept the value `ALFKI` (String). If the value is a custom type, consider adding support for the type using DbReaderOptions.WhenPassing()"); + exception.Message.ShouldContain("The parameter (CustomerId) did not accept the value `ALFKI` (String). If the value is a custom type, consider adding support for the type using DbClientOptions.WhenPassing()"); } @@ -34,7 +34,7 @@ public void ShouldHandleEnumWithoutConverterFunction() [Fact] public void ShouldHandleEnumWithConverterFunction() { - DbReaderOptions.WhenPassing().Use((parameter, value) => parameter.Value = (int)EnumParameterWithConverterFunction.Value3); + DbClientOptions.WhenPassing().Use((parameter, value) => parameter.Value = (int)EnumParameterWithConverterFunction.Value3); var args = new { Status = EnumParameterWithConverterFunction.Value2 }; var method = argumentParserMethodBuilder.CreateMethod("@Status", args.GetType(), Array.Empty()); var result = method("@Status", args, () => new TestDataParameter()); @@ -54,7 +54,7 @@ public void ShouldHandleNullableEnumWithoutConverterFunctionPassingNull() [Fact] public void ShouldHandleNullableEnumWithConverterFunctionPassingNull() { - DbReaderOptions.WhenPassing().Use((parameter, value) => parameter.Value = (int)EnumParameterWithConverterFunctionPassingNull.Value3); + DbClientOptions.WhenPassing().Use((parameter, value) => parameter.Value = (int)EnumParameterWithConverterFunctionPassingNull.Value3); var args = new { Status = (EnumParameterWithConverterFunctionPassingNull?)null }; var method = argumentParserMethodBuilder.CreateMethod("@Status", args.GetType(), Array.Empty()); var result = method("@Status", args, () => new TestDataParameter()); @@ -81,7 +81,7 @@ public void ShouldHandleNullableEnum() // TestMethod(nullableInt); var args = new { Status = new Nullable(DbType.Currency) }; - //DbReaderOptions.WhenPassing().Use((p, v) => p.Value = 1); + //DbClientOptions.WhenPassing().Use((p, v) => p.Value = 1); var method = argumentParserMethodBuilder.CreateMethod("@Status", args.GetType(), Array.Empty()); var result = method("@Status", args, () => new TestDataParameter()); } @@ -90,7 +90,7 @@ public void ShouldHandleNullableEnum() public void ShouldHandleNullableInt() { var args = new { Status = new Nullable(42) }; - //DbReaderOptions.WhenPassing().Use((p, v) => p.Value = 1); + //DbClientOptions.WhenPassing().Use((p, v) => p.Value = 1); var method = argumentParserMethodBuilder.CreateMethod("@Status", args.GetType(), Array.Empty()); var result = method("@Status", args, () => new TestDataParameter()); } diff --git a/src/DbReader.Tests/ArgumentParserTests.cs b/src/DbClient.Tests/ArgumentParserTests.cs similarity index 99% rename from src/DbReader.Tests/ArgumentParserTests.cs rename to src/DbClient.Tests/ArgumentParserTests.cs index 7eaf9ae..7457c50 100644 --- a/src/DbReader.Tests/ArgumentParserTests.cs +++ b/src/DbClient.Tests/ArgumentParserTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Data; diff --git a/src/DbReader.Tests/ArgumentProcessorTests.cs b/src/DbClient.Tests/ArgumentProcessorTests.cs similarity index 96% rename from src/DbReader.Tests/ArgumentProcessorTests.cs rename to src/DbClient.Tests/ArgumentProcessorTests.cs index 8b24a0a..53d7ac4 100644 --- a/src/DbReader.Tests/ArgumentProcessorTests.cs +++ b/src/DbClient.Tests/ArgumentProcessorTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System.Data; using Extensions; diff --git a/src/DbReader.Tests/ArgumentsBuilderTests.cs b/src/DbClient.Tests/ArgumentsBuilderTests.cs similarity index 97% rename from src/DbReader.Tests/ArgumentsBuilderTests.cs rename to src/DbClient.Tests/ArgumentsBuilderTests.cs index 82074b6..7b2ca9d 100644 --- a/src/DbReader.Tests/ArgumentsBuilderTests.cs +++ b/src/DbClient.Tests/ArgumentsBuilderTests.cs @@ -1,14 +1,14 @@ using System.Collections.Generic; using System.Linq; using System.Text; -using DbReader.DynamicArguments; -using DbReader.Tracking; -using DbReader.Tracking.SampleAssembly; +using DbClient.DynamicArguments; +using DbClient.Tracking; +using DbClient.Tracking.SampleAssembly; using ILVerifier; using Shouldly; using Xunit; -namespace DbReader.Tests; +namespace DbClient.Tests; public class ArgumentsBuilderTests { diff --git a/src/DbReader.Tests/AssemblyInfo.cs b/src/DbClient.Tests/AssemblyInfo.cs similarity index 100% rename from src/DbReader.Tests/AssemblyInfo.cs rename to src/DbClient.Tests/AssemblyInfo.cs diff --git a/src/DbReader.Tests/CachedArgumentParserMethodBuilderTests.cs b/src/DbClient.Tests/CachedArgumentParserMethodBuilderTests.cs similarity index 99% rename from src/DbReader.Tests/CachedArgumentParserMethodBuilderTests.cs rename to src/DbClient.Tests/CachedArgumentParserMethodBuilderTests.cs index 0123bb6..5e323eb 100644 --- a/src/DbReader.Tests/CachedArgumentParserMethodBuilderTests.cs +++ b/src/DbClient.Tests/CachedArgumentParserMethodBuilderTests.cs @@ -1,6 +1,6 @@ using System.Data; -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Runtime.CompilerServices; diff --git a/src/DbReader.Tests/ConstructorSelectorTests.cs b/src/DbClient.Tests/ConstructorSelectorTests.cs similarity index 94% rename from src/DbReader.Tests/ConstructorSelectorTests.cs rename to src/DbClient.Tests/ConstructorSelectorTests.cs index 7534956..43b76a3 100644 --- a/src/DbReader.Tests/ConstructorSelectorTests.cs +++ b/src/DbClient.Tests/ConstructorSelectorTests.cs @@ -1,12 +1,12 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; - using DbReader.Interfaces; + using DbClient.Interfaces; using Selectors; using Shouldly; using Xunit; - using DbReader.LightInject; + using DbClient.LightInject; public class ConstructorSelectorTests : ContainerFixture { diff --git a/src/DbReader.Tests/CustomValueType.cs b/src/DbClient.Tests/CustomValueType.cs similarity index 88% rename from src/DbReader.Tests/CustomValueType.cs rename to src/DbClient.Tests/CustomValueType.cs index ab39985..afb5b1b 100644 --- a/src/DbReader.Tests/CustomValueType.cs +++ b/src/DbClient.Tests/CustomValueType.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { public struct CustomValueType { diff --git a/src/DbReader.Tests/DataReaderMockExtensions.cs b/src/DbClient.Tests/DataReaderMockExtensions.cs similarity index 96% rename from src/DbReader.Tests/DataReaderMockExtensions.cs rename to src/DbClient.Tests/DataReaderMockExtensions.cs index 3ff137c..e91d192 100644 --- a/src/DbReader.Tests/DataReaderMockExtensions.cs +++ b/src/DbClient.Tests/DataReaderMockExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; @@ -16,7 +16,7 @@ public static class DataReaderMockExtensions /// /// Returns a string if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A string, or null if the column's value is NULL public static string GetNullableString(this IDataRecord reader, int index) @@ -27,7 +27,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns a bool if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A bool, or null if the column's value is NULL public static bool? GetNullableBool(this IDataRecord reader, int index) @@ -38,7 +38,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns a DateTime if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A DateTime, or null if the column's value is NULL public static DateTime? GetNullableDateTime(this IDataRecord reader, int index) @@ -49,7 +49,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns a byte if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A byte, or null if the column's value is NULL public static byte? GetNullableByte(this IDataRecord reader, int index) @@ -60,7 +60,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns a short if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A short, or null if the column's value is NULL public static short? GetNullableInt16(this IDataRecord reader, int index) @@ -71,7 +71,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns an int if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// An int, or null if the column's value is NULL public static int? GetNullableInt32(this IDataRecord reader, int index) @@ -82,7 +82,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns a float if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A float, or null if the column's value is NULL public static float? GetNullableFloat(this IDataRecord reader, int index) @@ -93,7 +93,7 @@ public static string GetNullableString(this IDataRecord reader, int index) /// /// Returns a double if one is present, or null if not /// - /// The IDbReader to read from + /// The IDbClient to read from /// The index of the column to read from /// A double, or null if the column's value is NULL public static double? GetNullableDouble(this IDataRecord reader, int index) diff --git a/src/DbReader.Tests/DataRecordExtensionTests.cs b/src/DbClient.Tests/DataRecordExtensionTests.cs similarity index 97% rename from src/DbReader.Tests/DataRecordExtensionTests.cs rename to src/DbClient.Tests/DataRecordExtensionTests.cs index 0f79c9c..d612b11 100644 --- a/src/DbReader.Tests/DataRecordExtensionTests.cs +++ b/src/DbClient.Tests/DataRecordExtensionTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Linq; diff --git a/src/DbReader.Tests/DbReader.Tests.csproj b/src/DbClient.Tests/DbClient.Tests.csproj similarity index 85% rename from src/DbReader.Tests/DbReader.Tests.csproj rename to src/DbClient.Tests/DbClient.Tests.csproj index 8ca4f5d..9b89b82 100644 --- a/src/DbReader.Tests/DbReader.Tests.csproj +++ b/src/DbClient.Tests/DbClient.Tests.csproj @@ -1,9 +1,9 @@  - - - + + + diff --git a/src/DbReader.Tests/DbReaderExtensions.cs b/src/DbClient.Tests/DbClientExtensions.cs similarity index 95% rename from src/DbReader.Tests/DbReaderExtensions.cs rename to src/DbClient.Tests/DbClientExtensions.cs index 2072b58..13020ac 100644 --- a/src/DbReader.Tests/DbReaderExtensions.cs +++ b/src/DbClient.Tests/DbClientExtensions.cs @@ -1,9 +1,9 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System.Data; using System.Text; - public static class DbReaderExtensions + public static class DbClientExtensions { public static string ToMarkdown(this IDataReader dataReader) { diff --git a/src/DbReader.Tests/FakeSql.cs b/src/DbClient.Tests/FakeSql.cs similarity index 92% rename from src/DbReader.Tests/FakeSql.cs rename to src/DbClient.Tests/FakeSql.cs index 2374a13..13a6e52 100644 --- a/src/DbReader.Tests/FakeSql.cs +++ b/src/DbClient.Tests/FakeSql.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Runtime.CompilerServices; diff --git a/src/DbReader.Tests/FieldSelectorTests.cs b/src/DbClient.Tests/FieldSelectorTests.cs similarity index 95% rename from src/DbReader.Tests/FieldSelectorTests.cs rename to src/DbClient.Tests/FieldSelectorTests.cs index d0de05f..938e476 100644 --- a/src/DbReader.Tests/FieldSelectorTests.cs +++ b/src/DbClient.Tests/FieldSelectorTests.cs @@ -1,10 +1,10 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; using System.Data; - using DbReader.Interfaces; + using DbClient.Interfaces; using Selectors; using Shouldly; using Xunit; diff --git a/src/DbReader.Tests/InstanceReaderTests.cs b/src/DbClient.Tests/InstanceReaderTests.cs similarity index 97% rename from src/DbReader.Tests/InstanceReaderTests.cs rename to src/DbClient.Tests/InstanceReaderTests.cs index 58bbb2d..8d5862d 100644 --- a/src/DbReader.Tests/InstanceReaderTests.cs +++ b/src/DbClient.Tests/InstanceReaderTests.cs @@ -1,9 +1,9 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; using System.Linq; - using DbReader.Construction; + using DbClient.Construction; using Readers; using Shouldly; @@ -13,7 +13,7 @@ public class InstanceReaderTests : ContainerFixture { static InstanceReaderTests() { - DbReaderOptions.WhenReading().Use((record, ordinal) => new CustomValueType(record.GetInt32(ordinal))); + DbClientOptions.WhenReading().Use((record, ordinal) => new CustomValueType(record.GetInt32(ordinal))); } private IReaderMethodBuilder> propertyReaderMethodBuilder; @@ -237,7 +237,7 @@ public void ShouldReadNullableEnumWithConverterFunction() { var dataRecord = new { Id = 1, Property = 2 }.ToDataRecord(); bool wasCalled = false; - DbReaderOptions.WhenReading().Use((dataRecord, ordinal) => + DbClientOptions.WhenReading().Use((dataRecord, ordinal) => { wasCalled = true; return (EnumWithConverterFunction)dataRecord.GetInt32(ordinal); @@ -253,7 +253,7 @@ public void ShouldReadNullableEnumWithConverterFunctionForIntegralType() { var dataRecord = new { Id = 1, Property = 2 }.ToDataRecord(); bool wasCalled = false; - DbReaderOptions.WhenReading().Use((dataRecord, ordinal) => + DbClientOptions.WhenReading().Use((dataRecord, ordinal) => { wasCalled = true; return (ushort)dataRecord.GetInt32(ordinal); @@ -350,7 +350,7 @@ public void ShouldNotCreateInstanceWhenNavigationKeyIsNull() [Fact] public void ShouldUseConverterFunctionEvenWhenEnumHasIncompatibleUnderlyingType() { - DbReaderOptions.WhenReading().Use((dr, i) => (Int32Enum)dr.GetInt64(i)); + DbClientOptions.WhenReading().Use((dr, i) => (Int32Enum)dr.GetInt64(i)); var dataRecord = new { Id = 1, Property = (long)1 }.ToDataRecord(); var reader = GetReader>(); var instance = reader.Read(dataRecord, string.Empty); @@ -404,7 +404,7 @@ public void ShouldHandleNullValuesInNavigationChain() public void ShouldUseDefaultValue() { var dataRecord = new { Id = 1, Property = DBNull.Value }.ToDataRecord(); - DbReaderOptions.WhenReading().Use((dr, i) => new CustomValueType(dr.GetInt32(i))).WithDefaultValue(new CustomValueType(42)); + DbClientOptions.WhenReading().Use((dr, i) => new CustomValueType(dr.GetInt32(i))).WithDefaultValue(new CustomValueType(42)); var reader = GetReader>(); var instance = reader.Read(dataRecord, string.Empty); instance.Property.Value.ShouldBe(42); @@ -414,7 +414,7 @@ public void ShouldUseDefaultValue() public void ShouldNotUseDefaultValue() { var dataRecord = new { Id = 1, Property = 42 }.ToDataRecord(); - DbReaderOptions.WhenReading().Use((dr, i) => new CustomValueType(dr.GetInt32(i))).WithDefaultValue(new CustomValueType(82)); + DbClientOptions.WhenReading().Use((dr, i) => new CustomValueType(dr.GetInt32(i))).WithDefaultValue(new CustomValueType(82)); var reader = GetReader>(); var instance = reader.Read(dataRecord, string.Empty); instance.Property.Value.ShouldBe(42); @@ -437,7 +437,7 @@ public CustomValueType(int value) [Fact] public void Test() { - DbReaderOptions.WhenReading>().Use((dr, ordinal) => + DbClientOptions.WhenReading>().Use((dr, ordinal) => { return Array.Empty(); }); diff --git a/src/DbReader.Tests/InstanceReaderVerificationTests.cs b/src/DbClient.Tests/InstanceReaderVerificationTests.cs similarity index 96% rename from src/DbReader.Tests/InstanceReaderVerificationTests.cs rename to src/DbClient.Tests/InstanceReaderVerificationTests.cs index 345d4a6..4e90536 100644 --- a/src/DbReader.Tests/InstanceReaderVerificationTests.cs +++ b/src/DbClient.Tests/InstanceReaderVerificationTests.cs @@ -1,5 +1,5 @@ #if NET7_0 -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.IO; diff --git a/src/DbReader.Tests/IntegrationTests.cs b/src/DbClient.Tests/IntegrationTests.cs similarity index 95% rename from src/DbReader.Tests/IntegrationTests.cs rename to src/DbClient.Tests/IntegrationTests.cs index d7dced1..8261abf 100644 --- a/src/DbReader.Tests/IntegrationTests.cs +++ b/src/DbClient.Tests/IntegrationTests.cs @@ -1,5 +1,5 @@ #if !NET462 -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; @@ -10,7 +10,7 @@ namespace DbReader.Tests using System.Linq; using System.Text; using System.Threading.Tasks; - using DbReader; + using DbClient; using Extensions; using Shouldly; using Xunit; @@ -26,13 +26,13 @@ static IntegrationTests() dbFile = Path.Combine(Path.GetDirectoryName(new Uri(typeof(IntegrationTests).Assembly.CodeBase).LocalPath), "northwind.db"); connectionString = $"Data Source = {dbFile}"; - DbReaderOptions.WhenPassing() + DbClientOptions.WhenPassing() .Use((parameter, argument) => { parameter.Value = argument.Value; }); - DbReaderOptions.WhenReading().Use((datarecord, i) => new CustomScalarValue(datarecord.GetInt64(i))); + DbClientOptions.WhenReading().Use((datarecord, i) => new CustomScalarValue(datarecord.GetInt64(i))); } @@ -134,7 +134,7 @@ public async Task ShouldReadCustomersAsync() [Fact] public async Task ShouldReadCustomersAsyncWithCustomKeySelector() { - DbReaderOptions.KeySelector(c => c.CustomerId); + DbClientOptions.KeySelector(c => c.CustomerId); using (var connection = CreateConnection()) { var customers = await connection.ReadAsync(SQL.Customers); @@ -170,8 +170,8 @@ public void ShouldReadCustomersAsRecordType() public void ShouldReadCustomersAndOrdersAsRecordType() { - // DbReaderOptions.KeySelector(c => c.CustomerId); - // DbReaderOptions.KeySelector(o => o.OrderId); + // DbClientOptions.KeySelector(c => c.CustomerId); + // DbClientOptions.KeySelector(o => o.OrderId); using (var connection = CreateConnection()) { @@ -285,7 +285,7 @@ public void ShouldBeAbleToConvertArgument() public void ShouldInvokeCommandInitializer() { bool invoked = false; - DbReaderOptions.CommandInitializer = command => { invoked = true; }; + DbClientOptions.CommandInitializer = command => { invoked = true; }; using (var connection = CreateConnection()) { @@ -293,13 +293,13 @@ public void ShouldInvokeCommandInitializer() } invoked.ShouldBeTrue(); - DbReaderOptions.CommandInitializer = null; + DbClientOptions.CommandInitializer = null; } [Fact] public void ShouldInvokeCommandInitializerBeforeParsingQuery() { - DbReaderOptions.CommandInitializer = command => + DbClientOptions.CommandInitializer = command => { var parameter = command.CreateParameter(); parameter.ParameterName = "@CustomerId"; @@ -314,7 +314,7 @@ public void ShouldInvokeCommandInitializerBeforeParsingQuery() customers.Count().ShouldBe(1); } - DbReaderOptions.CommandInitializer = null; + DbClientOptions.CommandInitializer = null; } @@ -520,7 +520,7 @@ public async Task ShouldHandlePassingNullableCustomValueTypeWithNull() [Fact] public void ShouldNotSetParameterValueWhenPassingCustomType() { - DbReaderOptions.WhenPassing().Use((p, c) => + DbClientOptions.WhenPassing().Use((p, c) => { p.Value.ShouldBeNull(); p.Value = (string)c; @@ -546,7 +546,7 @@ public void ShouldReadSimpleType() [Fact] public void ShouldReadSimpleTypeUsingValueConverter() { - DbReaderOptions.WhenReading().Use((record, ordinal) => new CustomValueType(record.GetInt32(ordinal))); + DbClientOptions.WhenReading().Use((record, ordinal) => new CustomValueType(record.GetInt32(ordinal))); using (var connection = CreateConnection()) { @@ -562,13 +562,13 @@ private string LoadSql(string name) } [Fact] - public void GetAllCustomersUsingDbReader() + public void GetAllCustomersUsingDbClient() { using (var connection = CreateConnection()) { - var dbReaderResult = Measure.Run(() => connection.Read(SQL.Customers), 10, - "DbReader (All Customers)"); - Console.WriteLine(dbReaderResult); + var dbClientResult = Measure.Run(() => connection.Read(SQL.Customers), 10, + "DbClient (All Customers)"); + Console.WriteLine(dbClientResult); } } diff --git a/src/DbReader.Tests/KeyConventionTests.cs b/src/DbClient.Tests/KeyConventionTests.cs similarity index 74% rename from src/DbReader.Tests/KeyConventionTests.cs rename to src/DbClient.Tests/KeyConventionTests.cs index 0616277..3b4ff9d 100644 --- a/src/DbReader.Tests/KeyConventionTests.cs +++ b/src/DbClient.Tests/KeyConventionTests.cs @@ -1,37 +1,37 @@ using Shouldly; using Xunit; -namespace DbReader.Tests +namespace DbClient.Tests { public class KeyConventionTests { [Fact] public void ShouldUseClassIdProperty() { - var result = DbReaderOptions.KeyConvention(typeof(Customer).GetProperty(nameof(Customer.CustomerId))); + var result = DbClientOptions.KeyConvention(typeof(Customer).GetProperty(nameof(Customer.CustomerId))); result.ShouldBeTrue(); } [Fact] public void ShouldUseIdProperty() { - var result = DbReaderOptions.KeyConvention(typeof(Employee).GetProperty(nameof(Employee.Id))); + var result = DbClientOptions.KeyConvention(typeof(Employee).GetProperty(nameof(Employee.Id))); result.ShouldBeTrue(); } [Fact] public void ShouldUseCustomIdIntProperty() { - DbReaderOptions.KeySelector(ac => ac.CustomId); - var result = DbReaderOptions.KeyConvention(typeof(AnotherCustomer).GetProperty(nameof(AnotherCustomer.CustomId))); + DbClientOptions.KeySelector(ac => ac.CustomId); + var result = DbClientOptions.KeyConvention(typeof(AnotherCustomer).GetProperty(nameof(AnotherCustomer.CustomId))); result.ShouldBeTrue(); } [Fact] public void ShouldUseCustomIdStringProperty() { - DbReaderOptions.KeySelector(ac => ac.CustomId); - var result = DbReaderOptions.KeyConvention(typeof(AnotherEmployee).GetProperty(nameof(AnotherEmployee.CustomId))); + DbClientOptions.KeySelector(ac => ac.CustomId); + var result = DbClientOptions.KeyConvention(typeof(AnotherEmployee).GetProperty(nameof(AnotherEmployee.CustomId))); result.ShouldBeTrue(); } diff --git a/src/DbReader.Tests/KeyPropertyMapperTests.cs b/src/DbClient.Tests/KeyPropertyMapperTests.cs similarity index 97% rename from src/DbReader.Tests/KeyPropertyMapperTests.cs rename to src/DbClient.Tests/KeyPropertyMapperTests.cs index 6fe93eb..af6631d 100644 --- a/src/DbReader.Tests/KeyPropertyMapperTests.cs +++ b/src/DbClient.Tests/KeyPropertyMapperTests.cs @@ -1,7 +1,7 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; - using DbReader.Interfaces; + using DbClient.Interfaces; using Mapping; using Shouldly; using Xunit; diff --git a/src/DbReader.Tests/KeyReaderTests.cs b/src/DbClient.Tests/KeyReaderTests.cs similarity index 87% rename from src/DbReader.Tests/KeyReaderTests.cs rename to src/DbClient.Tests/KeyReaderTests.cs index 7d1a242..edd06f3 100644 --- a/src/DbReader.Tests/KeyReaderTests.cs +++ b/src/DbClient.Tests/KeyReaderTests.cs @@ -1,11 +1,11 @@ -// namespace DbReader.Tests +// namespace DbClient.Tests // { // using System; // using System.Collections; // using System.ComponentModel.DataAnnotations; // using System.Reflection; -// using DbReader.Interfaces; +// using DbClient.Interfaces; // using Readers; // using Shouldly; @@ -13,8 +13,8 @@ // { // public KeyReaderTests() // { -// DbReaderOptions.KeySelector(c => c.KeyProperty); -// DbReaderOptions.KeySelector(c => c.FirstKeyProperty, c => c.SecondKeyProperty); +// DbClientOptions.KeySelector(c => c.KeyProperty); +// DbClientOptions.KeySelector(c => c.FirstKeyProperty, c => c.SecondKeyProperty); // } // public void ShouldReadSingleKey(IKeyReader keyReader) diff --git a/src/DbReader.Tests/ManyToOnePropertySelectorTests.cs b/src/DbClient.Tests/ManyToOnePropertySelectorTests.cs similarity index 91% rename from src/DbReader.Tests/ManyToOnePropertySelectorTests.cs rename to src/DbClient.Tests/ManyToOnePropertySelectorTests.cs index 76243fe..1e258da 100644 --- a/src/DbReader.Tests/ManyToOnePropertySelectorTests.cs +++ b/src/DbClient.Tests/ManyToOnePropertySelectorTests.cs @@ -1,8 +1,8 @@ -// namespace DbReader.Tests +// namespace DbClient.Tests // { -// using DbReader.Interfaces; -// using DbReader.LightInject; -// using DbReader.Tests.LightInject.xUnit2; +// using DbClient.Interfaces; +// using DbClient.LightInject; +// using DbClient.Tests.LightInject.xUnit2; // using Shouldly ; // using Xunit; // using Xunit.Extensions; diff --git a/src/DbReader.Tests/Measure.cs b/src/DbClient.Tests/Measure.cs similarity index 99% rename from src/DbReader.Tests/Measure.cs rename to src/DbClient.Tests/Measure.cs index 59dde0e..6e2b8c3 100644 --- a/src/DbReader.Tests/Measure.cs +++ b/src/DbClient.Tests/Measure.cs @@ -4,7 +4,7 @@ using System.Text; using System.Threading.Tasks; -namespace DbReader.Tests +namespace DbClient.Tests { using System.Diagnostics; diff --git a/src/DbReader.Tests/MethodSelectorTests.cs b/src/DbClient.Tests/MethodSelectorTests.cs similarity index 98% rename from src/DbReader.Tests/MethodSelectorTests.cs rename to src/DbClient.Tests/MethodSelectorTests.cs index be94c9b..22f3d6f 100644 --- a/src/DbReader.Tests/MethodSelectorTests.cs +++ b/src/DbClient.Tests/MethodSelectorTests.cs @@ -1,10 +1,10 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Data; using System.Text; - using DbReader.Interfaces; - using DbReader.LightInject; + using DbClient.Interfaces; + using DbClient.LightInject; using Selectors; using Shouldly; using Xunit; diff --git a/src/DbReader.Tests/OneToManyPropertySelectorTests.cs b/src/DbClient.Tests/OneToManyPropertySelectorTests.cs similarity index 98% rename from src/DbReader.Tests/OneToManyPropertySelectorTests.cs rename to src/DbClient.Tests/OneToManyPropertySelectorTests.cs index 13fe21f..aef0b56 100644 --- a/src/DbReader.Tests/OneToManyPropertySelectorTests.cs +++ b/src/DbClient.Tests/OneToManyPropertySelectorTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; diff --git a/src/DbReader.Tests/OnlyOnIntelAttribute.cs b/src/DbClient.Tests/OnlyOnIntelAttribute.cs similarity index 93% rename from src/DbReader.Tests/OnlyOnIntelAttribute.cs rename to src/DbClient.Tests/OnlyOnIntelAttribute.cs index d5fcdb4..78d69f2 100644 --- a/src/DbReader.Tests/OnlyOnIntelAttribute.cs +++ b/src/DbClient.Tests/OnlyOnIntelAttribute.cs @@ -1,7 +1,7 @@ using System.Runtime.InteropServices; using Xunit; -namespace DbReader.Tests +namespace DbClient.Tests { public class OnlyOnIntelFactAttribute : FactAttribute { diff --git a/src/DbReader.Tests/PrefixResolverTests.cs b/src/DbClient.Tests/PrefixResolverTests.cs similarity index 97% rename from src/DbReader.Tests/PrefixResolverTests.cs rename to src/DbClient.Tests/PrefixResolverTests.cs index 604ab17..9edf4aa 100644 --- a/src/DbReader.Tests/PrefixResolverTests.cs +++ b/src/DbClient.Tests/PrefixResolverTests.cs @@ -1,7 +1,7 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using Construction; - using DbReader.Interfaces; + using DbClient.Interfaces; using Shouldly; using Xunit; diff --git a/src/DbReader.Tests/PropertyMapperTests.cs b/src/DbClient.Tests/PropertyMapperTests.cs similarity index 97% rename from src/DbReader.Tests/PropertyMapperTests.cs rename to src/DbClient.Tests/PropertyMapperTests.cs index 61e0116..d933573 100644 --- a/src/DbReader.Tests/PropertyMapperTests.cs +++ b/src/DbClient.Tests/PropertyMapperTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using Mapping; @@ -89,7 +89,7 @@ public void ShouldProvideMeaningfulStringRepresentation() var result = propertyMapper.Execute(typeof(SampleClass), dataRecord, string.Empty); - result[0].ToString().ShouldBe("[DbReader.Tests.SampleClass] Property: Int32 Int32Property, Ordinal: 0"); + result[0].ToString().ShouldBe("[DbClient.Tests.SampleClass] Property: Int32 Int32Property, Ordinal: 0"); } } diff --git a/src/DbReader.Tests/PropertyReflectionTests.cs b/src/DbClient.Tests/PropertyReflectionTests.cs similarity index 98% rename from src/DbReader.Tests/PropertyReflectionTests.cs rename to src/DbClient.Tests/PropertyReflectionTests.cs index 502f66f..a84afad 100644 --- a/src/DbReader.Tests/PropertyReflectionTests.cs +++ b/src/DbClient.Tests/PropertyReflectionTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System.Collections.Generic; using System.Linq; diff --git a/src/DbReader.Tests/Queries/Customers.sql b/src/DbClient.Tests/Queries/Customers.sql similarity index 100% rename from src/DbReader.Tests/Queries/Customers.sql rename to src/DbClient.Tests/Queries/Customers.sql diff --git a/src/DbReader.Tests/Queries/CustomersAndOrders.sql b/src/DbClient.Tests/Queries/CustomersAndOrders.sql similarity index 100% rename from src/DbReader.Tests/Queries/CustomersAndOrders.sql rename to src/DbClient.Tests/Queries/CustomersAndOrders.sql diff --git a/src/DbReader.Tests/Queries/EmployeesHierarchy.sql b/src/DbClient.Tests/Queries/EmployeesHierarchy.sql similarity index 100% rename from src/DbReader.Tests/Queries/EmployeesHierarchy.sql rename to src/DbClient.Tests/Queries/EmployeesHierarchy.sql diff --git a/src/DbReader.Tests/Queries/EmployeesWithOrdersAndTerritories.sql b/src/DbClient.Tests/Queries/EmployeesWithOrdersAndTerritories.sql similarity index 100% rename from src/DbReader.Tests/Queries/EmployeesWithOrdersAndTerritories.sql rename to src/DbClient.Tests/Queries/EmployeesWithOrdersAndTerritories.sql diff --git a/src/DbReader.Tests/QueryCacheTests.cs b/src/DbClient.Tests/QueryCacheTests.cs similarity index 99% rename from src/DbReader.Tests/QueryCacheTests.cs rename to src/DbClient.Tests/QueryCacheTests.cs index 8ad6b78..4e52863 100644 --- a/src/DbReader.Tests/QueryCacheTests.cs +++ b/src/DbClient.Tests/QueryCacheTests.cs @@ -4,7 +4,7 @@ using Shouldly; using System.Linq; -namespace DbReader.Tests +namespace DbClient.Tests { public class QueryCacheTests { diff --git a/src/DbReader.Tests/RegExParameterParserTests.cs b/src/DbClient.Tests/RegExParameterParserTests.cs similarity index 97% rename from src/DbReader.Tests/RegExParameterParserTests.cs rename to src/DbClient.Tests/RegExParameterParserTests.cs index 1bf9eff..73f0730 100644 --- a/src/DbReader.Tests/RegExParameterParserTests.cs +++ b/src/DbClient.Tests/RegExParameterParserTests.cs @@ -1,9 +1,9 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using Database; using Shouldly; using Xunit; - using DbReader.LightInject; + using DbClient.LightInject; public class RegExParameterParserTests : ContainerFixture { diff --git a/src/DbReader.Tests/SQL.cs b/src/DbClient.Tests/SQL.cs similarity index 94% rename from src/DbReader.Tests/SQL.cs rename to src/DbClient.Tests/SQL.cs index d2ccfc7..de64f57 100644 --- a/src/DbReader.Tests/SQL.cs +++ b/src/DbClient.Tests/SQL.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { public class SQL { diff --git a/src/DbReader.Tests/SampleClass.cs b/src/DbClient.Tests/SampleClass.cs similarity index 98% rename from src/DbReader.Tests/SampleClass.cs rename to src/DbClient.Tests/SampleClass.cs index 18d3b87..124029c 100644 --- a/src/DbReader.Tests/SampleClass.cs +++ b/src/DbClient.Tests/SampleClass.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; diff --git a/src/DbReader.Tests/Settings.StyleCop b/src/DbClient.Tests/Settings.StyleCop similarity index 100% rename from src/DbReader.Tests/Settings.StyleCop rename to src/DbClient.Tests/Settings.StyleCop diff --git a/src/DbReader.Tests/SimplePropertySelectorTests.cs b/src/DbClient.Tests/SimplePropertySelectorTests.cs similarity index 98% rename from src/DbReader.Tests/SimplePropertySelectorTests.cs rename to src/DbClient.Tests/SimplePropertySelectorTests.cs index 0f0c0e9..c517216 100644 --- a/src/DbReader.Tests/SimplePropertySelectorTests.cs +++ b/src/DbClient.Tests/SimplePropertySelectorTests.cs @@ -1,9 +1,9 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; using System.Text; - using DbReader.LightInject; + using DbClient.LightInject; using Shouldly; using Xunit; using IPropertySelector = Selectors.IPropertySelector; diff --git a/src/DbReader.Tests/SqlProvider.cs b/src/DbClient.Tests/SqlProvider.cs similarity index 94% rename from src/DbReader.Tests/SqlProvider.cs rename to src/DbClient.Tests/SqlProvider.cs index 3d5035f..dd28618 100644 --- a/src/DbReader.Tests/SqlProvider.cs +++ b/src/DbClient.Tests/SqlProvider.cs @@ -1,7 +1,7 @@ using System.IO; using System.Text; -namespace DbReader.Tests +namespace DbClient.Tests { public interface ISqlProvider { @@ -35,7 +35,7 @@ private static string LoadSql(string name) { var assembly = typeof(SqlProvider).Assembly; var test = assembly.GetManifestResourceNames(); - var resourceStream = assembly.GetManifestResourceStream($"DbReader.Tests.Queries.{name}.sql"); + var resourceStream = assembly.GetManifestResourceStream($"DbClient.Tests.Queries.{name}.sql"); using (var reader = new StreamReader(resourceStream, Encoding.UTF8)) { return reader.ReadToEnd(); diff --git a/src/DbReader.Tests/TestBase.cs b/src/DbClient.Tests/TestBase.cs similarity index 96% rename from src/DbReader.Tests/TestBase.cs rename to src/DbClient.Tests/TestBase.cs index 2671f58..4019ba3 100644 --- a/src/DbReader.Tests/TestBase.cs +++ b/src/DbClient.Tests/TestBase.cs @@ -1,8 +1,8 @@ using System; using System.Reflection; -using DbReader.LightInject; +using DbClient.LightInject; -namespace DbReader.Tests +namespace DbClient.Tests { public class ContainerFixture : IDisposable { diff --git a/src/DbReader.Tests/TestCollectionOrderer.cs b/src/DbClient.Tests/TestCollectionOrderer.cs similarity index 85% rename from src/DbReader.Tests/TestCollectionOrderer.cs rename to src/DbClient.Tests/TestCollectionOrderer.cs index 844d7c3..30101a4 100644 --- a/src/DbReader.Tests/TestCollectionOrderer.cs +++ b/src/DbClient.Tests/TestCollectionOrderer.cs @@ -2,8 +2,8 @@ using System.Linq; using Xunit; using Xunit.Abstractions; -[assembly: TestCollectionOrderer("DbReader.Tests.TestCollectionOrderer", "DbReader.Tests")] -namespace DbReader.Tests +[assembly: TestCollectionOrderer("DbClient.Tests.TestCollectionOrderer", "DbClient.Tests")] +namespace DbClient.Tests { public class TestCollectionOrderer : ITestCollectionOrderer { diff --git a/src/DbReader.Tests/TypeExtensionTests.cs b/src/DbClient.Tests/TypeExtensionTests.cs similarity index 98% rename from src/DbReader.Tests/TypeExtensionTests.cs rename to src/DbClient.Tests/TypeExtensionTests.cs index 1d50a87..0681ab1 100644 --- a/src/DbReader.Tests/TypeExtensionTests.cs +++ b/src/DbClient.Tests/TypeExtensionTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using System.Collections.Generic; diff --git a/src/DbReader.Tests/UtilityTests.cs b/src/DbClient.Tests/UtilityTests.cs similarity index 95% rename from src/DbReader.Tests/UtilityTests.cs rename to src/DbClient.Tests/UtilityTests.cs index 530ff50..e300b59 100644 --- a/src/DbReader.Tests/UtilityTests.cs +++ b/src/DbClient.Tests/UtilityTests.cs @@ -2,7 +2,7 @@ using Shouldly; using Xunit; -namespace DbReader.Tests +namespace DbClient.Tests { public class UtilityTests { diff --git a/src/DbReader.Tests/ValueConverterTests.cs b/src/DbClient.Tests/ValueConverterTests.cs similarity index 97% rename from src/DbReader.Tests/ValueConverterTests.cs rename to src/DbClient.Tests/ValueConverterTests.cs index a6d76e2..73ea03e 100644 --- a/src/DbReader.Tests/ValueConverterTests.cs +++ b/src/DbClient.Tests/ValueConverterTests.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tests +namespace DbClient.Tests { using System; using Shouldly; diff --git a/src/DbReader.Tests/VerifiableMethodSkeleton.cs b/src/DbClient.Tests/VerifiableMethodSkeleton.cs similarity index 97% rename from src/DbReader.Tests/VerifiableMethodSkeleton.cs rename to src/DbClient.Tests/VerifiableMethodSkeleton.cs index 515f843..cb08633 100644 --- a/src/DbReader.Tests/VerifiableMethodSkeleton.cs +++ b/src/DbClient.Tests/VerifiableMethodSkeleton.cs @@ -1,10 +1,10 @@ using System; using System.Reflection; using System.Reflection.Emit; -using DbReader.Construction; +using DbClient.Construction; using ILVerifier; -namespace DbReader.Tests +namespace DbClient.Tests { public class VerifiableMethodSkeleton : IMethodSkeleton { diff --git a/src/DbReader.Tests/VerifiableMethodSkeletonFactory.cs b/src/DbClient.Tests/VerifiableMethodSkeletonFactory.cs similarity index 95% rename from src/DbReader.Tests/VerifiableMethodSkeletonFactory.cs rename to src/DbClient.Tests/VerifiableMethodSkeletonFactory.cs index 8887a03..ff1465b 100644 --- a/src/DbReader.Tests/VerifiableMethodSkeletonFactory.cs +++ b/src/DbClient.Tests/VerifiableMethodSkeletonFactory.cs @@ -1,5 +1,5 @@ #if NET7_0 -namespace DbReader.Tests +namespace DbClient.Tests { using System; using Construction; diff --git a/src/DbReader.Tests/coverlet.runsettings b/src/DbClient.Tests/coverlet.runsettings similarity index 100% rename from src/DbReader.Tests/coverlet.runsettings rename to src/DbClient.Tests/coverlet.runsettings diff --git a/src/DbReader.Tests/packages.config b/src/DbClient.Tests/packages.config similarity index 100% rename from src/DbReader.Tests/packages.config rename to src/DbClient.Tests/packages.config diff --git a/src/DbReader.Tests/sqlmd.sh b/src/DbClient.Tests/sqlmd.sh similarity index 100% rename from src/DbReader.Tests/sqlmd.sh rename to src/DbClient.Tests/sqlmd.sh diff --git a/src/DbReader.Tests/xunit.runner.json b/src/DbClient.Tests/xunit.runner.json similarity index 100% rename from src/DbReader.Tests/xunit.runner.json rename to src/DbClient.Tests/xunit.runner.json diff --git a/src/DbReader.Tracking.SampleAssembly/DbReader.Tracking.SampleAssembly.csproj b/src/DbClient.Tracking.SampleAssembly/DbClient.Tracking.SampleAssembly.csproj similarity index 63% rename from src/DbReader.Tracking.SampleAssembly/DbReader.Tracking.SampleAssembly.csproj rename to src/DbClient.Tracking.SampleAssembly/DbClient.Tracking.SampleAssembly.csproj index c89fbd1..6a982d2 100644 --- a/src/DbReader.Tracking.SampleAssembly/DbReader.Tracking.SampleAssembly.csproj +++ b/src/DbClient.Tracking.SampleAssembly/DbClient.Tracking.SampleAssembly.csproj @@ -2,17 +2,17 @@ - + - $(MSBuildProjectDirectory)/bin/$(Configuration)/net8.0/DbReader.Tracking.dll + $(MSBuildProjectDirectory)/bin/$(Configuration)/net8.0/DbClient.Tracking.dll net8.0 enable enable false - + diff --git a/src/DbClient.Tracking.SampleAssembly/SampleClasses.cs b/src/DbClient.Tracking.SampleAssembly/SampleClasses.cs new file mode 100644 index 0000000..53539c4 --- /dev/null +++ b/src/DbClient.Tracking.SampleAssembly/SampleClasses.cs @@ -0,0 +1,6 @@ +namespace DbClient.Tracking.SampleAssembly; +using DbClient.Tracking; +[Tracked] +public record PositionalRecord(int Id, string Name); + + diff --git a/src/DbReader.Tracking/DbReader.Tracking.csproj b/src/DbClient.Tracking/DbClient.Tracking.csproj similarity index 95% rename from src/DbReader.Tracking/DbReader.Tracking.csproj rename to src/DbClient.Tracking/DbClient.Tracking.csproj index 4b5784c..37ab307 100644 --- a/src/DbReader.Tracking/DbReader.Tracking.csproj +++ b/src/DbClient.Tracking/DbClient.Tracking.csproj @@ -25,7 +25,7 @@ - + diff --git a/src/DbReader.Tracking/DbReader.Tracking.nuspec b/src/DbClient.Tracking/DbClient.Tracking.nuspec similarity index 76% rename from src/DbReader.Tracking/DbReader.Tracking.nuspec rename to src/DbClient.Tracking/DbClient.Tracking.nuspec index ac0c472..9254885 100644 --- a/src/DbReader.Tracking/DbReader.Tracking.nuspec +++ b/src/DbClient.Tracking/DbClient.Tracking.nuspec @@ -2,7 +2,7 @@ - DbReader.Tracking + DbClient.Tracking 0.0.1 @@ -10,26 +10,26 @@ A custom MSBuild task package. - https://github.com/seesharper/DbReader + https://github.com/seesharper/DbClient MIT - DbReader Tracking + DbClient Tracking true - + - - + + - + diff --git a/src/DbClient.Tracking/DbClient.Tracking.targets b/src/DbClient.Tracking/DbClient.Tracking.targets new file mode 100644 index 0000000..7d3851b --- /dev/null +++ b/src/DbClient.Tracking/DbClient.Tracking.targets @@ -0,0 +1,19 @@ + + + $(MSBuildThisFileDirectory)../lib/net8.0/DbClient.Tracking.dll + TrackedAttribute + + + + + + + + + + + + + + + diff --git a/src/DbReader.Tracking/TrackingAssemblyWeaver.cs b/src/DbClient.Tracking/TrackingAssemblyWeaver.cs similarity index 99% rename from src/DbReader.Tracking/TrackingAssemblyWeaver.cs rename to src/DbClient.Tracking/TrackingAssemblyWeaver.cs index 63618ba..8b82d4f 100644 --- a/src/DbReader.Tracking/TrackingAssemblyWeaver.cs +++ b/src/DbClient.Tracking/TrackingAssemblyWeaver.cs @@ -2,7 +2,7 @@ using Mono.Cecil.Cil; using Mono.Cecil.Rocks; -namespace DbReader.Tracking; +namespace DbClient.Tracking; public class TrackingAssemblyWeaver { diff --git a/src/DbReader.Tracking/WeaveAssemby.cs b/src/DbClient.Tracking/WeaveAssemby.cs similarity index 94% rename from src/DbReader.Tracking/WeaveAssemby.cs rename to src/DbClient.Tracking/WeaveAssemby.cs index fdf801a..7f34c5a 100644 --- a/src/DbReader.Tracking/WeaveAssemby.cs +++ b/src/DbClient.Tracking/WeaveAssemby.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tracking; +namespace DbClient.Tracking; public class WeaveAssembly : Microsoft.Build.Utilities.Task { diff --git a/src/DbReader/ArgumentProcessor.cs b/src/DbClient/ArgumentProcessor.cs similarity index 99% rename from src/DbReader/ArgumentProcessor.cs rename to src/DbClient/ArgumentProcessor.cs index f44749e..7ba1788 100644 --- a/src/DbReader/ArgumentProcessor.cs +++ b/src/DbClient/ArgumentProcessor.cs @@ -1,12 +1,12 @@ using System; using System.Linq; -namespace DbReader +namespace DbClient { using System.Collections.Concurrent; using System.Data; using System.Reflection; - using DbReader.Extensions; + using DbClient.Extensions; internal static class ArgumentProcessor { diff --git a/src/DbReader/CompositionRoot.cs b/src/DbClient/CompositionRoot.cs similarity index 98% rename from src/DbReader/CompositionRoot.cs rename to src/DbClient/CompositionRoot.cs index 4a1a883..883dd46 100644 --- a/src/DbReader/CompositionRoot.cs +++ b/src/DbClient/CompositionRoot.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Collections; @@ -63,7 +63,7 @@ private static void RegisterSingletonServices(IServiceRegistry registry) .Register("FirstConstructorSelector", new PerContainerLifetime()) .Decorate(typeof(IConstructorSelector), typeof(ConstructorValidator), sr => sr.ImplementingType == typeof(ParameterlessConstructorSelector)) - .Register(factory => DbReaderOptions.ParameterParser, new PerContainerLifetime()) + .Register(factory => DbClientOptions.ParameterParser, new PerContainerLifetime()) .RegisterSingleton(); } diff --git a/src/DbReader/Construction/ArgumentParserMethodBuilder.cs b/src/DbClient/Construction/ArgumentParserMethodBuilder.cs similarity index 99% rename from src/DbReader/Construction/ArgumentParserMethodBuilder.cs rename to src/DbClient/Construction/ArgumentParserMethodBuilder.cs index 575b4da..86f5692 100644 --- a/src/DbReader/Construction/ArgumentParserMethodBuilder.cs +++ b/src/DbClient/Construction/ArgumentParserMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections.Generic; diff --git a/src/DbReader/Construction/Cache.cs b/src/DbClient/Construction/Cache.cs similarity index 97% rename from src/DbReader/Construction/Cache.cs rename to src/DbClient/Construction/Cache.cs index 86277e9..51cf2d7 100644 --- a/src/DbReader/Construction/Cache.cs +++ b/src/DbClient/Construction/Cache.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using LightInject; diff --git a/src/DbReader/Construction/CachedArgumentParserMethodBuilder.cs b/src/DbClient/Construction/CachedArgumentParserMethodBuilder.cs similarity index 96% rename from src/DbReader/Construction/CachedArgumentParserMethodBuilder.cs rename to src/DbClient/Construction/CachedArgumentParserMethodBuilder.cs index 1faca64..a4cf4ef 100644 --- a/src/DbReader/Construction/CachedArgumentParserMethodBuilder.cs +++ b/src/DbClient/Construction/CachedArgumentParserMethodBuilder.cs @@ -1,9 +1,9 @@ using System; -namespace DbReader.Construction +namespace DbClient.Construction { using System.Data; - using DbReader.Database; + using DbClient.Database; /// /// An decorator that caches diff --git a/src/DbReader/Construction/CachedInstanceReaderMethodBuilder.cs b/src/DbClient/Construction/CachedInstanceReaderMethodBuilder.cs similarity index 96% rename from src/DbReader/Construction/CachedInstanceReaderMethodBuilder.cs rename to src/DbClient/Construction/CachedInstanceReaderMethodBuilder.cs index 867378a..445ebde 100644 --- a/src/DbReader/Construction/CachedInstanceReaderMethodBuilder.cs +++ b/src/DbClient/Construction/CachedInstanceReaderMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; - using DbReader.Readers; + using DbClient.Readers; using Interfaces; /// diff --git a/src/DbReader/Construction/CachedKeyReaderMethodBuilder.cs b/src/DbClient/Construction/CachedKeyReaderMethodBuilder.cs similarity index 98% rename from src/DbReader/Construction/CachedKeyReaderMethodBuilder.cs rename to src/DbClient/Construction/CachedKeyReaderMethodBuilder.cs index 45789ce..9b67bd8 100644 --- a/src/DbReader/Construction/CachedKeyReaderMethodBuilder.cs +++ b/src/DbClient/Construction/CachedKeyReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections; diff --git a/src/DbReader/Construction/CachedOneToManyMethodBuilder.cs b/src/DbClient/Construction/CachedOneToManyMethodBuilder.cs similarity index 96% rename from src/DbReader/Construction/CachedOneToManyMethodBuilder.cs rename to src/DbClient/Construction/CachedOneToManyMethodBuilder.cs index 2c948af..74fb64d 100644 --- a/src/DbReader/Construction/CachedOneToManyMethodBuilder.cs +++ b/src/DbClient/Construction/CachedOneToManyMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; - using DbReader.Readers; + using DbClient.Readers; /// /// An decorator that diff --git a/src/DbReader/Construction/CachedReaderMethodBuilder.cs b/src/DbClient/Construction/CachedReaderMethodBuilder.cs similarity index 97% rename from src/DbReader/Construction/CachedReaderMethodBuilder.cs rename to src/DbClient/Construction/CachedReaderMethodBuilder.cs index 60e2ab5..ef071ce 100644 --- a/src/DbReader/Construction/CachedReaderMethodBuilder.cs +++ b/src/DbClient/Construction/CachedReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; diff --git a/src/DbReader/Construction/ConstructorReaderMethodBuilder.cs b/src/DbClient/Construction/ConstructorReaderMethodBuilder.cs similarity index 99% rename from src/DbReader/Construction/ConstructorReaderMethodBuilder.cs rename to src/DbClient/Construction/ConstructorReaderMethodBuilder.cs index 72431ee..00595ea 100644 --- a/src/DbReader/Construction/ConstructorReaderMethodBuilder.cs +++ b/src/DbClient/Construction/ConstructorReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System.Data; using System.Reflection; diff --git a/src/DbReader/Construction/DynamicMethodSkeleton.cs b/src/DbClient/Construction/DynamicMethodSkeleton.cs similarity index 99% rename from src/DbReader/Construction/DynamicMethodSkeleton.cs rename to src/DbClient/Construction/DynamicMethodSkeleton.cs index bf5c3f8..03e5471 100644 --- a/src/DbReader/Construction/DynamicMethodSkeleton.cs +++ b/src/DbClient/Construction/DynamicMethodSkeleton.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Reflection; diff --git a/src/DbReader/Construction/IArgumentParserMethodBuilder.cs b/src/DbClient/Construction/IArgumentParserMethodBuilder.cs similarity index 94% rename from src/DbReader/Construction/IArgumentParserMethodBuilder.cs rename to src/DbClient/Construction/IArgumentParserMethodBuilder.cs index 1be328f..2f2d118 100644 --- a/src/DbReader/Construction/IArgumentParserMethodBuilder.cs +++ b/src/DbClient/Construction/IArgumentParserMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; - using DbReader.Database; + using DbClient.Database; /// /// Represents a class that based on a given sql and the type of the arguments object, diff --git a/src/DbReader/Construction/IKeyReaderMethodBuilder.cs b/src/DbClient/Construction/IKeyReaderMethodBuilder.cs similarity index 96% rename from src/DbReader/Construction/IKeyReaderMethodBuilder.cs rename to src/DbClient/Construction/IKeyReaderMethodBuilder.cs index efeb2ac..d0db551 100644 --- a/src/DbReader/Construction/IKeyReaderMethodBuilder.cs +++ b/src/DbClient/Construction/IKeyReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections; diff --git a/src/DbReader/Construction/IManyToOneMethodBuilder.cs b/src/DbClient/Construction/IManyToOneMethodBuilder.cs similarity index 93% rename from src/DbReader/Construction/IManyToOneMethodBuilder.cs rename to src/DbClient/Construction/IManyToOneMethodBuilder.cs index cc4a9fd..9244a0a 100644 --- a/src/DbReader/Construction/IManyToOneMethodBuilder.cs +++ b/src/DbClient/Construction/IManyToOneMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; - using DbReader.Readers; + using DbClient.Readers; /// /// Represents a class that dynamically creates a method used to diff --git a/src/DbReader/Construction/IMethodSkeleton.cs b/src/DbClient/Construction/IMethodSkeleton.cs similarity index 95% rename from src/DbReader/Construction/IMethodSkeleton.cs rename to src/DbClient/Construction/IMethodSkeleton.cs index c6a5398..8f9bd97 100644 --- a/src/DbReader/Construction/IMethodSkeleton.cs +++ b/src/DbClient/Construction/IMethodSkeleton.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Reflection.Emit; diff --git a/src/DbReader/Construction/IMethodSkeletonFactory.cs b/src/DbClient/Construction/IMethodSkeletonFactory.cs similarity index 97% rename from src/DbReader/Construction/IMethodSkeletonFactory.cs rename to src/DbClient/Construction/IMethodSkeletonFactory.cs index f8c9240..ccecc02 100644 --- a/src/DbReader/Construction/IMethodSkeletonFactory.cs +++ b/src/DbClient/Construction/IMethodSkeletonFactory.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; diff --git a/src/DbReader/Construction/IOneToManyMethodBuilder.cs b/src/DbClient/Construction/IOneToManyMethodBuilder.cs similarity index 93% rename from src/DbReader/Construction/IOneToManyMethodBuilder.cs rename to src/DbClient/Construction/IOneToManyMethodBuilder.cs index fdeecab..abb858c 100644 --- a/src/DbReader/Construction/IOneToManyMethodBuilder.cs +++ b/src/DbClient/Construction/IOneToManyMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; - using DbReader.Readers; + using DbClient.Readers; /// /// Represents a class that dynamically creates a method used to diff --git a/src/DbReader/Construction/IParameterMatcher.cs b/src/DbClient/Construction/IParameterMatcher.cs similarity index 96% rename from src/DbReader/Construction/IParameterMatcher.cs rename to src/DbClient/Construction/IParameterMatcher.cs index a83bb98..5aef197 100644 --- a/src/DbReader/Construction/IParameterMatcher.cs +++ b/src/DbClient/Construction/IParameterMatcher.cs @@ -1,7 +1,7 @@ using System; using System.Data; -namespace DbReader.Construction +namespace DbClient.Construction { /// /// Represents a class that is capable of matching the properties of a given arguments type to the parameters found in a SQL statement. diff --git a/src/DbReader/Construction/IPrefixResolver.cs b/src/DbClient/Construction/IPrefixResolver.cs similarity index 95% rename from src/DbReader/Construction/IPrefixResolver.cs rename to src/DbClient/Construction/IPrefixResolver.cs index b5afc18..b35d5e6 100644 --- a/src/DbReader/Construction/IPrefixResolver.cs +++ b/src/DbClient/Construction/IPrefixResolver.cs @@ -17,11 +17,11 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ****************************************************************************** - DbReader version 1.0.0.1 - https://github.com/seesharper/DbReader + DbClient version 1.0.0.1 + https://github.com/seesharper/DbClient http://twitter.com/bernhardrichter ******************************************************************************/ -namespace DbReader.Construction +namespace DbClient.Construction { using System.Data; using System.Reflection; diff --git a/src/DbReader/Construction/IReaderMethodBuilder.cs b/src/DbClient/Construction/IReaderMethodBuilder.cs similarity index 95% rename from src/DbReader/Construction/IReaderMethodBuilder.cs rename to src/DbClient/Construction/IReaderMethodBuilder.cs index 19db0e0..d51d61f 100644 --- a/src/DbReader/Construction/IReaderMethodBuilder.cs +++ b/src/DbClient/Construction/IReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; diff --git a/src/DbReader/Construction/InstanceReaderMethodBuilder.cs b/src/DbClient/Construction/InstanceReaderMethodBuilder.cs similarity index 98% rename from src/DbReader/Construction/InstanceReaderMethodBuilder.cs rename to src/DbClient/Construction/InstanceReaderMethodBuilder.cs index a239da8..350182c 100644 --- a/src/DbReader/Construction/InstanceReaderMethodBuilder.cs +++ b/src/DbClient/Construction/InstanceReaderMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; - using DbReader.Readers; + using DbClient.Readers; using Interfaces; using Selectors; diff --git a/src/DbReader/Construction/KeyReaderMethodBuilder.cs b/src/DbClient/Construction/KeyReaderMethodBuilder.cs similarity index 98% rename from src/DbReader/Construction/KeyReaderMethodBuilder.cs rename to src/DbClient/Construction/KeyReaderMethodBuilder.cs index 6658d01..0acef15 100644 --- a/src/DbReader/Construction/KeyReaderMethodBuilder.cs +++ b/src/DbClient/Construction/KeyReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections; diff --git a/src/DbReader/Construction/ManyToOneMethodBuilder.cs b/src/DbClient/Construction/ManyToOneMethodBuilder.cs similarity index 99% rename from src/DbReader/Construction/ManyToOneMethodBuilder.cs rename to src/DbClient/Construction/ManyToOneMethodBuilder.cs index f9be018..02b5f01 100644 --- a/src/DbReader/Construction/ManyToOneMethodBuilder.cs +++ b/src/DbClient/Construction/ManyToOneMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections.Generic; diff --git a/src/DbReader/Construction/MatchedParameter.cs b/src/DbClient/Construction/MatchedParameter.cs similarity index 95% rename from src/DbReader/Construction/MatchedParameter.cs rename to src/DbClient/Construction/MatchedParameter.cs index abb2df2..9516b67 100644 --- a/src/DbReader/Construction/MatchedParameter.cs +++ b/src/DbClient/Construction/MatchedParameter.cs @@ -1,7 +1,7 @@ using System.Reflection; -using DbReader.Database; +using DbClient.Database; -namespace DbReader.Construction +namespace DbClient.Construction { /// /// Represents a match between an argument object property and parameter found in a given sql statement. diff --git a/src/DbReader/Construction/MethodSkeletonFactory.cs b/src/DbClient/Construction/MethodSkeletonFactory.cs similarity index 98% rename from src/DbReader/Construction/MethodSkeletonFactory.cs rename to src/DbClient/Construction/MethodSkeletonFactory.cs index b318b4a..8303f6a 100644 --- a/src/DbReader/Construction/MethodSkeletonFactory.cs +++ b/src/DbClient/Construction/MethodSkeletonFactory.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Reflection; diff --git a/src/DbReader/Construction/OneToManyMethodBuilder.cs b/src/DbClient/Construction/OneToManyMethodBuilder.cs similarity index 99% rename from src/DbReader/Construction/OneToManyMethodBuilder.cs rename to src/DbClient/Construction/OneToManyMethodBuilder.cs index 27bba92..415c8a4 100644 --- a/src/DbReader/Construction/OneToManyMethodBuilder.cs +++ b/src/DbClient/Construction/OneToManyMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections.Generic; diff --git a/src/DbReader/Construction/ParameterMatcher.cs b/src/DbClient/Construction/ParameterMatcher.cs similarity index 97% rename from src/DbReader/Construction/ParameterMatcher.cs rename to src/DbClient/Construction/ParameterMatcher.cs index d242873..1138521 100644 --- a/src/DbReader/Construction/ParameterMatcher.cs +++ b/src/DbClient/Construction/ParameterMatcher.cs @@ -2,11 +2,11 @@ using System.Collections.Generic; using System.Data; using System.Linq; -using DbReader.Database; -using DbReader.Extensions; -using DbReader.Selectors; +using DbClient.Database; +using DbClient.Extensions; +using DbClient.Selectors; -namespace DbReader.Construction +namespace DbClient.Construction { /// /// A class that matches the properties of a given arguments type to the parameters found in a SQL statement. diff --git a/src/DbReader/Construction/PrefixResolver.cs b/src/DbClient/Construction/PrefixResolver.cs similarity index 99% rename from src/DbReader/Construction/PrefixResolver.cs rename to src/DbClient/Construction/PrefixResolver.cs index 5e1b977..9f6c808 100644 --- a/src/DbReader/Construction/PrefixResolver.cs +++ b/src/DbClient/Construction/PrefixResolver.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; diff --git a/src/DbReader/Construction/PropertyReaderDelegate.cs b/src/DbClient/Construction/PropertyReaderDelegate.cs similarity index 93% rename from src/DbReader/Construction/PropertyReaderDelegate.cs rename to src/DbClient/Construction/PropertyReaderDelegate.cs index 8e5866d..056e15a 100644 --- a/src/DbReader/Construction/PropertyReaderDelegate.cs +++ b/src/DbClient/Construction/PropertyReaderDelegate.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; diff --git a/src/DbReader/Construction/PropertyReaderDelegateCache.cs b/src/DbClient/Construction/PropertyReaderDelegateCache.cs similarity index 88% rename from src/DbReader/Construction/PropertyReaderDelegateCache.cs rename to src/DbClient/Construction/PropertyReaderDelegateCache.cs index 2200911..8734dd6 100644 --- a/src/DbReader/Construction/PropertyReaderDelegateCache.cs +++ b/src/DbClient/Construction/PropertyReaderDelegateCache.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { /// /// Caches a diff --git a/src/DbReader/Construction/PropertyReaderMethodBuilder.cs b/src/DbClient/Construction/PropertyReaderMethodBuilder.cs similarity index 99% rename from src/DbReader/Construction/PropertyReaderMethodBuilder.cs rename to src/DbClient/Construction/PropertyReaderMethodBuilder.cs index f0c4404..04167ce 100644 --- a/src/DbReader/Construction/PropertyReaderMethodBuilder.cs +++ b/src/DbClient/Construction/PropertyReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections.ObjectModel; diff --git a/src/DbReader/Construction/ReaderMethodBuilder.cs b/src/DbClient/Construction/ReaderMethodBuilder.cs similarity index 99% rename from src/DbReader/Construction/ReaderMethodBuilder.cs rename to src/DbClient/Construction/ReaderMethodBuilder.cs index 6eedc27..00199e7 100644 --- a/src/DbReader/Construction/ReaderMethodBuilder.cs +++ b/src/DbClient/Construction/ReaderMethodBuilder.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Data; diff --git a/src/DbReader/Construction/StaticCache.cs b/src/DbClient/Construction/StaticCache.cs similarity index 97% rename from src/DbReader/Construction/StaticCache.cs rename to src/DbClient/Construction/StaticCache.cs index f050741..669eedf 100644 --- a/src/DbReader/Construction/StaticCache.cs +++ b/src/DbClient/Construction/StaticCache.cs @@ -1,4 +1,4 @@ -namespace DbReader.Construction +namespace DbClient.Construction { using System; using System.Collections.Concurrent; diff --git a/src/DbReader/ContainerExtensions.cs b/src/DbClient/ContainerExtensions.cs similarity index 99% rename from src/DbReader/ContainerExtensions.cs rename to src/DbClient/ContainerExtensions.cs index 22d3db9..9c18ea4 100644 --- a/src/DbReader/ContainerExtensions.cs +++ b/src/DbClient/ContainerExtensions.cs @@ -1,4 +1,4 @@ -//namespace DbReader +//namespace DbClient //{ // using System; // using System.Linq; diff --git a/src/DbReader/DataReaderExtensions.cs b/src/DbClient/DataReaderExtensions.cs similarity index 99% rename from src/DbReader/DataReaderExtensions.cs rename to src/DbClient/DataReaderExtensions.cs index cee9260..0bad169 100644 --- a/src/DbReader/DataReaderExtensions.cs +++ b/src/DbClient/DataReaderExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Collections.Generic; diff --git a/src/DbReader/DataRecordExtensions.cs b/src/DbClient/DataRecordExtensions.cs similarity index 99% rename from src/DbReader/DataRecordExtensions.cs rename to src/DbClient/DataRecordExtensions.cs index d206898..fbe662f 100644 --- a/src/DbReader/DataRecordExtensions.cs +++ b/src/DbClient/DataRecordExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Data; diff --git a/src/DbReader/Database/ArgumentParser.cs b/src/DbClient/Database/ArgumentParser.cs similarity index 97% rename from src/DbReader/Database/ArgumentParser.cs rename to src/DbClient/Database/ArgumentParser.cs index 031b73f..df9e873 100644 --- a/src/DbReader/Database/ArgumentParser.cs +++ b/src/DbClient/Database/ArgumentParser.cs @@ -1,4 +1,4 @@ -namespace DbReader.Database +namespace DbClient.Database { using System; using System.Data; diff --git a/src/DbReader/Database/IArgumentParser.cs b/src/DbClient/Database/IArgumentParser.cs similarity index 97% rename from src/DbReader/Database/IArgumentParser.cs rename to src/DbClient/Database/IArgumentParser.cs index bf29dc3..85b6646 100644 --- a/src/DbReader/Database/IArgumentParser.cs +++ b/src/DbClient/Database/IArgumentParser.cs @@ -1,4 +1,4 @@ -namespace DbReader.Database +namespace DbClient.Database { using System; using System.Data; diff --git a/src/DbReader/Database/IParameterParser.cs b/src/DbClient/Database/IParameterParser.cs similarity index 98% rename from src/DbReader/Database/IParameterParser.cs rename to src/DbClient/Database/IParameterParser.cs index bd7cb69..03399de 100644 --- a/src/DbReader/Database/IParameterParser.cs +++ b/src/DbClient/Database/IParameterParser.cs @@ -1,4 +1,4 @@ -namespace DbReader.Database +namespace DbClient.Database { /// /// Represents a class that is capable of parsing a SQL statement diff --git a/src/DbReader/Database/QueryInfo.cs b/src/DbClient/Database/QueryInfo.cs similarity index 97% rename from src/DbReader/Database/QueryInfo.cs rename to src/DbClient/Database/QueryInfo.cs index b729cbd..40c035f 100644 --- a/src/DbReader/Database/QueryInfo.cs +++ b/src/DbClient/Database/QueryInfo.cs @@ -1,6 +1,6 @@ using System.Data; -namespace DbReader.Database +namespace DbClient.Database { /// diff --git a/src/DbReader/Database/RegExParameterParser.cs b/src/DbClient/Database/RegExParameterParser.cs similarity index 98% rename from src/DbReader/Database/RegExParameterParser.cs rename to src/DbClient/Database/RegExParameterParser.cs index 75bd563..70ff4b3 100644 --- a/src/DbReader/Database/RegExParameterParser.cs +++ b/src/DbClient/Database/RegExParameterParser.cs @@ -1,4 +1,4 @@ -namespace DbReader.Database +namespace DbClient.Database { using System; using System.Collections.Generic; diff --git a/src/DbReader/DbReader.csproj b/src/DbClient/DbClient.csproj similarity index 91% rename from src/DbReader/DbReader.csproj rename to src/DbClient/DbClient.csproj index 5bcde3a..2559d83 100644 --- a/src/DbReader/DbReader.csproj +++ b/src/DbClient/DbClient.csproj @@ -3,9 +3,9 @@ net8.0 Bernhard Richter - https://github.com/seesharper/DbReader + https://github.com/seesharper/DbClient git - https://github.com/seesharper/DbReader + https://github.com/seesharper/DbClient http://opensource.org/licenses/MIT Bernhard Richter data-access orm sql micro-orm diff --git a/src/DbReader/DbReaderOptions.cs b/src/DbClient/DbClientOptions.cs similarity index 97% rename from src/DbReader/DbReaderOptions.cs rename to src/DbClient/DbClientOptions.cs index 51eb9b0..8887118 100644 --- a/src/DbReader/DbReaderOptions.cs +++ b/src/DbClient/DbClientOptions.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Collections.Concurrent; @@ -13,14 +13,14 @@ using System.Threading; using System.Threading.Tasks; using Database; - using DbReader.Extensions; + using DbClient.Extensions; using Interfaces; using Selectors; /// /// Allows custom behavior to be specified /// - public static class DbReaderOptions + public static class DbClientOptions { private static readonly ConcurrentDictionary KeyProperties = new ConcurrentDictionary(); @@ -33,7 +33,7 @@ public static class DbReaderOptions /// public static Action CommandInitializer { get; set; } - static DbReaderOptions() + static DbClientOptions() { KeyConvention = p => p.Name.Equals("Id", StringComparison.OrdinalIgnoreCase) diff --git a/src/DbReader/DbConnectionExtensions.cs b/src/DbClient/DbConnectionExtensions.cs similarity index 99% rename from src/DbReader/DbConnectionExtensions.cs rename to src/DbClient/DbConnectionExtensions.cs index 280e852..81bbbe3 100644 --- a/src/DbReader/DbConnectionExtensions.cs +++ b/src/DbClient/DbConnectionExtensions.cs @@ -1,6 +1,6 @@ using System.Linq; -namespace DbReader +namespace DbClient { using System; using System.Collections; @@ -10,10 +10,10 @@ namespace DbReader using System.Threading; using System.Threading.Tasks; using Database; - using DbReader.Construction; - using DbReader.Extensions; + using DbClient.Construction; + using DbClient.Extensions; using LightInject; - using static DbReaderOptions; + using static DbClientOptions; /// /// Extends the interface. diff --git a/src/DbReader/DynamicArguments/ArgumentsBuilder.cs b/src/DbClient/DynamicArguments/ArgumentsBuilder.cs similarity index 98% rename from src/DbReader/DynamicArguments/ArgumentsBuilder.cs rename to src/DbClient/DynamicArguments/ArgumentsBuilder.cs index 9a9e3e7..44cd32c 100644 --- a/src/DbReader/DynamicArguments/ArgumentsBuilder.cs +++ b/src/DbClient/DynamicArguments/ArgumentsBuilder.cs @@ -4,10 +4,10 @@ using System.Linq; using System.Reflection; using System.Reflection.Emit; -using DbReader.DynamicArguments; -using DbReader.Tracking; +using DbClient.DynamicArguments; +using DbClient.Tracking; -namespace DbReader +namespace DbClient { /// /// Defines and creates new dynamic/anonymous types at runtime. diff --git a/src/DbReader/DynamicArguments/DynamicMemberInfo.cs b/src/DbClient/DynamicArguments/DynamicMemberInfo.cs similarity index 98% rename from src/DbReader/DynamicArguments/DynamicMemberInfo.cs rename to src/DbClient/DynamicArguments/DynamicMemberInfo.cs index 34c9a70..681ee34 100644 --- a/src/DbReader/DynamicArguments/DynamicMemberInfo.cs +++ b/src/DbClient/DynamicArguments/DynamicMemberInfo.cs @@ -1,6 +1,6 @@ using System; -namespace DbReader.DynamicArguments +namespace DbClient.DynamicArguments { /// /// Represents metadata about a dynamic member. diff --git a/src/DbReader/DynamicArguments/DynamicTypeActivator.cs b/src/DbClient/DynamicArguments/DynamicTypeActivator.cs similarity index 98% rename from src/DbReader/DynamicArguments/DynamicTypeActivator.cs rename to src/DbClient/DynamicArguments/DynamicTypeActivator.cs index e833ddc..bcc635e 100644 --- a/src/DbReader/DynamicArguments/DynamicTypeActivator.cs +++ b/src/DbClient/DynamicArguments/DynamicTypeActivator.cs @@ -1,7 +1,7 @@ using System; using System.Reflection.Emit; -namespace DbReader.DynamicArguments +namespace DbClient.DynamicArguments { /// /// Creates instances. diff --git a/src/DbReader/DynamicArguments/DynamicValueExtractor.cs b/src/DbClient/DynamicArguments/DynamicValueExtractor.cs similarity index 98% rename from src/DbReader/DynamicArguments/DynamicValueExtractor.cs rename to src/DbClient/DynamicArguments/DynamicValueExtractor.cs index 1e0f893..749df96 100644 --- a/src/DbReader/DynamicArguments/DynamicValueExtractor.cs +++ b/src/DbClient/DynamicArguments/DynamicValueExtractor.cs @@ -4,10 +4,10 @@ using System.Linq; using System.Reflection; using System.Reflection.Emit; -using DbReader.Extensions; -using DbReader.Tracking; +using DbClient.Extensions; +using DbClient.Tracking; -namespace DbReader.DynamicArguments +namespace DbClient.DynamicArguments { /// /// Extracts values from an existing object and creates an array of . diff --git a/src/DbReader/DynamicArguments/IDynamicType.cs b/src/DbClient/DynamicArguments/IDynamicType.cs similarity index 94% rename from src/DbReader/DynamicArguments/IDynamicType.cs rename to src/DbClient/DynamicArguments/IDynamicType.cs index 904d5e4..ba7d91f 100644 --- a/src/DbReader/DynamicArguments/IDynamicType.cs +++ b/src/DbClient/DynamicArguments/IDynamicType.cs @@ -1,4 +1,4 @@ -namespace DbReader.DynamicArguments +namespace DbClient.DynamicArguments { /// /// Implemented by the types generated by the `ArgumentsBuilder` class to be able to get an value by name. diff --git a/src/DbReader/DynamicArguments/TypeArrayEqualityComparer.cs b/src/DbClient/DynamicArguments/TypeArrayEqualityComparer.cs similarity index 96% rename from src/DbReader/DynamicArguments/TypeArrayEqualityComparer.cs rename to src/DbClient/DynamicArguments/TypeArrayEqualityComparer.cs index 9194ac5..36c65a0 100644 --- a/src/DbReader/DynamicArguments/TypeArrayEqualityComparer.cs +++ b/src/DbClient/DynamicArguments/TypeArrayEqualityComparer.cs @@ -1,6 +1,6 @@ using System.Collections.Generic; -namespace DbReader.DynamicArguments +namespace DbClient.DynamicArguments { internal class DynamicMemberInfoArrayEqualityComparer : IEqualityComparer { diff --git a/src/DbReader/DynamicArguments/ValueAccessor.cs b/src/DbClient/DynamicArguments/ValueAccessor.cs similarity index 98% rename from src/DbReader/DynamicArguments/ValueAccessor.cs rename to src/DbClient/DynamicArguments/ValueAccessor.cs index 5a6f4b4..55fdf11 100644 --- a/src/DbReader/DynamicArguments/ValueAccessor.cs +++ b/src/DbClient/DynamicArguments/ValueAccessor.cs @@ -3,7 +3,7 @@ using System.Reflection.Emit; using System.Runtime.CompilerServices; -namespace DbReader.DynamicArguments +namespace DbClient.DynamicArguments { /// /// Enables access to values by the field name. diff --git a/src/DbReader/ErrorMessages.cs b/src/DbClient/ErrorMessages.cs similarity index 87% rename from src/DbReader/ErrorMessages.cs rename to src/DbClient/ErrorMessages.cs index 53a1b7f..e4f105f 100644 --- a/src/DbReader/ErrorMessages.cs +++ b/src/DbClient/ErrorMessages.cs @@ -1,16 +1,16 @@ -namespace DbReader +namespace DbClient { internal class ErrorMessages { public const string ConstructorNotFound = "The type ({0}) does not contain a public parameterless constructor."; public const string DuplicateFieldName = "The data record contains a duplicate field name ({0}). Make sure that every column/field name in the data record is unique."; - public const string IncompatibleTypes = "The property ({0}) is not compatible with the column ({1})returned from the data record. Please make sure that the property is declared as ({2}) or that the column is returned as ({3}). Alternatively register a custom conversion function using the DbReaderOptions class."; + public const string IncompatibleTypes = "The property ({0}) is not compatible with the column ({1})returned from the data record. Please make sure that the property is declared as ({2}) or that the column is returned as ({3}). Alternatively register a custom conversion function using the DbClientOptions class."; public const string MissingKeyProperties = "The type ({0}) does not contain any properties that is considered a key property."; public const string UnmappedKeyProperty = "The property ({0}) is considered a key property, but is not available in the result set. Please make sure that the result set contains a field that can be mapped this property."; public const string MissingArgument = "Unable to resolve an argument value for parameter ({0}). Please make sure that the argument object has a property named '{0}'"; public const string DuplicateParameter = - "The parameter {0} is already specified. If this parameter is added in the DbReaderOptions.CommandInitializer method there is no need to define the argument when executing the query." + "The parameter {0} is already specified. If this parameter is added in the DbClientOptions.CommandInitializer method there is no need to define the argument when executing the query." ; public const string InvalidCollectionType = @@ -19,10 +19,10 @@ internal class ErrorMessages public const string SimpleProjectType = "{0} Simple types such as string and int are not allowed as the item type for a collection property."; - public const string UnknownArgumentType = "The property {0} has a type ({1}) that cannot be passed as an argument. Consider adding support for {1} using DbReaderOptions.WhenPassing()"; + public const string UnknownArgumentType = "The property {0} has a type ({1}) that cannot be passed as an argument. Consider adding support for {1} using DbClientOptions.WhenPassing()"; public const string InvalidListArgument = "The parameter {0} is defined a list parameter, but the property {1} is not IEnumerable"; - public const string InvalidParameterValue = "The parameter ({0}) did not accept the value `{1}` ({2}). If the value is a custom type, consider adding support for the type using DbReaderOptions.WhenPassing()"; + public const string InvalidParameterValue = "The parameter ({0}) did not accept the value `{1}` ({2}). If the value is a custom type, consider adding support for the type using DbClientOptions.WhenPassing()"; } } \ No newline at end of file diff --git a/src/DbReader/Extensions/CollectionExtensions.cs b/src/DbClient/Extensions/CollectionExtensions.cs similarity index 98% rename from src/DbReader/Extensions/CollectionExtensions.cs rename to src/DbClient/Extensions/CollectionExtensions.cs index 14883a9..8102472 100644 --- a/src/DbReader/Extensions/CollectionExtensions.cs +++ b/src/DbClient/Extensions/CollectionExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Extensions +namespace DbClient.Extensions { using System; using System.Collections.Concurrent; diff --git a/src/DbReader/Extensions/ExpressionExtensions.cs b/src/DbClient/Extensions/ExpressionExtensions.cs similarity index 97% rename from src/DbReader/Extensions/ExpressionExtensions.cs rename to src/DbClient/Extensions/ExpressionExtensions.cs index a7ae1be..9ce5a83 100644 --- a/src/DbReader/Extensions/ExpressionExtensions.cs +++ b/src/DbClient/Extensions/ExpressionExtensions.cs @@ -2,7 +2,7 @@ using System.Collections.ObjectModel; using System.Linq.Expressions; -namespace DbReader.Extensions +namespace DbClient.Extensions { /// /// Extends the class. diff --git a/src/DbReader/Extensions/GeneratorExtensions.cs b/src/DbClient/Extensions/GeneratorExtensions.cs similarity index 98% rename from src/DbReader/Extensions/GeneratorExtensions.cs rename to src/DbClient/Extensions/GeneratorExtensions.cs index 72b0f45..8a5a263 100644 --- a/src/DbReader/Extensions/GeneratorExtensions.cs +++ b/src/DbClient/Extensions/GeneratorExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Extensions +namespace DbClient.Extensions { using System.Diagnostics.CodeAnalysis; using System.Reflection.Emit; diff --git a/src/DbReader/Extensions/PropertyInfoEnumerableExtensions.cs b/src/DbClient/Extensions/PropertyInfoEnumerableExtensions.cs similarity index 97% rename from src/DbReader/Extensions/PropertyInfoEnumerableExtensions.cs rename to src/DbClient/Extensions/PropertyInfoEnumerableExtensions.cs index 66615eb..ae879fa 100644 --- a/src/DbReader/Extensions/PropertyInfoEnumerableExtensions.cs +++ b/src/DbClient/Extensions/PropertyInfoEnumerableExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Extensions +namespace DbClient.Extensions { using System.Collections.Generic; using System.Linq; diff --git a/src/DbReader/Extensions/PropertyReflectionExtensions.cs b/src/DbClient/Extensions/PropertyReflectionExtensions.cs similarity index 98% rename from src/DbReader/Extensions/PropertyReflectionExtensions.cs rename to src/DbClient/Extensions/PropertyReflectionExtensions.cs index 5a28f30..b42f2fa 100644 --- a/src/DbReader/Extensions/PropertyReflectionExtensions.cs +++ b/src/DbClient/Extensions/PropertyReflectionExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Extensions +namespace DbClient.Extensions { using System.Data; using System.Reflection; diff --git a/src/DbReader/Extensions/StringExtensions.cs b/src/DbClient/Extensions/StringExtensions.cs similarity index 99% rename from src/DbReader/Extensions/StringExtensions.cs rename to src/DbClient/Extensions/StringExtensions.cs index dee1c59..c1735fb 100644 --- a/src/DbReader/Extensions/StringExtensions.cs +++ b/src/DbClient/Extensions/StringExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Extensions +namespace DbClient.Extensions { using System; using System.Security.Cryptography; diff --git a/src/DbReader/Extensions/TypeReflectionExtensions.cs b/src/DbClient/Extensions/TypeReflectionExtensions.cs similarity index 99% rename from src/DbReader/Extensions/TypeReflectionExtensions.cs rename to src/DbClient/Extensions/TypeReflectionExtensions.cs index 303f97e..9958d90 100644 --- a/src/DbReader/Extensions/TypeReflectionExtensions.cs +++ b/src/DbClient/Extensions/TypeReflectionExtensions.cs @@ -1,4 +1,4 @@ -namespace DbReader.Extensions +namespace DbClient.Extensions { using System; using System.Collections.Concurrent; diff --git a/src/DbReader/Guard.cs b/src/DbClient/Guard.cs similarity index 96% rename from src/DbReader/Guard.cs rename to src/DbClient/Guard.cs index 6f24baf..b7a7554 100644 --- a/src/DbReader/Guard.cs +++ b/src/DbClient/Guard.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; diff --git a/src/DbReader/Interfaces/IInstanceReaderMethodBuilder.cs b/src/DbClient/Interfaces/IInstanceReaderMethodBuilder.cs similarity index 94% rename from src/DbReader/Interfaces/IInstanceReaderMethodBuilder.cs rename to src/DbClient/Interfaces/IInstanceReaderMethodBuilder.cs index 07d6e92..be93d88 100644 --- a/src/DbReader/Interfaces/IInstanceReaderMethodBuilder.cs +++ b/src/DbClient/Interfaces/IInstanceReaderMethodBuilder.cs @@ -1,8 +1,8 @@ -namespace DbReader.Interfaces +namespace DbClient.Interfaces { using System; using System.Data; - using DbReader.Readers; + using DbClient.Readers; /// /// Represents a class that creates an instance of diff --git a/src/DbReader/InternalsVisibleTo.cs b/src/DbClient/InternalsVisibleTo.cs similarity index 80% rename from src/DbReader/InternalsVisibleTo.cs rename to src/DbClient/InternalsVisibleTo.cs index def65e7..4a1148d 100644 --- a/src/DbReader/InternalsVisibleTo.cs +++ b/src/DbClient/InternalsVisibleTo.cs @@ -1,6 +1,6 @@ using System.Runtime.CompilerServices; -[assembly: InternalsVisibleTo("DbReader.Tests")] +[assembly: InternalsVisibleTo("DbClient.Tests")] [assembly: InternalsVisibleTo("OneToManyDynamicMethod")] [assembly: InternalsVisibleTo("ManyToOneDynamicMethod")] [assembly: InternalsVisibleTo("ReaderDynamicMethod")] \ No newline at end of file diff --git a/src/DbReader/Mapping/CachedPropertyMapper.cs b/src/DbClient/Mapping/CachedPropertyMapper.cs similarity index 98% rename from src/DbReader/Mapping/CachedPropertyMapper.cs rename to src/DbClient/Mapping/CachedPropertyMapper.cs index 327739f..b667b97 100644 --- a/src/DbReader/Mapping/CachedPropertyMapper.cs +++ b/src/DbClient/Mapping/CachedPropertyMapper.cs @@ -1,4 +1,4 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System; using System.Collections.Concurrent; diff --git a/src/DbReader/Mapping/IKeyPropertyMapper.cs b/src/DbClient/Mapping/IKeyPropertyMapper.cs similarity index 86% rename from src/DbReader/Mapping/IKeyPropertyMapper.cs rename to src/DbClient/Mapping/IKeyPropertyMapper.cs index d621244..792d801 100644 --- a/src/DbReader/Mapping/IKeyPropertyMapper.cs +++ b/src/DbClient/Mapping/IKeyPropertyMapper.cs @@ -1,12 +1,12 @@ using System; -namespace DbReader.Mapping +namespace DbClient.Mapping { using System.Data; /// /// Represents a class that is capable of mapping the key fields from a given - /// according to the specified . + /// according to the specified . /// public interface IKeyPropertyMapper { diff --git a/src/DbReader/Mapping/IPropertyMapper.cs b/src/DbClient/Mapping/IPropertyMapper.cs similarity index 97% rename from src/DbReader/Mapping/IPropertyMapper.cs rename to src/DbClient/Mapping/IPropertyMapper.cs index 1d6ab83..2f14883 100644 --- a/src/DbReader/Mapping/IPropertyMapper.cs +++ b/src/DbClient/Mapping/IPropertyMapper.cs @@ -1,4 +1,4 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System; using System.Data; diff --git a/src/DbReader/Mapping/KeyPropertyMapper.cs b/src/DbClient/Mapping/KeyPropertyMapper.cs similarity index 92% rename from src/DbReader/Mapping/KeyPropertyMapper.cs rename to src/DbClient/Mapping/KeyPropertyMapper.cs index 2152759..5c2b0c4 100644 --- a/src/DbReader/Mapping/KeyPropertyMapper.cs +++ b/src/DbClient/Mapping/KeyPropertyMapper.cs @@ -1,4 +1,4 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System; using System.Data; @@ -6,7 +6,7 @@ /// /// An decorator that maps key fields from a given - /// according to the specified . + /// according to the specified . /// public class KeyPropertyMapper : IKeyPropertyMapper { @@ -34,7 +34,7 @@ public MappingInfo[] Execute(Type type, IDataRecord dataRecord, string prefix) MappingInfo[] propertyMappings = propertyMapper.Execute(type, dataRecord, prefix); MappingInfo[] keyPropertyMappings = - propertyMappings.Where(pm => DbReaderOptions.KeyConvention(pm.Property)).ToArray(); + propertyMappings.Where(pm => DbClientOptions.KeyConvention(pm.Property)).ToArray(); return keyPropertyMappings; } diff --git a/src/DbReader/Mapping/KeyPropertyMapperValidator.cs b/src/DbClient/Mapping/KeyPropertyMapperValidator.cs similarity index 98% rename from src/DbReader/Mapping/KeyPropertyMapperValidator.cs rename to src/DbClient/Mapping/KeyPropertyMapperValidator.cs index 1e73938..ee5c84e 100644 --- a/src/DbReader/Mapping/KeyPropertyMapperValidator.cs +++ b/src/DbClient/Mapping/KeyPropertyMapperValidator.cs @@ -1,4 +1,4 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System; using System.Data; diff --git a/src/DbReader/Mapping/MappingInfo.cs b/src/DbClient/Mapping/MappingInfo.cs similarity index 98% rename from src/DbReader/Mapping/MappingInfo.cs rename to src/DbClient/Mapping/MappingInfo.cs index f22aa34..ec69c1c 100644 --- a/src/DbReader/Mapping/MappingInfo.cs +++ b/src/DbClient/Mapping/MappingInfo.cs @@ -1,4 +1,4 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System.Reflection; using Extensions; diff --git a/src/DbReader/Mapping/PropertyMapper.cs b/src/DbClient/Mapping/PropertyMapper.cs similarity index 98% rename from src/DbReader/Mapping/PropertyMapper.cs rename to src/DbClient/Mapping/PropertyMapper.cs index ff1cf87..ba24f5c 100644 --- a/src/DbReader/Mapping/PropertyMapper.cs +++ b/src/DbClient/Mapping/PropertyMapper.cs @@ -1,11 +1,11 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System; using System.Collections.Generic; using System.Data; using System.Linq; using System.Reflection; - using DbReader.Extensions; + using DbClient.Extensions; using Selectors; /// diff --git a/src/DbReader/Mapping/PropertyTypeValidator.cs b/src/DbClient/Mapping/PropertyTypeValidator.cs similarity index 99% rename from src/DbReader/Mapping/PropertyTypeValidator.cs rename to src/DbClient/Mapping/PropertyTypeValidator.cs index 146c536..ac676b8 100644 --- a/src/DbReader/Mapping/PropertyTypeValidator.cs +++ b/src/DbClient/Mapping/PropertyTypeValidator.cs @@ -1,4 +1,4 @@ -namespace DbReader.Mapping +namespace DbClient.Mapping { using System; using System.Data; diff --git a/src/DbReader/Nuget/DbReader.nuspec b/src/DbClient/Nuget/DbReader.nuspec similarity index 93% rename from src/DbReader/Nuget/DbReader.nuspec rename to src/DbClient/Nuget/DbReader.nuspec index d2a9556..e44d2f6 100644 --- a/src/DbReader/Nuget/DbReader.nuspec +++ b/src/DbClient/Nuget/DbReader.nuspec @@ -1,12 +1,12 @@  - DbReader + DbClient 1.0.0.0 Bernhard Richter Bernhard Richter http://opensource.org/licenses/MIT - https://github.com/seesharper/DbReader + https://github.com/seesharper/DbClient false A simple and fast database reader for the .Net framework. Bernhard Richter diff --git a/src/DbReader/PassDelegate.cs b/src/DbClient/PassDelegate.cs similarity index 97% rename from src/DbReader/PassDelegate.cs rename to src/DbClient/PassDelegate.cs index 59356b4..3092f74 100644 --- a/src/DbReader/PassDelegate.cs +++ b/src/DbClient/PassDelegate.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Data; diff --git a/src/DbReader/ReadDelegate.cs b/src/DbClient/ReadDelegate.cs similarity index 98% rename from src/DbReader/ReadDelegate.cs rename to src/DbClient/ReadDelegate.cs index 3f15a9e..37fa6e5 100644 --- a/src/DbReader/ReadDelegate.cs +++ b/src/DbClient/ReadDelegate.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Data; diff --git a/src/DbReader/Readers/CachedInstanceReader.cs b/src/DbClient/Readers/CachedInstanceReader.cs similarity index 99% rename from src/DbReader/Readers/CachedInstanceReader.cs rename to src/DbClient/Readers/CachedInstanceReader.cs index 1972a76..05f1b82 100644 --- a/src/DbReader/Readers/CachedInstanceReader.cs +++ b/src/DbClient/Readers/CachedInstanceReader.cs @@ -1,4 +1,4 @@ -namespace DbReader.Readers +namespace DbClient.Readers { using System.Collections; using System.Collections.Concurrent; diff --git a/src/DbReader/Readers/IInstanceReader.cs b/src/DbClient/Readers/IInstanceReader.cs similarity index 96% rename from src/DbReader/Readers/IInstanceReader.cs rename to src/DbClient/Readers/IInstanceReader.cs index 413284f..25a6384 100644 --- a/src/DbReader/Readers/IInstanceReader.cs +++ b/src/DbClient/Readers/IInstanceReader.cs @@ -1,4 +1,4 @@ -namespace DbReader.Readers +namespace DbClient.Readers { using System.Data; diff --git a/src/DbReader/Readers/IInstanceReaderFactory.cs b/src/DbClient/Readers/IInstanceReaderFactory.cs similarity index 96% rename from src/DbReader/Readers/IInstanceReaderFactory.cs rename to src/DbClient/Readers/IInstanceReaderFactory.cs index 5faf672..259e45e 100644 --- a/src/DbReader/Readers/IInstanceReaderFactory.cs +++ b/src/DbClient/Readers/IInstanceReaderFactory.cs @@ -1,4 +1,4 @@ -namespace DbReader.Readers +namespace DbClient.Readers { /// /// Represents a class that is capable of creating an based on the given type. diff --git a/src/DbReader/Readers/IKeyReader.cs b/src/DbClient/Readers/IKeyReader.cs similarity index 97% rename from src/DbReader/Readers/IKeyReader.cs rename to src/DbClient/Readers/IKeyReader.cs index 4ca3294..729ece1 100644 --- a/src/DbReader/Readers/IKeyReader.cs +++ b/src/DbClient/Readers/IKeyReader.cs @@ -1,4 +1,4 @@ -namespace DbReader.Readers +namespace DbClient.Readers { using System; using System.Collections; diff --git a/src/DbReader/Readers/IReader.cs b/src/DbClient/Readers/IReader.cs similarity index 96% rename from src/DbReader/Readers/IReader.cs rename to src/DbClient/Readers/IReader.cs index eadb7a0..3d50e87 100644 --- a/src/DbReader/Readers/IReader.cs +++ b/src/DbClient/Readers/IReader.cs @@ -1,4 +1,4 @@ -namespace DbReader.Readers +namespace DbClient.Readers { using System.Data; diff --git a/src/DbReader/Readers/InstanceReader.cs b/src/DbClient/Readers/InstanceReader.cs similarity index 98% rename from src/DbReader/Readers/InstanceReader.cs rename to src/DbClient/Readers/InstanceReader.cs index 3389f3f..88d13fd 100644 --- a/src/DbReader/Readers/InstanceReader.cs +++ b/src/DbClient/Readers/InstanceReader.cs @@ -1,4 +1,4 @@ -namespace DbReader.Readers +namespace DbClient.Readers { using System.Data; using Interfaces; diff --git a/src/DbReader/Readers/InstanceReaderFactory.cs b/src/DbClient/Readers/InstanceReaderFactory.cs similarity index 95% rename from src/DbReader/Readers/InstanceReaderFactory.cs rename to src/DbClient/Readers/InstanceReaderFactory.cs index 4ef3ee4..3b85d2e 100644 --- a/src/DbReader/Readers/InstanceReaderFactory.cs +++ b/src/DbClient/Readers/InstanceReaderFactory.cs @@ -1,6 +1,6 @@ -using DbReader.LightInject; +using DbClient.LightInject; -namespace DbReader.Readers +namespace DbClient.Readers { /// diff --git a/src/DbReader/Readers/KeyReader.cs b/src/DbClient/Readers/KeyReader.cs similarity index 96% rename from src/DbReader/Readers/KeyReader.cs rename to src/DbClient/Readers/KeyReader.cs index 74f31ee..610725e 100644 --- a/src/DbReader/Readers/KeyReader.cs +++ b/src/DbClient/Readers/KeyReader.cs @@ -1,10 +1,10 @@ -namespace DbReader.Readers +namespace DbClient.Readers { using System; using System.Collections; using System.Data; using Construction; - using DbReader.Interfaces; + using DbClient.Interfaces; /// /// A class that is capable of reading the key columns for a given . diff --git a/src/DbReader/Selectors/CachedFieldSelector.cs b/src/DbClient/Selectors/CachedFieldSelector.cs similarity index 97% rename from src/DbReader/Selectors/CachedFieldSelector.cs rename to src/DbClient/Selectors/CachedFieldSelector.cs index 4a1c987..f41df0b 100644 --- a/src/DbReader/Selectors/CachedFieldSelector.cs +++ b/src/DbClient/Selectors/CachedFieldSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System.Collections.Generic; using System.Data; diff --git a/src/DbReader/Selectors/CachedPropertySelector.cs b/src/DbClient/Selectors/CachedPropertySelector.cs similarity index 97% rename from src/DbReader/Selectors/CachedPropertySelector.cs rename to src/DbClient/Selectors/CachedPropertySelector.cs index 52d87d5..4d631a9 100644 --- a/src/DbReader/Selectors/CachedPropertySelector.cs +++ b/src/DbClient/Selectors/CachedPropertySelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Collections.Concurrent; diff --git a/src/DbReader/Selectors/ColumnInfo.cs b/src/DbClient/Selectors/ColumnInfo.cs similarity index 98% rename from src/DbReader/Selectors/ColumnInfo.cs rename to src/DbClient/Selectors/ColumnInfo.cs index bec7ee3..66f3ddf 100644 --- a/src/DbReader/Selectors/ColumnInfo.cs +++ b/src/DbClient/Selectors/ColumnInfo.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using Extensions; diff --git a/src/DbReader/Selectors/ConstructorValidator.cs b/src/DbClient/Selectors/ConstructorValidator.cs similarity index 96% rename from src/DbReader/Selectors/ConstructorValidator.cs rename to src/DbClient/Selectors/ConstructorValidator.cs index f607ad7..a15c8a5 100644 --- a/src/DbReader/Selectors/ConstructorValidator.cs +++ b/src/DbClient/Selectors/ConstructorValidator.cs @@ -17,11 +17,11 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ****************************************************************************** - DbReader version 1.0.0.1 - https://github.com/seesharper/DbReader + DbClient version 1.0.0.1 + https://github.com/seesharper/DbClient http://twitter.com/bernhardrichter ******************************************************************************/ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Reflection; diff --git a/src/DbReader/Selectors/FieldSelector.cs b/src/DbClient/Selectors/FieldSelector.cs similarity index 98% rename from src/DbReader/Selectors/FieldSelector.cs rename to src/DbClient/Selectors/FieldSelector.cs index 7222ae0..bd787f2 100644 --- a/src/DbReader/Selectors/FieldSelector.cs +++ b/src/DbClient/Selectors/FieldSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Collections.Generic; diff --git a/src/DbReader/Selectors/FirstConstructorSelector.cs b/src/DbClient/Selectors/FirstConstructorSelector.cs similarity index 95% rename from src/DbReader/Selectors/FirstConstructorSelector.cs rename to src/DbClient/Selectors/FirstConstructorSelector.cs index 6f7f19f..4fd90ed 100644 --- a/src/DbReader/Selectors/FirstConstructorSelector.cs +++ b/src/DbClient/Selectors/FirstConstructorSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Reflection; diff --git a/src/DbReader/Selectors/IConstructorSelector.cs b/src/DbClient/Selectors/IConstructorSelector.cs similarity index 95% rename from src/DbReader/Selectors/IConstructorSelector.cs rename to src/DbClient/Selectors/IConstructorSelector.cs index 19e1d4b..f27ba97 100644 --- a/src/DbReader/Selectors/IConstructorSelector.cs +++ b/src/DbClient/Selectors/IConstructorSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Reflection; diff --git a/src/DbReader/Selectors/IFieldSelector.cs b/src/DbClient/Selectors/IFieldSelector.cs similarity index 95% rename from src/DbReader/Selectors/IFieldSelector.cs rename to src/DbClient/Selectors/IFieldSelector.cs index f12e492..7c756c1 100644 --- a/src/DbReader/Selectors/IFieldSelector.cs +++ b/src/DbClient/Selectors/IFieldSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System.Collections.Generic; using System.Data; diff --git a/src/DbReader/Selectors/IMethodSelector.cs b/src/DbClient/Selectors/IMethodSelector.cs similarity index 95% rename from src/DbReader/Selectors/IMethodSelector.cs rename to src/DbClient/Selectors/IMethodSelector.cs index dc727cb..11bb654 100644 --- a/src/DbReader/Selectors/IMethodSelector.cs +++ b/src/DbClient/Selectors/IMethodSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Data; diff --git a/src/DbReader/Selectors/IOrdinalSelector.cs b/src/DbClient/Selectors/IOrdinalSelector.cs similarity index 96% rename from src/DbReader/Selectors/IOrdinalSelector.cs rename to src/DbClient/Selectors/IOrdinalSelector.cs index 491c18d..ea91880 100644 --- a/src/DbReader/Selectors/IOrdinalSelector.cs +++ b/src/DbClient/Selectors/IOrdinalSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Data; diff --git a/src/DbReader/Selectors/IPropertySelector.cs b/src/DbClient/Selectors/IPropertySelector.cs similarity index 94% rename from src/DbReader/Selectors/IPropertySelector.cs rename to src/DbClient/Selectors/IPropertySelector.cs index 8ae8295..df3be3e 100644 --- a/src/DbReader/Selectors/IPropertySelector.cs +++ b/src/DbClient/Selectors/IPropertySelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Reflection; diff --git a/src/DbReader/Selectors/ManyToOnePropertySelector.cs b/src/DbClient/Selectors/ManyToOnePropertySelector.cs similarity index 97% rename from src/DbReader/Selectors/ManyToOnePropertySelector.cs rename to src/DbClient/Selectors/ManyToOnePropertySelector.cs index 783fb3b..6e68460 100644 --- a/src/DbReader/Selectors/ManyToOnePropertySelector.cs +++ b/src/DbClient/Selectors/ManyToOnePropertySelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Linq; diff --git a/src/DbReader/Selectors/MethodSelector.cs b/src/DbClient/Selectors/MethodSelector.cs similarity index 99% rename from src/DbReader/Selectors/MethodSelector.cs rename to src/DbClient/Selectors/MethodSelector.cs index a19a1c8..02b4246 100644 --- a/src/DbReader/Selectors/MethodSelector.cs +++ b/src/DbClient/Selectors/MethodSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Data; diff --git a/src/DbReader/Selectors/OneToManyPropertySelector.cs b/src/DbClient/Selectors/OneToManyPropertySelector.cs similarity index 96% rename from src/DbReader/Selectors/OneToManyPropertySelector.cs rename to src/DbClient/Selectors/OneToManyPropertySelector.cs index 7dc5502..7e85373 100644 --- a/src/DbReader/Selectors/OneToManyPropertySelector.cs +++ b/src/DbClient/Selectors/OneToManyPropertySelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Linq; diff --git a/src/DbReader/Selectors/OneToManyPropertyValidator.cs b/src/DbClient/Selectors/OneToManyPropertyValidator.cs similarity index 99% rename from src/DbReader/Selectors/OneToManyPropertyValidator.cs rename to src/DbClient/Selectors/OneToManyPropertyValidator.cs index 759961a..5b5cf8a 100644 --- a/src/DbReader/Selectors/OneToManyPropertyValidator.cs +++ b/src/DbClient/Selectors/OneToManyPropertyValidator.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Collections.Generic; diff --git a/src/DbReader/Selectors/OrdinalSelector.cs b/src/DbClient/Selectors/OrdinalSelector.cs similarity index 97% rename from src/DbReader/Selectors/OrdinalSelector.cs rename to src/DbClient/Selectors/OrdinalSelector.cs index f9633fb..bc463d1 100644 --- a/src/DbReader/Selectors/OrdinalSelector.cs +++ b/src/DbClient/Selectors/OrdinalSelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Data; diff --git a/src/DbReader/Selectors/ParameterlessConstructorSelector.cs b/src/DbClient/Selectors/ParameterlessConstructorSelector.cs similarity index 93% rename from src/DbReader/Selectors/ParameterlessConstructorSelector.cs rename to src/DbClient/Selectors/ParameterlessConstructorSelector.cs index afaf20b..62a2a58 100644 --- a/src/DbReader/Selectors/ParameterlessConstructorSelector.cs +++ b/src/DbClient/Selectors/ParameterlessConstructorSelector.cs @@ -1,8 +1,8 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Reflection; - using DbReader.Extensions; + using DbClient.Extensions; /// /// An that looks for a parameterless diff --git a/src/DbReader/Selectors/ReadableArgumentPropertiesValidator.cs b/src/DbClient/Selectors/ReadableArgumentPropertiesValidator.cs similarity index 97% rename from src/DbReader/Selectors/ReadableArgumentPropertiesValidator.cs rename to src/DbClient/Selectors/ReadableArgumentPropertiesValidator.cs index 58c1ab7..d211346 100644 --- a/src/DbReader/Selectors/ReadableArgumentPropertiesValidator.cs +++ b/src/DbClient/Selectors/ReadableArgumentPropertiesValidator.cs @@ -1,8 +1,8 @@ using System; using System.Reflection; -using DbReader.Extensions; +using DbClient.Extensions; -namespace DbReader.Selectors +namespace DbClient.Selectors { /// /// An decorator that ensures that diff --git a/src/DbReader/Selectors/ReadablePropertySelector.cs b/src/DbClient/Selectors/ReadablePropertySelector.cs similarity index 95% rename from src/DbReader/Selectors/ReadablePropertySelector.cs rename to src/DbClient/Selectors/ReadablePropertySelector.cs index 893b44c..3053995 100644 --- a/src/DbReader/Selectors/ReadablePropertySelector.cs +++ b/src/DbClient/Selectors/ReadablePropertySelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Data; diff --git a/src/DbReader/Selectors/SimplePropertySelector.cs b/src/DbClient/Selectors/SimplePropertySelector.cs similarity index 96% rename from src/DbReader/Selectors/SimplePropertySelector.cs rename to src/DbClient/Selectors/SimplePropertySelector.cs index 112fe5c..93c90f7 100644 --- a/src/DbReader/Selectors/SimplePropertySelector.cs +++ b/src/DbClient/Selectors/SimplePropertySelector.cs @@ -1,4 +1,4 @@ -namespace DbReader.Selectors +namespace DbClient.Selectors { using System; using System.Linq; diff --git a/src/DbReader/Settings.StyleCop b/src/DbClient/Settings.StyleCop similarity index 100% rename from src/DbReader/Settings.StyleCop rename to src/DbClient/Settings.StyleCop diff --git a/src/DbReader/SqlStatement.cs b/src/DbClient/SqlStatement.cs similarity index 93% rename from src/DbReader/SqlStatement.cs rename to src/DbClient/SqlStatement.cs index 92f1b0e..b2c6357 100644 --- a/src/DbReader/SqlStatement.cs +++ b/src/DbClient/SqlStatement.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; diff --git a/src/DbReader/Tracking/ITrackedObject.cs b/src/DbClient/Tracking/ITrackedObject.cs similarity index 92% rename from src/DbReader/Tracking/ITrackedObject.cs rename to src/DbClient/Tracking/ITrackedObject.cs index 102a4f7..8d2cb56 100644 --- a/src/DbReader/Tracking/ITrackedObject.cs +++ b/src/DbClient/Tracking/ITrackedObject.cs @@ -1,4 +1,4 @@ -namespace DbReader.Tracking; +namespace DbClient.Tracking; using System.Collections.Generic; diff --git a/src/DbReader/Tracking/TrackedAttribute.cs b/src/DbClient/Tracking/TrackedAttribute.cs similarity index 68% rename from src/DbReader/Tracking/TrackedAttribute.cs rename to src/DbClient/Tracking/TrackedAttribute.cs index 9b31bd7..34d9af6 100644 --- a/src/DbReader/Tracking/TrackedAttribute.cs +++ b/src/DbClient/Tracking/TrackedAttribute.cs @@ -1,10 +1,10 @@ using System; -namespace DbReader.Tracking; +namespace DbClient.Tracking; /// /// Used to indicate that a class should be tracked. -/// Note that the DbReader.Tracking package is required to use this attribute. +/// Note that the DbClient.Tracking package is required to use this attribute. /// [AttributeUsage(AttributeTargets.Class)] public class TrackedAttribute : Attribute diff --git a/src/DbReader/TypeEvaluator.cs b/src/DbClient/TypeEvaluator.cs similarity index 97% rename from src/DbReader/TypeEvaluator.cs rename to src/DbClient/TypeEvaluator.cs index 14c38ca..339323d 100644 --- a/src/DbReader/TypeEvaluator.cs +++ b/src/DbClient/TypeEvaluator.cs @@ -1,4 +1,4 @@ -namespace DbReader +namespace DbClient { using System; using System.Linq; diff --git a/src/DbReader/ValueConverter.cs b/src/DbClient/ValueConverter.cs similarity index 98% rename from src/DbReader/ValueConverter.cs rename to src/DbClient/ValueConverter.cs index 2a770fb..d3f6552 100644 --- a/src/DbReader/ValueConverter.cs +++ b/src/DbClient/ValueConverter.cs @@ -17,11 +17,11 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ****************************************************************************** - DbReader version 1.0.0.1 - https://github.com/seesharper/DbReader + DbClient version 1.0.0.1 + https://github.com/seesharper/DbClient http://twitter.com/bernhardrichter ******************************************************************************/ -namespace DbReader +namespace DbClient { using System; using System.Collections.Concurrent; diff --git a/src/DbReader/packages.config b/src/DbClient/packages.config similarity index 100% rename from src/DbReader/packages.config rename to src/DbClient/packages.config diff --git a/src/DbReader.Tests/Failing.playlist b/src/DbReader.Tests/Failing.playlist deleted file mode 100644 index 3785e1d..0000000 --- a/src/DbReader.Tests/Failing.playlist +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/src/DbReader.Tests/db/northwind.sql b/src/DbReader.Tests/db/northwind.sql deleted file mode 100644 index 652f713..0000000 --- a/src/DbReader.Tests/db/northwind.sql +++ /dev/null @@ -1,6286 +0,0 @@ --- Valon Hoti @ 2010-07-04 [YYYY-MM-DD] --- Prishtine,10000 --- KOSOVE --- DATABASE : Northwind --- ORIGIN : MS SQL --- SOURCE : SQLITE 3 --- --- Converted TABLES and VIEWS from MS SQL 2000 to Sqlite 3 --- - --- Modified by Len Boyette @ 2013-02-08 --- Added foreign keys - - --- Categories -DROP TABLE IF EXISTS [Categories]; -CREATE TABLE [Categories] -( [CategoryID] INTEGER PRIMARY KEY AUTOINCREMENT, - [CategoryName] TEXT, - [Description] TEXT, - [Picture] BLOB -); - -INSERT INTO Categories VALUES(null,'Beverages','Soft drinks, coffees, teas, beers, and ales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ategories VALUES(null,'Condiments','Sweet and savory sauces, relishes, spreads, and seasonings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ategories VALUES(null,'Confections','Desserts, candies, and sweet breads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ategories VALUES(null,'Dairy Products','Cheeses',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B7900010004000000500000FFEE002641646F62650064C0000000010300150403060A0D00000B2700001034000018B200002619FFDB0084000202020202020202020203020202030403020203040504040404040506050505050505060607070807070609090A0A09090C0C0C0C0C0C0C0C0C0C0C0C0C0C0C01030303050405090606090D0B090B0D0F0E0E0E0E0F0F0C0C0C0C0C0F0F0C0C0C0C0C0C0F0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0CFFC2001108006E00AF03011100021101031101FFC400DA00000203010101010000000000000000000507040608030201000100020301010100000000000000000000030401020500060710000103030304010501000301000000000100020311040510211231221306142030413223164315250711000103020404030603060700000000000100020311213141120410512213618132207191B14252231405A1D1E1824353306272A28324151200020105000203000000000000000000011130001020402131126051611301000202010402020301010100000000010011213141105161718191A1B120C1D1F0F1E1FFDA000C0301000211031100000111F3BF71D41A8A5D3041288DAC773E530E8552B54661DB2328A2AAF68E4B6FD2EE1F55E0729F95DEF0CABDC83EF6A4E2565CD645A3DC7748E039BBE9E268AE74737F7559F9AF688517BCA691BBA568D2CC18AB392A9EE107B8B6AAB6067845B8A65A4C8CA48CACD09F5275A274F4FBC7BC9F4A8D6D8A9BD9A7173E86C83E832E11C0252E8296D88228E61773DF2A36BCF36109AB506258522107CAD4FBD59514235AC8E8DCBC1CFF0091EC915A8214749AB9CDEA3CF5188D6199B27C53BFD63AA0AEB62FD2F5A05DF3F635AD5CAC3C4F9C1A9371B894117653E951513A29AAB3AD4D847671EA1AD50A9343E332F8063DC09912F85DDBA78A4AE45BF9E1EDA6723935F6832588688C35D8B179AD5825B5B49F9AC65A6B8A776B6F40864BF39B95B4F6743E609B44C1B1B39DF0DC43601C91B22737D7A4DD674A6763D5DC8B49C316240D093FB8E48D3F9CFD8481786DE3273176D69EA3129E8B759825A556373B5852D9A2BF13748B4B745CD9E14F4AAED116D24BCFD40A491712ED679BAE6751967184D2D5801AD4DA43731CAD1EC67D2E4D1436544737556B449B33C2E4A2AFA40A794C3D34113501348BC310279846C93D5119F52B9948ECFD666B69D9CABCFE1D116D08641CED84CE5AA7BAB38342CD295AC0D25C73B00C24191D4336CC032B614AF65028E11CB62F42E1B06822780F42ADB656979AA8A5A904F53DB2899A41E954932BC2CF32F72F6411B854D2BC48C83A24A7140402C995A8CE4ECF8E8B0744BA5D5806E8752EDAD1F3B574B4C512587BB9B36A22D757B394AD798D1A4D74439442A246DA2A26AF830E8742252D7BF2B0F48E8CAB4CE302E5302E2DF83C489585525E7732884024C0FD3114AF3FB214F703DC0E239CC06AC8D15A196B9B8F61F71DD56B720B2D78B6B2732F3B65ED5042767BC8BF0B9B3B6149C0ACC602271DAACCE888B757AB1127838EC2FA637478BC65667A05EB24716E54DA0E65EC40D70454E2CDBA1CCF8F9CCB43D263F95249B8B57F15F0C666BD321AB03BBA10ED049680198CC531D6880AAC4F5D16C5A749C11CC5A4D880402570775520F7FFDA000801010001050292DE40AFDE03A47D5555B0ABEC6335B788B4451129B13A8237057399B4B593257BFF00A794BB61C53EE98E22E1ABE4350B86A6CB54260179815E40B9841B086E46525EF2982A71F67558BC5485A22DADEDCB101C45D3C88FDB2E4FC87CA4BA5C87CCF4B7CAE0BE5C810C83933269990694DBC085E3536EC2F9229FC0457AFAB8AB38F93F19644AB51E18FC24A0DA2276B977F3F629FC9744AC55E38E225451555CCA64B2973A69E1732F7793038816D76DF0DB5C1EFA6F85B3322B0B60C6431F15D10EAF5973C2CCE3AE7337DFE73205D6B86BAB31C03E6B9F4286D9DFE2ED8BE2F4CC088F27EAFF001EE3FF009D621ECBFF007EB3B98330B099AB5C7D85CFA736E20CEE1DF8BBB861E7261AD1F136D8712D453635236A7D9DFE2B0F541E4CECD69E375CD97C86613D6E1B7BBBE98CAE0A32B21652BE4C146CC74393B1C77B35BDFF00A2E62CA4B6F4495D6F2DFC11DADCD2ED63EC64F362BC72BADE07353589CE6464742BDCA71C3D4E4E3ECD908A8F633781AAED842E8A37227F9BEE6479C487CD7994E1F1392CB5BDEDA3EE6660B774F2192CE69AD9966EF25A4B2B6164D3CB24B0E54DB476F9C8255ED57ED9EF30773E0F60C94D19735CA5BE6DAC57195BA99C2D5DFF004D6D701D247B8BAC1F99F87C7BB1EAF667C8FE3BB3FA8BEF5AB7BA5FE632E2E63F56A41611BA2B3BD01ED91A53FC6E59B30D9473DD995CDB831DCBF3523DF69912F576E74F0FECB23388F1D15BC8D923B986165B4F0DC092BC676F7F041B450C7C93626D238378C8E134BBC92BA43415F6732F85CF45DBC739A5B5EF138FC835CAD5F1B5D34EF95537C9CEF92EED2EA7B59ADA7F9D8E9877210A81B44231CD3A9133282536D8AA32CE653C6268B258ABCC622E513930AC69EEB43DB541B5597C6CCC9A26BE49AD60F858D986FF009E344D890D2E5F537079A23807272CA6260CB436F88C5E3F0F97C3477368C2B1F351D693F64B996B1D81B98B20A6B7F018CC10BE4CD5AB53385D45E1351DE9A8279E225755DC7BAE7B9C3BDD337C6E7B949DED7073A3C844D8A78E42C36B9291AA491D5F51BCF0E4F26E0B373CB139D72E23D46E2E1F93731BE7B5671B7694D53BF77A91DC5395A50097F670D2424ABC97CB749A68A0689D7ADE32D6DA47FF00676471F15F0B8F5AB86BB0B696987B7932EDF9039F8D9CB8B7F497F67A9AA8A7F1E6F4EE9B2BC3336D21AD505655AE2797182BC4D14FC6B7DE5F8F279397FFDA00080102000105024D080D1E9C8AE2B81422281510A0BC7D636FD9AA60411523935A5C9C9ABA291EA0DD00A6358C05454FB0CD1E538A6C9C51692B8EE5C8956E3494A6FD145454544F0804CD2472EA82AD13510A4FD61D879029082989E789F22E6848A3A3945A8C7D111C4929EE5CB7AA2990ED30EE9026740551376477344111BC478063C14640179422FD8A91C882846508CAE14206CE0A4357B53B670D0855D0F4DCA636A6F38F0AECE6D11544F154C1B17700D05C4C9C4325407753B643DC117511712A46F1634D7431A89BC1509344111A3D814436B821C4685A83171DB8209E2BA5DBF668A68D354EFA0272014640672D00DDA101A16A2DD4EFA15D13B768D28814426B54A78A734D23D9A1043470475A6842E354E146E8E45A821B079E457E346BB774BB31F5451D0951F72238AAA32EF4411DD5534AB87F101008EFA1D29A30D41088D1A78BEE772F40287F6A7701465768854C8FE6E011544C15075AECD6D0228A011154E15258810D5E42B7E3BD3FE31F61B4ABB53A0D1CA4E8BFFFDA00080103000105025F8255534AAA7B939C8B9724CB5738387640DEF3F67F2538A0829260D5C948FAE918DE01C6391E98DA4A423F637ABF468D24DCF355D231B9D98E2B8A28FD4535C9A53CE8148E4F76A15A6EFB97F10E29AF4E4D7F2D68A5D9751A0BF283B980349374742534AC78ABEF4F6A068A47724C141A02A505C4B4B13775C4AA28DC9AA478A3DF544A009D71AD579FA446A0E835A2A513CD05BFEDF9081DB914D2A4FD9ADE4A81A3C3CCBECC856E38327DDB13680A02A83404D755E469E4A299DCD3450574AE8C7A94F743B69550CA4AE49C7776C8A66900EF715D5385137EA2F47AB5A8A3D215CD39C9C7529BA376468E54E2FD4AAE837311DE435769C939C81DB5AE8D72AD113C9FA976B18FA805D11D5AD5276A6BB92A5536155A2AAE88E80268450FA8EA0A78E4C8147A5CFE95ED77528A604353F4935D4145C86C9AEA2F2A92AF3E3DB6A947AB7E83D07D0CFB0CEABFFFDA0008010202063F0287B71AC275A02758A37F34A002124D7ED76C8F9CBBAAE9D2B189C0BEA202373BCFD6703272A854AF5DE7CD4FFFDA0008010302063F02898AF5D733BCDEEBBF8A7A284A4E89B2AE40A3382CDECF696B3D37F08FFFDA0008010101063F026DAA4E4134641A07C38B5350AF82AD6CB057084336A6970F564BF32CA131CBADBE46A133735E99DAD733F985572FF043BB8DA9AE819D938642B4E2DB57EE29B2001ECA63CA8B4D2FCD5DDAB97034CECAC685B65526EBF4921FD50BBB12FF00C761FB158F0BABB97A82C562AC56375B93505F1B6B13F03E344EFF003701E0981D6D57F24228ECDE485B8D7914FA73E1B9D89F4B271337E143ECE29AD66A738D9AD17AAD12B1F1BFED774942B619951CCC8A31098C17CBE14F5553AF5AE68F00699A6E447B2E7725343B77303D91BA63ACD0507C553F087F37F05319A68E8F610D6349B9F82646E2435EF6B49173728077EA6F7579463F7A14DFC823CC6815F9AA384F33FF00B8E929FB0295BB49AB1B4558C7E3F15BDDE6EA001F0C419B7D46E0B8DC81E58AEFC957C133008DD90232E1FADED774D99F3FEA1B5741B57B4D5ADAB48A104F8AED9DF9616DC3B47F14F8FBCDDD404D23DCB303E1E09AD41A47A882D4D00569ECFF00A94CCFBF6B237E4561E68343B4B9AE0E69F1099BEDE3FBC61756081B8579BAAAA78F798DD60FA80C56E773B9676DCE20445DEAA29769349DB94F54120C5AE5A43A29E33E8941D35F22A79773BE8DB308DC76F0C771DCA5B538E4A6FF00D2747F9AD0E0E0C76A0EFB54CD95F46BFA58473181547370C57E139B276FA4D175701ACD38C71782DB8FEE07B7FDA8F9F1079F17118D1753CFC544DEAA6248C93AB8FD3C3553BFB7FEEE5E632561478EA0E0BA49EDB85EEBB913CC6F79E9737C16DA438BE2638F985ADCBBA45FFA6D5DBDD1ABA84B5E7E4A85C116B4F4B57E9B2D7FACD0EF3B2A8388B703262EFA1BE2AAE968326B70504D3B7FEC5356ACF49C2AB4A0BB9B770639DEA61C14B2CCE1ADCDD21AD45B5E9180E0E6BC0F723D979DB13F48BB7E09CC643D01D464D514239A8DBDDFC6A75DAA2AB6B13EEE646D693EE083730705669344E120133E940710BF3113C45359BA5B60EF24E738D49CD45303431BDAEF82275D6F643AA8502054B0D4D1002E4E0146C2DA3DF1B7A395931C6DCC2D5348D8DBCDC68AB04AD940C749AA28F1A95E9585954602C9D5B35B8A373DB75DAD475568056CA2A42FECB1FD53FD3AB971172AE4A6B4AEEB1ADD5F75175BB5709013D311D2D6A6CDB794C523702141BB2DD2E963AB878E68FB15A9C3D3970D23C4F99BA97B5EACFDD9A91F3B838BE82066600CD14F89C039AE0450E17511DC86E99ABA0B4D70E7EC37DE80F3E2FDCC6C2F89F775322991C4C3248E346B0624ADB6D9DEA8E3A3BDF9A3ED5168CBEA0B4D34D38B6095DDB734D62987D251D8CD1C7B893592FDC160ABDC57E6767B711CBB4660C6D3546CF7663837DE9A7C2EA8D2DB7D49D13E9DC1714543E45770358C78FAAC0AA39E5DCC8BA64D0B83D920A8582A8C153895754188C500DB9365A7318F0BDE9804E6076914A2E81A43B2F1550569AAC5415B871A109807A8E0131B52D049D5EF58A645A8BA1ED3F50C80C7E680A5B561E6AA45093747E7C4F071FA8E6A761E9907A4F81CD1E274B7AE4B35814BC98748F2E22FA5337523CCD28F4370684C92B85E88B641639E615209DAE6E5AEC53B4BBB9B995BF8B2FEE51869E9D63538FBD1A7A50AF92F9FB363D74C3C3D8DC9D9B7B9BCED3C40CF2B91557F3F61885797014C7347B40D73A724CC6BAC2FFFDA0008010103013F21346DEF2507FB2F0D00F852C64AE577096F91FA974ADB89E368FA878046184F986DD532F2829748775214E46A80D009DC694599DB373D8F243B0CDCCC385A918697D41B9E955131B337C3897AB1FA177FA963148DCA94BA87D8C59E13E618B815F7208769E35476870E4EFE097C56C713584E58CB8EFD9BB59F58C6421C9BFF00BCCBBC4FFBC423183FEF1345F918ACA3E99DA7E989AFC9700CB368CC3073A8A97A0F12DF7956FE264C7705EEC47BC41F84A00F6BDD9B0CB925D08252A1166AC7E06664E47C1334CAD781EE97EA0A587A2DDE03A44B907C925D83994E4364FD4845AF702DC873335A7A239DC9DB30ABE467DA3BF042D1DEDEE6F12B30C0A0CDBC7C4C2F1B6142D95B2F306A7649DBF4C474D8D6609832CCB6B20F2BFA8329489778641C3296947A021439730E122F0BFBC7262172D79A7080B365D8DFA4217268BB6B54A23B6731BC54DECA65FB8ED98567687B5EE665D63146AF255A3270438D8446BE67BCD0440CA2DB1FF92B830B9F53C3D3C7B88F0553F3CFE61560701CCC02E1220D6AA51872C9E0994745F2C2EB1CF67F713155B63C931772AAAB496BAED09E1EC7A8B31125C1940161F53456882E4076B8845C3560D21CF6A996EDD09E4310259CEA0B13516C3440CB2CD64581C03A94F25CCB0C9F8A1366F07276B20DACD4C510ED32A296281887969D12991CEBA084D8D613DFEBBFF2198305A04E0A8A704370764A7241A7BA8F2EB7A56267CAF9270869D11597798B50CE4C301AB5903F6DCDA980746EAAA7F83CAD55CCD1D53487744436E2ED4563AC0063DC52AEEB57C5C7355D8AF36FB97D60670C001CA8DE7B4B7A8597FD7788429FAD046E560E2EE4583976825131A4F20FC2668CF170FBC4BD7A5F27DCAD465BED21577B42321DF3707B94505ED984F4CBD2167B8FD26615A9C831F4946103BB678D3C11E9E7CB3443FBB4774B77C29D19F2C28E054C0F5185F8B5D2E34C84BAAB556D9522013CC62EAB522FBFCC56D1776D00B3C405894506D5E231528F35DD061DAECCD42365504FDA3FDDC053DCFA0967C7FAE8BF740C2145D352E942BDCD4B0290E7DCF241F46A5EAB32DE0E594CDC64595C401D04AE5375570F0217EBCC92EA2F310FB0E7F717450FE60D1CEABBBF926E4ECB8BCA36EF0315B7E63FABB5EFC27241A2183C683EC85F24E25DB264898C4707C0CA0207E317E455F96653D85635FF0044B46FDBF22EDDA2B477DCDF0C6782A167FBBBEE76742D09537307FF00704F8F411425315E9DBA9B03508E0C7BEC08E9ACDEDE7F27A53A7B95864B3B5C350C0BDA3A8788A9B2E7D87DC1ADE047773B2332EF2961B348F32CA28194D5B6856B38943F131A6D56DDCDBCCA199F39D560640B85388DAB1D29FF00D98B2CCF223ED0FB2733114FB188FF00861C268DC36CA69B38A48D1E57A94E686AE2CE13F6874CFC69955BA2AC487398F8D42E6469EE0AB6C8F9788A6A03B92F86E342478681F112B99A9EC697E60CA092B9BCEBB4716DE7CC465952F92BFB881D87C99816A73D61A95D10F2DDC5C040FE1205BC086682EDBEA1DE1AC464DF69885EAD664AEECC84DF12D44ECAF2670365DAB336F2CBF7AB1711CC600474EE0C55CAF0DBBF79F97A32EDDA50DB132EF9A8885EE9B1EB98576B8E0DEA6012853087244289C087BADC76432CA3CD785C391286C5764D42D385EFE2728ACE52DA658BEDAB672A995C625B37052F16FB77F7296DEE5236841AD8A1BCC50B099195F76EE626D3F15AFB2774AC7F53E00E8F0CFF008A88D913E62ADCD19B6EF73FFFDA0008010203013F21BA7A954D22E81B3B44E0251647B25CBBC10830832FF8697D21157432931C4A85C10C4A82EDCA4949ECF5B794CB972E5F42812184A25CC608E9A528C2098AEA62B81351D04257F06464A448312FA198351D928B7D23812B13A719541901D19699924557B87A55CDA6428375D3B9A20A08BCB85F111C3A470CA98746DB9EA3E4439266E15AC222C11C46A5C6259829C323420E2E662FB414105847099FA089B5439195B500073D1C982E258303073217B8D7A703331D01708799C29B38A2BD3712CD4B6AED1BA632AF7027888D4C6860C5B72870EE5FEFA593208853A12DA96123C0D1983A4A567A545E8588ECF1A412B0B65F1674021CA213064E9066650762527B73D33CCA9A992609548334807BDBD0A6703A0227465664C4B61D090A631D7415CCCEC8AEC330E10E8C455E514E6082711DD4CD6DCB15081DA37CCCA72C7299A791B0741DB103A180A85BFC30AA5042A6A5AEA0DD41F184F33DFA190ED3E0604508B9198408E235C37D6C41D2BC7465107F33245D1AE8162E5CCADC2B88C2E3E3A7139868CF5BD04B4C4A74713FFFDA0008010303013F21330C746749A4B2190621E86361DA56CEDD291227F2063125BD7C13B8E773B28B6C37A80F6D3F84654495D4B0F31C7A4E09B4E86D03A4C62649B7F04F47A0E65963017A466632BC4B3A3D2292084284E3A5C5C56372E91A260045E96A358AE925171D1E83A3412ED851764BB1C5188154B8DF4C94083920DCE90EECD4F24AEF8E807A74743184AC866FAAD62951239438203B2ECD5F46A8F24A8987B18EA88512263CD12BCE61B8EF1B2F45BE917A3A5CC258410E445430A86EE21860287789571831B235D93CE634AC28A98CB57082CF08DB4DA5F4A9516550B151062631417318CB2C972A5998CC421842A1B506BF81C62CB5D00CA360D7430DF4D92EE8B8B08A9714CA672CA0D741E83D31CD136CAE8EA5CDC214B9B812C290C591584475389E8BE832E65447D0BFC187A1D0B021AB94974CA7B41C391D5E91E9BDC3A54E658EB4C64A98ABA123D1424C2B7D0D7F89A75BDE3A1E86E31E8753FFDA000C030100021103110000106B6EC1F670C15D5AD66D13796BCC2D474856F1E1ED85A4001C0209B01E5187C0B8EE03DE6B6B851F23F7D46B24788E229F77312BB314B56D01E61583BA0A633D46C787AB8C12431C1893A12D9C9558C349BDBFC2EFC4115318BF59ECB4D59E144B6D7C61BA5EECDC735CCC0690CB7EEE30DD484FFFDA0008010103013F10232655B84A57D9FA95856451C581A2B4470ED65E8AE258F7956163857B431AC0D0DB4A5D7B6A0D205755E294ECF31012C946C4EF2928BC0596A00F308F606240E5B12FD4AAF78562E8368346E255512605BD2CA78953156B6ABCE4C40E0B3C509FB842FF0009FECFFE70FF00653A083DE1EB5F015FB8B973CAABFAB625A6389EBFB8A33B9088D9CBD9847BA66A9C1378BA6152F886014F066216BEE4007938E7CFE234D70142C297C346732950930D5ADDB9EDEE33BE7DEF66F45BF70A85A19B76DCC201CB55E5B8850BCBB40A39EF5C4ADB53DCFA94C0B1ABCCD90B315603CA7E922F55070DBF94C28C03B57FA810C3B2ABFACABBAF6A6FC44C4C4DCC20343C65FD4C695680193E35121513876E38849AEE8555DC02EF8B658F6B079A5D2D1C5F1AC41F86134AC06D6D624D5DEFCCB2D1B569D87938085CF71837309E4E2345B1B878770F08770C368D232596974734C55FB8E2AC675745ED14607258FB26E970C6E22E213FA0522940C1598036A7B5465A0BF32996B8ED2B05973296914174436184B1DF3C6C363504DD0E0AF81E8868E316FA9597A866682A0DAD58F4D63FE48445A0B00642A831F1099334CBCCF021B8DB5B62E008D5C416BF447F2C42CBFB8C97590054105605518F643782F1347B26BB9A99F881F60694160BCC01762A289619A960FE7018C3000775865276ED83494D3B547735899537DC250A7B8A9A07450E5A86050D17944BB2422538880579B658D350784EC1AE93AA92945454826164705C8B6E5EEF84A00E6D5655E696C45B9B68E29BD67EA35D421B2C5A1783B5D4AB400E7615EB2854AA28B8914AE108CA0B4DC6FD007CB715122E03561BAE72C47321B74AE2B7DE52F796A2D7968172FB0D89B2E099A45198B06D46E592CC2036657503A0982E00077EF38901170C2EAB0165D2D44EC438EAC2C86CF25866AE1AC898151C40D36C2CE480ADF1720F725E2D89E9C26818AA8889BBEE7A48AAFC0CD10BA6CBD660E065C2C0302E19E751492E54C1686BA4379ABB8C85CA9A2321C1ACC482EA9CD35F91201A95E61E3CDA157E01604340B5E184534D315D127E4BBA8D3140DBDC1598ADEA862B0B7715A62E018F377F8250FAB83DD1FE4BB6E018E0131180E8BDE0931EE13DBEB509E01715A829444C419DAE4079B87A99B2960ED143C56A27A8417A6B11B2978458C2DA7DB1B57378B9A2609B08A850A65DE39825BA6AF69B1BB4D6A388CD09365EEAC4DEDB5B5E007980BEC5EE0AA4DD763C410D7DE14CADAD52B58899BBA80E1C16DF78B1FC5AC6EDEAEE0880D833495F64230D146D569547A8745546C0B4BB576AFC1B659F6BA55EC195F2CC3B12C761C096E37E58A6CC8A50BD8D66F9B8F5B81FB233EC8E44B2AD9B726A10775811B5DC286221A116D166F9CE63295804750205A2F7765F98D0764B6506C54BDE9AF11AE037D75CB60EC2788CD2F38AE4626C73894396E688B07B6312850EE2614E78881AC44A5C0BA80D66300A3B9AA6CD5E79AE312C8E8A256682D9963EE2D45DD9156DDE63FDDAB8784F5165D36101DD167F518E9C51A1CDD7678DF105D54CDB22605EAC7705990A5C00032AB18D1630E220AE11217E34D52DC863CD5C35129A1C0516CFC4C1122CC6B01B3E601C149FACCB0F77F44AD6A1D0D42866A659742F415FFD9571A050E0F1EE61B3B2A68F0063EE2CA8B85140B33E12A28A8159CAAA7E6513D2A62DBC34F7961B1E020D85F72E3B7E073A201DD5B69E225B4FA8886F98B551B36CB598394302B04D3629E7CC41140B1130339BA737BCFD441E4E8EB2A3B3CC1720238318AC5117DDEF36BF64D0745A5A5CC198940007C66E44A85733080445E2EA970395F8C410A3CE03E22373066BCC3A85D49E0DFEE24652E639BAEFE6E63A0AB96C3B1F693F631010301519B2A7744695421E6EF4A3743B1716C2EF6FBE6E542C11915B54D61D92B4AE16885202D4897B210EF3360D622807CC46F5D503C41C5396EF6D7FB09A16E6B8B8C285695E6984977E731237F8492881DC29AE0325099E0708E2062F1F1885AFC2370D4214DB91ED005055B6CC9746E2190060F7FE400D895EED00E74C2E31815AAE75E6134B71B904DB2FF4D14540301F8A6088D6E1B6108681406DCC003E26AD144171466C138AAC1C778640007530037F19CC550101F41F8897D700AA61A0E0F786A83B03495FF9101A85F18945FAA65099B36F3B9BFC51AB0B2936E48D19CBED485564812551651585DDC166D4EB901D39E6620A01A3B4598529052E96AEB3515AD61C1AB310C3E6D5BCAD4A9B5835B7059D638B9BE730C995375A0E6665C0D5022EB26CCEE234A5712AE19B28546F350B2F86C814EC1550F29D128521D8DAA2CE60D8EEB572D88545696301B5CDCB5A1972D96D5EF0B474EA10AFBD994B53250CEC0C1E66CC8522CC1E34AC26988A509DA92B73C92712B0050B5FB804014F0A695F52DA83251B2850F82316DAD862F9080ED0DC46E02A3C68FEE54DDB25EF2DC514282DB57C455286D828B9171DFC422E02DD2E11ED4AAD8928010100F56FE58B2B47329755A97106AA2DC01BD298665ABD6EEE977395B8150CA2A328DDCA07BCA28504D59EF70755997FA45B2B0316D5CB3E9A2B52D06F1A81E9C90D0DCC5FB8DD69104F1429F0A830C12D2991BA2AE97352F0F5F2C85A37AC91110EF8815C91CCFF00938730077BDD31471BF11360A36BDF2CDE8B235A5C337327072CBAC69098C9D9FB4F6267FB9C6A9DD7996B5C8BCC20B3A85DB589F7737D9CDE6E181DFE669AEF3228947A182DDAEEB7F99AE2187EA0AE53CDC39CC0E1DB19420268DD5819CBA0C47E31ABDCDDD6773FFFDA0008010203013F107025CAF9E831B26660DCD04B79194AE8838F08725B9E84FEADE82AE8298211647A5157CBC4A0A7BCA2549860E830732C9A4168FC4C61CEE3EA2E65F843A0311D1E63EED3F1D2CF32AD403887843A654958B62E60699766604AD1E89A627FB94486618EF896CCC7ABC061A8E998231E56E28FA2910C4F450C5B34B2E5C0B94C342537003CDCA46A22CB515CB95946F6CF9D7FB00231A18495B20B88CD4E1CD31000598C89B6BF313969F27447C200743EBE6221773BC10B59E6880C388CADB995550DBA8DA255B061A84514F7080EEFF3FF0090D46F711CC4517351C6E622A6054A30B2A6D46F073155E9BF09DA1016DF27E2102F7CE63C3747264C98CDF10860C8E6200330844DC4EDE60A8C8F332EE4E212FA864196FF007104719F20AFD93C08B344CDA8A5A235D20D04371E1BA508517B8624708D018BA990A7311418132442F188C2B9970ECD799E48A112E558414663A8E6733C23F9258A30455BDA1578ACDEB4A90029132DA3ADDE04B13640C15328772C622585351DBDE5F78E660C6D9F339663BCA5BB83C4067673C4A67B88C4332819584D903538656ADD5F8829999053608B25EE18688611C19ADB05A9B8637193D589699973F715437570A0F678B7A38E5A71D020698D3C9081BCACC626673F110E84CC465B4AF99A8DBA5B36265135E594EF08D7CBED8046F98D4AC281E841A220E3A343314CD033D24371DB43EF310B9422E58ED23DC96526F72C54621A171CDF11B515A388AF06A3CD4770353BEF0969F84B063EFF0072E953305A35006D48F6FDC31BD54CF058D811B2EA2A3DC8F56AE69F625D6EF04CE8CCA9B605D9043B26582996AC4BB57301B5C131DDA5B1C2059DB2BA610F984A19E088B22B4ECA94B38BFEE518DACCBE550EEE0372CEDC2601C66538970C0419B805437116014F3162575EDCBD2C252E20DDB1D4E180CD71010C66BB11D5D5FE25D03DFB4B9F38BFA1FF007697B5C6ECE8B333306251FDE51789E11B3296ADAF267FF252BA6937968AB9D460D895A540DEF35A9FFFDA0008010303013F10194C4843D57920E04529332DEE398658212E6572D3E88DE547D35051529EA1C465CB972928C73E26192C32F64019972D587E626DC436553BE6EE3C88DF198409CDBF72D6FB40556013E77F91973066240471EAAA30B7546D2A43C4DE06E32E744AF327E8942F32A2C758CD4EDFD92BCED47B0C07C55359B47F8C95168192E6173BD29A435EB8DB5A970A8AE7940FEC86EFAFEA38B77150EE2695E221A566A2B882D1BC2151C5B0E06496C7705DB7B39FD4AF4ADC3B8A383102C6020216AE30223732B0324F101295EC9FB2286B5445B19F6D5FF92968BB9926206696B978805A775FB8255F8E48D9550030DBD5673F72845C21E58B9A662A0561AD6E5AE28DDC5A9F0B9FACCA762E86185BA182F1032D2A303B4D2EB372F4D6A763D2C26C54F171504B1841180A3D5BD0F10D5CCE16D59FDC1761098DA07341954C33318B44332101462BF3E25518214CA03E7731232ED9B596324A64B28E5D2686151DF049BEF7342E2345EDF730022FEC13203DFDCB196F733BB4972B82FCE63744A550B9AFA4452292164D3A2848428DCC63B73F79861DD94DA62C4B3468C4379B98F29DF88CDB64A550068C45B6E61867771815DE2502D832C8BED18660A23943A0ED3C7D057E884A83EE11D46FB7A9B968B0942B994A4BA7A705CBB102661F2971DA6B32B3D2FF00F3FA8EC4A96C31CC771CB504B428195631AC72420E2F6532D3343DFA3695331F089CA8812B301BA15DE172694D78F894F89C0EE0C5C11AE82329C4D2FA066157998E20B6603AE92A1F2110275712560EC20BDAD8FD91CDBCD7F52D0788F89862504C293265D1350D4D6274062F6991230BB988C64303DA029951DC5AD4261C0E3BC319E2142F732AA536D4AEB0BAE8EA704D1D312FC9AF1039B669D2F496E2796E6798B1A95DA177E27FFFD900'); -INSERT INTO Categories VALUES(null,'Grains/Cereals','Breads, crackers, pasta, and cereal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ategories VALUES(null,'Meat/Poultry','Prepared meats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ategories VALUES(null,'Produce','Dried fruit and bean curd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ategories VALUES(null,'Seafood','Seaweed and fish',X'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'); --- -SELECT * FROM [Categories]; --- CustomerCustomerDemo -DROP TABLE IF EXISTS [CustomerCustomerDemo]; -CREATE TABLE [CustomerCustomerDemo]( - [CustomerID]TEXT NOT NULL, - [CustomerTypeID]TEXT NOT NULL, - PRIMARY KEY ("CustomerID","CustomerTypeID"), - FOREIGN KEY ([CustomerID]) REFERENCES [Customers] ([CustomerID]) - ON DELETE NO ACTION ON UPDATE NO ACTION, - FOREIGN KEY ([CustomerTypeID]) REFERENCES [CustomerDemographics] ([CustomerTypeID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); -SELECT * FROM [CustomerCustomerDemo]; --- CustomerDemographics -DROP TABLE IF EXISTS [CustomerDemographics]; -CREATE TABLE [CustomerDemographics]( - [CustomerTypeID]TEXT NOT NULL, - [CustomerDesc]TEXT, - PRIMARY KEY ("CustomerTypeID") -); -SELECT * FROM [CustomerCustomerDemo]; --- Customers -DROP TABLE IF EXISTS [Customers]; -CREATE TABLE [Customers] -( [CustomerID] TEXT, - [CompanyName] TEXT, - [ContactName] TEXT, - [ContactTitle] TEXT, - [Address] TEXT, - [City] TEXT, - [Region] TEXT, - [PostalCode] TEXT, - [Country] TEXT, - [Phone] TEXT, - [Fax] TEXT, - PRIMARY KEY (`CustomerID`) -); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('ALFKI', 'Alfreds Futterkiste', 'Maria Anders', 'Sales Representative', 'Obere Str. 57', 'Berlin', NULL, '12209', 'Germany', '030-0074321', '030-0076545'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('ANATR', 'Ana Trujillo Emparedados y helados', 'Ana Trujillo', 'Owner', 'Avda. de la Constituci�n 2222', 'M�xico D.F.', NULL, '05021', 'Mexico', '(5) 555-4729', '(5) 555-3745'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('ANTON', 'Antonio Moreno Taquer�a', 'Antonio Moreno', 'Owner', 'Mataderos 2312', 'M�xico D.F.', NULL, '05023', 'Mexico', '(5) 555-3932', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('AROUT', 'Around the Horn', 'Thomas Hardy', 'Sales Representative', '120 Hanover Sq.', 'London', NULL, 'WA1 1DP', 'UK', '(171) 555-7788', '(171) 555-6750'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BERGS', 'Berglunds snabbk�p', 'Christina Berglund', 'Order Administrator', 'Berguvsv�gen 8', 'Lule�', NULL, 'S-958 22', 'Sweden', '0921-12 34 65', '0921-12 34 67'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BLAUS', 'Blauer See Delikatessen', 'Hanna Moos', 'Sales Representative', 'Forsterstr. 57', 'Mannheim', NULL, '68306', 'Germany', '0621-08460', '0621-08924'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BLONP', 'Blondesddsl p�re et fils', 'Fr�d�rique Citeaux', 'Marketing Manager', '24, place Kl�ber', 'Strasbourg', NULL, '67000', 'France', '88.60.15.31', '88.60.15.32'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BOLID', 'B�lido Comidas preparadas', 'Mart�n Sommer', 'Owner', 'C/ Araquil, 67', 'Madrid', NULL, '28023', 'Spain', '(91) 555 22 82', '(91) 555 91 99'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BONAP', 'Bon app''', 'Laurence Lebihan', 'Owner', '12, rue des Bouchers', 'Marseille', NULL, '13008', 'France', '91.24.45.40', '91.24.45.41'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BOTTM', 'Bottom-Dollar Markets', 'Elizabeth Lincoln', 'Accounting Manager', '23 Tsawassen Blvd.', 'Tsawassen', 'BC', 'T2F 8M4', 'Canada', '(604) 555-4729', '(604) 555-3745'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('BSBEV', 'B''s Beverages', 'Victoria Ashworth', 'Sales Representative', 'Fauntleroy Circus', 'London', NULL, 'EC2 5NT', 'UK', '(171) 555-1212', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('CACTU', 'Cactus Comidas para llevar', 'Patricio Simpson', 'Sales Agent', 'Cerrito 333', 'Buenos Aires', NULL, '1010', 'Argentina', '(1) 135-5555', '(1) 135-4892'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('CENTC', 'Centro comercial Moctezuma', 'Francisco Chang', 'Marketing Manager', 'Sierras de Granada 9993', 'M�xico D.F.', NULL, '05022', 'Mexico', '(5) 555-3392', '(5) 555-7293'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('CHOPS', 'Chop-suey Chinese', 'Yang Wang', 'Owner', 'Hauptstr. 29', 'Bern', NULL, '3012', 'Switzerland', '0452-076545', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('COMMI', 'Com�rcio Mineiro', 'Pedro Afonso', 'Sales Associate', 'Av. dos Lus�adas, 23', 'Sao Paulo', 'SP', '05432-043', 'Brazil', '(11) 555-7647', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('CONSH', 'Consolidated Holdings', 'Elizabeth Brown', 'Sales Representative', 'Berkeley Gardens 12 Brewery', 'London', NULL, 'WX1 6LT', 'UK', '(171) 555-2282', '(171) 555-9199'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('DRACD', 'Drachenblut Delikatessen', 'Sven Ottlieb', 'Order Administrator', 'Walserweg 21', 'Aachen', NULL, '52066', 'Germany', '0241-039123', '0241-059428'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('DUMON', 'Du monde entier', 'Janine Labrune', 'Owner', '67, rue des Cinquante Otages', 'Nantes', NULL, '44000', 'France', '40.67.88.88', '40.67.89.89'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('EASTC', 'Eastern Connection', 'Ann Devon', 'Sales Agent', '35 King George', 'London', NULL, 'WX3 6FW', 'UK', '(171) 555-0297', '(171) 555-3373'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('ERNSH', 'Ernst Handel', 'Roland Mendel', 'Sales Manager', 'Kirchgasse 6', 'Graz', NULL, '8010', 'Austria', '7675-3425', '7675-3426'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FAMIA', 'Familia Arquibaldo', 'Aria Cruz', 'Marketing Assistant', 'Rua Or�s, 92', 'Sao Paulo', 'SP', '05442-030', 'Brazil', '(11) 555-9857', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FISSA', 'FISSA Fabrica Inter. Salchichas S.A.', 'Diego Roel', 'Accounting Manager', 'C/ Moralzarzal, 86', 'Madrid', NULL, '28034', 'Spain', '(91) 555 94 44', '(91) 555 55 93'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FOLIG', 'Folies gourmandes', 'Martine Ranc�', 'Assistant Sales Agent', '184, chauss�e de Tournai', 'Lille', NULL, '59000', 'France', '20.16.10.16', '20.16.10.17'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FOLKO', 'Folk och f� HB', 'Maria Larsson', 'Owner', '�kergatan 24', 'Br�cke', NULL, 'S-844 67', 'Sweden', '0695-34 67 21', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FRANK', 'Frankenversand', 'Peter Franken', 'Marketing Manager', 'Berliner Platz 43', 'M�nchen', NULL, '80805', 'Germany', '089-0877310', '089-0877451'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FRANR', 'France restauration', 'Carine Schmitt', 'Marketing Manager', '54, rue Royale', 'Nantes', NULL, '44000', 'France', '40.32.21.21', '40.32.21.20'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FRANS', 'Franchi S.p.A.', 'Paolo Accorti', 'Sales Representative', 'Via Monte Bianco 34', 'Torino', NULL, '10100', 'Italy', '011-4988260', '011-4988261'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('FURIB', 'Furia Bacalhau e Frutos do Mar', 'Lino Rodriguez', 'Sales Manager', 'Jardim das rosas n. 32', 'Lisboa', NULL, '1675', 'Portugal', '(1) 354-2534', '(1) 354-2535'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('GALED', 'Galer�a del gastr�nomo', 'Eduardo Saavedra', 'Marketing Manager', 'Rambla de Catalu�a, 23', 'Barcelona', NULL, '08022', 'Spain', '(93) 203 4560', '(93) 203 4561'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('GODOS', 'Godos Cocina T�pica', 'Jos� Pedro Freyre', 'Sales Manager', 'C/ Romero, 33', 'Sevilla', NULL, '41101', 'Spain', '(95) 555 82 82', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('GOURL', 'Gourmet Lanchonetes', 'Andr� Fonseca', 'Sales Associate', 'Av. Brasil, 442', 'Campinas', 'SP', '04876-786', 'Brazil', '(11) 555-9482', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('GREAL', 'Great Lakes Food Market', 'Howard Snyder', 'Marketing Manager', '2732 Baker Blvd.', 'Eugene', 'OR', '97403', 'USA', '(503) 555-7555', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('GROSR', 'GROSELLA-Restaurante', 'Manuel Pereira', 'Owner', '5� Ave. Los Palos Grandes', 'Caracas', 'DF', '1081', 'Venezuela', '(2) 283-2951', '(2) 283-3397'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('HANAR', 'Hanari Carnes', 'Mario Pontes', 'Accounting Manager', 'Rua do Pa�o, 67', 'Rio de Janeiro', 'RJ', '05454-876', 'Brazil', '(21) 555-0091', '(21) 555-8765'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('HILAA', 'HILARION-Abastos', 'Carlos Hern�ndez', 'Sales Representative', 'Carrera 22 con Ave. Carlos Soublette #8-35', 'San Crist�bal', 'T�chira', '5022', 'Venezuela', '(5) 555-1340', '(5) 555-1948'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('HUNGC', 'Hungry Coyote Import Store', 'Yoshi Latimer', 'Sales Representative', 'City Center Plaza 516 Main St.', 'Elgin', 'OR', '97827', 'USA', '(503) 555-6874', '(503) 555-2376'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('HUNGO', 'Hungry Owl All-Night Grocers', 'Patricia McKenna', 'Sales Associate', '8 Johnstown Road', 'Cork', 'Co. Cork', NULL, 'Ireland', '2967 542', '2967 3333'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('ISLAT', 'Island Trading', 'Helen Bennett', 'Marketing Manager', 'Garden House Crowther Way', 'Cowes', 'Isle of Wight', 'PO31 7PJ', 'UK', '(198) 555-8888', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('KOENE', 'K�niglich Essen', 'Philip Cramer', 'Sales Associate', 'Maubelstr. 90', 'Brandenburg', NULL, '14776', 'Germany', '0555-09876', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LACOR', 'La corne d''abondance', 'Daniel Tonini', 'Sales Representative', '67, avenue de l''Europe', 'Versailles', NULL, '78000', 'France', '30.59.84.10', '30.59.85.11'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LAMAI', 'La maison d''Asie', 'Annette Roulet', 'Sales Manager', '1 rue Alsace-Lorraine', 'Toulouse', NULL, '31000', 'France', '61.77.61.10', '61.77.61.11'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LAUGB', 'Laughing Bacchus Wine Cellars', 'Yoshi Tannamuri', 'Marketing Assistant', '1900 Oak St.', 'Vancouver', 'BC', 'V3F 2K1', 'Canada', '(604) 555-3392', '(604) 555-7293'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LAZYK', 'Lazy K Kountry Store', 'John Steel', 'Marketing Manager', '12 Orchestra Terrace', 'Walla Walla', 'WA', '99362', 'USA', '(509) 555-7969', '(509) 555-6221'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LEHMS', 'Lehmanns Marktstand', 'Renate Messner', 'Sales Representative', 'Magazinweg 7', 'Frankfurt a.M.', NULL, '60528', 'Germany', '069-0245984', '069-0245874'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LETSS', 'Let''s Stop N Shop', 'Jaime Yorres', 'Owner', '87 Polk St. Suite 5', 'San Francisco', 'CA', '94117', 'USA', '(415) 555-5938', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LILAS', 'LILA-Supermercado', 'Carlos Gonz�lez', 'Accounting Manager', 'Carrera 52 con Ave. Bol�var #65-98 Llano Largo', 'Barquisimeto', 'Lara', '3508', 'Venezuela', '(9) 331-6954', '(9) 331-7256'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LINOD', 'LINO-Delicateses', 'Felipe Izquierdo', 'Owner', 'Ave. 5 de Mayo Porlamar', 'I. de Margarita', 'Nueva Esparta', '4980', 'Venezuela', '(8) 34-56-12', '(8) 34-93-93'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('LONEP', 'Lonesome Pine Restaurant', 'Fran Wilson', 'Sales Manager', '89 Chiaroscuro Rd.', 'Portland', 'OR', '97219', 'USA', '(503) 555-9573', '(503) 555-9646'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('MAGAA', 'Magazzini Alimentari Riuniti', 'Giovanni Rovelli', 'Marketing Manager', 'Via Ludovico il Moro 22', 'Bergamo', NULL, '24100', 'Italy', '035-640230', '035-640231'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('MAISD', 'Maison Dewey', 'Catherine Dewey', 'Sales Agent', 'Rue Joseph-Bens 532', 'Bruxelles', NULL, 'B-1180', 'Belgium', '(02) 201 24 67', '(02) 201 24 68'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('MEREP', 'M�re Paillarde', 'Jean Fresni�re', 'Marketing Assistant', '43 rue St. Laurent', 'Montr�al', 'Qu�bec', 'H1J 1C3', 'Canada', '(514) 555-8054', '(514) 555-8055'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('MORGK', 'Morgenstern Gesundkost', 'Alexander Feuer', 'Marketing Assistant', 'Heerstr. 22', 'Leipzig', NULL, '04179', 'Germany', '0342-023176', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('NORTS', 'North/South', 'Simon Crowther', 'Sales Associate', 'South House 300 Queensbridge', 'London', NULL, 'SW7 1RZ', 'UK', '(171) 555-7733', '(171) 555-2530'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('OCEAN', 'Oc�ano Atl�ntico Ltda.', 'Yvonne Moncada', 'Sales Agent', 'Ing. Gustavo Moncada 8585 Piso 20-A', 'Buenos Aires', NULL, '1010', 'Argentina', '(1) 135-5333', '(1) 135-5535'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('OLDWO', 'Old World Delicatessen', 'Rene Phillips', 'Sales Representative', '2743 Bering St.', 'Anchorage', 'AK', '99508', 'USA', '(907) 555-7584', '(907) 555-2880'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('OTTIK', 'Ottilies K�seladen', 'Henriette Pfalzheim', 'Owner', 'Mehrheimerstr. 369', 'K�ln', NULL, '50739', 'Germany', '0221-0644327', '0221-0765721'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('PARIS', 'Paris sp�cialit�s', 'Marie Bertrand', 'Owner', '265, boulevard Charonne', 'Paris', NULL, '75012', 'France', '(1) 42.34.22.66', '(1) 42.34.22.77'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('PERIC', 'Pericles Comidas cl�sicas', 'Guillermo Fern�ndez', 'Sales Representative', 'Calle Dr. Jorge Cash 321', 'M�xico D.F.', NULL, '05033', 'Mexico', '(5) 552-3745', '(5) 545-3745'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('PICCO', 'Piccolo und mehr', 'Georg Pipps', 'Sales Manager', 'Geislweg 14', 'Salzburg', NULL, '5020', 'Austria', '6562-9722', '6562-9723'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('PRINI', 'Princesa Isabel Vinhos', 'Isabel de Castro', 'Sales Representative', 'Estrada da sa�de n. 58', 'Lisboa', NULL, '1756', 'Portugal', '(1) 356-5634', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('QUEDE', 'Que Del�cia', 'Bernardo Batista', 'Accounting Manager', 'Rua da Panificadora, 12', 'Rio de Janeiro', 'RJ', '02389-673', 'Brazil', '(21) 555-4252', '(21) 555-4545'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('QUEEN', 'Queen Cozinha', 'L�cia Carvalho', 'Marketing Assistant', 'Alameda dos Can�rios, 891', 'Sao Paulo', 'SP', '05487-020', 'Brazil', '(11) 555-1189', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('QUICK', 'QUICK-Stop', 'Horst Kloss', 'Accounting Manager', 'Taucherstra�e 10', 'Cunewalde', NULL, '01307', 'Germany', '0372-035188', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('RANCH', 'Rancho grande', 'Sergio Guti�rrez', 'Sales Representative', 'Av. del Libertador 900', 'Buenos Aires', NULL, '1010', 'Argentina', '(1) 123-5555', '(1) 123-5556'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('RATTC', 'Rattlesnake Canyon Grocery', 'Paula Wilson', 'Assistant Sales Representative', '2817 Milton Dr.', 'Albuquerque', 'NM', '87110', 'USA', '(505) 555-5939', '(505) 555-3620'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('REGGC', 'Reggiani Caseifici', 'Maurizio Moroni', 'Sales Associate', 'Strada Provinciale 124', 'Reggio Emilia', NULL, '42100', 'Italy', '0522-556721', '0522-556722'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('RICAR', 'Ricardo Adocicados', 'Janete Limeira', 'Assistant Sales Agent', 'Av. Copacabana, 267', 'Rio de Janeiro', 'RJ', '02389-890', 'Brazil', '(21) 555-3412', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('RICSU', 'Richter Supermarkt', 'Michael Holz', 'Sales Manager', 'Grenzacherweg 237', 'Gen�ve', NULL, '1203', 'Switzerland', '0897-034214', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('ROMEY', 'Romero y tomillo', 'Alejandra Camino', 'Accounting Manager', 'Gran V�a, 1', 'Madrid', NULL, '28001', 'Spain', '(91) 745 6200', '(91) 745 6210'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SANTG', 'Sant� Gourmet', 'Jonas Bergulfsen', 'Owner', 'Erling Skakkes gate 78', 'Stavern', NULL, '4110', 'Norway', '07-98 92 35', '07-98 92 47'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SAVEA', 'Save-a-lot Markets', 'Jose Pavarotti', 'Sales Representative', '187 Suffolk Ln.', 'Boise', 'ID', '83720', 'USA', '(208) 555-8097', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SEVES', 'Seven Seas Imports', 'Hari Kumar', 'Sales Manager', '90 Wadhurst Rd.', 'London', NULL, 'OX15 4NB', 'UK', '(171) 555-1717', '(171) 555-5646'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SIMOB', 'Simons bistro', 'Jytte Petersen', 'Owner', 'Vinb�ltet 34', 'Kobenhavn', NULL, '1734', 'Denmark', '31 12 34 56', '31 13 35 57'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SPECD', 'Sp�cialit�s du monde', 'Dominique Perrier', 'Marketing Manager', '25, rue Lauriston', 'Paris', NULL, '75016', 'France', '(1) 47.55.60.10', '(1) 47.55.60.20'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SPLIR', 'Split Rail Beer & Ale', 'Art Braunschweiger', 'Sales Manager', 'P.O. Box 555', 'Lander', 'WY', '82520', 'USA', '(307) 555-4680', '(307) 555-6525'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('SUPRD', 'Supr�mes d�lices', 'Pascale Cartrain', 'Accounting Manager', 'Boulevard Tirou, 255', 'Charleroi', NULL, 'B-6000', 'Belgium', '(071) 23 67 22 20', '(071) 23 67 22 21'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('THEBI', 'The Big Cheese', 'Liz Nixon', 'Marketing Manager', '89 Jefferson Way Suite 2', 'Portland', 'OR', '97201', 'USA', '(503) 555-3612', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('THECR', 'The Cracker Box', 'Liu Wong', 'Marketing Assistant', '55 Grizzly Peak Rd.', 'Butte', 'MT', '59801', 'USA', '(406) 555-5834', '(406) 555-8083'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('TOMSP', 'Toms Spezialit�ten', 'Karin Josephs', 'Marketing Manager', 'Luisenstr. 48', 'M�nster', NULL, '44087', 'Germany', '0251-031259', '0251-035695'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('TORTU', 'Tortuga Restaurante', 'Miguel Angel Paolino', 'Owner', 'Avda. Azteca 123', 'M�xico D.F.', NULL, '05033', 'Mexico', '(5) 555-2933', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('TRADH', 'Tradi��o Hipermercados', 'Anabela Domingues', 'Sales Representative', 'Av. In�s de Castro, 414', 'Sao Paulo', 'SP', '05634-030', 'Brazil', '(11) 555-2167', '(11) 555-2168'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('TRAIH', 'Trail''s Head Gourmet Provisioners', 'Helvetius Nagy', 'Sales Associate', '722 DaVinci Blvd.', 'Kirkland', 'WA', '98034', 'USA', '(206) 555-8257', '(206) 555-2174'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('VAFFE', 'Vaffeljernet', 'Palle Ibsen', 'Sales Manager', 'Smagsloget 45', '�rhus', NULL, '8200', 'Denmark', '86 21 32 43', '86 22 33 44'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('Val2 ', 'IT', 'Val2', 'IT', NULL, NULL, NULL, NULL, NULL, NULL, NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('VALON', 'IT', 'Valon Hoti', 'IT', NULL, NULL, NULL, NULL, NULL, NULL, NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('VICTE', 'Victuailles en stock', 'Mary Saveley', 'Sales Agent', '2, rue du Commerce', 'Lyon', NULL, '69004', 'France', '78.32.54.86', '78.32.54.87'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('VINET', 'Vins et alcools Chevalier', 'Paul Henriot', 'Accounting Manager', '59 rue de l''Abbaye', 'Reims', NULL, '51100', 'France', '26.47.15.10', '26.47.15.11'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('WANDK', 'Die Wandernde Kuh', 'Rita M�ller', 'Sales Representative', 'Adenauerallee 900', 'Stuttgart', NULL, '70563', 'Germany', '0711-020361', '0711-035428'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('WARTH', 'Wartian Herkku', 'Pirkko Koskitalo', 'Accounting Manager', 'Torikatu 38', 'Oulu', NULL, '90110', 'Finland', '981-443655', '981-443655'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('WELLI', 'Wellington Importadora', 'Paula Parente', 'Sales Manager', 'Rua do Mercado, 12', 'Resende', 'SP', '08737-363', 'Brazil', '(14) 555-8122', NULL); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('WHITC', 'White Clover Markets', 'Karl Jablonski', 'Owner', '305 - 14th Ave. S. Suite 3B', 'Seattle', 'WA', '98128', 'USA', '(206) 555-4112', '(206) 555-4115'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('WILMK', 'Wilman Kala', 'Matti Karttunen', 'Owner/Marketing Assistant', 'Keskuskatu 45', 'Helsinki', NULL, '21240', 'Finland', '90-224 8858', '90-224 8858'); -INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) -VALUES('WOLZA', 'Wolski Zajazd', 'Zbyszek Piestrzeniewicz', 'Owner', 'ul. Filtrowa 68', 'Warszawa', NULL, '01-012', 'Poland', '(26) 642-7012', '(26) 642-7012'); -SELECT * FROM [Customers]; --- Employee -DROP TABLE IF EXISTS [Employees]; --- -CREATE TABLE [Employees] -( [EmployeeID] INTEGER PRIMARY KEY AUTOINCREMENT, - [LastName] TEXT, - [FirstName] TEXT, - [Title] TEXT, - [TitleOfCourtesy] TEXT, - [BirthDate] DATE, - [HireDate] DATE, - [Address] TEXT, - [City] TEXT, - [Region] TEXT, - [PostalCode] TEXT, - [Country] TEXT, - [HomePhone] TEXT, - [Extension] TEXT, - [Photo] BLOB, - [Notes] TEXT, - [ReportsTo] INTEGER, - [PhotoPath] TEXT, - FOREIGN KEY ([EmployeeID]) REFERENCES [Employees] ([EmployeeID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); --- -INSERT INTO Employees VALUES(null,'Davolio','Nancy','Sales Representative','Ms.','1948-12-08','1992-05-01','507 - 20th Ave. E.Apt. 2A','Seattle','WA','98122','USA','(206) 555-9857','5467',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B79000100040000004E0000FFEE002641646F62650064C0000000010300150403060A0D00000DC7000014F800001FC700003018FFDB008400030202020202030202030403020304050303030305050404050404050705060606060507070808090808070B0B0C0C0B0B0C0C0C0C0C0E0E0E0E0E0E0E0E0E0E010303030505050A07070A0F0C0A0C0F120E0E0E0E12110E0E0E0E0E11110E0E0E0E0E0E110E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0EFFC200110800AA00A003011100021101031101FFC400E60000020203010100000000000000000000050604070203080100010002030101000000000000000000000001030204050006100001040202000503040203010000000001000203041105101220213113063022143234350723154041163311000103010505040703090803000000000100020311213141120410516122132071320581A1B14272231491C152D16282B2334373247430E1F192A2531506B334751200010305000301000000000000000000110040012030506021104161121301000202010304020301010100000000010011213141105161718191A120B1F0C1D1E1F130FFDA000C03010002110311000001AD5B446C1B5EC6C4AEECC7412721D247155CD9D4E3D06495374259AD2C0FAF8AB5A19FEF767D1FBBBC122002E2AE0C0C9E013598523A3BB6890E9898B2D956D39A6CCD8B204631D4C4DD8C3076AAF9DD8F1C048F1AEAEABD1CCB6F032BE6553811E355AD9B45D1C61BC71C5BA549605B5F4C3B7C2489B5883D91C7BB3EE3A10A30BDF1EFBB8F2A4790F69A7A360D6D17F9A083531A331516AAC195558A0AF6296B3036B6216AE6784EFE59384173AD79DD2E267ACB7D4D0B673775B8ADBEC5022F46F92E3062ED1BF5A2ECD1DAB841AC5567A1755F4B360BA1B8AC92A204D8F7BA6C251271B3F3356DDA1B4D7C967B1448BD121AAF3885AB6E9F55AA82F66A25ECE3D52C9754967572A415ED4B4197C984E24E381167646C595535493505E6B9239C66ADE615423409B92BB0673FEAF9E1D283E646A8ADBF39A9C8D08B01236BCE31A51F78DD187E8F5CA0F317B6394BC8B6D620F1632D1A1A436F65AF40862AE78BB9E5EBD86E44A1EBE1454585D85C70A5AEBD66887754BEF03D416334BD1CAB51B0D946E11A7A0DB628147D4C2666494A0B670D6965FBDD6064EA14DDF32092F009B96051F484132AEAF61DD397E81F591697D222D562A907AD73CE0DD732FC276CA1016EE01D0CE8135B354B2E1A588091603A6DE9EB1D098FEB148D29B09BD06D896730DD9A71E0C47A9AC2497FB19998E95D18B09D05555CF9E832CDF419ED674643C2A6E0894AFCC7F4E72BB96668341F61496D4ECFFA417157B7354C2DA72231175AD45E1CCD3A89D7EAB25ECA872560243AADD831B176E26890AFA0ADA103E97B0735DCD6D00AE1B449D13CFA6869B9610A0AECA9C8BA994FD1594B54E0F44470D2A743A3AD65665B30057136D8F1D03F1B4DDD58BD9A7529BCDC66CACA825571FA78547DDA35CDECADBDD8F18E3821863DD16ADE031B563E3E92E34B7C6C3AAB41A201B5F47D04797CB728FB28E655C93A587A5889A4FA3B5F70394311DE82355684F33D22CDC8DF295EE1D8B5C41687556ABB99298AD7095144D07A38C74A65774A27D895024A157BC761198ECCF1BCAF40ED8FE9969D53E902A18E04133189D1E49DAF3D16697F767EC1D9F76FE3542B427C94DCCA93FA1B0F6DEE99534AE0F39ECD7C9D07B2E052126609E7FDAC4AAAF66EDEEE9A53ECB8F26B2B558DAD4C0B7F776EE8B73A8922B960C055BE82F33EDA6F0565D9964158C512E67F3AEE79CF0F5C716746A9BF11A3B8918F01393F0ECB832C858C569919A389F4B617A5B6E3052468C084E0315CD3BFE547B90DA25D6507603B4913B87A7B866696CE36DF38E1EAE8D7A823DEF1BB32B6EFFA76971570041D4D6C79EAEF47272EEEA983DD22733117C079ED9C396650E9F9BC0AA0326BAF251ADE27EE17066ECF4467E82EC2D2D467CDDE8FC6C0640883D4B072DF738746D8EE8328D11C7FFFDA00080101000105028E6056C6D0899EA59192A5F70B7D1764DB2E62876B23541BD6B5336CC9CBDD14C8D6424666F572D05C83D770BBAEE177C2BD297BC150C9D4B9FF006D883B18A08E5475F2F531B9A610A9FE3955E18B0E855885E9B85B2ADF8F265765DCA2F28A99FDA44C3850CB92D6031CB41C0EB685872B1F1995CBFF003D66311D3B2C31D791AA42F0C2F93B7E4F74D7C5723B501AD2E5650529EACE694485A50502E5AFD6B310D36E3F020727EA61729754C8D5ED6C6F1B2A93D791B31327E4BEB5AD9B05CAA780ACBBFC7C431F673A75A6AE0CD56A795566142321A1632A58B2ACD5EC36F4FEEDBC0EA96ACCC255AC983A2BB0FB13A0AD7E84D1D8B9DD180AD23B0A8CA1F1D66A87180827AB324310DCED20B136F1B6C83E4B5927597690092310A112B23ECEA49806138F9AD2B4FE3EBE46C423F90C4651F26FC66D7F98D79CD0D9C5705FB0F861B95EE6CE561D1EAE2B37F4FBA5BBA126B7630C9D5416239A29ABFB3261581F61CA8CE139307675184454E56D99E5D5D3A158497F5F1B1F6A84926B67AD0B9CE1232D559649779A3A376968BE0B0D7B3FD9BA50D801C2A73163866C45EDA91B96B9B85A3D3D2B35773AF66BED43FAE9C7DAB3AABFDB769FE4976CD1D17B742AFC462A4E144C0CD5CBEEC7EDA15D8E4C898C5F2AA42FE88A6B8B4EBA6EEA6886651F64C307E332326D6EEF491DBA95F592B6C541D454014746295368B5AAC33ED931D350EFB9C0E1A78B403A2B51F4B0B4D26242E53FE9B1FAF5979FAEB96238EC51B551B118662A84F914E66F50E0E12F50DAB718E9A2DBC14ECBEFFBB055FC99211229A5F2FEC56D076BFCCAD737169D2A954E3FC9D32FF8D58FCCA9B1D6BE0774C2A52969A363ED8E6F2924F292A412BA2D5557286AC5137B00A477592E122BFCFAEC334F528FBD522A2DAF1CB1909DE6A66E4FB7FE7F81D3D5DAB7BF6B28BCED69DABD0355698C6EAD297A9A711B7FDE0749037E4361DFE93773ADA3DB524D6D2B0CA7F2FD9CDAAD37E3DAB126B58F8E1727B41E1C13D803FF00AFE66CF77FB42A472C5A6D339DABA52870660AD74A03B67ABABB0ADFF973AC9F5FEFB4BFDC7B21A71C73BBC99F36BC0CED2B28A3CCCDF273A6AF2CDF35FCEAFB1D9D3756D6CE5D56AD90E503D4764B98E83DF0ED37631EB26C54A22017246430ECEF3F617E37A1C611585853D1EE9FAEB2147ACB2F3A38036BC8D92B3A9EC5AABDC6154EC34A8DCD2B2117B57F64FC8FF12A50B9EF91E49AF40F115F8244305616161755AA7749E5ADEE46FAD82D7D88541B69A355BE427AFF00B8B520D86D6CD1A1B0BF63656E094C32FE457C212610938AF72580D7B71D868281E2ABBACF0C5EE4766B98DE034AF60155AA80A28C307CE3E43FEC6CA8D8E91FA1F8B6BF59461A34223B6F83D6B2361A0DCEA8711C8E8DD56D899A1CA36BE4572F3693F4F209EADDA45EDF61CD2C6E143E4BE5BF23FC1AC4E78F817C77F2E78E2739E22FF0C96AAD7309BD5DBCEB74FB1B32C5AD8E05B8DA7539CAF82DCFC8A32E3A4CCFBBD16C3631D3AD7EE497AD2F8DE8A5DF6C6A3E8D28E6919F812DCD5C17BAEEEAC738D66B61C656B3E37B1D90D6FC4A9EB9D61966087E4361BAD878FEB89CFBD3BB0AD9C12FC9F95ED3DE99004AF8DEAA2D4526CAF1142DBA9FBC9F595B670D2F8CBFE4F6BE32C669BF90D5FEDF69FC5BFF0097F9B7F21C7F5CFEFAD7ADD455EFDEAD7FEF9FE9BEFE075DFF00C361FB9F917ED3FB2BF98FFFDA000801020001050247C7D57558E0F11CD9FA79E3B705159E30BD144FCF84F8BB27397BCBDE5D96503C10BD0B5D9FA04F0E77002EABA22DE03910B19113B0793C958521E421C1088E23394D18527AB0E478E4E472515D7CD98CA94281DE1287127AAEA80594D72714382D2987C9C882D2C77608F07977AACAC22B3C05944A8FCB891AA13829DC4B21098ECA28FA80810BB270584CF07FDF0461C8F130F363F08C9E45041613B862C72537878E0F0F6E42CF20ACA3CE505944AA8E24F251E1EBB780159E005859E1DE94DBE44F9B472E59560A89BE45A79CF2015D1C9CCC2EA9ADCA098DC7808455A67DB51C019AC624E071D90E1DC443C6F6A1828D4C18E13977AF19585D1752833868FA1D78C29C79AC700A1C65307D4B238CF3959E00F1E7C330FB7C50B393C765DBC6EF3E08F044CCFD79061C8F0D098DC0FAD3FA9478819FF0274539043D3E87FFDA000801030001050243C60AEEB2BC90E26871E36F8B1C80835639963C1E31C0F17551C68D65F8EBDB2BA27059595FA839B8F037C4D8D6308B97B857BA83D1F34E620B38330C8E5BE1842011451E1A535CBD54C305C533CC11CB3C30A08A77213576C0973851953859594DE07308E3B04508C14F8F0A36A2380E69520C10861C246F529BC0E583C8E49EA070139A501820F916E50680A5F3E1854EDC84DE2080384D1F5299E8E458F2BDB4C202ECA50B2B2B2B1CFA82820A9BBED9E2EC84472DF4722EC2EE9882990E5A9C3869E1A9AA27F529C103C3DAB082737C9CDCA11F9BB19C2014EDC70E3E49A99C4527DA3CF809C1108041C53A528BD61043D6C3B271E4E767809ABFEE341DE65E091C382017B6117C217E4C41326EC647FDCE761176548FCF8014144EF395A48862FB471204C7E1318D4F604005DBC94E7C71BF864E9F38EAD3F6828AEABB617E423304F932827BB27C6245D82EE155765A46107AC2735158584FF20F6F84B7C545DE6516F1D975057408E0271CA2163C25A88F0553F7F1858E0A9DFC80B08C68B08E4845BC6146DC129AEE4A99FD47007D0C657B7CC672C0870E38523FB143C785D51479ADE8D4DE2CC9C8FA051F0554C4C453BD7E87FFDA0008010202063F02D306246C7F19CD888F4D47A5F9666119D10E95177FFFDA0008010302063F02D30E24B114071DD2CD52A6AEF8E4202D946D0B5C47101A45632D34061377FFDA0008010101063F0246978BBBCAAAB10CC3C366DB0056B5B4F4ABC7D8572B9B6EE3F950A8AF1FF059DAC3FA36ACB73FF0BAC3EB46565ACC7876E980D962AD2ABA8D14ADB95115A382CECE60ADB15EB9A667A68AC687772A64E9F1CC86719D9F9D7FA0AA789B750ACCDFD93AEE1C3B476D02A6FC37A25A8370758AEA9558DA6ABE6E9DB5FC79566310A70A9546D7E090AE4043B06EFEEDEB31B1D70237EE28B1FDC42319C2E3C3B04F0EC6772C9A7157BACCC9AD75BEF3BBD3452810AB79C7AC2F0AB9728B1104647EFC11176FDC8B1D63EE3DF826BC9B1DE2084F1F8D96D9BB1EC1EC18D8793DA80E1ED599056F608C16478E0D424DFF00726BB1C7BD74CDA0FB53983C3876681646DF8EC2EC6C43B45D2B835B89280D2564A580B712516EAA234F131F4C7674CDCEB5A78A6CCDBC5FE9EC50273B1036B5FBFEEB155E68D68ADAB2476B3F1159BA25C382A3A32C5F2D6760ABB72CDAF97A3A41EEE25558DAD2F908FBDC9DA489C0BF729348FB9B6B3E1372E22D08175AC772BBBD64C2F0786D205C51EEA6C01318300844DB22C5074F4B3172B226E4A5EFCADF6DAB9A068A62CA11F68404228D2AB8204D4D5D4B17460D1BDDAAAD7AAF35FBD7D5EA6C23C2C06E2A0F358C787E4CBE9BB665F75D871543FB465BE8DA53B55AF73830BB2303385EB242FCF03866638A1DEA3EE5589B57E0AD7E46836006E084434E19ABAF3EAA47F52422EC458BACD928DA5246FE2DCAAC35A628C6FD96D572AD6E9E9698CB9BF132D1B2A9B26EB0AAB6E28A2A4D37EF2293353F35E1366690C9582B529A1F75531A9ADC1078E53C17312EEF54C111B915995BB1CDDE08F5295BB9C47AF674CDC551537908A6CEDF0F8646EF69BD69F2782402AB9703626D5350D86AA6EA5841C772018EF964EE2BE4F88DCABA8CB9B0CBB74FAA0C6C7A8EA74B4D9685EE88379F391B8AAACD80AF632A6F96919E78F943314229395F96AE63BC5C2ED810DB9F2D1FBC2E7602A8D140A815463610A438E52054D2FB2F5A4D147A8EB49A48FA3334781AF1B9D8AA8F13CAA5EFC4ED042A7E2BBD2A77EA39B5C1DD36549A3585879A9F105E4FD49C03D373E47935CE3A9757827C7A77545F5172AAB6ED99E4395BBCAE9E8D86571B0598F05F2A37B6DA5B460F5A3D79A36FA49F62FA5D36AFADE695148A16BB25379770519D649D49FC64A967D300752F2228C3866F1703C11258E2F71A9277AC8F6E5A5DD98DFC69F62D6F9799323E50268DB767319B47D86B45A497494C9A7CED8D83185D4B7D0E5FF2CDFDB89FA61B5B3A407312A86FD8DAF723A694723B7589B2C5A99A91D7A07378495C9ABD4135CF46CBEF1BEF0A923A479367CF9896FF0095B44D8A16D5F5CD2BD7A141A21EE0EABBD360EDD772EAC4E2C70F0B9A6853619F4ED133A2E8CEFBF316DCF6D6D69DE8E9B43D402CB64770B6C1628A61BAD40A14437AA2AD083C106D5D4575A9D23CD18D152780536ACFBEEE5F845DFD856334E0AC15EE5CDCA38AFA7AD72AA8B900EBD5F6762F4DF2CD2BBF999ED7D308C7E55D297C781ECD0D878AB3B397076CB172DA3662B92327D4A5D6EA888E2636B4AD49380526B354ECD2BCE380DC9B20C0A0738B6D0AA2EEC586ADDCACF16EEC30F1D9C0ECB9556E0BFE3B4C7F9480F39FC4FF00EED818C157B8E5006F29926BA164FAF88897541B19D4BB9BC3137DCAEF46276823E848D3CCE8A18E3657F7761CCE2BAFE587E925F7B4F2D48EF6815202CFAAD3BBA35A7559CCCF56DCCD342ADF1ECE509AD6F3497D97261188550ADDBF49A577F3125951805537EC3E6BAA60E845FF00AE1E0B81907BD945E1BED50C80BE48DCD2DE9006E37BA91D1A2B8927B93DBD32C8A0358A6FA5696378451DAE278951EAF50F668C4D4649F570FF00372EE1C87977A7C6236E9A06D040E8DDF57338624B5D6F61AE8E32C67FB8FB022C76493502D399D6346F29FA385ADCB4B6461D91B4DECE43E8D8763A426E09FA87E37776C6691BCB05F349B9BF9541A2F2F97369F265859A78FA9636F7BCFE10A4D46A22F309B471BACA9A3B54EAEE6DAD6D70B0289DAA9A6D3F9DEA474E0D3C8EB34F8DAD0683D29D0F976A62F35F362FCD23B557405F6FBA2EA7723E69AA6410EBCB840FD467363A95219CA6FEE545D46372422F7B9669586792999D23E81AC59DBA563DE7974D1177FA8AFA39B461BA99AD9661BF86D9A1C051C3D282AECFA18CF2B7F69DFBB6505E99A12DEB6AA46F535718765A666E639BB8594E2A41E61AF8B46C83E6EAD9A5BE2845AC8B35B85FBD4BE7ACF306EAA321ADD2690BA38E2A5F79CF427D6993FF00D934AD779BEAF9216E9F357A723A980A0A0E354D8349A2D54CFD6BB36B678FAA4863AC19492456DC568B47E67A6E93F9B2C324858D89ADB8BDB0E6B5D828D316B7E3FBD796FF000FB13FC23DA86C729FE377B7669FF8ACFD60BCE3FAE83DB12D57FF004DFF00AA57FD6FFAB77FE25A4FE33545FD445FACBF407B4AFFDA0008010103013F21C63B9C60FF00A12965B72CD56D84D50146B88414CB1BBF797FEC66AEBBFF00999AA5BCE0FD8C194B97F91968C4D655F6866439B747D98FB94B147D7B4FDD9DFF00899609D2444A0E6CDD8E2511475EECD35DC0E6D836DA6E4D3CEA66B12CD67BCF8D03612845F54A1E1E60A5CA2A986FDCA8D2B27807D42D375E413EA7CE26500166F2EC3E97CC5A8BCEF95DD19BC7B9D03A25C78B43D26A5A87407ABB9541938A66D2DF6CE3B5F12F41B2AF1DF3106D91766FE238CCF0DC0A51B95671DF995CA26ED7C0B2E42E5467D2E673999FD98847F4A07030891BCEDDF897DF5EEB831AF4650FB328B6C61330D46F3D897E4673937DA1C7B194FA431332D71DA62569B7DC8EE8F62602B5FCF12F1016F18F79D9200E5DE5E443A6DBDEA62D57CF4DBCC1A0D5E53FD94F88F91E2F68A0CCE2D5DCAFA8EE732BAF5E7506B01DBDD19D940AF672837CB32F93368CA1E52BCCA88235308DA835B83767A5D678845D0ABE2DE20218A6117832F0E7C89DD86FD30B859F2C7714F72D436D8C45100D77C9EA4B4F6F6EECCC77BFA97611D12AC6541287668866E491743640A8EC2A1C31A0219AE3F009FDC3AF2510F946BD4F04BA3025B306E05FAF6E908CE31CBEE8A45112B13C04341EB0911B87B331B67819F31259C6AF0C449E2834CEE55925A3D1FF00924BB99E868ECC15692CEF9946D37FFCE5598E9EC8FEE33ACFB92D331994F6CC7C26CA989E151B4F38A1F3368161F318A7B2EFDFDA255DC5BBAF596A2E8AD71C6E94329149EC747BCD8346734BB9451706BD8005D1DEB5898EE81A6AA7C2111C05F1E05AC4C8ADDC76C9BEF896639B5E07E860AA5E1BDDEFFDE8B8BD547C910F9EFAF02D897E85EF29E1F49F4DFB9E49587381E056E3B4282B8F157311B0E0956AC6237C40A5549301D2ADC9DF73701B5CAAE588C863BCC0C7BC42DDFB5D105C29EFB6676AEEEC5DF2434E6100C325BC1F0E20D9564A350AFF001FB9E8A3FA8F54BFDEE67C9381D0008F12A57BC4173C7D128F00B89FAA79466E22D00C389E826A178B63ED349C40F54B2A2FB23078545A14C738D2954D475D432A234F68FB80A3B9999E6F48C611F3950985BBC946CA4AB65A2E502FC74858CDE16183B1BE11A689C9997BD5456C10E58FAB94950E9631F71AA9993E8AFA41E0CD6B3B96BC35792EA568E0DC501CC9922BAC4C9F20FF0050683BD4E383E75AC277C45C6DB18E594454E364CA9F1F1056584E0C2597C47E426F03EF52A0E472747210583E9285B0CF33882AA68146CD2F86E591983BA51392F7981343E195664F9E3561F1304A619E614AB90C09CA5202C9561C037A94A3B18CA00AB0707AC1FDEF43BA7999E90F7BB2843B5C718A5B8CA9489FB0488F0DCBEEC3C6314C5655197F0276FB8E79D9AF94764A0AC52E6BDA0A01B26F6720D060EA004AEE60FE1E1DA4AF44BE892367F6267E33D6A4B4CB4F46D8F22E66D8207385120174253190B7ACEA1CFF00C1DE04C4C6BABB5C7B5DF763DC81C875691BC61F882C3F7439D847DDC0FDA6502B912C368F81029CD15A966383FA44CF283E7FA901E85D291898B95C00EABA61F1598C4784A11524FBA22CA20D8585B017BBC8CDBFD41E90A4778945D6310597B18530FA91DBE48308F77FD607B06DE6FCCB950F6C17341694ED807C4E262B8E6368279CAA54B19C76B5ED11D3EEA6013BF97D11B2CAE7CCC87E7897975CA09A3A1EB16DFF00C999257B842E9317AB7ACFFB988A946365C90709C4C1662396480ED09E212487A07B72BDC9705712F74478981B7658C16346E1C8E4D7D627DD73B4C3175F621C658806E97D80F04EF1D3E9CCCDCC3912EA5882DAD2465980CB9941C8A5C1D728083049D9F0CABFE712D09C93192DD1699414F040AE9CF6949C7068FF00A8B89308DB29404BEF728F99D29A734EE4D82051A94B2177DBBC66C0BCE94A66338DCE18602E5D674F7AEA3A9138706CE8A55606DD1F31F62E16C01CC7DF427A2152885F38FF00B31A29E9B27B427C0DF98311296B2AED605CB670AB429753F51A10894852B6F6446528C409BADA3E5B48039345B86686C216AEC07C2886C9AC726CF617E7A82E0DC6D172861F79DAC999DA04AA5B162DAF6F12CB2DFAC47F7BCF38521857688B7A772B757AAF88E8DDF1EDC3A3F89BDA9650F2E212FB2C8E7DC0262F95DD4B428A384415D381A07306675EA497C7CDD619EDB9C6040A84018C2C0B4E3B47C5C54342B165C31982C05BE26747507F44AF1F8A17BF301B91B6BDA9230002858B34B9EB62B905F06621E676212F55D45D8DBA7C3A1802D6025F79CCBA967145256DB471D00650DF54E16AEC876C6322E1BC2F447B4676CD9C8B7EFA55F8F6C75D99372B2ADD93D654402A9416F4781796FA4FB3FDCFB38FBFFEA7EF7F04BE9CD7F9E27F64FE4BBBF121BF27F0BDF3F80EFD766BFFDA0008010203013F218BF2A8CAE2A372D29330B065F4B97D18F47A10B2907A5319CF4394A74EE5F4BFC8C5849C1132DC4F78F494740BB8947F07F11E8AAF46BD40D40983A7CCBF32A8740E58752BAF12A54D6812729D5E8E205F530E91875328AB0E97973774547F19C541CA22FAB294B04DCB2074C9D87E211688AE0A25D63D2045B2E0CC70C4562B46584C2F79CF40C5312ACD3A5740934C474E95789A85409A10958E8474F3D05F84C6D1C170AF4B368C1D484E99C86A38F40AA8F40F5949CC30CBA4B30E858574197A1E9BC4C1B94612A0F45E9B2158C2E67D28E252A2E1299712693022526D3844017D48B96F43DEA9DC43BE0E2C144BD6FE361644A731F9F430BB0A9B3A2CC408F74B70BF329E7F7053D393FF00834333284D29053224A8437838428899941F81F8314F45123719BE929718B1B8371FC2FF002C372E1164A9625E0DB894425CC4BEA45FE172972E5CB8BD282DD54B6105BADC1E9715125535D0BEB7FAAF4A952BF025C61D01EAB1983E8B195F9D4D1D461D5E65397ABFFC7923D09BF55B4D5FFC7FFFDA0008010303013F21866A5C3F0A61356040A984A8AEC952A54A95087A54BFC150214094E853345A952BA2A6D03F00E945E85CD43B5052896E86A8623AFC36FC0212F801D3A20A59042C59E86984AE8C3D425CB2007E1AFAB21D096CD4953D1EA3F19F431E90F13DE4BE89195B2BA1197F04F4C30A08DD08CD43120560EB8949BC4DEA6163A8BC063AFE028F4AA4509521BDCF5471D00615DAC56E0A5F4CF337DA1D7748C190DC38C55A88DACAF78FE217654D93297229858A8C1CC198AEB5C8846F980CA0AE82C2DE8DA0C446A3D36943D2B18BD45B61926798A215D069D3815285328CA57847A5219DF4A3A1742437375B8837398FABBC1740CF4664D50B04ACAE4A8A3CCAD258B1B206EAA6530E8AEB3DED4232CE691F81F30EE12B5CB16CAB447F0F34608A5A5BE63BDFE92584751793EE52C87C7FD80715EC7FB1CCC26BFC15D78A2A3641AA49809B845E431CE17429D32F4F3F07A5CBEB7389E93D0B47880C7A22CB414D1946BA5F553F2C8837D0A49E519AA94AE2A98A5A27E06C53F0A64B2AFA95514E1FBF509484EBF04B255D04C4B7B4560C1FC03E47F3B1F834401B810EBB788421712DE83A5FE226149A7E078A0E9E25B87515D2FA5F4271349B4771E9A469D4DF18757A109FFFDA000C03010002110311000010498D3166E2D5968B2EE595D3269EFEAC56267A86A4EBAE841541499143A2FA471539C67CF05FF8677A3644FA424CA16A889A4EB3AEE39A122E38709C212AF46DDB76C4AA87F468B46AB07595C97130DFD1ECC92D81C7552E0DE2BC52FEDDC0B2DAE3CEBDA1FB4D83F452831461BF225BDCDB38F3C3745C435E0E56A0F584BA2F66093ABD730C9AD11DE92EC1C4204909F35504C5C83CC3474AF5592E5EAECF13C53BFB27BEFFDA0008010103013F10A01A6D63598A747619B2A15E3707C5A59ACB0207DD46E34695B05EA871C312F267509517E219A611A0B50FF0A0A6F57B0798902A4B0CD2D570210814C01A7D4C09059A155670D1BEE4484637092F0EC12CE6336C593EC51F065E1BB641B1E51CDBBC22EC0A59CE799B77338B12B14AED2E7668B5ABAB612A35CB0A109C2E50775D99A1990B19018E6E98ED991B6EC00D0E72415050D500F40CD608B87C05ABFA960E0D615930C735F465D7B79987859D6270A8C70CCFE63340FB0CFA44A05801A864B29B235265B2081D9537E2EE18F6A8E19597828BE732C710B3632F94EFCC734C789C929423CC6B7BEE554DF6460B06914118280D1B3B1AD579609AB5323505D34F111AB19652961371B047B1A2894F262A219C2F98D78577F333A4BBC4F471307F4B205A620BEE3ED0C341838E0C4B39BA6300E88ED2AADA73EEFB413165B5477881BB06EE5C0DA21A3EBB3CD73DBC8D94A094A614DEB8616F62D39B47ACB51BC06DA883C5CED9A8D6BBBCC45CB5D128AB78030E45CE2BCAD55C1A2A2F0ACB576CF598675D32B2D9D856E057149CAC68D191B65CF06553A817AFFC800FB10DC39CBE6B7F3846B4C43D0F0E7B454805E39E083BCB5DCE4B5A3B575627AC455EC5AC8A942F31AA2FA94286BC587C39825B128A4656AED59AE333FEF0EE20425FDCBD2CC12E63C84B780EEF78DA8058589F0B5757ED3588C58063F7F504D466050958CDF79586C97A20371906B2C7BA412231358442B6391C951368140820BACF6890975168AB7B1851E613A97BC97961DA40FADB51AC0A1EC9FA98211B74D32E2AA676A9BA566B83D1C74B74833F2D7A8905499D8422634771B0367F51C58E5E2690142EF8BD80A989148A6549933DA35CE84F653292C358B33AC4C0BA95865897B2A073D68C0ABCAF88548C62220099AEF2FC9802406EBBBBB4B58C6EF7533901628B0C7A04F521ACA99C50F86777361151161EA1F771491A6895EA593B536B51E0DC4576BC47922D0C2DC66A11281860032EFD628A46D6A036F17369BC195CAB699DC2091612B4AB00370E156A06CA38EF07711AB3A2D81ED2AA11E266AA8BDC106B2C64D6712FC4130DAE2A96D1634F6653BCF825A0F387E650A9CA39C368FD9507FA35A1D2571829E670EF0759FEE4AE1C46405D85E90B6B88C2CBB0594F6D9B83177F5197A8C06135F55425F613CA5FDC226C056CBDA0D8311234AD05BA29B31B9E65B204D0146EA555C48E1716429EE84A90D52B080B77F32AF3B29C8D6A64DCEBC8AA200E1CF9CC7AD650660D1AD8A706C221AA047A942B5BB35021572B2EB6EC1F744B4856A317AC843B225915D20D2CBF03BD30E392C8A33765FA546C1A429B9571FE1652A179A205ACA467235734963C6BF48768CD5EE2975F71ABB501A06F358CC3CCA7883B0381BDC6DAFB72186007456A8E655147D960080504B400607362E498C18BE22AB6227679A7D2385B98B7D45A7ACD1E4F044E5A14AB4F55CC781ED25427922A80A4C2315914FEA39F4456C237BDC229940A0F3E903A34C2FD9FDC70A5D0E7C08D6995B3008318DEF128B1AB818B6B9CEE6956D641E71788B5602FEC07EA3ABDDC1ED77F7090CAB564500D2C0ED8C96A0A6EB1C4A96B2D5AA306E6BA2AD9E28C625F82D3E27A23C9A3FD3CCA2041644E653838869F956112334A30AA806196B114ECB1DF19FDCB20D9DA0C8DB35D90BFA8D3E693C14AAF896FEEB7DD980E4327999C7DDF1102DF309384C6CE02EBC5D4CC408D5AF494864959BCD8DFCF9943590CC475CB5062372880143968BC414D949805001EE172CC69D46940FB90380110AB662DBABEE276490235D2DB97BC0A5CC60570507616C06FA2812C368AC576950B813428D17AB816B95ABA0A6BEE508BCC234B1639F0CA97823D8FF12E62869EC0D5C4AF1088B92534A7B54A8A293892E8899E19745ECC8EC4E21A584A112674CFA42982BC60B1F2EB2CD10474C7C8CAC29730795BC9E2CCCF1E128C9F30C0AEB0BD71CC5D5CC521898670F0B63FB86B26E9750C15B19E224E0B64BB41836EF0198857880A7415ED1A5611AAAC6C0ED11A9171B3EF2FE8C5487228678970746015B8E3DE5B40FD8BCE0A8B01EB1F1FDEED5C47A382186EA786F504A01B52207425FB8CAF8AB530F7C7AD4AB0AB88CDB8D7B431D79BF90FF516129749302CFCE1A2D91CEE8DEEA52327B1DBCD5C42584EC1089E8DB6657454A5744230353B1ADE6242E53D958AC01661CC7F2996C96EB02FC449EFE70162565618CE894D4BB211E10C45E808F916BD20B7BF23D30D225A0E6300352A8920B6E7163512FC09756126606B94D313E11D9DA2C1DE5D7D551390C7F32B1E9772AC8B0F5192A96A1737F5D05870774662448008B14B790335ED041F255ECAB056DE4E2527F5086EC011704565D017B105D5006CBC1F62FBC10AA86188C9E664CA1B8846FDA51E7017E865B7CBEDE64C092C0F99C8E05808336ACCA703570C008AAE1A6B091F3A5C614D79ED0718E439CBAACE480B29520E16EA6B4DB129C62C8A436B60716D7DF68B06E35E78CD0BEEC0E64A136E33C893D4092D77282E9C6D20DFA894A2CAD98DBD012DC9086187FF0052F3163CA0B816386F922A8398F2EEB8986CD9A5F6399840B6F6F6825ECC11561B7EE584A94376B1C8E35DE5E5A612D2A0A6EF4C319DA41CB6847631C9B72E7C4CC02E35F337507AC70C033B388222702BB6C6AEBEA0C1E2944D05B10C091D5D88C772195156B703B11A0D3BDC0FDFA427D4CFE2061AE90095C40181683BE0A9BE0362FC9C59298ED0015A6BF988D0BCCB3BE6A3BD12ACD9AE1FEE040EB05736A5DC6C8531751ECCB135DCABB60AB5014AC5417614071781C047E6920EF7A18EE469BEC0561792EE562E62C447B24A42D4170C11A605EE8166BCC084033B48F882E6231FB9C68173B0F7C43C3D861C080773129758B4BBCE66A26222FA016FD44A9257732735555712A1C338572BFDCBC46EADD15F9B28F3110158A9678CE55688ACFE7C0454B1C1C9C9662F4E21F6179F4BB14096022872290E4C1E51E08C3ED24DCB780A6562E38F58D19464F0DE61A16AF7D0CA7883796FB4BC205A610EEB1140979832D936D4BC367DC2994AD545F62E95B7F48B1466B257D665E2CF0C36358C3CEC82FF00242D602DF038F31FB35595195576ACB118CB8A08231B360A7924BB7A3A0567CB348B556179728E825ADEED65C4159AC9F70C8E14952968B22C232A148CB4A08EB6C6397115015600CAB1413588CEF8DBD8960804FB9D0B358B2091CC95CCA60F08DA32D64BFB8C145572C037E92B00B31EB1F52C7018A99DCCE0F2B800AA65A8E9D289C2B4AFDCDC3E4B7E3262E11107BE884EF38550E14526F9C32C9CA1D0840A7813850A390ECF8DFA05A94094B4098453DC44EECD14E0CB0696CC569141D2CE45A234291A016ABD82374888072856F59A3949A8AA0617609A98682D3015C9516F8F1C083441DA5AEF30DCB0C787016FD0443C63FD416590FBC7FB168CE57C5470A6D6B14CDA2EB6F4560901B570105482B037373CA0E68A8DB3C9EA7C014D89C4B6091CB22BBF270D88990C0A8525D82AB6119158C5C3ABA2B4D20439A58736A1631AAFC8E598C37B3C3F75FD93EC63F93EC9FC8768DB021B67F2BDD3EEBF7357A469E9FEFD2573F92EE84E401FCE76CDB3BFFFDA0008010203013F10BAE891832FA2613DE765052B814B34C4375A4738B0E85C589B74189599DC886A1CD018A887E223CC551B73036F32A74209BB972DD290E8C35D00E61B2744A6B8BD282C296199C1BE9C10BF83815D19C64C32CAF5379053316D444A6589ACCDC805AD9138883CC2E5C76C7ABE5629A8DB26D1DF4194C133C48D4CFF007153172ED2BFB21D378B51D2E5DB63AA9BB154B2DC45F42A971E2516623A21B4A1F73C88DCCC90211BC58B210620660459650E8CD2C6A28798D76CE25C062533CC171C463E33EB08C19844E60C8F4DC32CE32CEE14D588D5A82B643361D3975E09508F78353A985BC41F70AC7736DC7ED35D026A50A1EF6AE6D21A72EE59560CCE0012CAA4D70CA96956C44B770020D88AF310A18C55CB1D83E3A0684A03DE367C930E99DA0054010E12EB50155104A6E52A305E4984B7D0D421C3D264A9B40A9335335732852398C43804CB304DB20E68622025670B291CEBEA1B6AE16D2284205CF333D914200EC9D41AD39377889371CA2902B3D3296040C558954352DAA94E03CEAFFD8AAE50B772D72E20DA2D5231847CD673973F11AAD960E33CF8B96C943F3D1897441B9E21C05C4B412C290822DCA60B518E2D30480D712E4AD66A6254BCC45462F112A1A6B8F7F68B4B6DDDBB3CDF8841F72FCE6885D9312885ACDC64D3F51402B593EB6FA8146DF48DD116A3B32EE5D449B892EC902CD5298EF81B0CEFDA1E8A7DACEDE678465532671C0538328D44DA5A494E40951A969512259398278209967E60E0F88BBDC155328A86C490A2497A095537D0BCA9531095314F10CAE619771017861CC9DE6391930C81B8A988E8A71D50807A5F530AB30A759A0F351790E25E6FA3AC03BFD47370BC3A542ACB8E8827A493217789C4B12E66E3DAE8CC000AE98A52F49D67A248B9677394B5256A6D158A47786037380944CA1150212E54C41F267B4F074D9532FDC7FA8F88B302320BD3A3142E074210DCFE7886BFD879A6EFAC3A3F7BFA9B4DA689FCDA8EE3399CF421D3FFDA0008010303013F10196C0A4CBF05C4EC9576848CE21FF17058B9FE6A6D18F4BD612A99417D11B80ED2A04BBA96BA8D73BB802EAE347246CE2C8AD1C8F1DA3DDB3529C7486060B12A3A3025E451322D425DC621F620B88A3532631FA85B3A859AE215FC204A8C17D572F95706E54B498E1175D4438110975320658E0F089844A83F186B886B32864D262C52E4A58704B993262B29E44BF398EBA0C082D8B52EA399138A582081BA83338299819F08B5177E960218E5751A92A1C316631B2751E431F5DC779F69948097333652A425C806A138165DF0B8AB1C432305E71AF4889B8F309B09B40B4257CA72182AB88ECC17AB4CADC4B02E5D98312B0D206D99475A4836DB14A4D5F3FA4D22CF456CF89BFB32C0F597490BCA6220F58DB97EF99520AFD4DE74E85931D2A8A665DAF6838948A82EF20FEA1E91E677C051C8CA03484E2A097AC4F2508C0445E772D462336BBA5B352B398E844A5951453327986F31E1F30506837E91DCFC4AEC40C22A15890D5228909599A837C2AFAB01C902EFDA0AB67BC73FF92A5D77958982A2C54CF52D00387A2517918622D2A5D32CB5AA80E5B80E7A389CA4F872883FCF32A2ADDD5B02B351316A1C19532AA7799C12E8879BC87EA6555514E1E32F996D6EB9E22824824B1A080E8A67731D19CC17E87EEE680725EBB68E6531A35EF3C9A02265948941328DC77320BC4417CB2F6F93B77F981CF7C7CC64440F3AAE711D438B9942355C8C7156DD997F90B4A7E7FC400680F1BF36F9210CC1D9DFAF78CBBF3351B8E4840B8C6A66534A0368EBEBEF331247078DF985D22AB936D1852DC45A84E72336EA5C7C7A16F533085198ACC4F3436A5A771FA971D6019C301711920312D9A552BE6CDDD19AD422C8338E9A97D33D33C779E832CB78830A132153B68528D1142EA58866DC450D42BBC1254D4EE3B9EB572ADC6A64891180CA08FAFE7F097365F77F538A9572A6A2FC45BBBEA6E33E9D44D319CA8C6211BED703BA92C53286510CA57A5E22AADEFA724B08CBC63311755C4C4044BBA0E8C4C2BCCAFF00188DBEB8EDF1153D713BCB60D147437309A8639E9A985B449A66765660510DCB78A27DDCBAD86C8B3744B3995D0044A88EDD328D77E9236CD3B9B7A19FA5FDCDD349A93CDDCD99BF477D0EA69D1FFFD900','Education includes a BA in psychology from Colorado State University in 1970. She also completed "The Art of the Cold Call." Nancy is a member of Toastmasters International.',2 -,'http://accweb/emmployees/davolio.bmp'); -INSERT INTO Employees VALUES(null,'Fuller','Andrew','Vice President, Sales','Dr.','1952-02-19','1992-08-14','908 W. Capital Way','Tacoma','WA','98401','USA','(206) 555-9482','3457',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B7900010004000000500000FFEE002641646F62650064C0000000010300150403060A0D00000D0E000013E000001EA900003004FFDB0084000202020202020202020203020202030403020203040504040404040506050505050505060607070807070609090A0A09090C0C0C0C0C0C0C0C0C0C0C0C0C0C0C01030303050405090606090D0B090B0D0F0E0E0E0E0F0F0C0C0C0C0C0F0F0C0C0C0C0C0C0F0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0CFFC200110800AA00A003011100021101031101FFC400E500000105010101000000000000000000000502030406070801000100020301010100000000000000000000030400010205060710000103030303040105010100000000000100020311040510201221311330221406324142331535233411000103010503090407080203000000000100020311213141120451611310207181912232420530B15223A1C1D172337314F0E1F16282B24324A263344474120000050304030100000000000000000000300111211020314050022260704171130100020201030305000301000000000001001121314110516171819120F0A1B1C130D1F1E1FFDA000C03010002110311000001D0940FD5A7E47EE818CF98F37B8533BAD92E9C71832E498B56D0DCFB9AD91126F73F6D7D5B1E08BAD7B22AAF99D51FB34E548F5AAEF2FB0A13142B6EBE4233AC4FD099D666D85726A795F516D1B8F492B64B556BD96BABE69584AABFA5D580C6999318133346644D020B00F048DB952ADC0BC5A8FCFB7388113875D680E56BDA9F5DF362C35D5A6A0D55CDC9ACAD370A36BFD7A1A06070CF006586120A5CA0B58A975392620BA4FA48CCABF65FB539D462554449E24F6D2D65955A905C3309004C0C0B0DE6E0848316335598DD5E3833ABB1B8BDD374A93EA980C0AEA0C0921A4F6A7459A234B632E932304C8B0B2EDE442A71EB9123A91D1E68E7F9B65681AA970B97ED5E03A59DAB0412D6F97D2D0D576E5B85BA0B8D1B0340C0803099A821D799A7A85EB6902E873751754BE172BABF65F3BC5A4DC9E1354F99D1B1AAF1EB265CAF43193B312F7B4A97F6B390B606B40D2C1345DA401FE66FBD6E6D8E5AEAD52F9CE84F554DAD87E2FA3B58728C31CDC5771A6AD633767A8AE5D9730A7A8E910E81E61ECE4E7B4FF2F5EEB73AC1799D51C9AE73CE3E91D955AF39EF6F43E65D0A111B353A9A370574656C8395D9AB96ECF005D708164535BC68BDAF336CB84B5526EB9D8794CB54970E2FA87B9F767E8A8A6755841F20701864196F1FB5103B26513C3082DE473D9D53B5E4EE1AB7E52B78E7A0DFD2E44AB3A7D427C7EA890B5061F329D0BBB7CDA58DBF33A787AB85AC77688FCDC1EC71EFFD0E45A75722EA36B38782FD9266B35803ACF13BF6EE7375C60EB683A1E96C4C7D3973072851F04BB61267A2886EC79ED235562DDF9222564A3A455BFAA23AD649E63E93ADA3C6AE9F78FBE4D0074E6C6ED93341B5AD013B2E419EFA4F2F7D286FFAD16B8EC9F54C7AB11F3727553765E57F39F59E9A43C9169539AD4239B3DCF49BC43605086D00EE215FED706F999A46ACB5DB5249958DE84CD5CEBA000F45C83C8FA6EB80F3BD20B708E399ADE59AD4663668EE03174B51BBBC392C73EC589A96AC9DC6EA9F9ACB761F2ACD8CFC9DCBFADD144F0AD277CC723AEC7C1B11AEAA27856744E94E426DBDBFA3E5661B9A4AAB4BB926E33541B1A866196197D43B1C4EA7D606C1C0D2F0768CB8A5FB09E863CDCB01C89894D2F4FA47A3F350FAA1772D59922A55EE576F7D209B522AE88B74F9345F4D8333134BB1621A5E531A5DBD0A4619203E9ED86E274B37E26964C64DAC85AB959D45962895D6FC7788B898159FE3D1FD2ABE33B3A133A047D2F0C88B7619237090FA4698F3BD733CD3F0060A31A5C66E5C66FAAA996BAD783D8F585120739CE7B2A18FB716C50088A261BD09332BA24DC3C19CF2FD438F3FA2C5AB74C18CCB7EB254CBE44D08AF1FA7A0B2AE6E17308BF51560FA86EA08273636D2FAB7EDC556E4E1AA7F43C57468D0E87C2D40C1BEBD9ED2FF003BCD3733FFDA0008010100010502D0697B742DA389971E4B96CC15D5EFB229CC0FF73246B9ED92D8892D8C9FF3C51F3DB476E5B25A0A306F9642C65ADA5D5C4B3D99ACD8D9DCA4C74F1B8636408630164D65248618DF6B134072C4D18B8B5A2CA46B80DF9199B1C58CB192DACA3883D0B0E4A4C5C6E0EC4C6D12635957630157B8996551E23C4ADF9467C946D9CEE128EDB4AB2B517994B88FC8D8E300009C9C9C02E213DB54E6857B6E6586D1F33C433DDDBBE078922D78AE29C28307ED91C7A30AE48BAA9CE4E7549E89CEE8743690BD4AC9A0585979596B4545764B21C5CAD0E12973637AEFA49A3BA878D5B42266728FEAF04F141B02C9D7E25B3CC6DB59CCAE882EC9D2757CB40F9681D7345E5715C8E81C15D4A443F5E944B8ED6A81421F336FEC6491626DCC42F64918DBD97291B6EB259C06DF377F1496792F96AEAF9F0B6E73591E6DC96524661AE324F337799C6E5B8E89B05A576029B23989B753490D83DB22BF33B5B97C37D96E5AEC24F028F193CE7EBD88F8B8ECEFCA8E5B83987AC75D7D8E3566F374CB83421BE275B4A031AF40E8502AAB251DCCF7D87865B6B6255C63E3B94EFAFD8D6CB15696AA265197D6AC9A56D8163A264AC4D68AE5DDE38E627E45992E6B102AA8EACB764E9BD2567109EF6A9EE608859DC36EE0FC5972692B4C64B42A2BD644F8AD9D33E0B3FC588A0F55D02B09DB5698D3EF3DF717BC239E67DDCF71659382CDD9EC9566C85D3C174AE16770278EAA4844A8757DAF40D72E4B9AA68D59A8AF7E2FD365BB38D9595B9CCFB1B87B6B2B62F9FDB7F6335CBEDED5D037C655AB24B79EBD66BB642D839175B5557A54A28E8D5CB8B3EAB7A65B9751CFCAB259837EAB9A9DF1FD78B6DA3C4E35B1CB698A8656DF670CF64F7CADE40273BC92D8B47188681108E8C4E67387077ADB1CB81EFF001F211B782B8C9B98C7E46D254D6C721642C2C3EC175351ADEF62F50F50B9208E8C59EBBF858C94FBB0FF00632D6DB4EC9D9C6A2E2C8CE64C6480F8648842D591BB82C6DA1B8F9912B27F5824E9E55E442608A0A26B5ADCB64E6C94F275D313F62BBC5BF1998B2BFB775CC2D125EB1326F23BC8C8DB9ECDBF357B8F88C562E56B251D0C838998046E9807F60D5DD47075CC97C78B71A993B91547A2B7BBB8B47C3F69B9567968EE109DD1B7EC39E65CC585C73AEEE4F4533E89B71456F92A29F25ED7643935D9173531D64C8BE4406F7393D87F5321E2F79AE85382E4A8104D0BEA9908F1D70F82DEE8DE60E7736EEDEEAD1D0DCFBE7B8AA61A895E2B1BDE228CE4BE7659993763AE2270D5C7421513535596427B5C8C1F2A780DCBB9437E6564DF5FC3DEABEFA9E4181EC9AD54B3B797E500763FFB5BF8F18EB1C8C1E19A414716955474A201057371E3970F2639A3C934C2E263048CBA92904FE452B61BA8EFFE836B707EB9FE7CFF00E966BFF05DA9FF0021DA7DA15FFF002E2FF924FF003B11FC98EFF46DBFCD9562D7FFDA0008010200010502D8E3445D5D00D8468D29A7AFA04A24B8AE4B9AE6B92AEC081F41C9AD468BC754615E254D392E49AA8987D03D4BBB00868753A075103540D0EDA68DEEE4D55D4E8515551229BDB6BFB04F726B90D0EA7588E91F6DAFEC9C5355112895C917AAEB168CEDB5FD8854EAF345528008B7408342A046899A0EDB4A63EA89F7393486A3282B9203926510E29C188A677286F3ED7FEAB822D544C6F4EC6AABA47DEB57EF91A8F7680AA9CE099EE43A07F7D289A543D5C37C834E6B92017146AA88843585BD37BDB55280DD005508BEA8155D9132BE94A8209AE0516D17145A02F6EAD141E8B86A1794A2750A2654FA32BA8139A82017154D40518E9E817271AEA59540F15CC2E5A81C437B6FAAA9DDE345B4544D1443A9DEF93A7E8C1BA9B23E8ABB827745FA311DE7403A7E482E61731B1CABED8C847D18868421D555725CD07A957ED8FBBB51BA3ECFEC3B9EEE410D3FFFDA0008010300010502D8C6F241B4F42409DE8815428002805C5715C553572288F41889402F251099791072AAE8884FD1C10DE3A0622740821B084F144687D0726A2A880402036152E8EEFB5BDE89A116EA34086B28D1DDF6B3BA684740100805C1535974777DAC40D157A462A8342F1A0D459454442A14549DB7B7BDC4218A9ED8E8BA3D32DA8885249D427F3A33C89C13FB774778687407B51364A2F2145C9C7A83D2A8E87F16B4361DEC928C4535A9AC253DBC4FEADED445141BC8DED1ADDF0B8A2831358BF11E4694D635001553C5114C2AEE4ABB7C2FE26AE72FD2372797141BA15C972A82A4938B7D068A9BB8F804C29EBCD22F952A6CB33916947A68F353E84668EBA6736208A6C4106D1172E49EA67F16FA38CB7F24A54F02228AA9AFA2E68A2A95372DE327A0C6D55A45E38CE93428B5712B8221156CCA9BB772977F150B47245108F44E6828FB57309CE4C88BD4CF1047BDACA2AFB98FA3AA8E8539AB995409AD09A164855BC571D69B3F72B77738F47E842A2620AF9DEE751A9DD550AE2760A2E1EEE0563DDD0A2D55474E280416424157A0A9A16AA2E282FDCB1FF939053A1DB41A5FFE48F6D1C8A0BFFFDA0008010202063F02DFDBC926B8ABEC4FB4C69D9B7C9F31FFDA0008010302063F02F4A49F14910A336751D8B7339290D645EC190D9BD90975D1B0E35C8EA3030258C4FDBB273FC4A3A10A852562E70A4A5D29639485216956B938D2095E24A27DD67FFFDA0008010101063F02E662E91FF86C68A945CE706906B47774845CF95B2305CF165CAD7B6469AB738B3F82B2D63FF106CAF997CB1F26469A8D8762D3C97010D0EEDDF4A90799B98FF4D1AA38B2FF008DCE277D6C46137B1943D489F1136377576A6FB0716DAFF285C79230E26D0F757E809CF934F5DE2CEBB7ED59A175FE2AFEE0AA59981B246E050A32ADA10F6A70AD8FF038E0429086F8728B7A289DDCAE6A06545FBCA8E28892F36CF2BBB69B827323B69E3936A6FF00C8AA0BC61EC0B736532582969B7604CE2B32388CD92F36ED2B30ED56DAA9942EE8FA15D4DBB178457154A772972CB97336B52D1891B50606D183C8DC56692D3E56A8E94B5DDE1BBD8333FE1E9CD4EF3804D60146A000BBD83B2121EDF0D13812ECC3CA7F82A96891B5A7EC531EDB88E713B1677DB23DC49DDBBD9DD949C6E4E697671B1F8F5E098285B427BAEBC7389069BD39D836C06BEE43673ECE5A1B93A271AD7F0DFB3729B887B81F48C7BF9D253122BDA98D7798DDD2AC356E0392F5E314C79379E6D15458F65C0E23626B9A6A331A6DE71AB33B45ED4E95ADCB93C112756FF315961706BC8B1670F320C42F165070A8438F2BBA2A9C41B0016A2402E7609D648D186505011367326D70A0FA135BA97B687CAFAE6EA4DA58704E8C0A6F0B4D18A55B1B7339B89A73AAD7655FEC558F748E657EEE3D6A47B6E072F6273F4FA63A89E948C5C3B519755EA9C007FF005E2395ADECBD3F89307486E92A4B935A1EE73C5CD015350CF9C45A360DE8C5A6B00B4A7B9B9C3BC81BFB979A6A5BFA7923BEDF8931CE8CE9A56119E3B9455DBDD557D81C6B4098D183473F49A285DC26EA627BF89BC0AA6433538AD273D3A558BE7461DF7AF59B208DB8D171218435EEF3629EA4CE2C2BBB760420299B6D8AB8AD3BABFE66AD29B9B47BDC3A90279FA7D55D240DF96E1D8E0B712AA55E8BA67801A9B331B958EF0A76FB2A8E519C628806EBC72576274937874C0CA06F0146F9CD6490024F4A1CF3A47D9C405CCFAD1E11AB5872F62732BE155CD40991839B31B1A98DF48D508648ADE1CBDE69474FAE0C8668CF7DC0F71DD09874D94371778BEC5C769F9ADF100AB73B11C84386768B4C5F16C4D662DF121CF74DA02EE3C62CC9E2E90B551EB9E5DA98F54FCD5BE8E00AA5DC504665140C7652478CFBD710EA7F5339F36C546D9D29D4CA731AE6AA113A8FA5EE08AA5F1BB62AA7508329B1AD40DE4FB0738DCD153D4BD5D8F3DE90B6703AC83F5261F84D5658CE0BF53A4F55769E6CD4E1389A53AAE51BBD4E6999A8E27CC71398500DBD2A0C9EB0DCCE70CF495A2A3A159EA4EAE7F0C6ECEECB93757153706368D0C67BAED45B21EC59A500118723DFF114D3EC256569998E15E90A17C8690CD5D3CCED81D71ED4F8CDEDF72B42B2C45B23330594E959506BE1B7DC8BD8C0CAE002CB94742162CA2F7FBB900439EF373F53F2E2FACF6276C2A1D2EB5DDE8ACD36A0E23E17A0E1D6158ADAEE46D6AB458AA6F4FD4EA5D9638FE93800A3D5529C619B2ECE51CB7F2BA699CC6451B4BC979A0B119A5A36BF870B4D5AD1FCA8AA14DCD5D469BCCCC40DC84F04C1EDC771DE89CC2BB11F3515765C8BDEE0D005492A9112341A53481BF13B1795A561BC462BCCB4AF172C79B339F21A32260CC6CBEB82F517B7420B7865A739ABA972F723CBC4D34CE85D8D2E3D21535356FF00D8CB47585DC9A396BFCC2AB33E58A08FE27108E834329918FF00FC9D4ED1F0B53181B58A1A3E776C03EDE652AAF57F27163D4C7571A32478367F4A64675CEF95157811B697AD5174DA8682FF0019DB5F72DC6D1CEBB9642F88CC666819074DA893A37455F383459B48FE37F21B0A2DD440F88EF1F5F25EABC9070751A478CD76379C54B48F4DC3E10CAE17E0A7EE4125BE0EBE84E8DF1F0A588D0C7B3772D39DA76699A0C8E6E29AED5EAC318C19A8DBF2FEE4D6FA7373C8077DF27848DE427366E03C37F1A036967DA1712360D33DF73E1BBB2E59B48E6EB19834775DD8570F5113E17FC2E1457A878BE9D13DAD92FD3BAA0762CAFF00D469E5921EF5B65CA70FD64F1D1D52F1B9DD1FB76A84B753FAA8E785A592DC6ADB0828AB16FE74258724AC3649B028BF51AB7CB296E60C1BED2170FD3E310E95DE19BA70EB5047A19449ABBB8EE167DC7D171C6A0E5AFF00B9E9ECBDA76B531EC7CB2B241F2E52681DB9DB0A306B34DC784D8EE252AD3BFED464F4DD63B4E4DF0CBDF03AC5A99F98E4CFCA77F6B96A3EF9FEF62F4DFC97FD5CC1CDEA5E99D0DF729BF2CFF72D7752F53FDB12B57F7FEC52FF00F38F7047F2D9EE5FFFDA0008010103013F218741A8D10C55F4FA441FE9339F74EE0159142DCB8BFD44A1DE10A714EDF2454E58EEE0AC36772205B0C5D8654FEBC7980BCC3FAD457028764F1607F5110A6FB0DDFE350331C0B19C3F1297EF5DB9785DCA9F359EA3A54A84124232B45F98A36F9945629AC7DDC1DDAA945CF631174EF0287E42FE63A753B163BF98D35B09BEE7C4B1A4EF6B81F994254FB4B3DAF312CB08FCCB2AD66EA2791DEC20D867D488AC1DAB33CA97C5CBE0EB63DD8771067B7334E87425465EFD6AD638506D751E0B7857B3C01D8259D76A95CBF30347BBFE44AA863CAF3C777B4A8A2B86D4284E2F657A4768A94A615FF50E990185E070D7980CEFC725EF668F898A80729FF25D6D61CE8E9A8EC269310EB5D496B42E70D0F6EF31886DEC7A4AB81812A2692B39F10CC1B41638943857DCAE2593159F977FD41A0001812DE720AF33460BDBC7D222E0D0B63B12D1BABE41E901B1AAC33112A74954783A74CEE0F0C41689BABB7A91D07615D0F4D3EAD42B8F985F83D3B7D222C18D2B41CFE2585CB6555F261A3FDF6949BE998E9837881B9A625B7E9289708C42CF596036A59B0D8ABB728259BD9BCF678875B8A1454E4BB01FE43F128C8CD2C5FAD46F8DC706F7114BDC40E832FE0AF6FD4B0447B45F7CB8D8046CDB0E4970169A788B9AD5EA16FDC46DA8F7280D61F7843A6FD23062CF7BB4487ABBB9D08EA644A9C9CBE22BBACB4325DA2DCF90658EDA0FFA54D7931C5F198B997AB16EE1660500BCFA46E2EB421F14622C00DD820F77EE5258DB62DE868983B12C6F788595E3353E585D568982C985BA5CBE83C2977252AF9C68B250E230E5A8AD5ED398BA1B3CF64BB19B294ED90AF784DF62CC55E8577CDCC4521A8159CE5329A3CA544397E68E0B980ABBC16F3C0D7AC51757638503B31CC6CEC1FE9339655EE82A9CA2F7C54431A267D25FCF4062EA57691134C1F9080C8A069B67DE51DCFEBD610A056D3F8108EB1EABE97709CD0A59A7ACD4729282144CEC89B8B6A984201556ABF86BF11C16A57B7A41C5B07CB28D2845F11F76650142D81954211066C94B0FB982CFAC0A26C7E61AF33C470D0F4976C652702A7E68C5B0AB6D6A8B8D977FCCCE5B66105C4354CE93999D142AAB985C50550AC3E08FEEF04588AA146065A5DFA661DB48D723AD779C526C2BDFDE23A1A06325A077559A14D1D9B69E2085AB376729D7BC161817965F4501E606A0C6908710C2FE94C8A8151359A4728EC776068780F422A5E25466252348C041A8E0978340A5F90A9C3890486128AE6318288539013F4CC6E61D55C5BD26E50EF45B742E60E40FBD65FDD5A2A2CD8163588060FF00EC4FDD7C1ED048E13CC880A7BB39A0DAFACA2AFB4B740583A2CCA6E4FD2173E7A0BBF670B998C0AA17933BCF531E1F1460C28DF64E5879435C95D836A162995E5722016DEE7BE05178320F7D5BDA15D09056FBDC43B0EF1FB86878E23D066B704A86A03E8227E26676170DD91AD26BD804610CB84E5699426E49430A6CA8799C70EF11945C83C9DD82832E35FBC11639C265B0707FEC55C583FA8A83060E0C04328AE39CC11CABBEFADEAF48A89FFA4D617F4BC6FD3F31CFCDD730C7F844EC036C07BC2871406A29C8CC6582E206C0E3BA601CABA8DAC516BCB8F68E230651E947086509D45EA161C1BF5E25152D1AE1CB77860B5C8406D108FBC3BAE09429FE2F203654FD80B8A5386FCCC8AD320FE22CF1B1C0195809A4F677E81D8F5981BA57A97FD8EA190F31C3338E225693220EA52802D744AC0E823B25C1EECB76CA24C5553DBB7EE64741A768A8A1C25D712CFCD55E8F6182CF661BA8F90F6B84DE89417B8DFE2393ACB86F9A985B8EA3F40F2C647488C2B9F56220568344A30D6E301EBAFBCCCE30969DBC441CB9801FB52AAEB1FEDFA8E6079AB74BF7BFE76982A51623E7EEAFB6E587AAF86042C22371364B732F6F6EF05D5ABEB3B50F0C9CEA192BC1366E95AFE435190A8D60FDB50206E583DB4621BC70686A3E5625817A83604820E535DDEDFF00AC6556E713CBEFD2A0BB6C53D25ACCFDBE6DAFD8CBFE15159738913F1D40E9C7A198D52E77E933B28252F65784216DE0C2B3B07862A38612EF279098A656D6FE6F6A38DD88FE27E6589DEDEBF32CBCA234376C8B5F8DFDF0CAD84B614C737AA82260B0290F0FBCC6ACAD381874D54ABF0E7E652BCFC468B78EC62C7ACAE8CDD36F82A2D59B2E65628AB60FF6C8D7C755C67259D864F883FAB6CDF93B1D30EA894EC18F21C41147417B20FC90C01335768B8F022406C6CADD51FB4FB9773AA8E1B7DACF47FAE6A6B71D751BE9D31F69ECE997DAF9E93FC046B33AFD8C27FFDA0008010203013F21FA2942507A5570D44B3DE50C0953D031FAE83A429250807AA434F43BCC65847E87ABC4E4658CB740A25C94C112ECCA69D07EBC783A74C47A10EB49625089F495D090EF1622C745DC58A2C714229504CFE954750EA60E9652BAD061ED197FE1874FA2AD439E8F24AE343A166532BA071FE0A5DC6B1AC4B373970388D8C16F409C1C26F2E0AFA82C8F8ED2C515F136DF29A4220876E8B3E614C4DE39C18B12FEAD897175A85B2CA26B72A51B8651A47334CC53B43EBB18306CB10C339986FA0370338E84352F67F803ECCC7116C5D4B2625CB39C7D2612BB778753E9CD61D3340A50C432672A254BCDCB96EBA1F5EA659FA06154AF727311A1E636CA94875BFA489896112A0434435B2CE23122C4CFF6E97F4BD09EE3D2DD7460E9B1D19735003D187D55625CEA5E2CD080265D2A7AA4343EABE89E258AD7D06625EE55D458236981FAE096E13D709D7D23D16C58C5698EE09D1847A3054DCF9B0E7A9D0FA1BF0C2A54DCA60D04957025E5292D4671D6BADC7A253DA1775589667995CE54E20E08E8EDF10D7D7A1BB08FF836CF59A7A9F6CD233FFFDA0008010303013F21FA1D40150E8CE60F5E4831087D7726BA5FD4BD426653D2250C3E93A1B65ED11894E80BF42902021AFF0010DD8B3D25FA518E96CB50043EA3734A873D194A259D00810825AE0DCC3EA1B860FA5A83D35D4AEB38667F5A09866B3700352D96C04A1311E84CFD66D0A0BC064C7B882E276506131B821D9868E8388B9832FE8559442F5A83043C944E0623355CB798D4066550F0216E057C7C54AA090A419FAD32DE26507744D65F1D6A5826374E51C4DD141BAFF03F62CE259884C1463995620B8BEDE8C25477CEDADFEBFC0EC76851CCC5705662161AFF00E4066A59CC00D712FF004A8D90B883F7FE02877BFF00A8350997A62CCC2EE30C59E2154398B7FE0A6EE84134152F10A2A6C47EBE258D658E220D3F842BFB2A235F65CAAE96CF43EBB9784CC1C662C74C76C6364B9356371B336984EFF59D509773FD4C652BA2249D00B457309841198E3FC3CAD43272E586E2D6196E6160D044AA29E1D09277FD7D0CBEA2C4A5BABEBB6271E2674DC6F69DE5F018A455CB47AC5BCF5A952A243599C41111C7438B00EE32D928DCBF8E8A8256BCCCA2A540E83A1733F1828E258B93A317089C7580E9BFC489B040E517EEA25332FA15A62B5ED1ECC6B1316355931DEE2C4AE8A9E9C73873E19422A6B89684B2223D9D1F7FBFBE7A7AFA7A759AF13EC61D37E9F7B1D9BD4DD0D4373DF37E9FFFDA000C030100021103110000103875C26779B4B6D6118B605B47D3625621415D1FDB25CEDD99AF0E0877E3A4B4B360F35FC0B0B03C2A9E9FF1CABBB6B31A7DE515CF495B4F02F8DA995E4F0DA513178DA409ACBD00BD74A26A3663ECACBCA3F21821C4B667FE0BC2F265E6F801F05A6E0D5E4E31A15788DFBA9415A0FB134F542F5520D01AEF53E0818FEF76742BB270B13DD6EC5F3A65671136B30D6CF20B5D9FD1482C26C73FC1E83DEC02BDDE26CAF97BFFDA0008010103013F10832B2A1FD8822DEFCC7BBD6F072B1DD4322BC978878A3D211A6A2E9542AC39A476F314A1185A1DAE4D6CBB0EFC56022A05D02CB90270D22DD42ACEE06C76629415E6979308F2912D4066D740437B8E2DBC8ACD0745B5BE2E2CE741E3CCE2A8B39B3307B2DE547329742C6622306469595A56057A67D113D083B33527DB067A37FF0070544147884CB99213596E8DB44489A89434CC72CD230C8902A5302040706551E2B456D9AD3540BACB6DDF10CC2E4F8D1002871461B7BCAD39514DA034ED063DF70D6C3985A85CA161DDD6611FB010539ECAD2CA8E0825A96E08872D56AD29F134C7505AACD9056D4A379C78005041B1634AF2E25986094C285517B5683B445EC9446850C8B72B4F494370530A82EEC94ACCA0442A24BBCA18A9C3D665B9BB042A90DC25F8C61D8A178146D9DB12ED11DDC514666CFCD6731F50EEC3877A63D48D52CDE4A3ABC6739CCC0E215C21AC28C62BFF00213B789941B73BB51B7D08252520DE1AB479CBF3059783A86C342A9BA1A78D3924DCCDF8702B97711445A49B3B85C9BA3CF925D625787532CCA81577080B82870CD7C1EB16003000BA65BAC17605691D011480C3660C6202438078C40A02A50C8976037CCD0267863480AE08158C22317491C212637C84283EF08A840169AA01CFFE21FC780280E54247662CF9E0DD8C3EC4A81529204B768BDA09AB501BA0B664EC8576FB1B472EBF4ADCEADA31EF02EBBBE621ABF48A12E5DDEA102F6EA1D897E901B1895DDDDB3C80F319577501D2DC87AD577227905D2D3AA5FD82F7732BCE673E2367379642D9983CCBB81284BF882BAE309B2D735825F10CE2BB63200115685BB6CC5BC8EED6D479CBF882DEC8E235B750A5DA32C56F99615D2CC440D938A43797FB1050C92E9C3128C4948C12BA53AF092E8D59C4A29375D48592E32C7AF88338F786E1895B9A4815A4A92025BA4C72F13372ED6B11500B0B1E614B06BEF9082D72988741CB502365A16A618160936D6B6A88B0945B4E63F0B1E81AAACB0AACB5A739F512349AD88406E06B3B7528B90B52DA2EE55ADCF837E8CDA0182029792C2F88AB7B994A8568B2DA8429AE0361BC33C9DA1010561776CC03582B1CD4C602BD898476BBFF00952D1F6F6BB79326BB4CB86C60D2C034AD60CFA622061909A02F96D318CE20E51451642F73F82C0DE6AD70A54BED613158A20D2CB07FEC3119068B6A814C79FEC0F06A71B6B915E1FCA61ADD1B06926CD53F8624D480B4E0D35DE0F8385A5759318B6C6544A38005AD0B6AB981CA09BFD421CA5759D432B71671D9349EB0386E8AC418E03177519758A761100DE74371D5D4FA3A8B00725844ED5AED2B07AE9B571237EF716CEDBF26BD62446A66CC66ADA4AE2076A879B8C8314DF695854A246C702EBCA7AD44915EBB00A381B52EDCC682F7A86850077157DA0DAF5747342CC5E2EF8DB00C08C6F75282F1ABDCCA941B8B9BA156B788B0D42D8C30C3AC5A19E8016F431339ED17A8506CB51EF211D05B6D3132F955F30280BB21783DEAFC1CFA661A58F76F8431F1752B2A35BE40256C649141AD14657566E094B10075A6BF72FB1022D1EDAC6263EE0CE00F3763E88C0296C54E1AB4156B1032E3DEAB0E386E58E56F8D388697B6FDA3D413DA4683AB8D7DFD225ADB0CF787A6562FDE1334207117FD12F6AA51B77D19071B12E711A8F72D5731DE813554F77BBEB2E23E097F1037AA0E71C01CF8994521CABDF22B512A370A6A9055E2318BC050AB5C1F0EA2E61BB92CBF88A0377DE62039576B2BF32CC9690561B8DE752DECA42A410AAC2C231F040D170CD8C36163778F72C025D732B01C6A78B1BF986663B905085B709CC173000237604F1306A0AE5D9BCC56E90B660B05DD5B1B43D0967415BAE9C76A848235C69CA5EB913E1815BCA1E4B0401B4BE082BDB5C1BA1E06C654B862D322ED0ED513839710C98F0BA2A2EC39FF0093014038DC45E0A950F67E28FE462B477986F0FAC6BEF2BA85C3337151BCE3E541182F2C5F8B2391BB50BB12B28236436D994821CA6282F7D8D22F50118E8432A521C4DA60D046A6CAC8002B157064772907B29A3BE21983660A821ABAA876AD156516DCB88E168DE632E6CF3FEE11B0335289100D242E9E006F3B8AC2F77CB92FE664CA5DFE6996610A6BBCC3739835752C2625438ACA770BF04B71DE40C500F1546AD261ECE97E2E18629C0BE069BAAD3DE5C2F6A8FD3984F00798C3C68396C10665206562105040DE2F8C5388CDDB1B512200D056B106F0052612C0A2A51A36F64CE4292B18723C5D7110A802D3828DC5489726C4E1EC41649A7762AA1B530012B8546EC858A2102B8899AB99497800E268C80F8B897CE4A0086B02ABDAE575EFB30CC1EDB8981987D9984E8238359C6712CC0C05105DB8E065BAC819618692E08D41DD95CB82E59746ADE8A1D76ED00D662EB38CE1771EA056EE2DBDF509AE1198C38D9F9203FC1FA22ECF199A0304E5B83504709AAF989A9FB521DCD961672936616FE199B95EEB132578C7C7DC963B26601C3E6B388B58E3105E5D9D0D878176D54A28896ABAD98ADF38B8B0152C4F3BAF3718A42CAD6FFF002583CA30FB71981FA8C777CF07BBCF08707F309DBA17F14CDD343E6A5B4B8565752E2C7A5C57FC86D96D444DC53190DAD3B3DAA1CA741BA9C0029705ADFA5C0EC5FC4CBCE4CA2BB1CDAB1EA0E357588FBC0BEE8B572F21983132072E703E25A28103694D9B2BE63562A0000E54059863B97480761780CCD515442581CAD23FB1096B7270DD3DA0EDC46E0CAF2F3FF3714CE1F9E6E13781DE3641A96E42A9CB7F825813C04B55D0042E16F8D32D48631671E261294F3EA30559AA6ADC292A94EA1C00C057A4ECB2DFCE61AE33DE3645CDEB0DB41561F90DC1C13876DB36FAD48035A6B3BDCA0FAC620A6918DB6AFC2621E644FAA12A9346CC40238868401035805F782400280A00E2A1D8B5B6FD22BCBD7FED424298512FD36A3072D12FF1E2F7106B1B29696B80A88F52B2F7F896BBD4537D219ABC8D66B266268C3CE27656802EFDCA340AEAD4532B442299E5290CC1BEDC1C959ED2B5E6A5253B8BD2857A0D129B0EA65A05B01CCC50A684B0300838041EC186D410FF007352B2785B4696BBBD42C3A5BBDD87235586A68C48B37D8BF6181DBE2C15B878B51A5DDAFB635160B2E65BB9247D986FBA4928814AB8A09C459EB6C35946B40E2A9AA51482A2D14AC5CD4D357BD64482EB43333000BE154882F98DDCC4AE46624F7435712C6A162F72807113942E15950B1B3BEBD63A4BA6325940B3979147699A6DDD7AE4958A6471B94309E6DCB6EC286AF32A6913546D4600EC0186A20E001E513E903DF1D97A5D50B3C92CA0552864CE77A8AD8218219CD5686AB9CE22C2E0852B616A870601E4A71694220622A95E5739A1DA00C5535937250C36DD19C8C0732BE15B4BDDDD5A9F994CF893F0C1C3986D2B0087598D7905AA290539C3E261F18F494816F91BED30ABB39F260CC0D37844816BBD0B7465A64328171E7E928650C2E1E18698568A5529420468AACBB923652D50BB15621374B7C95D9061B2FE9190FE80EEF43A6FF78DFB4FC0871E909BA693ECBD3A63FB7774FC797E410FBDF6EB2813FFDA0008010203013F10A8C3A05CC40FFEC25D4CBA495CB99472DC043C2278264598098915FD049513A15CEE563291D8FD4378988603999E48211475965C6D13461954DBABD0CE253A663D564568DC59706A6A1976B9E9A398E4447A62327DA3E8DCDA2D4B972A2460EC1CCB6AD42804ACA6BA442F12897325711FC10892186A5DE632BAC8A47D2E7ACBF894E1362048BC256C35866FF130CC33067A1AB0971D11C32FA55F423D4B598CE1A86E1965711B62C625AE42019218E552B751CA0223A9B29F696329B89D195D2834CA498B4B820DCB714806EEE2D1CC7A0258CB1BA376AA60B34B920AAF449517A5B0ABCC5AD2BC4C6B10DF9650A6FCCA6597E63495518F0E7314BB2118BE333C4A83C4495D183192B7C7ACBF668FEBFD43F03044765DF46A7343CB97E388405276FB082AD012C23D2216266E3C1ACBEBCF88836978203D698FE918E654B972E2501795C7371CEF0C3CCF071E7EF71713D339942EE889A2CB2E1CCB0F588A592AD91F74B62ED2FC47FA44CB83D2E5F4451766ABF27BCD834C44C90EC4C99AE2270E8EDCC165BB8094DCA5A6010B724B57065C3CE3316219E84B65CCC261F24538D48C51A8BA5C48B85D3C0FE60D0DEC8E97C4E423BDC5344CF532F33FA4CA04A984DCD40944B2CFD4A8D426BCC0568DC3DB444AD205107B700D48C5DB20ADC22D67DB8851835F4998A84BA5F6189BBE60CC60E66641F3CC50A5175AFCFAC18B20BA552F83DDF9D4162DF4557E4B9C0D4781B7EC9E2D20C194972E24A8196A2F865CF882AE24CE12A5024419A9323188C3728A133D31FB4730A43A5F41288332FC37846565F8479A6240B8FCC7725C398952121DBFBD037D0F54E9AADB156FA04FD911D508CB0462F3987314E09BFDFEEA54A1121D165EE281329C921558CE177E91F3BE83290228D939DF9984AA897882BF17986BB1B815D5C6A0AC496C0C9ABC6BF93B9594F1C3DA24D1BB79889B84085C20A651C928C468AE2DA6A66C31DE28C3D0E21E812B61CDF3169A4BB7D35F7F6CC6DA3394FB3EFF00043A6CE970F33CC4CB8A3B82B6E9941B63FBDA27732A00BCCC3E49C2601592B80358797BC334217EFCFDFDB00A8CDF31D74ACB2A0E73D04BE8588B148FB22B302FDCA36D36778014512C51067046B26205164D3AD7AA799FA4DFADFF001FBF4B9F913426D36E7A3BE8EA137FF3FB3F05ADEA7E23F6F8EF35FF003538EA6FE9E77346BDA6E4FFDA0008010303013F103AAC1271008202A82A563042C049A122E655372F8D782B1D47421D31DC42230600A198A9944C41634635A8EC7333396D91F34CCE8755D1EDE083B4806750D095339C4B0CEA659562353DD45CE3DE107512BA5C5C45772752A2C5BE80B96DDCB3A99711B06A162D4ED71C9056254A812E5CC81DE3B0341F33021B60FA0309592E6AE38C132E26E10B299108E612AA5CA89715CC23E65CDCA044E262E6502A047112EE309E664B9809198204AEB705996B04BC45AA0DEAA6F0B86AA1BBE232D63123D745ABA660A0C1FA06D75309BF3066A52D4AA546700457004065082B6C9C9A11EC6AE51B416BED2E5EBD40C489049D2CBF4E7FEC3CA2C3F2424E52580ADD9CB302578A3F6ED8810F7D7EEE23336BD8F5FBC4D5C10A12C1DF276BFF00915D6EE513E2CB806B63F88F74E226226674B830CC49535D209E341F31055C1501381FB98869E9A9AB95FBF04BB5C474FDD4B8A0C32C22BD7BC0E933166C8803DD84A895D2A54AE608C1A6C7B9A7DA1C669910C931E6E5BB5A6FFD4B04E250DE18894437D0AD3360868D541EB0744B8E21123310CB913BF2D3F30814DCD060B2B1376EF167E1E7D663DB4165DCB24CA260C91D65603C4D94F6EF0F358FCADC3AA67A6E5C00AD3B1ED31D6C986A8460A99CED52872DD466AA896AD17D05804C5E218B106B3B8743B9EB18F733C1C79F13BCBF3DE0A4B65CA583D19E4407CB021AF81A23444661215C1E4DFCDA8D880F06FD37115BAEEEEF12CF5AC7037E665C1EE3ED9A20786E08AAEA277559504A892A1D162845D257A231B9CA460B20E0E8D7E698B60AE30B2FAA333019DCC65CE1D448D32A54B746183CBF28E1F3F88ED9D2CAE796C8A665CE657C42161346704573243FDC58AFF841FECAE8741CC1874B77FF004FF500A0160EEFFAD4A950B904A8959F9F68370478121A4A35A97BEB1C5986BCBCBEDAFCCD6F61F00FE7461154208115962D9DA997E965FE200506A62B08E63785C2D657DB8885D9D8CFC9BF7CC32C6FC13180ACAA3839F4EC42E514A7BD3F46E3356DCFCF4AE964CE2CBA057D6530374EF3CFB1C4765513412984D2092E3128208B174E83443021CF45C2D5100009C8CD9F609418DF418712C8D20A8C296B0402DFB6601FB7DFDFADBE5053EA4552E2B63F9198BB097AB1A6A10CEE560F9FABEAD7F22359F5EDDF10B28CFC4D4FD932054AE446B88B00B42FB916F07C12B7DB7F7CC524658E2926659860B67F12B6E4E1C27A77F682539771C2537D7148657B38204C369FA8ADCBA7B78F78E02F30D9700D9C71D334729C3D1FB6383F9F7F6D4FB857DF6F33427DEEBDE6BF3E77ED346FEDC4D21B9EB43DFDA7DBFC4FF64FECFD69EA68F59A3D38FECDDFD7FBE26CDFF26BFEA7FFD900','Andrew received his BTS commercial in 1974 and a Ph.D. in international marketing from the University of Dallas in 1981. He is fluent in French and Italian and reads German. He joined the company as a sales representative, was promoted to sales manager in January 1992 and to vice president of sales in March 1993. Andrew is a member of the Sales Management Roundtable, the Seattle Chamber of Commerce, and the Pacific Rim Importers Association.',NULL -,'http://accweb/emmployees/fuller.bmp'); -INSERT INTO Employees VALUES(null,'Leverling','Janet','Sales Representative','Ms.','1963-08-30','1992-04-01','722 Moss Bay Blvd.','Kirkland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anet has a BS degree in chemistry from Boston College (1984). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate in 1991 and promoted to sales representative in February 1992.',2 -,'http://accweb/emmployees/leverling.bmp'); -INSERT INTO Employees VALUES(null,'Peacock','Margaret','Sales Representative','Mrs.','1937-09-19','1993-05-03','4110 Old Redmond Rd.','Redmond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argaret holds a BA in English literature from Concordia College (1958) and an MA from the American Institute of Culinary Arts (1966). She was assigned to the London office temporarily from July through November 1992.',2 -,'http://accweb/emmployees/peacock.bmp'); -INSERT INTO Employees VALUES(null,'Buchanan','Steven','Sales Manager','Mr.','1955-03-04','1993-10-17','14 Garrett Hill','London',NULL,'SW1 8JR','UK','(71) 555-4848','3453',X'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','Steven Buchanan graduated from St. Andrews University, Scotland, with a BSC degree in 1976. Upon joining the company as a sales representative in 1992, he spent 6 months in an orientation program at the Seattle office and then returned to his permanent post in London. He was promoted to sales manager in March 1993. Mr. Buchanan has completed the courses "Successful Telemarketing" and "International Sales Management." He is fluent in French.',2 -,'http://accweb/emmployees/buchanan.bmp'); -INSERT INTO Employees VALUES(null,'Suyama','Michael','Sales Representative','Mr.','1963-07-02','1993-10-17','Coventry House -Miner Rd.','London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ichael is a graduate of Sussex University (MA, economics, 1983) and the University of California at Los Angeles (MBA, marketing, 1986). He has also taken the courses "Multi-Cultural Selling" and "Time Management for the Sales Professional." He is fluent in Japanese and can read and write French, Portuguese, and Spanish.',5 -,'http://accweb/emmployees/davolio.bmp'); -INSERT INTO Employees VALUES(null,'King','Robert','Sales Representative','Mr.','1960-05-29','1994-01-02','Edgeham Hollow -Winchester Way','London',NULL,'RG1 9SP','UK','(71) 555-5598','465',X'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','Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan in 1992, the year he joined the company. After completing a course entitled "Selling in Europe," he was transferred to the London office in March 1993.',5 -,'http://accweb/emmployees/davolio.bmp'); -INSERT INTO Employees VALUES(null,'Callahan','Laura','Inside Sales Coordinator','Ms.','1958-01-09','1994-03-05','4726 - 11th Ave. N.E.','Seattle','WA','98105','USA','(206) 555-1189','2344',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B79000100040000004B0000FFEE002641646F62650064C0000000010300150403060A0D00000DFB0000139900001E3F00002EAAFFDB00840003020202020203020203050303030505040303040506050505050506080607070707060808090A0A0A09080C0C0C0C0C0C0E0E0E0E0E10101010101010101010010304040606060C08080C120E0C0E1214101010101411101010101011111010101010101110101010101010101010101010101010101010101010101010101010FFC200110800AA00A003011100021101031101FFC400D500000202030101000000000000000000000506040701020308000100020301010000000000000000000000030401020500061000010401040103030402030000000000010002030411102112053120130630223241231415243433253511000102050106050206010501000000000100021121311203411020512213046171813242A11491B1C15272230530823343731512000103050101000000000000000000002140011100103050602061130100020201040105010101010100000001001121314110516171812091A1B1C1F0D1E130F1FFDA000C03010002110311000001F41675ABD5DBDBA0D941646807799D622BAC5D3F3E2EEAC3AB75E996B9D65F4E196904EB9258ED198F90E1779AE84A7A4D9496827DA78D5C1613C0CF4A179DD7A306EA4EAA52E384DE1FF0B62B7DFC610D031D1CAF422AB58B54A2873A0B5EAD6774A9333C4481B21C5C2E3BD5461EE573AC0BCE8214B36B9430558F5DEE67AD3E972B8C43896F5820BB50CC069CBD1F469B3BB50BF5A1B9959B981AFE3BF5AAEEBDB2B4E0DE108C0976D0157D52DD5F6EE5ED1554D9C59013E2470185B3D6F676631A049F5B9C185CE06C47457AE7075DCDB522AC784330551C5C55D585CA85A5400E249DB986733B4D6B5B1B9CD33D1EC5C77BAC76679B9A5D82D4119AE4C685F00DC4771AB32195716D66A252F4E6B88534A037F37A56E19DCDE95BF3B53D718CE4AB462DD3980358E7415C9311B2E48802C2118022FAC05C082BA66805799003D0CEE56AAFE964B2E5E9AAEB64FAEB034E65BBA4F73A716B46C12D79CDDDA544128E5445273AD8880FDD13A598A29859535F2648AEBDA090F613E571FAD3CF6A4DBF74E9076192A5A296A34A56354AA39BAEACC88AD8524058212803DF151A9EA20E992C53FEBFCCCA09A0B0A7AE7375E4DBB798974E0C715888C8B474081434F65ED47606EDA19FE74713DD4759107D51D045301A73AF55FAAF32C19BAB0D805CA2DAED3DDFBBA4C34541710B3740D9133B5D354D063BABF12AA54647C7740DABBD11C03AF89081D0425059D2F7651EAE6637EEEBDCFA25AF4A667D58A932F747D6D63B281A2AC29769317794A6D5A6C2510A09C0BF0256508C3DA50DF6C739AEBDD9EE9315BE320448EAD1D47A508B6372AF074D3D3D34E83A9984A5A696DC028B97A8D9D2D502FE31BEF47CED53901B4049E8AB4D30BB5359F5227A415768B0E4D906A837138F402D2C2DA5E50A98982AB68ABEAE1916F349E7FB229517A843871446ACD3DB8136777F3C656890B36BE510B209A5171598A8C308536AC632859785DD04A6D69EA1656A132BDC92A8FD30A64A3A7A95399B9778B96D9A36C7AE84D82B88BAB0E808ABDB906D2C25C4795C130568475C4388B22D730AFB1E734BD94CFCA0E243313F6F12CFF3DA41E0A863602DEB0EDDDA2EA6EAE15C462997E56E9412453806B59B3EB470CDF6FCBAAE001DDC9282C4CF18E3EC2C182C2885946644B6E2E15C4C5B48F3BD3B0CF8E9FA6BCEC2D08A1581B0E6FB6E735B2D3A3E254175B341D50C16837315E909148A216EF9E934B82655FBA768BE3A33DDA4D08486670CC66FB5D26B70E6D4E2574CAB3CCA2B0EEB070388A6BAEB20C7036D2C64C2C896F3F598C4D7EE8E9DC76B491312B37D96935BA326C494BA7F1E79C0D1489171725CA88694E6E9F11651DCF3C0EE2C4C67A731C5220BF578DAB2F33D8EB35B9B1CE455B28C96C0691F8054AA9DF7970543D72D0C2389C1DEF32953D8EEDE2DDAA4212029351F6A7FFFDA0008010100010502ED4FEC04EF1D1FFB034CE17C83E515A8AED3B512289C6691B2BFDDBB5E46D7998E6BB759DE271647D55CE0EBD69864648EB3518D918BB3B41E82778E94E24694F78637B7EE5BC3BAEC9B59BFC5B37DC7AEB55E08E1B2D9BB36971EDF69A10F7B9ED786FB9C4B97BAF91D0D97851D8041717109DE3AA6B9D3B06DD85B351767DB34C74FA9B1DF5FA9D1D2A105BE9E2953BA8629FDB07B5EBC34C1FB6A593F9088CAAC65334C4D5B2D9036486ED76DBE38413BC74508F6F3856A99ECE56FC76B5BEE7AAEA60EA6B39AA46ED2B36EDA909DF76BF0A4FADC66BB106D78B72F89D5E6B760CEE40A7A09FE3AF97D8EBAB424B3668ACC16FE4AE4E4F2A7DD588B99EC2AE549071B5DB1E4DAA3FC8EC1B80F58FB7051765045506B1D055CB1B62589D72B5586A46E4EF12298A92D18E6B0F6867616CC762D8F75BD77FB9D8C8E9258A5F6DD3C3ED86CCE0014D4F542D16B9B7B9196C5486BC176B5B6B948709DBA9F736AB92AB452F2ECA9C4F55D814314705CB0C7491085C65EE3D8863032814D2B1953DFAD5C75D6A3732F76D5FAF86BDCAD15A6586CB07617D95DB63E61D83A58FE41DC3CB3B5ED53ED0995C797CD520FE4DDEF23CF69D55593B0569AD8EECCF749234F12D4D44AECAAB833A7E33C5D8753176763E5262B35FE0F2587F4DDF5C7F3A727D8C9A48847F21879761D832EBA47CAD5D5D9F684CF31760DFF00ACEA1CF2E7881D2B1073535ED5C839472363553FC6BB1576A9FAC7DB3638D1A13C4D9E7FEB2095B5BB01D475DD875F3BAD7570C92C8E6B82124B59D19362C7C8E4228AEBA70C53C0D32FF6C876C876EBFB62E5D496DD9DCD686B1802EF2D82E8072963A71B94DD7CED16BABBAF23AA7446E451BE3B658D6D57607653FF0035952080A10C58733F732B92E684ABE2571ADEDA7B62213CEE860ECAC73757B8E69EBF8CAC2CE2AC3F02D380334E057EC1DF6C530E10D37F0929FED9867E7603430EB9556C3EAD99EDCB65FF0021BD2D6864ED8BE592FF00B51F40F962649678B6D5ADEE5824589F1059FDC1D6471F391D3DDB7245ED16CC58E95D4E690E9D7F47D9F6669FC2BAFAECB5D77491BEAC750D5FE4C5619DEFC6EACF341D4C35D72F611EC19621B7670AD4D94F712A67A823FDA82C185DCC2BF74B975BF1BED6DB4AEA2A9BBD93E5AF55AF7CD28ECA76B64EA2F8AB6A783FED2EF53F23E735DEDEAB26F91B5863EE8CF24752DD88ACC6F639CAC6C7DC731B5238ED502E9314FDA12747DCD47D52BAAB868762C31C8BBAEEA7ACBFBC92790D5EC2D425F27B2FECE1805EEC5F689A75E57C31D781099AC82E49EE4B2B94A7918F12BE9FBB5A5BCC6B4B5F8547B3B1591D3E23DA7F329F7949D3BA7E9A1A6CE96F5B8628E338B95415660E2E932C4D7E0CDD8FD92D8DDF3A2ECA077F7DFC5F21231B86E013A7C5DF345D8D91EE452568AF365EB58C4DB50B9B6A7E4ADCCD60B3718A6BEA4BC9F61CE4092B2B2B28951B793F0B3A7C562562CCD1A83B4E128B0D70B71A96C4D2D296BF63624B5D13FD96D67367B7D69891610815C965656540DC00165657C6DBC6AD82AE7E55FB39E054E39E6AD3F5D9577FB4A0BFB78A64E632C3641CA09C0475CA602E731BB01859595D0BBFC2B2EDAC9C9E9FABFE6C96EE5F62AFD94171B2C0245DD7575E66C0CB15448EC1ECA27432EA06544DE022FC5F26FA743FE9DAF13F9E97FF00126FC9FF00FACDFC7B3F16BC4DE7BAFF008B58BF351FFC727E7FFFDA00080102000105027EA3D0F9535AB1A35DB83A95235342F051F4044E1492E546DCA0405C82C84C2A245058D3088F500A6710BCA6EC9C34CE91BD39018D1D8C3771845870756A2516991CD67DC1B8D4E8C3BF2D9877281C86371A9D73811B17843779D4A282CED127F88FD613364F239B5B807428A2804C6E53149F8C41109A563D01672765C91D4A3A35C9C89CB5BE73B43927D1825670B256EB29C500B885808A6F871C3613F64878A67E207A0A61446FFA731A0457145A506AC2902032DFC9D85CB1A715C56116AC6C5613B6016535F85EE052698051D8571F7295A9A565656565724E40279DFD194135394438A7B8AC943D45C89DB46AC23AC68845C83D6426FA8F972E0805FA93A81BB765215B000AC201C06B95EE6EEC22564844FA00D004E28B73A46C4ED0A7380592B3A145AB884235EDE341A35613B676C8A63F43A124AF6D7138075E489CE8D4104764EC14C3A11A94E4C9113B047D1C5008375E280F4B93B4DD651D0041883106FD272250F464212207283FE9B91D70B0860AF6CA070BF243E93BCE802CE984C7908E0A679C7D2779D3F4287845350F3F43FFDA00080103000105026EA7D0C891D9674E3B11E86393B51A9D638D38A3BAE250051F1226A216750741A9D18DCA0DC27205674C27B1351DF4693976C5724353A35DC4193ED2ECEA104516A78D9A88C17BB3A8D71BB8E87666810434C293C33CC88FA8A29A0F1273A84163471C2728FF00294A6BB09C172F4158C2DD71D0681028A21613460BC646379761E8CE1610016015C776B7D034FD651BB374EFC9C727D0F081D879F6DD97657E8B9204699411D8F804EFC723D384173C26FDCE413E3E4BD921334F0BC99BF15114E62E2B8AE2B8A70C208951B742B92CAC68504FDD3581710B1E978D83501921613D6500869220500B8A014A7D40614402CE8E41A80D0A7268D068482742E0173250692B75C7086E868068743A03A4D2A6E84EC01286134278C807ED12B16422E0107E5028E8E44A1B824A09CDD0E8C6041CD45EDD3865706A21BA9453B4013C7A5E146E4F6E5637281F465128BB5CA28FA0A6A0EC2C85C501A145C8C88C9EA3E828045AB09A50F2414589C083C110B2B2B2B3A1F41434C681C8B97B8139B95BB51FA450D09580B08145B94149E397D31A1FC86A1391F1F43FFFDA0008010202063F02F70CB4ADF95088A48A2B66C6D3A666D48D39C2149E4070DFFFDA0008010302063F02F72EB42E9E122F151A677E64E586C833C702786FFFDA0008010101063F02DA4EE1ED713A2F35709A738C0926305D48411B440FEE58CE406E7C3EB3463E8A22814D5BEE07E89C1FA43E8B23633298EBE0FC7C93D419A996E387B5C4F82B1BB4EC2E3A4D43017738834094D1C38B18EA1F7E5333E485ADF128C4409D535E636DC10CDF1039608B59284118709ABB4421EA83BB6779840C7986A8B0BAB0FA21FBA7729EEB8E59E3344C6B298D741BEC1CD91FA21870B3CDDA94795110566495B21E68BE1E6542355FD82D0D934230A3537163ABC809C04E1241E38CD078A10770E4D9D3C861859C2A4ACFFE33B9CA7A5805ED0D9120F8A38B08F71893B97CE5FB502E374E11F02B9A9E154E77056E8EAA0784D0308437AFD7457643125705DC77780C7163686B9DC5DC376D6D4AE832767E68BCE89CDFA2682AF754EC8FD1486E745FAAE8BBE34F2471F72E8321CA3C511868F376EDCDA0D538B66AE2AFC73D50742E851BC53E3FEE853C94611142131EDF6BC5C22A0372D5065409943B8EE5B36D48112AEEDF2078F0DD30D57DA38FF12754E0E1CDAA7768F9384F1B93DD99F6FED1A98A2CC342EA6A50C3F2260B1F6B88DC5800BB727456621E655CE308D027BFBC23A6E94E935F77FE27B80DB6ADBEE611C137337E4145CE822CEDF05C2328A31EDAE8D2455D9BB2E4D609B9B10B6DF746504EC8E95D357698EB0595B8A70E09F88085822E7700ACC7F13545EE31F151DB35D4C42210E2D401C5D57E2E62CB880E4D3D8761F6FDC35965C45B67942AB333BA88E8BF92EE104E634A710DBF27C42EA64EF31C47C18C2E8784426B5D91AE6EA5A55B8DF6307FC61945FDA6E851E9CE1C6303C745D57F345D71F55DDF731B4F747D6D1A22FE28B98262A372011C79072945D8FDA4D13BB803DF205472E488F25D36D4D53DCE4D6E17F4C0887B0FC8F9A7761F681CDB4863F1526350B2773100BA126348121C174C4599346BE41DE49D8DE274215D58542BDC24B162D1AD01ADFD7610E94289DD2FC37398AC4C06A66831B40A254340AF46527551FB779870AAD3F02864C862E1A239FE7F32882A2049935135D3D543332EBBDB382936D87A95F9EEE1C7C62A2A2EAEA8AB61215281064A4A07665F21F9AF34D6704ECD9B9455838F8AC591BC68A390438A74F9CD3771F70CAE37072EDDAD12CF02D7688B4B0F9C15A488F8945AC1CCE4C192AE0091B08460BA5C4C4FA6C393350506A7C974BB71CA3DC49FCD7423EDF71E251BB99A6B15D463A92B4ED1F6D84DBFBCC820FF00F2190E57EAC6C82E8BBB583788AAC0DED0DCDC27963545AD9C24E69D175AC8478201ADA20E655B451067A8D908ECB539CDF742B4804D0251D517391C3869A95D66E12319A13B3B7ED808DEE98F0418D16812028AE27A4CFAAC8DBAFF00E4289B8FA97332543AA0A6E4EB1C38F2B6170A07A7747B96E6C6D9C63FA20EEE3B688718031F4471F7188B08AEAADED417FA14323C5A48261E0141DB02238AEE271CF879D8CE2DD54C941CFA26638090D983BA1F074FC91CC67183B194EE5240F927BDE231355FFD0C5DB9E9B08B5E9B92DBC3808B78146D73F1794D58E04B4522AF7620E26A4A835A0780929FED476961946855F6C6156F11428D9EDF89D9C8E96DFB7CA79FB7E5F36AE9E39077B9E7443230723B42B176FEEC594B840E8A0B99A09506B40D97BCAB41DDB6E30E1156C77464C7EDA3C7151022B1E2CD4C712E1C535F85B0B0DC020586AB968893B2AA47FD33917F5D382E66C095147276EEB4EA0D0ABF1641236BB94C884475011C4845E7B9E68484174BB9F42AEC7EDDFBB7228ECB6A17DCF76D01AFF6631587129DD1365D582713FDB886ADAFE0B9CF905F922C356EF41406E0DAEEE3372E0C5AF177041D839C0FFAE925293C49CC3221457B219051C2AAC708E91423A95E0777C5454368DA3FF477E88A67F1417A23E6BD421B8373FFDA0008010103013F210B430407E0478E8816EA1C21B201EB9898120CB9F26271019799AD88F779D1339C254D7A3C405D0AE1A88B2770C4B2CDA01B58BA0CBF32E8F6FDAC7E201E966778AC137609A00C13F88EEF1C1260F7CDCCB98C410403DEE4B89A4B2AF8866DE3AC2DB58E3EFC0FF422E4E9C86293C13D7B0712AA1416B8E7EF379814EE4D1F12B91B37DB51E35F82127872FC5FE52A8C64E2CF24B711055436558ABB1FD87B4A684E7CCB441E930AD1510103C3344324CCE039EEBA9AEF607576C041605DB225C1B1B8611576C66BD40AEC3BA38CC80396CC3332A96C35A396651F0021A998F73DC6540EAEAD6A3C956DB86CA6A333B0DBDCC01A8FBD4BA87A560F2C44326EE3B8E2E13ED86C12AFC2F32BAEA73BC1F699A651F994284301BE8946FCF92511B0018B4C44EFBA362CD4069996CBC84770B04C6B0554BC451803A045DFA7DD964F9F2BB711C4F0A5830FB450730A01512DF32507B8E2D2EDD61FFCCC0031A3BB7C4B52B1C7F50DD06FED385F5105967CCA6073CC5CFC944BFD2F89B180C1E625A5BB9E784ACD84B1A5423F60FB8DB986512DCA1CEA3CED2F65E2E70EEC3DFCC04163B8CA9FDA569DF9F711C33CDAD0F64B556857C8C016FC21752C7556A668A3C6226DF4DCA2CCC26AD85AAC1EFEA57D2DDB50E71349840AE2661147885FBC06D81758766298E35DC3329E47AF9A952C96819381DA50869AED4AB940F556A2F610D07FEC6744CFD2432D5C986C0F679F98D84B249558E3315D8B2EA2C8877626A3A250273B945D41C72BDA24F3A24F79494F41FC22725E4B0CB186ED7EC73034B3C3DC33CF78E5C6E7314AAE08648C26FC368812F13DF51D427945A1C44DCBCE0D3986DC3B0CC178E231DA6EAB00038AD5CD299850BBD809F30F5B139441ACC5A872FC4DDEDF11EE32DAC93F27346A1680FF0036398BEFED2079610E28C1CD779899B6A5B2BEC8C332E5ECA1011605610A03DB98C4DAB8E59CA1C92A983764EEC96AC2E197435154B9DE1708D72006F108D01BAA43AD536C5B0A4BDD1E605A9822298BA3C7696BBC0CCA8B4CF9731C37907541450ED3C1322D7970C1A805AB67B9411B2CE489B10E2F56E8977E8AFBE2D408EE896BBC1C545D88D5E652FF00F21FFAA56D8E63BACD64A8C0D050461D110A7B24A825E724B17703CC0E06D7C238C3EED1FCA826B82BAA8E82C63B86B30CDC5563CE200E4CD78712B071BFF9446D3C2958F998C7CD66CAE263174816F89683829514C48358F3DEA5D5B75285E65D38BE21F74BA9B3BACE23BE882BCCDAD21AC1A2FF008278E40F6C2E11FE14B05AE7C9FF00040DDDAC9D3FF252EA2818A66AF395F02DFEA08CBE8516883E98A4FC98E6A0505851B0929E9A550FDA0A801DB2BE22181D81C0F2711043EFB4EFC61D67269E3482E3B6A0FC05E5FB08B818B0941DDA3D108B9361F83C132A8147B3BFB879296A3AF4F3D0CB423DE37E595A2F780BFB8444354A95893C3AAC33A653E3C88BC930CBC5A82501AB858578593E106D2A7CDDA0591B788E690E77887B4713E6CE9567E660056BB6D258B4CE58AE42C1FE883CB1C2BE816956CD532C0DE1A9863C13C602BB7A372E48E4D0F91155821182E1899C39D65DBEE63F29656EF8C1866AA3015BE1EE6BD3C1232E23A03F5169842CE4A88E018AD73337B964B8D2D2E5FABF8B998ACF988B4A25DCF460BA38229F6618988612CD597644C8CDA0DC681CB5262E3B4B676F12C8BE9B38B30DAE2AEF4F552D732EEAAA711F73CDA42472F1D22E704A675A84A350468842BC40FE574DDCD47635DCAB0F817C8CDA9C1F031DD4C2394D5F4ACDB8AB27669F88EABBEEB1FECADA59E5AE7DCDACC79D701562A7CDBA8B869E9B539B2874352FBCFBC2137F32E7736A51694D3637654E2A165786316E80B2DDDF85308AFB79F111DF907C107B01079AE25E53F4F72D3F72343F7E6315BC170B3C3E23B793ED12BB99C669D37E9A191E11858794CEEE2F908DB97A79A43C9DCACBDB3FAD4A8F88B9368377BDCEF005A51298F8021732929681C333BDAE18CE653D57A578F9D4B331860BCE0E99669E664CD5AB9A6E0B3F21FA952C15671F98505B0E99E7FE236F1A1E759A56B3E0CE0859965656E5CBE93465078A528CB247A0FD4AD7CCB59741DC3EF0FF00628736555BC1EF3C17D6D76A62D6DC1FE9F01FE9160AD8703CCEFC067DC46FAE2CB631151CC3BDDB7099A110633F4FF5367CCDFD3EFD2EAC347B74AD70FD5FA43B3A5B27FFDA0008010203013F21E8228745A8EBF963B312215D10574A8333B7314E09431DF43A2862E5DC6BA2065CC68992A6998C2235328450272CD47A12A628AD3AE8C1888CC91505BE9E53832E6E3C415C6C7411D082E09338D208FB254F31224134F465BA3F7C0953E89D64CD62A5C50211D351F47A8F338A6F14BCD43A5C5BE84165316C8AA2C40C5F5894A60D3D2A09792DC3C44C3A1147520573B947A1890412EA39A8B8FCC72A8AA09CA583E7E8BA86EEA3A08231A6C999D1C3963DD8F7A1A82A301DE542E1E515DD9511EA2C9C0C723584C74928CD4C98267A218886580E25ACC4CB7B6C285442A7E920C65AC5BCCD5E822B660D8880BE27994669CB1BD2CD45ACFD0291E81CBFA089D1948CB2F4DA80DBA4B1D6E5C7A4E43D047AD5920CCCF70EE89911851899BE3E94C46E11B2D52D61D9D1584B3A06AA205B8B331BCA03F42485722588C5847562BB84581D20E9649B12A53965931F4114F04FBFDCC1A832798BEFA0AEA3542831C20805892ECC08BC1AA7A6928BB8845D40ECEA63A659C425C30C4E814410CC17187493E845330630D3D18820C230EA4A8CA5FD46B0592AEA50808BE9E408F4A9503E979E829718D4A4863A822E32530654A952BEA59E83A6B7153D494457302CFF00E918742D16308C70707FF34C21FF00CD99FA3FFFDA0008010303013F21FADC10443661771824CF12E1613B9D1B26A1FA41728DC4818AA588309E302B137308855C5ACE0897F505ACCCEA4903AB15153313F131073D10D364A5FD070268B71A9DD2E41831470E264E8F6A8B74BDD07E86539689B9823B8420E95506E394E28645170CAC4A6075C1B99E602C455987D06B0E9B321DA592C4AC1350FA0262CC2CE2288410FA32E8405EE6825E0C290EB5113916F44418525F1C6882F683D55708E33866353A40F51A6721D1679CDC1990B8151730DC5730AEA6ECA245969B874A952A03D3BC0709B11D4C25CB1E8AFCF4CC5C1D57A70CEC7D3F4BAAA88B88A1DD00C22A543A71CE7400C4684AEB52E72FE9868E8C265D63162639C8C4A13B93047E860066D4ACB2667D06A652A995C413CCBE47A6E23A902C331B8B28C199423994B08A2C7095B50AE815BCC6556E8A079663ED1E1938B4FD4ED2BAADE52241D1CA264F79577291388C16546F5294D68F68E60661C80CA389D9F40E95143388C7446A0C7A734C59826CDF4D7FF0CD70E850747A1B22A664D7306DC55F4822E89C460AF4B9717E96B0598A613B90764B51D37281094B2290FA12FA997F4688A0D1D1F0CB211A85B4EA563D2E5CBEB72FE82BC10AE2CE8845886DCB574BE951FA78FA839FA38FAD9FFFDA000C0301000211031100001067F9AF6EF42D8FE0DBBDC75891A42B9B68FBF35AA4EFDB8B42A616FF009D78541737614C9563A81470C8A552A2EFFC04D4B6CF7153EC9396BCA0638011EEC51336A42771163C9BCE318BE201C9781E4CA0B97FBD48510505FDC4512FA08387FAA210366B785DDDD4074D3DAF4716330824F2E084923C5B46D6CDB3A26DF4FBF1C3F026E5A2F1A992770603CE074A9C1733580FFF007F5210F2B8B4DA2DEC414A5797B1302F112EFFDA0008010103013F10CD1CA344C9287286F17F32F9BC470E032AE00202992041BB174E32FDB32BE8102ADF0A51AF11B305D228B440579E7D12A1646D45AC8410BADF10FE50D2A96D40C088BBD545765E9396FD4F2F12B2D679CC46CB9AF1973329B0F29E34D9CCA8CAECA842ACE1B401F70D42A0D023C45D0217600B158E3873E2E0653049698900145FA6675A0E47397043BC74B8387041189A6A1CB42DA963B472172A99C3A944BE5CD0C11ACAD19EF099290EC253C10BAC0085AD5A15BAB8CBDC5AD90F705971F861E718E7051431062C948D77A3C8B1786951792F733C5C31DBB94ABED507A299A3C5EDEA2BA9A02C95C877169801583A5D9E77A8519AF7C9518CDD38FEABAADA36771847CCB9D6F3C4D1306C7D2E73EDE20B7622F6374244A47960E02AC328A0439727606D0A7BD778CF021C4652AD6211050B4C22E7923EF3D8A5159C2D8C8871CEF576AA6EE2132EFD639BEF9FE4002A00ADF01BA22951098A7093AB5371AA56E7C0547DE51CD010082AEAAE0064765E51FB9A65E900EAED02BB26532DA806605F266578CA421C880132C0FA53F507C71069AD9400AA2BD1B866E39975858EC370223619A2D33E3F28EAA99C14A3F7427A5264FBC73AC095C309A018EC44331A7BA43C8BA96A4A4B650500F9959ABD4DE010A2A2B9A003841B2E0284C0F61BAF75292B1672F2B2ADAE99DC95C47B10B12F5294412A25E6A2FEF02559BAE01C9F7B82DA15AB80F981362ED34C8E43286597032232EF5CC6BA2ADFBCA76F96C9FF00B2CDCB9792DAF8E11A8B1A6589951F70C70BD8B56F97837093C15FE502A2816668FDDAC512B0D8D1031B8AE40AC3DA65591C2C6862D3C46D134F0633702B5C945B3B31C926B79B6F8D41AB59C38D8D5DB52ACCC600A93B0628895512CC114E62B2E81BF12BDC5BFAF3DDAE5A90B0B9B24569B152EEC5C12A006B1CD9EDE0180B5423E4D0DC420A3B0A7A4E688E6FAE11A93C3E609CD76962646BC908546CA2C3B4B66D08A5D6638C50F23070DC407B00A1C57CAC0F934361BD5F95C4D894AE7D86922BD895049430339650B6F657E25C404F0A38ED3BC47980BB0BA81BC40141DA6EBCCB4B06D360C3DC6B4EA58BA5D39F44C5079E264422DE030AEFE635ED68D3419718B83A1CC6CF6B8E32AEFB874ED7446634406CD7A8E588507CA41C53F32B0AE8578C779788858A556B019E65A3FAD9A96E5878523F80B0D045A59DA3C40A0E6D550EF88E18C218282D1122B0CB0EFC96217F700179698F573454429BA52755CC6888AF0D26432E0B29283A65283DF6894F40B1E002BB45ABE0E2B55A2735F1007D00B62C96DBBC4420B8D881442216DB7E4A88D18805CCA5D7C53B730903A9147377983DDECE50F6122D7AAF4B0A04F0290B0DD6B5A924828CA34EB220ACEC0390BC5C2A80026017454CCDA2BA9E9CAD04D98048E954929EA54C1AF817461F998D4939038B6BE561883F5F0780E16662A86DCA64CD0B61C9CF92A04FB371F430E8907E0457C4C0C731CC3CAB40BC8A7A8A419FDA041EBEF111D85A0486FAE834D63F5986041406C57FE99A2A1081929ED834000AEB2EBC5CE2302190837416D15128103CD9631921E04499D419CADC8BF511C87B8D58E2CE4B2E6200AD30C2631A7EE211466911BA4AB7B3B7CC4E0E048A6103A943C2B120ED09EA52094AD08B672E6EA570A28D1B128CBBF5EE58E3895FDA2745D2CBA08AB80D03D81AF883F2FB21398635035A6BF7193E16098709472065D4142985C01511810363AFCCA048E04ABBF7B61BC8CECA2DD117AF6399B9B2240628D7F4BFD9949ADD9CB396F81DA5E06ECA8594C85B8C32B818CCB7C15DEA8B95746AC2DAB50D4BA6926020AEDCDD9DFD47A10D31DE235F88FEE35A917B043DE2C5CABC9452F30EC0C7BC580F1DE27CC0F33BA832307C4BB9BA0CCBC76943FD51C682B0AE99738CC0A7360CBDE7E63F67302D97702B34470A0F71732E98F117C2DB039BC915EC86BB86627AA5A77610FD4392EE5BE6D6088DA3206CEF18B6C556EC0476BBE5965CA8A576D838CAA941D721601A4314EC94654688159B450626188525A38132BDCFDC8AA821E190565A2AA19218A73C09658EC88945C3016BB3B8178345976287308C981B5D64C7B8C32DC4C441ADC68F659C059C5F6258FB6D56DAF02DC6770CDC820BED6B2F0D7E42EA55C9A6605B463DB0B7158430A95A0AC1464176936955D80FDE3A079AFA668BA1C334C12361D9C06EF398D9762C3E05233CE1BF8941484B0D69616F965D5A822EEBC2CC830BEAD3625F3517C048657C227EE28388C115E6E8086CF70B18ADB6911534E9EF943C98C3B29959798D5E8596EA8E5F13030F8721E7DDC756DBBB3182916A76C952A5E85872443BB68AE2E3F4A5636E642AFB4475394BCB977185D127273FD188E05887D4730C1FE85B4B6FE2882F3C7169AC05B1681853D0A70E5F31300D8569365AE38A63A8C593043563A94DAD01D0684B061C938ADB72D5A2B92BBC42B210EE22E11BA97B25C29BBB8BD311612F568A8EC49856D2FB378968A37558B3B7E25E657DB0FE18DB56A118AB0BEC768E1AF421402E2AAA943BC20C9652E935AB88A8E517A4943D6800535DAC8D8A3D7B66DFE195D97E01C49C5D5661BC128A072864FB46477CEDC390EF1E6EC4AEC188DA2B3C450D33CAA6200BA6A1E900B69560959AB825FCCD422A8C936F733B1CDE2A54DA4028FC19F98FD880F2240957D971AB89D35B9DD135EA5BDD3445597B4849FA8805186959CC434BDBB7EE4ECD8F920F4E222092A680B8ABA1459CA6C455F330C532F9F4DABC6D76253230033514BB2D919A9641DF4012B24318800C63ED075B219DCC5ED2E50A011A5AED31534464BC7925FE53DBBBD888D4948B67F1886B0AB6A4A6137278B9949CF10BDB8263621B17DCBA87D2A82D8B2D3EF9967CA14752EE85D0811687AF6710ED538F2D81AF3B2260B80B154BAB45E584603B565CFB26A05F270695C96D2698EE7B6DAC621CA156CA0A15B08EF022D8617159CCB8281B0343D66341381568CEC2FBE5885972E52E1012DB8975CA0F8BB7D10EE9D64F5D6792F4D4DA96A664AE1E20D99A8DC15CF32FF00E2A9F5994715734872870F9253F6F02BD02A0E9FA4071F62B5DAABAE799688C9820BA4BB4EF03D8B82DB56304139A644A339898155B9A7A8B4DC2ECC31B5CAC59D9FB8BD2BB9385DFB84989728FEA2A8526DE710F2FEEFA7CB2D190015C72317C7DD2D4A06EAB80A055D19C453CD407271CED77B421D9C53938C9FF0061952B44E6BBF32C055E0ED0E7CCA80A7491594C7098F31B73391573E083A0008023B9E699B7281DC48AF1FA4B1C4439B116556F7C67B0F70686853343A0AECBC3175965943DAC9E9D3195C25715FDB8E88229ED165A51E062F3D39486AD9117D47C20023B60FE2058712EF9A8EB6439A0BCC1019541E581FF00C6D4EFF36FF254CEA709BCFC697E37E93F47F44FF17B47F8BC13F37FB9F8C7EA7FB1DE7FB3CCFF0063B4FCFF00DA3CC37399FB3FA7A3D5E9FDB3FD3D4FFFDA0008010203013F10DFAA848ACE822D8DBE5FF88965732956E10CB18688C150AE4CCAD5E203A57F66B7946AE312CC6C398F96CB9D3697997914AE22509290B270445995F5A8F65174CC9E4B2F9E8C201EF14D3731371A2862976876012655F1B22BE82651084B956A16C23C3B3FA9B0656A8384F662D05C5BD44A5AD770A55ED802D22E031C3BFF0091146619E1228F55ECC03CCA92AEC450BCA645CA974A6046D93989AE049ADDCB49DE503B88ACEF090EFD012A33AB08DC40CAB0A4D04D0B205C48E3CC736E7039868B28492DA3447996DD4A56597BA2849A18D6E2D7923EA435DAE36EFCC6AC712D146D6214B7398B888DC6EAF98275F1FF00660AE939969A2D5463714BE820B60F8A6E0A870772BD10B788D30CB099A254BBBE2302B114AD1C2111BEFD80EF0EED83E0805C6AE0C2825FF7C458306245C672A8354EA2FA2EE3E3180B66482DABE995B1058BCCA80979CA0913537B1E3BC4A9DF108C0A82C81022D12BA930AD30F7198F4234A5880CF349A961918F30FDA3F4DB11D97C4401EC4C0F145478AA083812C261E95202009AEDC072DC29393629DF3B8A98EEF730C07CC070FD4D60F86CF704B0468350141CCB9776FF00F9D100F282075B5804B1A87004B96E89653998FA946A5D399C24A91A84150AB4B94A89E077F133D406F171BB2DDFC12FF0B972E5BA1A370C991ED8ED9980CA18B1518583CF4D974FFC8E19DE5EC76F6C43B74B615C083C087D1722220FA12A39198BE08E94524BE0B6663B4768F1B7F539B0E8FEC4D7BD41056195037DA1D2F1886672F8834638F341702A22596267D4B0CBC96740C9CD2C23ABFBCA8AE25F41069F1CB4ADF4D2A61B6CC9AFF6F8982834F08D8363BC0BAE81F98CBE07696386A0F90C7B154AB1920A745C41189C07897CF1FF0025CC11F08C18D840E9B85845BC4A6DC0877150B84177089EC9EA0ACDEA63B047B2DCACF48C128197019ADCA55EFCEA2217B96CBA1D3D1C3A671F5D41BAE4A7119893B932831446B8EF430C4D26C217006E0E225C3A01F29C04F5AA3A6B52A62678658AC5789DFE880095D14E868EA1D1B8C51B954CC21A60A0DE3ED0B605618AC7DF4A8900B1B4AC608AEB5D3362CCDA04136416A5E0BB79D7DE3C497722F32E65CC43A54A8E20461D1E5378332C2E26E59719E950071C8EA236460A40195D565DF4A8426F9B4DE7EE9A4DDFDD475D1B1D2EDEBE913886A7FFDA0008010303013F10DBA3D232E1997707B41B44F092E8202ED8073A8E19622EE98FB9FE4BC4E1116C46FED896C5508C318EA88AAC164047EA00CEE0C378876459AD88E13550C5B533951D67DC1077965ACCD2831D1E8656689329DE316DD4A75013313289052E09A9640AAD426EB5151CAA8D5E4D41BC9C7E48FA338A2B06E16E5386708E5D83A17CC90929990452FC4A1332EC2C17D91092591C6E1E8C691C4328D04B5776249650C5D0B54A96CA96F336A64A30460DADCC17299906704025448DA1C4381E6521B616EC8486E0CC388068C0F305788731017B54669C1FEA990AB1E20EC68C144495122AE25AD8C23C332EC78CCB3315388A883101704D3076F8884EA251AAFCC1C53370A9B232D112542D821DDD8B2E485AB6AA1186C8A8138422DB071DE2A6454A8E4768AF9D448B14CA0ED22A2B72A6E3D2A1961234788CCEC101CD5C62B52FF3AD50B309AA12830C18663B279E9F7E62A7265B92FF006654BCBC5F41716A00F387D116B3A214ACA26CB9A71E182EC6A31808FE3E25B55052C9B6989804AB9B5710555FD3F62C6DABB961474BD48C7B84B84031021C6A5C4A1EA57CBC47946D7CD4C215FB99C7823152A31F1897E1E1D1D110C4B80DA66C40D419947B4C02E2E60C071196F68656F2A412BA8B2A3D768868F7C4ADABA88106C25AC0A9809C90D605962D7D398261704472352966EA6DD36A8851A3BB2F39622834A4CF3F7944DA02A2036E9181D1BA5388685E600774A0B96DBFB632153680CB825F37B8BD07F09606ADE228BAB34916A2C35DE291773C54BD69D432D6A0BFE4C419DC62328463888E40C87FBEF308AA8519845614065A62005A39F333DF796B2AA8048C05CBA4E7BC543039A221BAAC502828973117532C1582EAE62B75029AEA9DA2CADA7300BEDDA3AC237048E1EF0EE21A58ABCC710F32810E0CC9B60CC5D55CBC9925C598B09465FE7112CEC7FEC5702FBCBAB94EE6082423980D318C462D838E973F12F8F3D162F40CCCB22DA45D0B86A157300204645C7D4DF93A014732996978F41E65C518CAA086AA399CB6257C1305B6F50150CBBA0F831971719717A59CA39E8C3030432E5E322CBC137CC471AE81175934C58183DC54BA160A3051563A2C631D26B19B3D13846729AF46EFA1C4E23BEAFFD900','Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French.',2 -,'http://accweb/emmployees/davolio.bmp'); -INSERT INTO Employees VALUES(null,'Dodsworth','Anne','Sales Representative','Ms.','1966-01-27','1994-11-15','7 Houndstooth Rd.','London',NULL,'WG2 7LT','UK','(71) 555-4444','452',X'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','Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German.',5 -,'http://accweb/emmployees/davolio.bmp'); --- -SELECT * FROM [Employees]; --- --- EmployeeTerritories -DROP TABLE IF EXISTS [EmployeeTerritories]; -CREATE TABLE [EmployeeTerritories]( - [EmployeeID]INTEGER NOT NULL, - [TerritoryID]TEXT NOT NULL, - PRIMARY KEY ("EmployeeID","TerritoryID"), - FOREIGN KEY ([EmployeeID]) REFERENCES [Employees] ([EmployeeID]) - ON DELETE NO ACTION ON UPDATE NO ACTION, - FOREIGN KEY ([TerritoryID]) REFERENCES [Territories] ([TerritoryID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(1, '06897'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(1, '19713'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '01581'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '01730'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '01833'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '02116'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '02139'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '02184'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(2, '40222'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(3, '30346'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(3, '31406'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(3, '32859'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(3, '33607'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(4, '20852'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(4, '27403'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(4, '27511'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '02903'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '07960'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '08837'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '10019'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '10038'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '11747'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(5, '14450'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(6, '85014'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(6, '85251'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(6, '98004'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(6, '98052'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(6, '98104'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '60179'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '60601'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '80202'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '80909'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '90405'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '94025'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '94105'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '95008'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '95054'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(7, '95060'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(8, '19428'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(8, '44122'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(8, '45839'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(8, '53404'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '03049'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '03801'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '48075'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '48084'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '48304'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '55113'); -INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) -VALUES(9, '55439'); -SELECT * FROM [EmployeeTerritories]; ---[Order Details] -DROP TABLE IF EXISTS[Order Details]; -CREATE TABLE [Order Details]( - [OrderID]INTEGER NOT NULL, - [ProductID]INTEGER NOT NULL, - [UnitPrice]NUMERIC NOT NULL DEFAULT 0, - [Quantity]INTEGER NOT NULL DEFAULT 1, - [Discount]REAL NOT NULL DEFAULT 0, - PRIMARY KEY ("OrderID","ProductID"), - CHECK ([Discount]>=(0) AND [Discount]<=(1)), - CHECK ([Quantity]>(0)), - CHECK ([UnitPrice]>=(0)), - FOREIGN KEY ([OrderID]) REFERENCES [Orders] ([OrderID]) - ON DELETE NO ACTION ON UPDATE NO ACTION, - FOREIGN KEY ([ProductID]) REFERENCES [Products] ([ProductID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10248, 11, 14, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10248, 42, 9.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10248, 72, 34.8, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10249, 14, 18.6, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10249, 51, 42.4, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10250, 41, 7.7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10250, 51, 42.4, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10250, 65, 16.8, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10251, 22, 16.8, 6, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10251, 57, 15.6, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10251, 65, 16.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10252, 20, 64.8, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10252, 33, 2, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10252, 60, 27.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10253, 31, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10253, 39, 14.4, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10253, 49, 16, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10254, 24, 3.6, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10254, 55, 19.2, 21, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10254, 74, 8, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10255, 2, 15.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10255, 16, 13.9, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10255, 36, 15.2, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10255, 59, 44, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10256, 53, 26.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10256, 77, 10.4, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10257, 27, 35.1, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10257, 39, 14.4, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10257, 77, 10.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10258, 2, 15.2, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10258, 5, 17, 65, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10258, 32, 25.6, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10259, 21, 8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10259, 37, 20.8, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10260, 41, 7.7, 16, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10260, 57, 15.6, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10260, 62, 39.4, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10260, 70, 12, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10261, 21, 8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10261, 35, 14.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10262, 5, 17, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10262, 7, 24, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10262, 56, 30.4, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10263, 16, 13.9, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10263, 24, 3.6, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10263, 30, 20.7, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10263, 74, 8, 36, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10264, 2, 15.2, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10264, 41, 7.7, 25, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10265, 17, 31.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10265, 70, 12, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10266, 12, 30.4, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10267, 40, 14.7, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10267, 59, 44, 70, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10267, 76, 14.4, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10268, 29, 99, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10268, 72, 27.8, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10269, 33, 2, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10269, 72, 27.8, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10270, 36, 15.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10270, 43, 36.8, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10271, 33, 2, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10272, 20, 64.8, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10272, 31, 10, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10272, 72, 27.8, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10273, 10, 24.8, 24, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10273, 31, 10, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10273, 33, 2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10273, 40, 14.7, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10273, 76, 14.4, 33, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10274, 71, 17.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10274, 72, 27.8, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10275, 24, 3.6, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10275, 59, 44, 6, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10276, 10, 24.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10276, 13, 4.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10277, 28, 36.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10277, 62, 39.4, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10278, 44, 15.5, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10278, 59, 44, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10278, 63, 35.1, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10278, 73, 12, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10279, 17, 31.2, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10280, 24, 3.6, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10280, 55, 19.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10280, 75, 6.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10281, 19, 7.3, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10281, 24, 3.6, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10281, 35, 14.4, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10282, 30, 20.7, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10282, 57, 15.6, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10283, 15, 12.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10283, 19, 7.3, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10283, 60, 27.2, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10283, 72, 27.8, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10284, 27, 35.1, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10284, 44, 15.5, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10284, 60, 27.2, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10284, 67, 11.2, 5, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10285, 1, 14.4, 45, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10285, 40, 14.7, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10285, 53, 26.2, 36, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10286, 35, 14.4, 100, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10286, 62, 39.4, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10287, 16, 13.9, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10287, 34, 11.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10287, 46, 9.6, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10288, 54, 5.9, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10288, 68, 10, 3, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10289, 3, 8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10289, 64, 26.6, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10290, 5, 17, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10290, 29, 99, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10290, 49, 16, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10290, 77, 10.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10291, 13, 4.8, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10291, 44, 15.5, 24, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10291, 51, 42.4, 2, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10292, 20, 64.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10293, 18, 50, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10293, 24, 3.6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10293, 63, 35.1, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10293, 75, 6.2, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10294, 1, 14.4, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10294, 17, 31.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10294, 43, 36.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10294, 60, 27.2, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10294, 75, 6.2, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10295, 56, 30.4, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10296, 11, 16.8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10296, 16, 13.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10296, 69, 28.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10297, 39, 14.4, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10297, 72, 27.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10298, 2, 15.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10298, 36, 15.2, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10298, 59, 44, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10298, 62, 39.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10299, 19, 7.3, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10299, 70, 12, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10300, 66, 13.6, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10300, 68, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10301, 40, 14.7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10301, 56, 30.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10302, 17, 31.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10302, 28, 36.4, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10302, 43, 36.8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10303, 40, 14.7, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10303, 65, 16.8, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10303, 68, 10, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10304, 49, 16, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10304, 59, 44, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10304, 71, 17.2, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10305, 18, 50, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10305, 29, 99, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10305, 39, 14.4, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10306, 30, 20.7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10306, 53, 26.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10306, 54, 5.9, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10307, 62, 39.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10307, 68, 10, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10308, 69, 28.8, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10308, 70, 12, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10309, 4, 17.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10309, 6, 20, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10309, 42, 11.2, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10309, 43, 36.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10309, 71, 17.2, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10310, 16, 13.9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10310, 62, 39.4, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10311, 42, 11.2, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10311, 69, 28.8, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10312, 28, 36.4, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10312, 43, 36.8, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10312, 53, 26.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10312, 75, 6.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10313, 36, 15.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10314, 32, 25.6, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10314, 58, 10.6, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10314, 62, 39.4, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10315, 34, 11.2, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10315, 70, 12, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10316, 41, 7.7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10316, 62, 39.4, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10317, 1, 14.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10318, 41, 7.7, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10318, 76, 14.4, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10319, 17, 31.2, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10319, 28, 36.4, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10319, 76, 14.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10320, 71, 17.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10321, 35, 14.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10322, 52, 5.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10323, 15, 12.4, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10323, 25, 11.2, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10323, 39, 14.4, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10324, 16, 13.9, 21, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10324, 35, 14.4, 70, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10324, 46, 9.6, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10324, 59, 44, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10324, 63, 35.1, 80, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10325, 6, 20, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10325, 13, 4.8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10325, 14, 18.6, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10325, 31, 10, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10325, 72, 27.8, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10326, 4, 17.6, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10326, 57, 15.6, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10326, 75, 6.2, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10327, 2, 15.2, 25, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10327, 11, 16.8, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10327, 30, 20.7, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10327, 58, 10.6, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10328, 59, 44, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10328, 65, 16.8, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10328, 68, 10, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10329, 19, 7.3, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10329, 30, 20.7, 8, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10329, 38, 210.8, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10329, 56, 30.4, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10330, 26, 24.9, 50, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10330, 72, 27.8, 25, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10331, 54, 5.9, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10332, 18, 50, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10332, 42, 11.2, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10332, 47, 7.6, 16, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10333, 14, 18.6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10333, 21, 8, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10333, 71, 17.2, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10334, 52, 5.6, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10334, 68, 10, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10335, 2, 15.2, 7, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10335, 31, 10, 25, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10335, 32, 25.6, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10335, 51, 42.4, 48, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10336, 4, 17.6, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10337, 23, 7.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10337, 26, 24.9, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10337, 36, 15.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10337, 37, 20.8, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10337, 72, 27.8, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10338, 17, 31.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10338, 30, 20.7, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10339, 4, 17.6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10339, 17, 31.2, 70, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10339, 62, 39.4, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10340, 18, 50, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10340, 41, 7.7, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10340, 43, 36.8, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10341, 33, 2, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10341, 59, 44, 9, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10342, 2, 15.2, 24, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10342, 31, 10, 56, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10342, 36, 15.2, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10342, 55, 19.2, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10343, 64, 26.6, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10343, 68, 10, 4, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10343, 76, 14.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10344, 4, 17.6, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10344, 8, 32, 70, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10345, 8, 32, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10345, 19, 7.3, 80, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10345, 42, 11.2, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10346, 17, 31.2, 36, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10346, 56, 30.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10347, 25, 11.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10347, 39, 14.4, 50, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10347, 40, 14.7, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10347, 75, 6.2, 6, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10348, 1, 14.4, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10348, 23, 7.2, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10349, 54, 5.9, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10350, 50, 13, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10350, 69, 28.8, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10351, 38, 210.8, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10351, 41, 7.7, 13, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10351, 44, 15.5, 77, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10351, 65, 16.8, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10352, 24, 3.6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10352, 54, 5.9, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10353, 11, 16.8, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10353, 38, 210.8, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10354, 1, 14.4, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10354, 29, 99, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10355, 24, 3.6, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10355, 57, 15.6, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10356, 31, 10, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10356, 55, 19.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10356, 69, 28.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10357, 10, 24.8, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10357, 26, 24.9, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10357, 60, 27.2, 8, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10358, 24, 3.6, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10358, 34, 11.2, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10358, 36, 15.2, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10359, 16, 13.9, 56, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10359, 31, 10, 70, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10359, 60, 27.2, 80, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10360, 28, 36.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10360, 29, 99, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10360, 38, 210.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10360, 49, 16, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10360, 54, 5.9, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10361, 39, 14.4, 54, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10361, 60, 27.2, 55, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10362, 25, 11.2, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10362, 51, 42.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10362, 54, 5.9, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10363, 31, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10363, 75, 6.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10363, 76, 14.4, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10364, 69, 28.8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10364, 71, 17.2, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10365, 11, 16.8, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10366, 65, 16.8, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10366, 77, 10.4, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10367, 34, 11.2, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10367, 54, 5.9, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10367, 65, 16.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10367, 77, 10.4, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10368, 21, 8, 5, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10368, 28, 36.4, 13, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10368, 57, 15.6, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10368, 64, 26.6, 35, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10369, 29, 99, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10369, 56, 30.4, 18, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10370, 1, 14.4, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10370, 64, 26.6, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10370, 74, 8, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10371, 36, 15.2, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10372, 20, 64.8, 12, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10372, 38, 210.8, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10372, 60, 27.2, 70, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10372, 72, 27.8, 42, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10373, 58, 10.6, 80, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10373, 71, 17.2, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10374, 31, 10, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10374, 58, 10.6, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10375, 14, 18.6, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10375, 54, 5.9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10376, 31, 10, 42, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10377, 28, 36.4, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10377, 39, 14.4, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10378, 71, 17.2, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10379, 41, 7.7, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10379, 63, 35.1, 16, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10379, 65, 16.8, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10380, 30, 20.7, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10380, 53, 26.2, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10380, 60, 27.2, 6, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10380, 70, 12, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10381, 74, 8, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10382, 5, 17, 32, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10382, 18, 50, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10382, 29, 99, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10382, 33, 2, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10382, 74, 8, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10383, 13, 4.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10383, 50, 13, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10383, 56, 30.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10384, 20, 64.8, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10384, 60, 27.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10385, 7, 24, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10385, 60, 27.2, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10385, 68, 10, 8, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10386, 24, 3.6, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10386, 34, 11.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10387, 24, 3.6, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10387, 28, 36.4, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10387, 59, 44, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10387, 71, 17.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10388, 45, 7.6, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10388, 52, 5.6, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10388, 53, 26.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10389, 10, 24.8, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10389, 55, 19.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10389, 62, 39.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10389, 70, 12, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10390, 31, 10, 60, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10390, 35, 14.4, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10390, 46, 9.6, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10390, 72, 27.8, 24, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10391, 13, 4.8, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10392, 69, 28.8, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10393, 2, 15.2, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10393, 14, 18.6, 42, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10393, 25, 11.2, 7, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10393, 26, 24.9, 70, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10393, 31, 10, 32, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10394, 13, 4.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10394, 62, 39.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10395, 46, 9.6, 28, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10395, 53, 26.2, 70, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10395, 69, 28.8, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10396, 23, 7.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10396, 71, 17.2, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10396, 72, 27.8, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10397, 21, 8, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10397, 51, 42.4, 18, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10398, 35, 14.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10398, 55, 19.2, 120, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10399, 68, 10, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10399, 71, 17.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10399, 76, 14.4, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10399, 77, 10.4, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10400, 29, 99, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10400, 35, 14.4, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10400, 49, 16, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10401, 30, 20.7, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10401, 56, 30.4, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10401, 65, 16.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10401, 71, 17.2, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10402, 23, 7.2, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10402, 63, 35.1, 65, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10403, 16, 13.9, 21, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10403, 48, 10.2, 70, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10404, 26, 24.9, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10404, 42, 11.2, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10404, 49, 16, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10405, 3, 8, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10406, 1, 14.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10406, 21, 8, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10406, 28, 36.4, 42, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10406, 36, 15.2, 5, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10406, 40, 14.7, 2, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10407, 11, 16.8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10407, 69, 28.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10407, 71, 17.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10408, 37, 20.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10408, 54, 5.9, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10408, 62, 39.4, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10409, 14, 18.6, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10409, 21, 8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10410, 33, 2, 49, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10410, 59, 44, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10411, 41, 7.7, 25, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10411, 44, 15.5, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10411, 59, 44, 9, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10412, 14, 18.6, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10413, 1, 14.4, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10413, 62, 39.4, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10413, 76, 14.4, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10414, 19, 7.3, 18, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10414, 33, 2, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10415, 17, 31.2, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10415, 33, 2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10416, 19, 7.3, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10416, 53, 26.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10416, 57, 15.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10417, 38, 210.8, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10417, 46, 9.6, 2, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10417, 68, 10, 36, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10417, 77, 10.4, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10418, 2, 15.2, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10418, 47, 7.6, 55, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10418, 61, 22.8, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10418, 74, 8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10419, 60, 27.2, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10419, 69, 28.8, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10420, 9, 77.6, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10420, 13, 4.8, 2, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10420, 70, 12, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10420, 73, 12, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10421, 19, 7.3, 4, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10421, 26, 24.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10421, 53, 26.2, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10421, 77, 10.4, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10422, 26, 24.9, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10423, 31, 10, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10423, 59, 44, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10424, 35, 14.4, 60, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10424, 38, 210.8, 49, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10424, 68, 10, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10425, 55, 19.2, 10, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10425, 76, 14.4, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10426, 56, 30.4, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10426, 64, 26.6, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10427, 14, 18.6, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10428, 46, 9.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10429, 50, 13, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10429, 63, 35.1, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10430, 17, 31.2, 45, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10430, 21, 8, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10430, 56, 30.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10430, 59, 44, 70, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10431, 17, 31.2, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10431, 40, 14.7, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10431, 47, 7.6, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10432, 26, 24.9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10432, 54, 5.9, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10433, 56, 30.4, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10434, 11, 16.8, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10434, 76, 14.4, 18, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10435, 2, 15.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10435, 22, 16.8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10435, 72, 27.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10436, 46, 9.6, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10436, 56, 30.4, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10436, 64, 26.6, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10436, 75, 6.2, 24, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10437, 53, 26.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10438, 19, 7.3, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10438, 34, 11.2, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10438, 57, 15.6, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10439, 12, 30.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10439, 16, 13.9, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10439, 64, 26.6, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10439, 74, 8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10440, 2, 15.2, 45, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10440, 16, 13.9, 49, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10440, 29, 99, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10440, 61, 22.8, 90, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10441, 27, 35.1, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10442, 11, 16.8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10442, 54, 5.9, 80, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10442, 66, 13.6, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10443, 11, 16.8, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10443, 28, 36.4, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10444, 17, 31.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10444, 26, 24.9, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10444, 35, 14.4, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10444, 41, 7.7, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10445, 39, 14.4, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10445, 54, 5.9, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10446, 19, 7.3, 12, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10446, 24, 3.6, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10446, 31, 10, 3, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10446, 52, 5.6, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10447, 19, 7.3, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10447, 65, 16.8, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10447, 71, 17.2, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10448, 26, 24.9, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10448, 40, 14.7, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10449, 10, 24.8, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10449, 52, 5.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10449, 62, 39.4, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10450, 10, 24.8, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10450, 54, 5.9, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10451, 55, 19.2, 120, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10451, 64, 26.6, 35, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10451, 65, 16.8, 28, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10451, 77, 10.4, 55, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10452, 28, 36.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10452, 44, 15.5, 100, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10453, 48, 10.2, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10453, 70, 12, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10454, 16, 13.9, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10454, 33, 2, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10454, 46, 9.6, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10455, 39, 14.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10455, 53, 26.2, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10455, 61, 22.8, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10455, 71, 17.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10456, 21, 8, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10456, 49, 16, 21, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10457, 59, 44, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10458, 26, 24.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10458, 28, 36.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10458, 43, 36.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10458, 56, 30.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10458, 71, 17.2, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10459, 7, 24, 16, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10459, 46, 9.6, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10459, 72, 27.8, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10460, 68, 10, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10460, 75, 6.2, 4, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10461, 21, 8, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10461, 30, 20.7, 28, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10461, 55, 19.2, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10462, 13, 4.8, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10462, 23, 7.2, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10463, 19, 7.3, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10463, 42, 11.2, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10464, 4, 17.6, 16, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10464, 43, 36.8, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10464, 56, 30.4, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10464, 60, 27.2, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10465, 24, 3.6, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10465, 29, 99, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10465, 40, 14.7, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10465, 45, 7.6, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10465, 50, 13, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10466, 11, 16.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10466, 46, 9.6, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10467, 24, 3.6, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10467, 25, 11.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10468, 30, 20.7, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10468, 43, 36.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10469, 2, 15.2, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10469, 16, 13.9, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10469, 44, 15.5, 2, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10470, 18, 50, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10470, 23, 7.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10470, 64, 26.6, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10471, 7, 24, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10471, 56, 30.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10472, 24, 3.6, 80, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10472, 51, 42.4, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10473, 33, 2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10473, 71, 17.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10474, 14, 18.6, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10474, 28, 36.4, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10474, 40, 14.7, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10474, 75, 6.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10475, 31, 10, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10475, 66, 13.6, 60, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10475, 76, 14.4, 42, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10476, 55, 19.2, 2, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10476, 70, 12, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10477, 1, 14.4, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10477, 21, 8, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10477, 39, 14.4, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10478, 10, 24.8, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10479, 38, 210.8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10479, 53, 26.2, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10479, 59, 44, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10479, 64, 26.6, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10480, 47, 7.6, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10480, 59, 44, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10481, 49, 16, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10481, 60, 27.2, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10482, 40, 14.7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10483, 34, 11.2, 35, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10483, 77, 10.4, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10484, 21, 8, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10484, 40, 14.7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10484, 51, 42.4, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10485, 2, 15.2, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10485, 3, 8, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10485, 55, 19.2, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10485, 70, 12, 60, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10486, 11, 16.8, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10486, 51, 42.4, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10486, 74, 8, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10487, 19, 7.3, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10487, 26, 24.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10487, 54, 5.9, 24, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10488, 59, 44, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10488, 73, 12, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10489, 11, 16.8, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10489, 16, 13.9, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10490, 59, 44, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10490, 68, 10, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10490, 75, 6.2, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10491, 44, 15.5, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10491, 77, 10.4, 7, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10492, 25, 11.2, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10492, 42, 11.2, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10493, 65, 16.8, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10493, 66, 13.6, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10493, 69, 28.8, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10494, 56, 30.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10495, 23, 7.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10495, 41, 7.7, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10495, 77, 10.4, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10496, 31, 10, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10497, 56, 30.4, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10497, 72, 27.8, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10497, 77, 10.4, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10498, 24, 4.5, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10498, 40, 18.4, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10498, 42, 14, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10499, 28, 45.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10499, 49, 20, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10500, 15, 15.5, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10500, 28, 45.6, 8, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10501, 54, 7.45, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10502, 45, 9.5, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10502, 53, 32.8, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10502, 67, 14, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10503, 14, 23.25, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10503, 65, 21.05, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10504, 2, 19, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10504, 21, 10, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10504, 53, 32.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10504, 61, 28.5, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10505, 62, 49.3, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10506, 25, 14, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10506, 70, 15, 14, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10507, 43, 46, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10507, 48, 12.75, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10508, 13, 6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10508, 39, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10509, 28, 45.6, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10510, 29, 123.79, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10510, 75, 7.75, 36, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10511, 4, 22, 50, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10511, 7, 30, 50, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10511, 8, 40, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10512, 24, 4.5, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10512, 46, 12, 9, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10512, 47, 9.5, 6, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10512, 60, 34, 12, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10513, 21, 10, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10513, 32, 32, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10513, 61, 28.5, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10514, 20, 81, 39, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10514, 28, 45.6, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10514, 56, 38, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10514, 65, 21.05, 39, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10514, 75, 7.75, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10515, 9, 97, 16, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10515, 16, 17.45, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10515, 27, 43.9, 120, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10515, 33, 2.5, 16, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10515, 60, 34, 84, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10516, 18, 62.5, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10516, 41, 9.65, 80, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10516, 42, 14, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10517, 52, 7, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10517, 59, 55, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10517, 70, 15, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10518, 24, 4.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10518, 38, 263.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10518, 44, 19.45, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10519, 10, 31, 16, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10519, 56, 38, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10519, 60, 34, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10520, 24, 4.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10520, 53, 32.8, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10521, 35, 18, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10521, 41, 9.65, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10521, 68, 12.5, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10522, 1, 18, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10522, 8, 40, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10522, 30, 25.89, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10522, 40, 18.4, 25, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10523, 17, 39, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10523, 20, 81, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10523, 37, 26, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10523, 41, 9.65, 6, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10524, 10, 31, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10524, 30, 25.89, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10524, 43, 46, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10524, 54, 7.45, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10525, 36, 19, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10525, 40, 18.4, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10526, 1, 18, 8, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10526, 13, 6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10526, 56, 38, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10527, 4, 22, 50, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10527, 36, 19, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10528, 11, 21, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10528, 33, 2.5, 8, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10528, 72, 34.8, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10529, 55, 24, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10529, 68, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10529, 69, 36, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10530, 17, 39, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10530, 43, 46, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10530, 61, 28.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10530, 76, 18, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10531, 59, 55, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10532, 30, 25.89, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10532, 66, 17, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10533, 4, 22, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10533, 72, 34.8, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10533, 73, 15, 24, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10534, 30, 25.89, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10534, 40, 18.4, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10534, 54, 7.45, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10535, 11, 21, 50, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10535, 40, 18.4, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10535, 57, 19.5, 5, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10535, 59, 55, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10536, 12, 38, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10536, 31, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10536, 33, 2.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10536, 60, 34, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10537, 31, 12.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10537, 51, 53, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10537, 58, 13.25, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10537, 72, 34.8, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10537, 73, 15, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10538, 70, 15, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10538, 72, 34.8, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10539, 13, 6, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10539, 21, 10, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10539, 33, 2.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10539, 49, 20, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10540, 3, 10, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10540, 26, 31.23, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10540, 38, 263.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10540, 68, 12.5, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10541, 24, 4.5, 35, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10541, 38, 263.5, 4, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10541, 65, 21.05, 36, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10541, 71, 21.5, 9, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10542, 11, 21, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10542, 54, 7.45, 24, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10543, 12, 38, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10543, 23, 9, 70, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10544, 28, 45.6, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10544, 67, 14, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10545, 11, 21, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10546, 7, 30, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10546, 35, 18, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10546, 62, 49.3, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10547, 32, 32, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10547, 36, 19, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10548, 34, 14, 10, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10548, 41, 9.65, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10549, 31, 12.5, 55, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10549, 45, 9.5, 100, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10549, 51, 53, 48, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10550, 17, 39, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10550, 19, 9.2, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10550, 21, 10, 6, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10550, 61, 28.5, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10551, 16, 17.45, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10551, 35, 18, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10551, 44, 19.45, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10552, 69, 36, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10552, 75, 7.75, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10553, 11, 21, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10553, 16, 17.45, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10553, 22, 21, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10553, 31, 12.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10553, 35, 18, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10554, 16, 17.45, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10554, 23, 9, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10554, 62, 49.3, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10554, 77, 13, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10555, 14, 23.25, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10555, 19, 9.2, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10555, 24, 4.5, 18, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10555, 51, 53, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10555, 56, 38, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10556, 72, 34.8, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10557, 64, 33.25, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10557, 75, 7.75, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10558, 47, 9.5, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10558, 51, 53, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10558, 52, 7, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10558, 53, 32.8, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10558, 73, 15, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10559, 41, 9.65, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10559, 55, 24, 18, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10560, 30, 25.89, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10560, 62, 49.3, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10561, 44, 19.45, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10561, 51, 53, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10562, 33, 2.5, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10562, 62, 49.3, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10563, 36, 19, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10563, 52, 7, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10564, 17, 39, 16, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10564, 31, 12.5, 6, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10564, 55, 24, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10565, 24, 4.5, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10565, 64, 33.25, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10566, 11, 21, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10566, 18, 62.5, 18, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10566, 76, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10567, 31, 12.5, 60, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10567, 51, 53, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10567, 59, 55, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10568, 10, 31, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10569, 31, 12.5, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10569, 76, 18, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10570, 11, 21, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10570, 56, 38, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10571, 14, 23.25, 11, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10571, 42, 14, 28, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10572, 16, 17.45, 12, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10572, 32, 32, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10572, 40, 18.4, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10572, 75, 7.75, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10573, 17, 39, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10573, 34, 14, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10573, 53, 32.8, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10574, 33, 2.5, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10574, 40, 18.4, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10574, 62, 49.3, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10574, 64, 33.25, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10575, 59, 55, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10575, 63, 43.9, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10575, 72, 34.8, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10575, 76, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10576, 1, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10576, 31, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10576, 44, 19.45, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10577, 39, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10577, 75, 7.75, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10577, 77, 13, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10578, 35, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10578, 57, 19.5, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10579, 15, 15.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10579, 75, 7.75, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10580, 14, 23.25, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10580, 41, 9.65, 9, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10580, 65, 21.05, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10581, 75, 7.75, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10582, 57, 19.5, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10582, 76, 18, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10583, 29, 123.79, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10583, 60, 34, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10583, 69, 36, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10584, 31, 12.5, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10585, 47, 9.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10586, 52, 7, 4, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10587, 26, 31.23, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10587, 35, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10587, 77, 13, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10588, 18, 62.5, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10588, 42, 14, 100, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10589, 35, 18, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10590, 1, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10590, 77, 13, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10591, 3, 10, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10591, 7, 30, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10591, 54, 7.45, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10592, 15, 15.5, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10592, 26, 31.23, 5, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10593, 20, 81, 21, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10593, 69, 36, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10593, 76, 18, 4, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10594, 52, 7, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10594, 58, 13.25, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10595, 35, 18, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10595, 61, 28.5, 120, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10595, 69, 36, 65, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10596, 56, 38, 5, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10596, 63, 43.9, 24, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10596, 75, 7.75, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10597, 24, 4.5, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10597, 57, 19.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10597, 65, 21.05, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10598, 27, 43.9, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10598, 71, 21.5, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10599, 62, 49.3, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10600, 54, 7.45, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10600, 73, 15, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10601, 13, 6, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10601, 59, 55, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10602, 77, 13, 5, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10603, 22, 21, 48, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10603, 49, 20, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10604, 48, 12.75, 6, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10604, 76, 18, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10605, 16, 17.45, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10605, 59, 55, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10605, 60, 34, 70, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10605, 71, 21.5, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10606, 4, 22, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10606, 55, 24, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10606, 62, 49.3, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10607, 7, 30, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10607, 17, 39, 100, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10607, 33, 2.5, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10607, 40, 18.4, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10607, 72, 34.8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10608, 56, 38, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10609, 1, 18, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10609, 10, 31, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10609, 21, 10, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10610, 36, 19, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10611, 1, 18, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10611, 2, 19, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10611, 60, 34, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10612, 10, 31, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10612, 36, 19, 55, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10612, 49, 20, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10612, 60, 34, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10612, 76, 18, 80, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10613, 13, 6, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10613, 75, 7.75, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10614, 11, 21, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10614, 21, 10, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10614, 39, 18, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10615, 55, 24, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10616, 38, 263.5, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10616, 56, 38, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10616, 70, 15, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10616, 71, 21.5, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10617, 59, 55, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10618, 6, 25, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10618, 56, 38, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10618, 68, 12.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10619, 21, 10, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10619, 22, 21, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10620, 24, 4.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10620, 52, 7, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10621, 19, 9.2, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10621, 23, 9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10621, 70, 15, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10621, 71, 21.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10622, 2, 19, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10622, 68, 12.5, 18, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10623, 14, 23.25, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10623, 19, 9.2, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10623, 21, 10, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10623, 24, 4.5, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10623, 35, 18, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10624, 28, 45.6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10624, 29, 123.79, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10624, 44, 19.45, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10625, 14, 23.25, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10625, 42, 14, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10625, 60, 34, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10626, 53, 32.8, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10626, 60, 34, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10626, 71, 21.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10627, 62, 49.3, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10627, 73, 15, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10628, 1, 18, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10629, 29, 123.79, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10629, 64, 33.25, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10630, 55, 24, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10630, 76, 18, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10631, 75, 7.75, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10632, 2, 19, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10632, 33, 2.5, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10633, 12, 38, 36, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10633, 13, 6, 13, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10633, 26, 31.23, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10633, 62, 49.3, 80, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10634, 7, 30, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10634, 18, 62.5, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10634, 51, 53, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10634, 75, 7.75, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10635, 4, 22, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10635, 5, 21.35, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10635, 22, 21, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10636, 4, 22, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10636, 58, 13.25, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10637, 11, 21, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10637, 50, 16.25, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10637, 56, 38, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10638, 45, 9.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10638, 65, 21.05, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10638, 72, 34.8, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10639, 18, 62.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10640, 69, 36, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10640, 70, 15, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10641, 2, 19, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10641, 40, 18.4, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10642, 21, 10, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10642, 61, 28.5, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10643, 28, 45.6, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10643, 39, 18, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10643, 46, 12, 2, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10644, 18, 62.5, 4, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10644, 43, 46, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10644, 46, 12, 21, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10645, 18, 62.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10645, 36, 19, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10646, 1, 18, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10646, 10, 31, 18, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10646, 71, 21.5, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10646, 77, 13, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10647, 19, 9.2, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10647, 39, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10648, 22, 21, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10648, 24, 4.5, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10649, 28, 45.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10649, 72, 34.8, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10650, 30, 25.89, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10650, 53, 32.8, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10650, 54, 7.45, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10651, 19, 9.2, 12, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10651, 22, 21, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10652, 30, 25.89, 2, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10652, 42, 14, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10653, 16, 17.45, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10653, 60, 34, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10654, 4, 22, 12, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10654, 39, 18, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10654, 54, 7.45, 6, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10655, 41, 9.65, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10656, 14, 23.25, 3, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10656, 44, 19.45, 28, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10656, 47, 9.5, 6, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10657, 15, 15.5, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10657, 41, 9.65, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10657, 46, 12, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10657, 47, 9.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10657, 56, 38, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10657, 60, 34, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10658, 21, 10, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10658, 40, 18.4, 70, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10658, 60, 34, 55, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10658, 77, 13, 70, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10659, 31, 12.5, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10659, 40, 18.4, 24, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10659, 70, 15, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10660, 20, 81, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10661, 39, 18, 3, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10661, 58, 13.25, 49, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10662, 68, 12.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10663, 40, 18.4, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10663, 42, 14, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10663, 51, 53, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10664, 10, 31, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10664, 56, 38, 12, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10664, 65, 21.05, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10665, 51, 53, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10665, 59, 55, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10665, 76, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10666, 29, 123.79, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10666, 65, 21.05, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10667, 69, 36, 45, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10667, 71, 21.5, 14, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10668, 31, 12.5, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10668, 55, 24, 4, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10668, 64, 33.25, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10669, 36, 19, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10670, 23, 9, 32, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10670, 46, 12, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10670, 67, 14, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10670, 73, 15, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10670, 75, 7.75, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10671, 16, 17.45, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10671, 62, 49.3, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10671, 65, 21.05, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10672, 38, 263.5, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10672, 71, 21.5, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10673, 16, 17.45, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10673, 42, 14, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10673, 43, 46, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10674, 23, 9, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10675, 14, 23.25, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10675, 53, 32.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10675, 58, 13.25, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10676, 10, 31, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10676, 19, 9.2, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10676, 44, 19.45, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10677, 26, 31.23, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10677, 33, 2.5, 8, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10678, 12, 38, 100, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10678, 33, 2.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10678, 41, 9.65, 120, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10678, 54, 7.45, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10679, 59, 55, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10680, 16, 17.45, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10680, 31, 12.5, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10680, 42, 14, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10681, 19, 9.2, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10681, 21, 10, 12, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10681, 64, 33.25, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10682, 33, 2.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10682, 66, 17, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10682, 75, 7.75, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10683, 52, 7, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10684, 40, 18.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10684, 47, 9.5, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10684, 60, 34, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10685, 10, 31, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10685, 41, 9.65, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10685, 47, 9.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10686, 17, 39, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10686, 26, 31.23, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10687, 9, 97, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10687, 29, 123.79, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10687, 36, 19, 6, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10688, 10, 31, 18, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10688, 28, 45.6, 60, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10688, 34, 14, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10689, 1, 18, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10690, 56, 38, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10690, 77, 13, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10691, 1, 18, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10691, 29, 123.79, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10691, 43, 46, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10691, 44, 19.45, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10691, 62, 49.3, 48, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10692, 63, 43.9, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10693, 9, 97, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10693, 54, 7.45, 60, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10693, 69, 36, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10693, 73, 15, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10694, 7, 30, 90, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10694, 59, 55, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10694, 70, 15, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10695, 8, 40, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10695, 12, 38, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10695, 24, 4.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10696, 17, 39, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10696, 46, 12, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10697, 19, 9.2, 7, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10697, 35, 18, 9, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10697, 58, 13.25, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10697, 70, 15, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10698, 11, 21, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10698, 17, 39, 8, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10698, 29, 123.79, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10698, 65, 21.05, 65, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10698, 70, 15, 8, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10699, 47, 9.5, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10700, 1, 18, 5, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10700, 34, 14, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10700, 68, 12.5, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10700, 71, 21.5, 60, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10701, 59, 55, 42, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10701, 71, 21.5, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10701, 76, 18, 35, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10702, 3, 10, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10702, 76, 18, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10703, 2, 19, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10703, 59, 55, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10703, 73, 15, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10704, 4, 22, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10704, 24, 4.5, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10704, 48, 12.75, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10705, 31, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10705, 32, 32, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10706, 16, 17.45, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10706, 43, 46, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10706, 59, 55, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10707, 55, 24, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10707, 57, 19.5, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10707, 70, 15, 28, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10708, 5, 21.35, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10708, 36, 19, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10709, 8, 40, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10709, 51, 53, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10709, 60, 34, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10710, 19, 9.2, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10710, 47, 9.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10711, 19, 9.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10711, 41, 9.65, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10711, 53, 32.8, 120, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10712, 53, 32.8, 3, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10712, 56, 38, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10713, 10, 31, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10713, 26, 31.23, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10713, 45, 9.5, 110, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10713, 46, 12, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10714, 2, 19, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10714, 17, 39, 27, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10714, 47, 9.5, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10714, 56, 38, 18, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10714, 58, 13.25, 12, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10715, 10, 31, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10715, 71, 21.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10716, 21, 10, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10716, 51, 53, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10716, 61, 28.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10717, 21, 10, 32, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10717, 54, 7.45, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10717, 69, 36, 25, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10718, 12, 38, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10718, 16, 17.45, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10718, 36, 19, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10718, 62, 49.3, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10719, 18, 62.5, 12, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10719, 30, 25.89, 3, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10719, 54, 7.45, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10720, 35, 18, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10720, 71, 21.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10721, 44, 19.45, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10722, 2, 19, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10722, 31, 12.5, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10722, 68, 12.5, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10722, 75, 7.75, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10723, 26, 31.23, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10724, 10, 31, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10724, 61, 28.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10725, 41, 9.65, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10725, 52, 7, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10725, 55, 24, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10726, 4, 22, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10726, 11, 21, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10727, 17, 39, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10727, 56, 38, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10727, 59, 55, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10728, 30, 25.89, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10728, 40, 18.4, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10728, 55, 24, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10728, 60, 34, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10729, 1, 18, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10729, 21, 10, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10729, 50, 16.25, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10730, 16, 17.45, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10730, 31, 12.5, 3, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10730, 65, 21.05, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10731, 21, 10, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10731, 51, 53, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10732, 76, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10733, 14, 23.25, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10733, 28, 45.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10733, 52, 7, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10734, 6, 25, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10734, 30, 25.89, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10734, 76, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10735, 61, 28.5, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10735, 77, 13, 2, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10736, 65, 21.05, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10736, 75, 7.75, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10737, 13, 6, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10737, 41, 9.65, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10738, 16, 17.45, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10739, 36, 19, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10739, 52, 7, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10740, 28, 45.6, 5, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10740, 35, 18, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10740, 45, 9.5, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10740, 56, 38, 14, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10741, 2, 19, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10742, 3, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10742, 60, 34, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10742, 72, 34.8, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10743, 46, 12, 28, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10744, 40, 18.4, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10745, 18, 62.5, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10745, 44, 19.45, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10745, 59, 55, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10745, 72, 34.8, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10746, 13, 6, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10746, 42, 14, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10746, 62, 49.3, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10746, 69, 36, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10747, 31, 12.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10747, 41, 9.65, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10747, 63, 43.9, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10747, 69, 36, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10748, 23, 9, 44, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10748, 40, 18.4, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10748, 56, 38, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10749, 56, 38, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10749, 59, 55, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10749, 76, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10750, 14, 23.25, 5, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10750, 45, 9.5, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10750, 59, 55, 25, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10751, 26, 31.23, 12, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10751, 30, 25.89, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10751, 50, 16.25, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10751, 73, 15, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10752, 1, 18, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10752, 69, 36, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10753, 45, 9.5, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10753, 74, 10, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10754, 40, 18.4, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10755, 47, 9.5, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10755, 56, 38, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10755, 57, 19.5, 14, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10755, 69, 36, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10756, 18, 62.5, 21, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10756, 36, 19, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10756, 68, 12.5, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10756, 69, 36, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10757, 34, 14, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10757, 59, 55, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10757, 62, 49.3, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10757, 64, 33.25, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10758, 26, 31.23, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10758, 52, 7, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10758, 70, 15, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10759, 32, 32, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10760, 25, 14, 12, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10760, 27, 43.9, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10760, 43, 46, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10761, 25, 14, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10761, 75, 7.75, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10762, 39, 18, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10762, 47, 9.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10762, 51, 53, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10762, 56, 38, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10763, 21, 10, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10763, 22, 21, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10763, 24, 4.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10764, 3, 10, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10764, 39, 18, 130, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10765, 65, 21.05, 80, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10766, 2, 19, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10766, 7, 30, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10766, 68, 12.5, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10767, 42, 14, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10768, 22, 21, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10768, 31, 12.5, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10768, 60, 34, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10768, 71, 21.5, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10769, 41, 9.65, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10769, 52, 7, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10769, 61, 28.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10769, 62, 49.3, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10770, 11, 21, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10771, 71, 21.5, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10772, 29, 123.79, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10772, 59, 55, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10773, 17, 39, 33, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10773, 31, 12.5, 70, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10773, 75, 7.75, 7, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10774, 31, 12.5, 2, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10774, 66, 17, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10775, 10, 31, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10775, 67, 14, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10776, 31, 12.5, 16, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10776, 42, 14, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10776, 45, 9.5, 27, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10776, 51, 53, 120, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10777, 42, 14, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10778, 41, 9.65, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10779, 16, 17.45, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10779, 62, 49.3, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10780, 70, 15, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10780, 77, 13, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10781, 54, 7.45, 3, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10781, 56, 38, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10781, 74, 10, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10782, 31, 12.5, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10783, 31, 12.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10783, 38, 263.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10784, 36, 19, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10784, 39, 18, 2, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10784, 72, 34.8, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10785, 10, 31, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10785, 75, 7.75, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10786, 8, 40, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10786, 30, 25.89, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10786, 75, 7.75, 42, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10787, 2, 19, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10787, 29, 123.79, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10788, 19, 9.2, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10788, 75, 7.75, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10789, 18, 62.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10789, 35, 18, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10789, 63, 43.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10789, 68, 12.5, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10790, 7, 30, 3, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10790, 56, 38, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10791, 29, 123.79, 14, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10791, 41, 9.65, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10792, 2, 19, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10792, 54, 7.45, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10792, 68, 12.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10793, 41, 9.65, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10793, 52, 7, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10794, 14, 23.25, 15, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10794, 54, 7.45, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10795, 16, 17.45, 65, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10795, 17, 39, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10796, 26, 31.23, 21, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10796, 44, 19.45, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10796, 64, 33.25, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10796, 69, 36, 24, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10797, 11, 21, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10798, 62, 49.3, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10798, 72, 34.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10799, 13, 6, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10799, 24, 4.5, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10799, 59, 55, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10800, 11, 21, 50, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10800, 51, 53, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10800, 54, 7.45, 7, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10801, 17, 39, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10801, 29, 123.79, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10802, 30, 25.89, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10802, 51, 53, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10802, 55, 24, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10802, 62, 49.3, 5, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10803, 19, 9.2, 24, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10803, 25, 14, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10803, 59, 55, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10804, 10, 31, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10804, 28, 45.6, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10804, 49, 20, 4, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10805, 34, 14, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10805, 38, 263.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10806, 2, 19, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10806, 65, 21.05, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10806, 74, 10, 15, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10807, 40, 18.4, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10808, 56, 38, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10808, 76, 18, 50, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10809, 52, 7, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10810, 13, 6, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10810, 25, 14, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10810, 70, 15, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10811, 19, 9.2, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10811, 23, 9, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10811, 40, 18.4, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10812, 31, 12.5, 16, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10812, 72, 34.8, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10812, 77, 13, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10813, 2, 19, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10813, 46, 12, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10814, 41, 9.65, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10814, 43, 46, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10814, 48, 12.75, 8, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10814, 61, 28.5, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10815, 33, 2.5, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10816, 38, 263.5, 30, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10816, 62, 49.3, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10817, 26, 31.23, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10817, 38, 263.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10817, 40, 18.4, 60, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10817, 62, 49.3, 25, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10818, 32, 32, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10818, 41, 9.65, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10819, 43, 46, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10819, 75, 7.75, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10820, 56, 38, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10821, 35, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10821, 51, 53, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10822, 62, 49.3, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10822, 70, 15, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10823, 11, 21, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10823, 57, 19.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10823, 59, 55, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10823, 77, 13, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10824, 41, 9.65, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10824, 70, 15, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10825, 26, 31.23, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10825, 53, 32.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10826, 31, 12.5, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10826, 57, 19.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10827, 10, 31, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10827, 39, 18, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10828, 20, 81, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10828, 38, 263.5, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10829, 2, 19, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10829, 8, 40, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10829, 13, 6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10829, 60, 34, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10830, 6, 25, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10830, 39, 18, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10830, 60, 34, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10830, 68, 12.5, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10831, 19, 9.2, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10831, 35, 18, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10831, 38, 263.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10831, 43, 46, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10832, 13, 6, 3, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10832, 25, 14, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10832, 44, 19.45, 16, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10832, 64, 33.25, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10833, 7, 30, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10833, 31, 12.5, 9, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10833, 53, 32.8, 9, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10834, 29, 123.79, 8, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10834, 30, 25.89, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10835, 59, 55, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10835, 77, 13, 2, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10836, 22, 21, 52, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10836, 35, 18, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10836, 57, 19.5, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10836, 60, 34, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10836, 64, 33.25, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10837, 13, 6, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10837, 40, 18.4, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10837, 47, 9.5, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10837, 76, 18, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10838, 1, 18, 4, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10838, 18, 62.5, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10838, 36, 19, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10839, 58, 13.25, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10839, 72, 34.8, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10840, 25, 14, 6, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10840, 39, 18, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10841, 10, 31, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10841, 56, 38, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10841, 59, 55, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10841, 77, 13, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10842, 11, 21, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10842, 43, 46, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10842, 68, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10842, 70, 15, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10843, 51, 53, 4, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10844, 22, 21, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10845, 23, 9, 70, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10845, 35, 18, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10845, 42, 14, 42, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10845, 58, 13.25, 60, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10845, 64, 33.25, 48, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10846, 4, 22, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10846, 70, 15, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10846, 74, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10847, 1, 18, 80, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10847, 19, 9.2, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10847, 37, 26, 60, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10847, 45, 9.5, 36, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10847, 60, 34, 45, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10847, 71, 21.5, 55, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10848, 5, 21.35, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10848, 9, 97, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10849, 3, 10, 49, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10849, 26, 31.23, 18, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10850, 25, 14, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10850, 33, 2.5, 4, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10850, 70, 15, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10851, 2, 19, 5, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10851, 25, 14, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10851, 57, 19.5, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10851, 59, 55, 42, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10852, 2, 19, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10852, 17, 39, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10852, 62, 49.3, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10853, 18, 62.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10854, 10, 31, 100, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10854, 13, 6, 65, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10855, 16, 17.45, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10855, 31, 12.5, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10855, 56, 38, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10855, 65, 21.05, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10856, 2, 19, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10856, 42, 14, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10857, 3, 10, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10857, 26, 31.23, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10857, 29, 123.79, 10, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10858, 7, 30, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10858, 27, 43.9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10858, 70, 15, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10859, 24, 4.5, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10859, 54, 7.45, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10859, 64, 33.25, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10860, 51, 53, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10860, 76, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10861, 17, 39, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10861, 18, 62.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10861, 21, 10, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10861, 33, 2.5, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10861, 62, 49.3, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10862, 11, 21, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10862, 52, 7, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10863, 1, 18, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10863, 58, 13.25, 12, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10864, 35, 18, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10864, 67, 14, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10865, 38, 263.5, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10865, 39, 18, 80, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10866, 2, 19, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10866, 24, 4.5, 6, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10866, 30, 25.89, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10867, 53, 32.8, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10868, 26, 31.23, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10868, 35, 18, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10868, 49, 20, 42, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10869, 1, 18, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10869, 11, 21, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10869, 23, 9, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10869, 68, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10870, 35, 18, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10870, 51, 53, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10871, 6, 25, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10871, 16, 17.45, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10871, 17, 39, 16, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10872, 55, 24, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10872, 62, 49.3, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10872, 64, 33.25, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10872, 65, 21.05, 21, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10873, 21, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10873, 28, 45.6, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10874, 10, 31, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10875, 19, 9.2, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10875, 47, 9.5, 21, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10875, 49, 20, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10876, 46, 12, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10876, 64, 33.25, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10877, 16, 17.45, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10877, 18, 62.5, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10878, 20, 81, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10879, 40, 18.4, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10879, 65, 21.05, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10879, 76, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10880, 23, 9, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10880, 61, 28.5, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10880, 70, 15, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10881, 73, 15, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10882, 42, 14, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10882, 49, 20, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10882, 54, 7.45, 32, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10883, 24, 4.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10884, 21, 10, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10884, 56, 38, 21, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10884, 65, 21.05, 12, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10885, 2, 19, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10885, 24, 4.5, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10885, 70, 15, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10885, 77, 13, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10886, 10, 31, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10886, 31, 12.5, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10886, 77, 13, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10887, 25, 14, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10888, 2, 19, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10888, 68, 12.5, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10889, 11, 21, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10889, 38, 263.5, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10890, 17, 39, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10890, 34, 14, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10890, 41, 9.65, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10891, 30, 25.89, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10892, 59, 55, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10893, 8, 40, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10893, 24, 4.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10893, 29, 123.79, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10893, 30, 25.89, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10893, 36, 19, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10894, 13, 6, 28, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10894, 69, 36, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10894, 75, 7.75, 120, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10895, 24, 4.5, 110, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10895, 39, 18, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10895, 40, 18.4, 91, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10895, 60, 34, 100, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10896, 45, 9.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10896, 56, 38, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10897, 29, 123.79, 80, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10897, 30, 25.89, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10898, 13, 6, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10899, 39, 18, 8, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10900, 70, 15, 3, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10901, 41, 9.65, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10901, 71, 21.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10902, 55, 24, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10902, 62, 49.3, 6, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10903, 13, 6, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10903, 65, 21.05, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10903, 68, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10904, 58, 13.25, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10904, 62, 49.3, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10905, 1, 18, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10906, 61, 28.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10907, 75, 7.75, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10908, 7, 30, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10908, 52, 7, 14, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10909, 7, 30, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10909, 16, 17.45, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10909, 41, 9.65, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10910, 19, 9.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10910, 49, 20, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10910, 61, 28.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10911, 1, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10911, 17, 39, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10911, 67, 14, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10912, 11, 21, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10912, 29, 123.79, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10913, 4, 22, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10913, 33, 2.5, 40, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10913, 58, 13.25, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10914, 71, 21.5, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10915, 17, 39, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10915, 33, 2.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10915, 54, 7.45, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10916, 16, 17.45, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10916, 32, 32, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10916, 57, 19.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10917, 30, 25.89, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10917, 60, 34, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10918, 1, 18, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10918, 60, 34, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10919, 16, 17.45, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10919, 25, 14, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10919, 40, 18.4, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10920, 50, 16.25, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10921, 35, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10921, 63, 43.9, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10922, 17, 39, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10922, 24, 4.5, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10923, 42, 14, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10923, 43, 46, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10923, 67, 14, 24, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10924, 10, 31, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10924, 28, 45.6, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10924, 75, 7.75, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10925, 36, 19, 25, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10925, 52, 7, 12, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10926, 11, 21, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10926, 13, 6, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10926, 19, 9.2, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10926, 72, 34.8, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10927, 20, 81, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10927, 52, 7, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10927, 76, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10928, 47, 9.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10928, 76, 18, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10929, 21, 10, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10929, 75, 7.75, 49, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10929, 77, 13, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10930, 21, 10, 36, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10930, 27, 43.9, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10930, 55, 24, 25, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10930, 58, 13.25, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10931, 13, 6, 42, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10931, 57, 19.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10932, 16, 17.45, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10932, 62, 49.3, 14, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10932, 72, 34.8, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10932, 75, 7.75, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10933, 53, 32.8, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10933, 61, 28.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10934, 6, 25, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10935, 1, 18, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10935, 18, 62.5, 4, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10935, 23, 9, 8, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10936, 36, 19, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10937, 28, 45.6, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10937, 34, 14, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10938, 13, 6, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10938, 43, 46, 24, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10938, 60, 34, 49, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10938, 71, 21.5, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10939, 2, 19, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10939, 67, 14, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10940, 7, 30, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10940, 13, 6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10941, 31, 12.5, 44, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10941, 62, 49.3, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10941, 68, 12.5, 80, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10941, 72, 34.8, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10942, 49, 20, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10943, 13, 6, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10943, 22, 21, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10943, 46, 12, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10944, 11, 21, 5, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10944, 44, 19.45, 18, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10944, 56, 38, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10945, 13, 6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10945, 31, 12.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10946, 10, 31, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10946, 24, 4.5, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10946, 77, 13, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10947, 59, 55, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10948, 50, 16.25, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10948, 51, 53, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10948, 55, 24, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10949, 6, 25, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10949, 10, 31, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10949, 17, 39, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10949, 62, 49.3, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10950, 4, 22, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10951, 33, 2.5, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10951, 41, 9.65, 6, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10951, 75, 7.75, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10952, 6, 25, 16, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10952, 28, 45.6, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10953, 20, 81, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10953, 31, 12.5, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10954, 16, 17.45, 28, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10954, 31, 12.5, 25, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10954, 45, 9.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10954, 60, 34, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10955, 75, 7.75, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10956, 21, 10, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10956, 47, 9.5, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10956, 51, 53, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10957, 30, 25.89, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10957, 35, 18, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10957, 64, 33.25, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10958, 5, 21.35, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10958, 7, 30, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10958, 72, 34.8, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10959, 75, 7.75, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10960, 24, 4.5, 10, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10960, 41, 9.65, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10961, 52, 7, 6, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10961, 76, 18, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10962, 7, 30, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10962, 13, 6, 77, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10962, 53, 32.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10962, 69, 36, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10962, 76, 18, 44, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10963, 60, 34, 2, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10964, 18, 62.5, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10964, 38, 263.5, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10964, 69, 36, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10965, 51, 53, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10966, 37, 26, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10966, 56, 38, 12, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10966, 62, 49.3, 12, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10967, 19, 9.2, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10967, 49, 20, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10968, 12, 38, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10968, 24, 4.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10968, 64, 33.25, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10969, 46, 12, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10970, 52, 7, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10971, 29, 123.79, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10972, 17, 39, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10972, 33, 2.5, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10973, 26, 31.23, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10973, 41, 9.65, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10973, 75, 7.75, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10974, 63, 43.9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10975, 8, 40, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10975, 75, 7.75, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10976, 28, 45.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10977, 39, 18, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10977, 47, 9.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10977, 51, 53, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10977, 63, 43.9, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10978, 8, 40, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10978, 21, 10, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10978, 40, 18.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10978, 44, 19.45, 6, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10979, 7, 30, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10979, 12, 38, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10979, 24, 4.5, 80, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10979, 27, 43.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10979, 31, 12.5, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10979, 63, 43.9, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10980, 75, 7.75, 40, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10981, 38, 263.5, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10982, 7, 30, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10982, 43, 46, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10983, 13, 6, 84, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10983, 57, 19.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10984, 16, 17.45, 55, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10984, 24, 4.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10984, 36, 19, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10985, 16, 17.45, 36, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10985, 18, 62.5, 8, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10985, 32, 32, 35, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10986, 11, 21, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10986, 20, 81, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10986, 76, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10986, 77, 13, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10987, 7, 30, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10987, 43, 46, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10987, 72, 34.8, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10988, 7, 30, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10988, 62, 49.3, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10989, 6, 25, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10989, 11, 21, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10989, 41, 9.65, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10990, 21, 10, 65, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10990, 34, 14, 60, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10990, 55, 24, 65, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10990, 61, 28.5, 66, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10991, 2, 19, 50, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10991, 70, 15, 20, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10991, 76, 18, 90, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10992, 72, 34.8, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10993, 29, 123.79, 50, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10993, 41, 9.65, 35, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10994, 59, 55, 18, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10995, 51, 53, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10995, 60, 34, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10996, 42, 14, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10997, 32, 32, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10997, 46, 12, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10997, 52, 7, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10998, 24, 4.5, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10998, 61, 28.5, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10998, 74, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10998, 75, 7.75, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10999, 41, 9.65, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10999, 51, 53, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(10999, 77, 13, 21, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11000, 4, 22, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11000, 24, 4.5, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11000, 77, 13, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11001, 7, 30, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11001, 22, 21, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11001, 46, 12, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11001, 55, 24, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11002, 13, 6, 56, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11002, 35, 18, 15, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11002, 42, 14, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11002, 55, 24, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11003, 1, 18, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11003, 40, 18.4, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11003, 52, 7, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11004, 26, 31.23, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11004, 76, 18, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11005, 1, 18, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11005, 59, 55, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11006, 1, 18, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11006, 29, 123.79, 2, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11007, 8, 40, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11007, 29, 123.79, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11007, 42, 14, 14, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11008, 28, 45.6, 70, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11008, 34, 14, 90, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11008, 71, 21.5, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11009, 24, 4.5, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11009, 36, 19, 18, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11009, 60, 34, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11010, 7, 30, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11010, 24, 4.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11011, 58, 13.25, 40, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11011, 71, 21.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11012, 19, 9.2, 50, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11012, 60, 34, 36, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11012, 71, 21.5, 60, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11013, 23, 9, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11013, 42, 14, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11013, 45, 9.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11013, 68, 12.5, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11014, 41, 9.65, 28, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11015, 30, 25.89, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11015, 77, 13, 18, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11016, 31, 12.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11016, 36, 19, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11017, 3, 10, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11017, 59, 55, 110, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11017, 70, 15, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11018, 12, 38, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11018, 18, 62.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11018, 56, 38, 5, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11019, 46, 12, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11019, 49, 20, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11020, 10, 31, 24, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11021, 2, 19, 11, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11021, 20, 81, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11021, 26, 31.23, 63, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11021, 51, 53, 44, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11021, 72, 34.8, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11022, 19, 9.2, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11022, 69, 36, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11023, 7, 30, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11023, 43, 46, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11024, 26, 31.23, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11024, 33, 2.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11024, 65, 21.05, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11024, 71, 21.5, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11025, 1, 18, 10, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11025, 13, 6, 20, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11026, 18, 62.5, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11026, 51, 53, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11027, 24, 4.5, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11027, 62, 49.3, 21, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11028, 55, 24, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11028, 59, 55, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11029, 56, 38, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11029, 63, 43.9, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11030, 2, 19, 100, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11030, 5, 21.35, 70, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11030, 29, 123.79, 60, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11030, 59, 55, 100, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11031, 1, 18, 45, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11031, 13, 6, 80, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11031, 24, 4.5, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11031, 64, 33.25, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11031, 71, 21.5, 16, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11032, 36, 19, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11032, 38, 263.5, 25, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11032, 59, 55, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11033, 53, 32.8, 70, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11033, 69, 36, 36, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11034, 21, 10, 15, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11034, 44, 19.45, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11034, 61, 28.5, 6, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11035, 1, 18, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11035, 35, 18, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11035, 42, 14, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11035, 54, 7.45, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11036, 13, 6, 7, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11036, 59, 55, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11037, 70, 15, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11038, 40, 18.4, 5, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11038, 52, 7, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11038, 71, 21.5, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11039, 28, 45.6, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11039, 35, 18, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11039, 49, 20, 60, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11039, 57, 19.5, 28, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11040, 21, 10, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11041, 2, 19, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11041, 63, 43.9, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11042, 44, 19.45, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11042, 61, 28.5, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11043, 11, 21, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11044, 62, 49.3, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11045, 33, 2.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11045, 51, 53, 24, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11046, 12, 38, 20, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11046, 32, 32, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11046, 35, 18, 18, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11047, 1, 18, 25, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11047, 5, 21.35, 30, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11048, 68, 12.5, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11049, 2, 19, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11049, 12, 38, 4, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11050, 76, 18, 50, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11051, 24, 4.5, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11052, 43, 46, 30, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11052, 61, 28.5, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11053, 18, 62.5, 35, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11053, 32, 32, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11053, 64, 33.25, 25, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11054, 33, 2.5, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11054, 67, 14, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11055, 24, 4.5, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11055, 25, 14, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11055, 51, 53, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11055, 57, 19.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11056, 7, 30, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11056, 55, 24, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11056, 60, 34, 50, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11057, 70, 15, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11058, 21, 10, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11058, 60, 34, 21, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11058, 61, 28.5, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11059, 13, 6, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11059, 17, 39, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11059, 60, 34, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11060, 60, 34, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11060, 77, 13, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11061, 60, 34, 15, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11062, 53, 32.8, 10, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11062, 70, 15, 12, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11063, 34, 14, 30, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11063, 40, 18.4, 40, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11063, 41, 9.65, 30, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11064, 17, 39, 77, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11064, 41, 9.65, 12, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11064, 53, 32.8, 25, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11064, 55, 24, 4, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11064, 68, 12.5, 55, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11065, 30, 25.89, 4, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11065, 54, 7.45, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11066, 16, 17.45, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11066, 19, 9.2, 42, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11066, 34, 14, 35, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11067, 41, 9.65, 9, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11068, 28, 45.6, 8, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11068, 43, 46, 36, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11068, 77, 13, 28, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11069, 39, 18, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11070, 1, 18, 40, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11070, 2, 19, 20, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11070, 16, 17.45, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11070, 31, 12.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11071, 7, 30, 15, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11071, 13, 6, 10, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11072, 2, 19, 8, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11072, 41, 9.65, 40, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11072, 50, 16.25, 22, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11072, 64, 33.25, 130, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11073, 11, 21, 10, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11073, 24, 4.5, 20, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11074, 16, 17.45, 14, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11075, 2, 19, 10, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11075, 46, 12, 30, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11075, 76, 18, 2, 0.15); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11076, 6, 25, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11076, 14, 23.25, 20, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11076, 19, 9.2, 10, 0.25); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 2, 19, 24, 0.2); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 3, 10, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 4, 22, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 6, 25, 1, 0.02); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 7, 30, 1, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 8, 40, 2, 0.1); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 10, 31, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 12, 38, 2, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 13, 6, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 14, 23.25, 1, 0.03); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 16, 17.45, 2, 0.03); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 20, 81, 1, 0.04); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 23, 9, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 32, 32, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 39, 18, 2, 0.05); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 41, 9.65, 3, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 46, 12, 3, 0.02); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 52, 7, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 55, 24, 2, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 60, 34, 2, 0.06); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 64, 33.25, 2, 0.03); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 66, 17, 1, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 73, 15, 2, 0.01); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 75, 7.75, 4, 0.0); -INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) -VALUES(11077, 77, 13, 2, 0.0); -SELECT * FROM [Order Details]; ---Orders ---Orders -DROP TABLE IF EXISTS [Orders]; -CREATE TABLE [Orders]( - [OrderID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, - [CustomerID]TEXT, - [EmployeeID]INTEGER, - [OrderDate]DATETIME, - [RequiredDate]DATETIME, - [ShippedDate]DATETIME, - [ShipVia]INTEGER, - [Freight]NUMERIC DEFAULT 0, - [ShipName]TEXT, - [ShipAddress]TEXT, - [ShipCity]TEXT, - [ShipRegion]TEXT, - [ShipPostalCode]TEXT, - [ShipCountry]TEXT, - FOREIGN KEY ([EmployeeID]) REFERENCES [Employees] ([EmployeeID]) - ON DELETE NO ACTION ON UPDATE NO ACTION, - FOREIGN KEY ([CustomerID]) REFERENCES [Customers] ([CustomerID]) - ON DELETE NO ACTION ON UPDATE NO ACTION, - FOREIGN KEY ([ShipVia]) REFERENCES [Shippers] ([ShipperID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); ---CREATE INDEX [OrderDate]ON [Orders]("OrderDate" ASC); ---CREATE INDEX [ShippedDate]ON [Orders]("ShippedDate" ASC); ---CREATE INDEX [ShipPostalCode]ON [Orders]("ShipPostalCode" ASC); - -INSERT INTO Orders Values ('10248','VINET',5,'1996-07-04 00:00:00.000','1996-08-01 00:00:00.000','1996-07-16 00:00:00.000',3,32.38,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); -INSERT INTO Orders Values ('10249','TOMSP',6,'1996-07-05 00:00:00.000','1996-08-16 00:00:00.000','1996-07-10 00:00:00.000',1,11.61,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); -INSERT INTO Orders Values ('10250','HANAR',4,'1996-07-08 00:00:00.000','1996-08-05 00:00:00.000','1996-07-12 00:00:00.000',2,65.83,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10251','VICTE',3,'1996-07-08 00:00:00.000','1996-08-05 00:00:00.000','1996-07-15 00:00:00.000',1,41.34,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10252','SUPRD',4,'1996-07-09 00:00:00.000','1996-08-06 00:00:00.000','1996-07-11 00:00:00.000',2,51.3,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10253','HANAR',3,'1996-07-10 00:00:00.000','1996-07-24 00:00:00.000','1996-07-16 00:00:00.000',2,58.17,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10254','CHOPS',5,'1996-07-11 00:00:00.000','1996-08-08 00:00:00.000','1996-07-23 00:00:00.000',2,22.98,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('10255','RICSU',9,'1996-07-12 00:00:00.000','1996-08-09 00:00:00.000','1996-07-15 00:00:00.000',3,148.33,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10256','WELLI',3,'1996-07-15 00:00:00.000','1996-08-12 00:00:00.000','1996-07-17 00:00:00.000',2,13.97,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10257','HILAA',4,'1996-07-16 00:00:00.000','1996-08-13 00:00:00.000','1996-07-22 00:00:00.000',3,81.91,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10258','ERNSH',1,'1996-07-17 00:00:00.000','1996-08-14 00:00:00.000','1996-07-23 00:00:00.000',1,140.51,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10259','CENTC',4,'1996-07-18 00:00:00.000','1996-08-15 00:00:00.000','1996-07-25 00:00:00.000',3,3.25,'Centro comercial Moctezuma','Sierras de Granada 9993','M�xico D.F.',NULL,'5022','Mexico'); -INSERT INTO Orders Values ('10260','OTTIK',4,'1996-07-19 00:00:00.000','1996-08-16 00:00:00.000','1996-07-29 00:00:00.000',1,55.09,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10261','QUEDE',4,'1996-07-19 00:00:00.000','1996-08-16 00:00:00.000','1996-07-30 00:00:00.000',2,3.05,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10262','RATTC',8,'1996-07-22 00:00:00.000','1996-08-19 00:00:00.000','1996-07-25 00:00:00.000',3,48.29,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10263','ERNSH',9,'1996-07-23 00:00:00.000','1996-08-20 00:00:00.000','1996-07-31 00:00:00.000',3,146.06,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10264','FOLKO',6,'1996-07-24 00:00:00.000','1996-08-21 00:00:00.000','1996-08-23 00:00:00.000',3,3.67,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10265','BLONP',2,'1996-07-25 00:00:00.000','1996-08-22 00:00:00.000','1996-08-12 00:00:00.000',1,55.28,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10266','WARTH',3,'1996-07-26 00:00:00.000','1996-09-06 00:00:00.000','1996-07-31 00:00:00.000',3,25.73,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10267','FRANK',4,'1996-07-29 00:00:00.000','1996-08-26 00:00:00.000','1996-08-06 00:00:00.000',1,208.58,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10268','GROSR',8,'1996-07-30 00:00:00.000','1996-08-27 00:00:00.000','1996-08-02 00:00:00.000',3,66.29,'GROSELLA-Restaurante','5� Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela'); -INSERT INTO Orders Values ('10269','WHITC',5,'1996-07-31 00:00:00.000','1996-08-14 00:00:00.000','1996-08-09 00:00:00.000',1,4.56,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10270','WARTH',1,'1996-08-01 00:00:00.000','1996-08-29 00:00:00.000','1996-08-02 00:00:00.000',1,136.54,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10271','SPLIR',6,'1996-08-01 00:00:00.000','1996-08-29 00:00:00.000','1996-08-30 00:00:00.000',2,4.54,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10272','RATTC',6,'1996-08-02 00:00:00.000','1996-08-30 00:00:00.000','1996-08-06 00:00:00.000',2,98.03,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10273','QUICK',3,'1996-08-05 00:00:00.000','1996-09-02 00:00:00.000','1996-08-12 00:00:00.000',3,76.07,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10274','VINET',6,'1996-08-06 00:00:00.000','1996-09-03 00:00:00.000','1996-08-16 00:00:00.000',1,6.01,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); -INSERT INTO Orders Values ('10275','MAGAA',1,'1996-08-07 00:00:00.000','1996-09-04 00:00:00.000','1996-08-09 00:00:00.000',1,26.93,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10276','TORTU',8,'1996-08-08 00:00:00.000','1996-08-22 00:00:00.000','1996-08-14 00:00:00.000',3,13.84,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10277','MORGK',2,'1996-08-09 00:00:00.000','1996-09-06 00:00:00.000','1996-08-13 00:00:00.000',3,125.77,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); -INSERT INTO Orders Values ('10278','BERGS',8,'1996-08-12 00:00:00.000','1996-09-09 00:00:00.000','1996-08-16 00:00:00.000',2,92.69,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10279','LEHMS',8,'1996-08-13 00:00:00.000','1996-09-10 00:00:00.000','1996-08-16 00:00:00.000',2,25.83,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10280','BERGS',2,'1996-08-14 00:00:00.000','1996-09-11 00:00:00.000','1996-09-12 00:00:00.000',1,8.98,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10281','ROMEY',4,'1996-08-14 00:00:00.000','1996-08-28 00:00:00.000','1996-08-21 00:00:00.000',1,2.94,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); -INSERT INTO Orders Values ('10282','ROMEY',4,'1996-08-15 00:00:00.000','1996-09-12 00:00:00.000','1996-08-21 00:00:00.000',1,12.69,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); -INSERT INTO Orders Values ('10283','LILAS',3,'1996-08-16 00:00:00.000','1996-09-13 00:00:00.000','1996-08-23 00:00:00.000',3,84.81,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10284','LEHMS',4,'1996-08-19 00:00:00.000','1996-09-16 00:00:00.000','1996-08-27 00:00:00.000',1,76.56,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10285','QUICK',1,'1996-08-20 00:00:00.000','1996-09-17 00:00:00.000','1996-08-26 00:00:00.000',2,76.83,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10286','QUICK',8,'1996-08-21 00:00:00.000','1996-09-18 00:00:00.000','1996-08-30 00:00:00.000',3,229.24,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10287','RICAR',8,'1996-08-22 00:00:00.000','1996-09-19 00:00:00.000','1996-08-28 00:00:00.000',3,12.76,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10288','REGGC',4,'1996-08-23 00:00:00.000','1996-09-20 00:00:00.000','1996-09-03 00:00:00.000',1,7.45,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10289','BSBEV',7,'1996-08-26 00:00:00.000','1996-09-23 00:00:00.000','1996-08-28 00:00:00.000',3,22.77,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10290','COMMI',8,'1996-08-27 00:00:00.000','1996-09-24 00:00:00.000','1996-09-03 00:00:00.000',1,79.7,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); -INSERT INTO Orders Values ('10291','QUEDE',6,'1996-08-27 00:00:00.000','1996-09-24 00:00:00.000','1996-09-04 00:00:00.000',2,6.4,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10292','TRADH',1,'1996-08-28 00:00:00.000','1996-09-25 00:00:00.000','1996-09-02 00:00:00.000',2,1.35,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); -INSERT INTO Orders Values ('10293','TORTU',1,'1996-08-29 00:00:00.000','1996-09-26 00:00:00.000','1996-09-11 00:00:00.000',3,21.18,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10294','RATTC',4,'1996-08-30 00:00:00.000','1996-09-27 00:00:00.000','1996-09-05 00:00:00.000',2,147.26,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10295','VINET',2,'1996-09-02 00:00:00.000','1996-09-30 00:00:00.000','1996-09-10 00:00:00.000',2,1.15,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); -INSERT INTO Orders Values ('10296','LILAS',6,'1996-09-03 00:00:00.000','1996-10-01 00:00:00.000','1996-09-11 00:00:00.000',1,0.12,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10297','BLONP',5,'1996-09-04 00:00:00.000','1996-10-16 00:00:00.000','1996-09-10 00:00:00.000',2,5.74,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10298','HUNGO',6,'1996-09-05 00:00:00.000','1996-10-03 00:00:00.000','1996-09-11 00:00:00.000',2,168.22,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10299','RICAR',4,'1996-09-06 00:00:00.000','1996-10-04 00:00:00.000','1996-09-13 00:00:00.000',2,29.76,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10300','MAGAA',2,'1996-09-09 00:00:00.000','1996-10-07 00:00:00.000','1996-09-18 00:00:00.000',2,17.68,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10301','WANDK',8,'1996-09-09 00:00:00.000','1996-10-07 00:00:00.000','1996-09-17 00:00:00.000',2,45.08,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10302','SUPRD',4,'1996-09-10 00:00:00.000','1996-10-08 00:00:00.000','1996-10-09 00:00:00.000',2,6.27,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10303','GODOS',7,'1996-09-11 00:00:00.000','1996-10-09 00:00:00.000','1996-09-18 00:00:00.000',2,107.83,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10304','TORTU',1,'1996-09-12 00:00:00.000','1996-10-10 00:00:00.000','1996-09-17 00:00:00.000',2,63.79,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10305','OLDWO',8,'1996-09-13 00:00:00.000','1996-10-11 00:00:00.000','1996-10-09 00:00:00.000',3,257.62,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10306','ROMEY',1,'1996-09-16 00:00:00.000','1996-10-14 00:00:00.000','1996-09-23 00:00:00.000',3,7.56,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); -INSERT INTO Orders Values ('10307','LONEP',2,'1996-09-17 00:00:00.000','1996-10-15 00:00:00.000','1996-09-25 00:00:00.000',2,0.56,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10308','ANATR',7,'1996-09-18 00:00:00.000','1996-10-16 00:00:00.000','1996-09-24 00:00:00.000',3,1.61,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); -INSERT INTO Orders Values ('10309','HUNGO',3,'1996-09-19 00:00:00.000','1996-10-17 00:00:00.000','1996-10-23 00:00:00.000',1,47.3,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10310','THEBI',8,'1996-09-20 00:00:00.000','1996-10-18 00:00:00.000','1996-09-27 00:00:00.000',2,17.52,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); -INSERT INTO Orders Values ('10311','DUMON',1,'1996-09-20 00:00:00.000','1996-10-04 00:00:00.000','1996-09-26 00:00:00.000',3,24.69,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10312','WANDK',2,'1996-09-23 00:00:00.000','1996-10-21 00:00:00.000','1996-10-03 00:00:00.000',2,40.26,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10313','QUICK',2,'1996-09-24 00:00:00.000','1996-10-22 00:00:00.000','1996-10-04 00:00:00.000',2,1.96,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10314','RATTC',1,'1996-09-25 00:00:00.000','1996-10-23 00:00:00.000','1996-10-04 00:00:00.000',2,74.16,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10315','ISLAT',4,'1996-09-26 00:00:00.000','1996-10-24 00:00:00.000','1996-10-03 00:00:00.000',2,41.76,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10316','RATTC',1,'1996-09-27 00:00:00.000','1996-10-25 00:00:00.000','1996-10-08 00:00:00.000',3,150.15,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10317','LONEP',6,'1996-09-30 00:00:00.000','1996-10-28 00:00:00.000','1996-10-10 00:00:00.000',1,12.69,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10318','ISLAT',8,'1996-10-01 00:00:00.000','1996-10-29 00:00:00.000','1996-10-04 00:00:00.000',2,4.73,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10319','TORTU',7,'1996-10-02 00:00:00.000','1996-10-30 00:00:00.000','1996-10-11 00:00:00.000',3,64.5,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10320','WARTH',5,'1996-10-03 00:00:00.000','1996-10-17 00:00:00.000','1996-10-18 00:00:00.000',3,34.57,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10321','ISLAT',3,'1996-10-03 00:00:00.000','1996-10-31 00:00:00.000','1996-10-11 00:00:00.000',2,3.43,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10322','PERIC',7,'1996-10-04 00:00:00.000','1996-11-01 00:00:00.000','1996-10-23 00:00:00.000',3,0.4,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10323','KOENE',4,'1996-10-07 00:00:00.000','1996-11-04 00:00:00.000','1996-10-14 00:00:00.000',1,4.88,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10324','SAVEA',9,'1996-10-08 00:00:00.000','1996-11-05 00:00:00.000','1996-10-10 00:00:00.000',1,214.27,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10325','KOENE',1,'1996-10-09 00:00:00.000','1996-10-23 00:00:00.000','1996-10-14 00:00:00.000',3,64.86,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10326','BOLID',4,'1996-10-10 00:00:00.000','1996-11-07 00:00:00.000','1996-10-14 00:00:00.000',2,77.92,'B�lido Comidas preparadas','C/ Araquil, 67','Madrid',NULL,'28023','Spain'); -INSERT INTO Orders Values ('10327','FOLKO',2,'1996-10-11 00:00:00.000','1996-11-08 00:00:00.000','1996-10-14 00:00:00.000',1,63.36,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10328','FURIB',4,'1996-10-14 00:00:00.000','1996-11-11 00:00:00.000','1996-10-17 00:00:00.000',3,87.03,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10329','SPLIR',4,'1996-10-15 00:00:00.000','1996-11-26 00:00:00.000','1996-10-23 00:00:00.000',2,191.67,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10330','LILAS',3,'1996-10-16 00:00:00.000','1996-11-13 00:00:00.000','1996-10-28 00:00:00.000',1,12.75,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10331','BONAP',9,'1996-10-16 00:00:00.000','1996-11-27 00:00:00.000','1996-10-21 00:00:00.000',1,10.19,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10332','MEREP',3,'1996-10-17 00:00:00.000','1996-11-28 00:00:00.000','1996-10-21 00:00:00.000',2,52.84,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10333','WARTH',5,'1996-10-18 00:00:00.000','1996-11-15 00:00:00.000','1996-10-25 00:00:00.000',3,0.59,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10334','VICTE',8,'1996-10-21 00:00:00.000','1996-11-18 00:00:00.000','1996-10-28 00:00:00.000',2,8.56,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10335','HUNGO',7,'1996-10-22 00:00:00.000','1996-11-19 00:00:00.000','1996-10-24 00:00:00.000',2,42.11,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10336','PRINI',7,'1996-10-23 00:00:00.000','1996-11-20 00:00:00.000','1996-10-25 00:00:00.000',2,15.51,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); -INSERT INTO Orders Values ('10337','FRANK',4,'1996-10-24 00:00:00.000','1996-11-21 00:00:00.000','1996-10-29 00:00:00.000',3,108.26,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10338','OLDWO',4,'1996-10-25 00:00:00.000','1996-11-22 00:00:00.000','1996-10-29 00:00:00.000',3,84.21,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10339','MEREP',2,'1996-10-28 00:00:00.000','1996-11-25 00:00:00.000','1996-11-04 00:00:00.000',2,15.66,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10340','BONAP',1,'1996-10-29 00:00:00.000','1996-11-26 00:00:00.000','1996-11-08 00:00:00.000',3,166.31,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10341','SIMOB',7,'1996-10-29 00:00:00.000','1996-11-26 00:00:00.000','1996-11-05 00:00:00.000',3,26.78,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('10342','FRANK',4,'1996-10-30 00:00:00.000','1996-11-13 00:00:00.000','1996-11-04 00:00:00.000',2,54.83,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10343','LEHMS',4,'1996-10-31 00:00:00.000','1996-11-28 00:00:00.000','1996-11-06 00:00:00.000',1,110.37,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10344','WHITC',4,'1996-11-01 00:00:00.000','1996-11-29 00:00:00.000','1996-11-05 00:00:00.000',2,23.29,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10345','QUICK',2,'1996-11-04 00:00:00.000','1996-12-02 00:00:00.000','1996-11-11 00:00:00.000',2,249.06,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10346','RATTC',3,'1996-11-05 00:00:00.000','1996-12-17 00:00:00.000','1996-11-08 00:00:00.000',3,142.08,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10347','FAMIA',4,'1996-11-06 00:00:00.000','1996-12-04 00:00:00.000','1996-11-08 00:00:00.000',3,3.1,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10348','WANDK',4,'1996-11-07 00:00:00.000','1996-12-05 00:00:00.000','1996-11-15 00:00:00.000',2,0.78,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10349','SPLIR',7,'1996-11-08 00:00:00.000','1996-12-06 00:00:00.000','1996-11-15 00:00:00.000',1,8.63,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10350','LAMAI',6,'1996-11-11 00:00:00.000','1996-12-09 00:00:00.000','1996-12-03 00:00:00.000',2,64.19,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10351','ERNSH',1,'1996-11-11 00:00:00.000','1996-12-09 00:00:00.000','1996-11-20 00:00:00.000',1,162.33,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10352','FURIB',3,'1996-11-12 00:00:00.000','1996-11-26 00:00:00.000','1996-11-18 00:00:00.000',3,1.3,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10353','PICCO',7,'1996-11-13 00:00:00.000','1996-12-11 00:00:00.000','1996-11-25 00:00:00.000',3,360.63,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10354','PERIC',8,'1996-11-14 00:00:00.000','1996-12-12 00:00:00.000','1996-11-20 00:00:00.000',3,53.8,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10355','AROUT',6,'1996-11-15 00:00:00.000','1996-12-13 00:00:00.000','1996-11-20 00:00:00.000',1,41.95,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10356','WANDK',6,'1996-11-18 00:00:00.000','1996-12-16 00:00:00.000','1996-11-27 00:00:00.000',2,36.71,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10357','LILAS',1,'1996-11-19 00:00:00.000','1996-12-17 00:00:00.000','1996-12-02 00:00:00.000',3,34.88,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10358','LAMAI',5,'1996-11-20 00:00:00.000','1996-12-18 00:00:00.000','1996-11-27 00:00:00.000',1,19.64,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10359','SEVES',5,'1996-11-21 00:00:00.000','1996-12-19 00:00:00.000','1996-11-26 00:00:00.000',3,288.43,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10360','BLONP',4,'1996-11-22 00:00:00.000','1996-12-20 00:00:00.000','1996-12-02 00:00:00.000',3,131.7,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10361','QUICK',1,'1996-11-22 00:00:00.000','1996-12-20 00:00:00.000','1996-12-03 00:00:00.000',2,183.17,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10362','BONAP',3,'1996-11-25 00:00:00.000','1996-12-23 00:00:00.000','1996-11-28 00:00:00.000',1,96.04,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10363','DRACD',4,'1996-11-26 00:00:00.000','1996-12-24 00:00:00.000','1996-12-04 00:00:00.000',3,30.54,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); -INSERT INTO Orders Values ('10364','EASTC',1,'1996-11-26 00:00:00.000','1997-01-07 00:00:00.000','1996-12-04 00:00:00.000',1,71.97,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('10365','ANTON',3,'1996-11-27 00:00:00.000','1996-12-25 00:00:00.000','1996-12-02 00:00:00.000',2,22,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10366','GALED',8,'1996-11-28 00:00:00.000','1997-01-09 00:00:00.000','1996-12-30 00:00:00.000',2,10.14,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); -INSERT INTO Orders Values ('10367','VAFFE',7,'1996-11-28 00:00:00.000','1996-12-26 00:00:00.000','1996-12-02 00:00:00.000',3,13.55,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10368','ERNSH',2,'1996-11-29 00:00:00.000','1996-12-27 00:00:00.000','1996-12-02 00:00:00.000',2,101.95,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10369','SPLIR',8,'1996-12-02 00:00:00.000','1996-12-30 00:00:00.000','1996-12-09 00:00:00.000',2,195.68,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10370','CHOPS',6,'1996-12-03 00:00:00.000','1996-12-31 00:00:00.000','1996-12-27 00:00:00.000',2,1.17,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('10371','LAMAI',1,'1996-12-03 00:00:00.000','1996-12-31 00:00:00.000','1996-12-24 00:00:00.000',1,0.45,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10372','QUEEN',5,'1996-12-04 00:00:00.000','1997-01-01 00:00:00.000','1996-12-09 00:00:00.000',2,890.78,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10373','HUNGO',4,'1996-12-05 00:00:00.000','1997-01-02 00:00:00.000','1996-12-11 00:00:00.000',3,124.12,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10374','WOLZA',1,'1996-12-05 00:00:00.000','1997-01-02 00:00:00.000','1996-12-09 00:00:00.000',3,3.94,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('10375','HUNGC',3,'1996-12-06 00:00:00.000','1997-01-03 00:00:00.000','1996-12-09 00:00:00.000',2,20.12,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); -INSERT INTO Orders Values ('10376','MEREP',1,'1996-12-09 00:00:00.000','1997-01-06 00:00:00.000','1996-12-13 00:00:00.000',2,20.39,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10377','SEVES',1,'1996-12-09 00:00:00.000','1997-01-06 00:00:00.000','1996-12-13 00:00:00.000',3,22.21,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10378','FOLKO',5,'1996-12-10 00:00:00.000','1997-01-07 00:00:00.000','1996-12-19 00:00:00.000',3,5.44,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10379','QUEDE',2,'1996-12-11 00:00:00.000','1997-01-08 00:00:00.000','1996-12-13 00:00:00.000',1,45.03,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10380','HUNGO',8,'1996-12-12 00:00:00.000','1997-01-09 00:00:00.000','1997-01-16 00:00:00.000',3,35.03,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10381','LILAS',3,'1996-12-12 00:00:00.000','1997-01-09 00:00:00.000','1996-12-13 00:00:00.000',3,7.99,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10382','ERNSH',4,'1996-12-13 00:00:00.000','1997-01-10 00:00:00.000','1996-12-16 00:00:00.000',1,94.77,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10383','AROUT',8,'1996-12-16 00:00:00.000','1997-01-13 00:00:00.000','1996-12-18 00:00:00.000',3,34.24,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10384','BERGS',3,'1996-12-16 00:00:00.000','1997-01-13 00:00:00.000','1996-12-20 00:00:00.000',3,168.64,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10385','SPLIR',1,'1996-12-17 00:00:00.000','1997-01-14 00:00:00.000','1996-12-23 00:00:00.000',2,30.96,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10386','FAMIA',9,'1996-12-18 00:00:00.000','1997-01-01 00:00:00.000','1996-12-25 00:00:00.000',3,13.99,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10387','SANTG',1,'1996-12-18 00:00:00.000','1997-01-15 00:00:00.000','1996-12-20 00:00:00.000',2,93.63,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); -INSERT INTO Orders Values ('10388','SEVES',2,'1996-12-19 00:00:00.000','1997-01-16 00:00:00.000','1996-12-20 00:00:00.000',1,34.86,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10389','BOTTM',4,'1996-12-20 00:00:00.000','1997-01-17 00:00:00.000','1996-12-24 00:00:00.000',2,47.42,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10390','ERNSH',6,'1996-12-23 00:00:00.000','1997-01-20 00:00:00.000','1996-12-26 00:00:00.000',1,126.38,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10391','DRACD',3,'1996-12-23 00:00:00.000','1997-01-20 00:00:00.000','1996-12-31 00:00:00.000',3,5.45,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); -INSERT INTO Orders Values ('10392','PICCO',2,'1996-12-24 00:00:00.000','1997-01-21 00:00:00.000','1997-01-01 00:00:00.000',3,122.46,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10393','SAVEA',1,'1996-12-25 00:00:00.000','1997-01-22 00:00:00.000','1997-01-03 00:00:00.000',3,126.56,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10394','HUNGC',1,'1996-12-25 00:00:00.000','1997-01-22 00:00:00.000','1997-01-03 00:00:00.000',3,30.34,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); -INSERT INTO Orders Values ('10395','HILAA',6,'1996-12-26 00:00:00.000','1997-01-23 00:00:00.000','1997-01-03 00:00:00.000',1,184.41,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10396','FRANK',1,'1996-12-27 00:00:00.000','1997-01-10 00:00:00.000','1997-01-06 00:00:00.000',3,135.35,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10397','PRINI',5,'1996-12-27 00:00:00.000','1997-01-24 00:00:00.000','1997-01-02 00:00:00.000',1,60.26,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); -INSERT INTO Orders Values ('10398','SAVEA',2,'1996-12-30 00:00:00.000','1997-01-27 00:00:00.000','1997-01-09 00:00:00.000',3,89.16,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10399','VAFFE',8,'1996-12-31 00:00:00.000','1997-01-14 00:00:00.000','1997-01-08 00:00:00.000',3,27.36,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10400','EASTC',1,'1997-01-01 00:00:00.000','1997-01-29 00:00:00.000','1997-01-16 00:00:00.000',3,83.93,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('10401','RATTC',1,'1997-01-01 00:00:00.000','1997-01-29 00:00:00.000','1997-01-10 00:00:00.000',1,12.51,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10402','ERNSH',8,'1997-01-02 00:00:00.000','1997-02-13 00:00:00.000','1997-01-10 00:00:00.000',2,67.88,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10403','ERNSH',4,'1997-01-03 00:00:00.000','1997-01-31 00:00:00.000','1997-01-09 00:00:00.000',3,73.79,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10404','MAGAA',2,'1997-01-03 00:00:00.000','1997-01-31 00:00:00.000','1997-01-08 00:00:00.000',1,155.97,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10405','LINOD',1,'1997-01-06 00:00:00.000','1997-02-03 00:00:00.000','1997-01-22 00:00:00.000',1,34.82,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10406','QUEEN',7,'1997-01-07 00:00:00.000','1997-02-18 00:00:00.000','1997-01-13 00:00:00.000',1,108.04,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10407','OTTIK',2,'1997-01-07 00:00:00.000','1997-02-04 00:00:00.000','1997-01-30 00:00:00.000',2,91.48,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10408','FOLIG',8,'1997-01-08 00:00:00.000','1997-02-05 00:00:00.000','1997-01-14 00:00:00.000',1,11.26,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); -INSERT INTO Orders Values ('10409','OCEAN',3,'1997-01-09 00:00:00.000','1997-02-06 00:00:00.000','1997-01-14 00:00:00.000',1,29.83,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10410','BOTTM',3,'1997-01-10 00:00:00.000','1997-02-07 00:00:00.000','1997-01-15 00:00:00.000',3,2.4,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10411','BOTTM',9,'1997-01-10 00:00:00.000','1997-02-07 00:00:00.000','1997-01-21 00:00:00.000',3,23.65,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10412','WARTH',8,'1997-01-13 00:00:00.000','1997-02-10 00:00:00.000','1997-01-15 00:00:00.000',2,3.77,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10413','LAMAI',3,'1997-01-14 00:00:00.000','1997-02-11 00:00:00.000','1997-01-16 00:00:00.000',2,95.66,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10414','FAMIA',2,'1997-01-14 00:00:00.000','1997-02-11 00:00:00.000','1997-01-17 00:00:00.000',3,21.48,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10415','HUNGC',3,'1997-01-15 00:00:00.000','1997-02-12 00:00:00.000','1997-01-24 00:00:00.000',1,0.2,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); -INSERT INTO Orders Values ('10416','WARTH',8,'1997-01-16 00:00:00.000','1997-02-13 00:00:00.000','1997-01-27 00:00:00.000',3,22.72,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10417','SIMOB',4,'1997-01-16 00:00:00.000','1997-02-13 00:00:00.000','1997-01-28 00:00:00.000',3,70.29,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('10418','QUICK',4,'1997-01-17 00:00:00.000','1997-02-14 00:00:00.000','1997-01-24 00:00:00.000',1,17.55,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10419','RICSU',4,'1997-01-20 00:00:00.000','1997-02-17 00:00:00.000','1997-01-30 00:00:00.000',2,137.35,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10420','WELLI',3,'1997-01-21 00:00:00.000','1997-02-18 00:00:00.000','1997-01-27 00:00:00.000',1,44.12,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10421','QUEDE',8,'1997-01-21 00:00:00.000','1997-03-04 00:00:00.000','1997-01-27 00:00:00.000',1,99.23,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10422','FRANS',2,'1997-01-22 00:00:00.000','1997-02-19 00:00:00.000','1997-01-31 00:00:00.000',1,3.02,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); -INSERT INTO Orders Values ('10423','GOURL',6,'1997-01-23 00:00:00.000','1997-02-06 00:00:00.000','1997-02-24 00:00:00.000',3,24.5,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10424','MEREP',7,'1997-01-23 00:00:00.000','1997-02-20 00:00:00.000','1997-01-27 00:00:00.000',2,370.61,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10425','LAMAI',6,'1997-01-24 00:00:00.000','1997-02-21 00:00:00.000','1997-02-14 00:00:00.000',2,7.93,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10426','GALED',4,'1997-01-27 00:00:00.000','1997-02-24 00:00:00.000','1997-02-06 00:00:00.000',1,18.69,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); -INSERT INTO Orders Values ('10427','PICCO',4,'1997-01-27 00:00:00.000','1997-02-24 00:00:00.000','1997-03-03 00:00:00.000',2,31.29,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10428','REGGC',7,'1997-01-28 00:00:00.000','1997-02-25 00:00:00.000','1997-02-04 00:00:00.000',1,11.09,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10429','HUNGO',3,'1997-01-29 00:00:00.000','1997-03-12 00:00:00.000','1997-02-07 00:00:00.000',2,56.63,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10430','ERNSH',4,'1997-01-30 00:00:00.000','1997-02-13 00:00:00.000','1997-02-03 00:00:00.000',1,458.78,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10431','BOTTM',4,'1997-01-30 00:00:00.000','1997-02-13 00:00:00.000','1997-02-07 00:00:00.000',2,44.17,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10432','SPLIR',3,'1997-01-31 00:00:00.000','1997-02-14 00:00:00.000','1997-02-07 00:00:00.000',2,4.34,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10433','PRINI',3,'1997-02-03 00:00:00.000','1997-03-03 00:00:00.000','1997-03-04 00:00:00.000',3,73.83,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); -INSERT INTO Orders Values ('10434','FOLKO',3,'1997-02-03 00:00:00.000','1997-03-03 00:00:00.000','1997-02-13 00:00:00.000',2,17.92,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10435','CONSH',8,'1997-02-04 00:00:00.000','1997-03-18 00:00:00.000','1997-02-07 00:00:00.000',2,9.21,'Consolidated Holdings','Berkeley Gardens 12 �Brewery','London',NULL,'WX1 6LT','UK'); -INSERT INTO Orders Values ('10436','BLONP',3,'1997-02-05 00:00:00.000','1997-03-05 00:00:00.000','1997-02-11 00:00:00.000',2,156.66,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10437','WARTH',8,'1997-02-05 00:00:00.000','1997-03-05 00:00:00.000','1997-02-12 00:00:00.000',1,19.97,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10438','TOMSP',3,'1997-02-06 00:00:00.000','1997-03-06 00:00:00.000','1997-02-14 00:00:00.000',2,8.24,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); -INSERT INTO Orders Values ('10439','MEREP',6,'1997-02-07 00:00:00.000','1997-03-07 00:00:00.000','1997-02-10 00:00:00.000',3,4.07,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10440','SAVEA',4,'1997-02-10 00:00:00.000','1997-03-10 00:00:00.000','1997-02-28 00:00:00.000',2,86.53,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10441','OLDWO',3,'1997-02-10 00:00:00.000','1997-03-24 00:00:00.000','1997-03-14 00:00:00.000',2,73.02,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10442','ERNSH',3,'1997-02-11 00:00:00.000','1997-03-11 00:00:00.000','1997-02-18 00:00:00.000',2,47.94,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10443','REGGC',8,'1997-02-12 00:00:00.000','1997-03-12 00:00:00.000','1997-02-14 00:00:00.000',1,13.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10444','BERGS',3,'1997-02-12 00:00:00.000','1997-03-12 00:00:00.000','1997-02-21 00:00:00.000',3,3.5,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10445','BERGS',3,'1997-02-13 00:00:00.000','1997-03-13 00:00:00.000','1997-02-20 00:00:00.000',1,9.3,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10446','TOMSP',6,'1997-02-14 00:00:00.000','1997-03-14 00:00:00.000','1997-02-19 00:00:00.000',1,14.68,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); -INSERT INTO Orders Values ('10447','RICAR',4,'1997-02-14 00:00:00.000','1997-03-14 00:00:00.000','1997-03-07 00:00:00.000',2,68.66,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10448','RANCH',4,'1997-02-17 00:00:00.000','1997-03-17 00:00:00.000','1997-02-24 00:00:00.000',2,38.82,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10449','BLONP',3,'1997-02-18 00:00:00.000','1997-03-18 00:00:00.000','1997-02-27 00:00:00.000',2,53.3,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10450','VICTE',8,'1997-02-19 00:00:00.000','1997-03-19 00:00:00.000','1997-03-11 00:00:00.000',2,7.23,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10451','QUICK',4,'1997-02-19 00:00:00.000','1997-03-05 00:00:00.000','1997-03-12 00:00:00.000',3,189.09,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10452','SAVEA',8,'1997-02-20 00:00:00.000','1997-03-20 00:00:00.000','1997-02-26 00:00:00.000',1,140.26,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10453','AROUT',1,'1997-02-21 00:00:00.000','1997-03-21 00:00:00.000','1997-02-26 00:00:00.000',2,25.36,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10454','LAMAI',4,'1997-02-21 00:00:00.000','1997-03-21 00:00:00.000','1997-02-25 00:00:00.000',3,2.74,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10455','WARTH',8,'1997-02-24 00:00:00.000','1997-04-07 00:00:00.000','1997-03-03 00:00:00.000',2,180.45,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10456','KOENE',8,'1997-02-25 00:00:00.000','1997-04-08 00:00:00.000','1997-02-28 00:00:00.000',2,8.12,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10457','KOENE',2,'1997-02-25 00:00:00.000','1997-03-25 00:00:00.000','1997-03-03 00:00:00.000',1,11.57,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10458','SUPRD',7,'1997-02-26 00:00:00.000','1997-03-26 00:00:00.000','1997-03-04 00:00:00.000',3,147.06,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10459','VICTE',4,'1997-02-27 00:00:00.000','1997-03-27 00:00:00.000','1997-02-28 00:00:00.000',2,25.09,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10460','FOLKO',8,'1997-02-28 00:00:00.000','1997-03-28 00:00:00.000','1997-03-03 00:00:00.000',1,16.27,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10461','LILAS',1,'1997-02-28 00:00:00.000','1997-03-28 00:00:00.000','1997-03-05 00:00:00.000',3,148.61,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10462','CONSH',2,'1997-03-03 00:00:00.000','1997-03-31 00:00:00.000','1997-03-18 00:00:00.000',1,6.17,'Consolidated Holdings','Berkeley Gardens 12 �Brewery','London',NULL,'WX1 6LT','UK'); -INSERT INTO Orders Values ('10463','SUPRD',5,'1997-03-04 00:00:00.000','1997-04-01 00:00:00.000','1997-03-06 00:00:00.000',3,14.78,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10464','FURIB',4,'1997-03-04 00:00:00.000','1997-04-01 00:00:00.000','1997-03-14 00:00:00.000',2,89,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10465','VAFFE',1,'1997-03-05 00:00:00.000','1997-04-02 00:00:00.000','1997-03-14 00:00:00.000',3,145.04,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10466','COMMI',4,'1997-03-06 00:00:00.000','1997-04-03 00:00:00.000','1997-03-13 00:00:00.000',1,11.93,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); -INSERT INTO Orders Values ('10467','MAGAA',8,'1997-03-06 00:00:00.000','1997-04-03 00:00:00.000','1997-03-11 00:00:00.000',2,4.93,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10468','KOENE',3,'1997-03-07 00:00:00.000','1997-04-04 00:00:00.000','1997-03-12 00:00:00.000',3,44.12,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10469','WHITC',1,'1997-03-10 00:00:00.000','1997-04-07 00:00:00.000','1997-03-14 00:00:00.000',1,60.18,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10470','BONAP',4,'1997-03-11 00:00:00.000','1997-04-08 00:00:00.000','1997-03-14 00:00:00.000',2,64.56,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10471','BSBEV',2,'1997-03-11 00:00:00.000','1997-04-08 00:00:00.000','1997-03-18 00:00:00.000',3,45.59,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10472','SEVES',8,'1997-03-12 00:00:00.000','1997-04-09 00:00:00.000','1997-03-19 00:00:00.000',1,4.2,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10473','ISLAT',1,'1997-03-13 00:00:00.000','1997-03-27 00:00:00.000','1997-03-21 00:00:00.000',3,16.37,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10474','PERIC',5,'1997-03-13 00:00:00.000','1997-04-10 00:00:00.000','1997-03-21 00:00:00.000',2,83.49,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10475','SUPRD',9,'1997-03-14 00:00:00.000','1997-04-11 00:00:00.000','1997-04-04 00:00:00.000',1,68.52,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10476','HILAA',8,'1997-03-17 00:00:00.000','1997-04-14 00:00:00.000','1997-03-24 00:00:00.000',3,4.41,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10477','PRINI',5,'1997-03-17 00:00:00.000','1997-04-14 00:00:00.000','1997-03-25 00:00:00.000',2,13.02,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); -INSERT INTO Orders Values ('10478','VICTE',2,'1997-03-18 00:00:00.000','1997-04-01 00:00:00.000','1997-03-26 00:00:00.000',3,4.81,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10479','RATTC',3,'1997-03-19 00:00:00.000','1997-04-16 00:00:00.000','1997-03-21 00:00:00.000',3,708.95,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10480','FOLIG',6,'1997-03-20 00:00:00.000','1997-04-17 00:00:00.000','1997-03-24 00:00:00.000',2,1.35,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); -INSERT INTO Orders Values ('10481','RICAR',8,'1997-03-20 00:00:00.000','1997-04-17 00:00:00.000','1997-03-25 00:00:00.000',2,64.33,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10482','LAZYK',1,'1997-03-21 00:00:00.000','1997-04-18 00:00:00.000','1997-04-10 00:00:00.000',3,7.48,'Lazy K Kountry Store','12 Orchestra Terrace','Walla Walla','WA','99362','USA'); -INSERT INTO Orders Values ('10483','WHITC',7,'1997-03-24 00:00:00.000','1997-04-21 00:00:00.000','1997-04-25 00:00:00.000',2,15.28,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10484','BSBEV',3,'1997-03-24 00:00:00.000','1997-04-21 00:00:00.000','1997-04-01 00:00:00.000',3,6.88,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10485','LINOD',4,'1997-03-25 00:00:00.000','1997-04-08 00:00:00.000','1997-03-31 00:00:00.000',2,64.45,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10486','HILAA',1,'1997-03-26 00:00:00.000','1997-04-23 00:00:00.000','1997-04-02 00:00:00.000',2,30.53,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10487','QUEEN',2,'1997-03-26 00:00:00.000','1997-04-23 00:00:00.000','1997-03-28 00:00:00.000',2,71.07,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10488','FRANK',8,'1997-03-27 00:00:00.000','1997-04-24 00:00:00.000','1997-04-02 00:00:00.000',2,4.93,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10489','PICCO',6,'1997-03-28 00:00:00.000','1997-04-25 00:00:00.000','1997-04-09 00:00:00.000',2,5.29,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10490','HILAA',7,'1997-03-31 00:00:00.000','1997-04-28 00:00:00.000','1997-04-03 00:00:00.000',2,210.19,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10491','FURIB',8,'1997-03-31 00:00:00.000','1997-04-28 00:00:00.000','1997-04-08 00:00:00.000',3,16.96,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10492','BOTTM',3,'1997-04-01 00:00:00.000','1997-04-29 00:00:00.000','1997-04-11 00:00:00.000',1,62.89,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10493','LAMAI',4,'1997-04-02 00:00:00.000','1997-04-30 00:00:00.000','1997-04-10 00:00:00.000',3,10.64,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10494','COMMI',4,'1997-04-02 00:00:00.000','1997-04-30 00:00:00.000','1997-04-09 00:00:00.000',2,65.99,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); -INSERT INTO Orders Values ('10495','LAUGB',3,'1997-04-03 00:00:00.000','1997-05-01 00:00:00.000','1997-04-11 00:00:00.000',3,4.65,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'); -INSERT INTO Orders Values ('10496','TRADH',7,'1997-04-04 00:00:00.000','1997-05-02 00:00:00.000','1997-04-07 00:00:00.000',2,46.77,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); -INSERT INTO Orders Values ('10497','LEHMS',7,'1997-04-04 00:00:00.000','1997-05-02 00:00:00.000','1997-04-07 00:00:00.000',1,36.21,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10498','HILAA',8,'1997-04-07 00:00:00.000','1997-05-05 00:00:00.000','1997-04-11 00:00:00.000',2,29.75,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10499','LILAS',4,'1997-04-08 00:00:00.000','1997-05-06 00:00:00.000','1997-04-16 00:00:00.000',2,102.02,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10500','LAMAI',6,'1997-04-09 00:00:00.000','1997-05-07 00:00:00.000','1997-04-17 00:00:00.000',1,42.68,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10501','BLAUS',9,'1997-04-09 00:00:00.000','1997-05-07 00:00:00.000','1997-04-16 00:00:00.000',3,8.85,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('10502','PERIC',2,'1997-04-10 00:00:00.000','1997-05-08 00:00:00.000','1997-04-29 00:00:00.000',1,69.32,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10503','HUNGO',6,'1997-04-11 00:00:00.000','1997-05-09 00:00:00.000','1997-04-16 00:00:00.000',2,16.74,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10504','WHITC',4,'1997-04-11 00:00:00.000','1997-05-09 00:00:00.000','1997-04-18 00:00:00.000',3,59.13,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10505','MEREP',3,'1997-04-14 00:00:00.000','1997-05-12 00:00:00.000','1997-04-21 00:00:00.000',3,7.13,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10506','KOENE',9,'1997-04-15 00:00:00.000','1997-05-13 00:00:00.000','1997-05-02 00:00:00.000',2,21.19,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10507','ANTON',7,'1997-04-15 00:00:00.000','1997-05-13 00:00:00.000','1997-04-22 00:00:00.000',1,47.45,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10508','OTTIK',1,'1997-04-16 00:00:00.000','1997-05-14 00:00:00.000','1997-05-13 00:00:00.000',2,4.99,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10509','BLAUS',4,'1997-04-17 00:00:00.000','1997-05-15 00:00:00.000','1997-04-29 00:00:00.000',1,0.15,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('10510','SAVEA',6,'1997-04-18 00:00:00.000','1997-05-16 00:00:00.000','1997-04-28 00:00:00.000',3,367.63,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10511','BONAP',4,'1997-04-18 00:00:00.000','1997-05-16 00:00:00.000','1997-04-21 00:00:00.000',3,350.64,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10512','FAMIA',7,'1997-04-21 00:00:00.000','1997-05-19 00:00:00.000','1997-04-24 00:00:00.000',2,3.53,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10513','WANDK',7,'1997-04-22 00:00:00.000','1997-06-03 00:00:00.000','1997-04-28 00:00:00.000',1,105.65,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10514','ERNSH',3,'1997-04-22 00:00:00.000','1997-05-20 00:00:00.000','1997-05-16 00:00:00.000',2,789.95,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10515','QUICK',2,'1997-04-23 00:00:00.000','1997-05-07 00:00:00.000','1997-05-23 00:00:00.000',1,204.47,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10516','HUNGO',2,'1997-04-24 00:00:00.000','1997-05-22 00:00:00.000','1997-05-01 00:00:00.000',3,62.78,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10517','NORTS',3,'1997-04-24 00:00:00.000','1997-05-22 00:00:00.000','1997-04-29 00:00:00.000',3,32.07,'North/South','South House 300 Queensbridge','London',NULL,'SW7 1RZ','UK'); -INSERT INTO Orders Values ('10518','TORTU',4,'1997-04-25 00:00:00.000','1997-05-09 00:00:00.000','1997-05-05 00:00:00.000',2,218.15,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10519','CHOPS',6,'1997-04-28 00:00:00.000','1997-05-26 00:00:00.000','1997-05-01 00:00:00.000',3,91.76,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('10520','SANTG',7,'1997-04-29 00:00:00.000','1997-05-27 00:00:00.000','1997-05-01 00:00:00.000',1,13.37,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); -INSERT INTO Orders Values ('10521','CACTU',8,'1997-04-29 00:00:00.000','1997-05-27 00:00:00.000','1997-05-02 00:00:00.000',2,17.22,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10522','LEHMS',4,'1997-04-30 00:00:00.000','1997-05-28 00:00:00.000','1997-05-06 00:00:00.000',1,45.33,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10523','SEVES',7,'1997-05-01 00:00:00.000','1997-05-29 00:00:00.000','1997-05-30 00:00:00.000',2,77.63,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10524','BERGS',1,'1997-05-01 00:00:00.000','1997-05-29 00:00:00.000','1997-05-07 00:00:00.000',2,244.79,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10525','BONAP',1,'1997-05-02 00:00:00.000','1997-05-30 00:00:00.000','1997-05-23 00:00:00.000',2,11.06,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10526','WARTH',4,'1997-05-05 00:00:00.000','1997-06-02 00:00:00.000','1997-05-15 00:00:00.000',2,58.59,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10527','QUICK',7,'1997-05-05 00:00:00.000','1997-06-02 00:00:00.000','1997-05-07 00:00:00.000',1,41.9,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10528','GREAL',6,'1997-05-06 00:00:00.000','1997-05-20 00:00:00.000','1997-05-09 00:00:00.000',2,3.35,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10529','MAISD',5,'1997-05-07 00:00:00.000','1997-06-04 00:00:00.000','1997-05-09 00:00:00.000',2,66.69,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('10530','PICCO',3,'1997-05-08 00:00:00.000','1997-06-05 00:00:00.000','1997-05-12 00:00:00.000',2,339.22,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10531','OCEAN',7,'1997-05-08 00:00:00.000','1997-06-05 00:00:00.000','1997-05-19 00:00:00.000',1,8.12,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10532','EASTC',7,'1997-05-09 00:00:00.000','1997-06-06 00:00:00.000','1997-05-12 00:00:00.000',3,74.46,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('10533','FOLKO',8,'1997-05-12 00:00:00.000','1997-06-09 00:00:00.000','1997-05-22 00:00:00.000',1,188.04,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10534','LEHMS',8,'1997-05-12 00:00:00.000','1997-06-09 00:00:00.000','1997-05-14 00:00:00.000',2,27.94,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10535','ANTON',4,'1997-05-13 00:00:00.000','1997-06-10 00:00:00.000','1997-05-21 00:00:00.000',1,15.64,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10536','LEHMS',3,'1997-05-14 00:00:00.000','1997-06-11 00:00:00.000','1997-06-06 00:00:00.000',2,58.88,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10537','RICSU',1,'1997-05-14 00:00:00.000','1997-05-28 00:00:00.000','1997-05-19 00:00:00.000',1,78.85,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10538','BSBEV',9,'1997-05-15 00:00:00.000','1997-06-12 00:00:00.000','1997-05-16 00:00:00.000',3,4.87,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10539','BSBEV',6,'1997-05-16 00:00:00.000','1997-06-13 00:00:00.000','1997-05-23 00:00:00.000',3,12.36,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10540','QUICK',3,'1997-05-19 00:00:00.000','1997-06-16 00:00:00.000','1997-06-13 00:00:00.000',3,1007.64,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10541','HANAR',2,'1997-05-19 00:00:00.000','1997-06-16 00:00:00.000','1997-05-29 00:00:00.000',1,68.65,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10542','KOENE',1,'1997-05-20 00:00:00.000','1997-06-17 00:00:00.000','1997-05-26 00:00:00.000',3,10.95,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10543','LILAS',8,'1997-05-21 00:00:00.000','1997-06-18 00:00:00.000','1997-05-23 00:00:00.000',2,48.17,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10544','LONEP',4,'1997-05-21 00:00:00.000','1997-06-18 00:00:00.000','1997-05-30 00:00:00.000',1,24.91,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10545','LAZYK',8,'1997-05-22 00:00:00.000','1997-06-19 00:00:00.000','1997-06-26 00:00:00.000',2,11.92,'Lazy K Kountry Store','12 Orchestra Terrace','Walla Walla','WA','99362','USA'); -INSERT INTO Orders Values ('10546','VICTE',1,'1997-05-23 00:00:00.000','1997-06-20 00:00:00.000','1997-05-27 00:00:00.000',3,194.72,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10547','SEVES',3,'1997-05-23 00:00:00.000','1997-06-20 00:00:00.000','1997-06-02 00:00:00.000',2,178.43,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10548','TOMSP',3,'1997-05-26 00:00:00.000','1997-06-23 00:00:00.000','1997-06-02 00:00:00.000',2,1.43,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); -INSERT INTO Orders Values ('10549','QUICK',5,'1997-05-27 00:00:00.000','1997-06-10 00:00:00.000','1997-05-30 00:00:00.000',1,171.24,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10550','GODOS',7,'1997-05-28 00:00:00.000','1997-06-25 00:00:00.000','1997-06-06 00:00:00.000',3,4.32,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10551','FURIB',4,'1997-05-28 00:00:00.000','1997-07-09 00:00:00.000','1997-06-06 00:00:00.000',3,72.95,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10552','HILAA',2,'1997-05-29 00:00:00.000','1997-06-26 00:00:00.000','1997-06-05 00:00:00.000',1,83.22,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10553','WARTH',2,'1997-05-30 00:00:00.000','1997-06-27 00:00:00.000','1997-06-03 00:00:00.000',2,149.49,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10554','OTTIK',4,'1997-05-30 00:00:00.000','1997-06-27 00:00:00.000','1997-06-05 00:00:00.000',3,120.97,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10555','SAVEA',6,'1997-06-02 00:00:00.000','1997-06-30 00:00:00.000','1997-06-04 00:00:00.000',3,252.49,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10556','SIMOB',2,'1997-06-03 00:00:00.000','1997-07-15 00:00:00.000','1997-06-13 00:00:00.000',1,9.8,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('10557','LEHMS',9,'1997-06-03 00:00:00.000','1997-06-17 00:00:00.000','1997-06-06 00:00:00.000',2,96.72,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10558','AROUT',1,'1997-06-04 00:00:00.000','1997-07-02 00:00:00.000','1997-06-10 00:00:00.000',2,72.97,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10559','BLONP',6,'1997-06-05 00:00:00.000','1997-07-03 00:00:00.000','1997-06-13 00:00:00.000',1,8.05,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10560','FRANK',8,'1997-06-06 00:00:00.000','1997-07-04 00:00:00.000','1997-06-09 00:00:00.000',1,36.65,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10561','FOLKO',2,'1997-06-06 00:00:00.000','1997-07-04 00:00:00.000','1997-06-09 00:00:00.000',2,242.21,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10562','REGGC',1,'1997-06-09 00:00:00.000','1997-07-07 00:00:00.000','1997-06-12 00:00:00.000',1,22.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10563','RICAR',2,'1997-06-10 00:00:00.000','1997-07-22 00:00:00.000','1997-06-24 00:00:00.000',2,60.43,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10564','RATTC',4,'1997-06-10 00:00:00.000','1997-07-08 00:00:00.000','1997-06-16 00:00:00.000',3,13.75,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10565','MEREP',8,'1997-06-11 00:00:00.000','1997-07-09 00:00:00.000','1997-06-18 00:00:00.000',2,7.15,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10566','BLONP',9,'1997-06-12 00:00:00.000','1997-07-10 00:00:00.000','1997-06-18 00:00:00.000',1,88.4,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10567','HUNGO',1,'1997-06-12 00:00:00.000','1997-07-10 00:00:00.000','1997-06-17 00:00:00.000',1,33.97,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10568','GALED',3,'1997-06-13 00:00:00.000','1997-07-11 00:00:00.000','1997-07-09 00:00:00.000',3,6.54,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); -INSERT INTO Orders Values ('10569','RATTC',5,'1997-06-16 00:00:00.000','1997-07-14 00:00:00.000','1997-07-11 00:00:00.000',1,58.98,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10570','MEREP',3,'1997-06-17 00:00:00.000','1997-07-15 00:00:00.000','1997-06-19 00:00:00.000',3,188.99,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10571','ERNSH',8,'1997-06-17 00:00:00.000','1997-07-29 00:00:00.000','1997-07-04 00:00:00.000',3,26.06,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10572','BERGS',3,'1997-06-18 00:00:00.000','1997-07-16 00:00:00.000','1997-06-25 00:00:00.000',2,116.43,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10573','ANTON',7,'1997-06-19 00:00:00.000','1997-07-17 00:00:00.000','1997-06-20 00:00:00.000',3,84.84,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10574','TRAIH',4,'1997-06-19 00:00:00.000','1997-07-17 00:00:00.000','1997-06-30 00:00:00.000',2,37.6,'Trail-s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'); -INSERT INTO Orders Values ('10575','MORGK',5,'1997-06-20 00:00:00.000','1997-07-04 00:00:00.000','1997-06-30 00:00:00.000',1,127.34,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); -INSERT INTO Orders Values ('10576','TORTU',3,'1997-06-23 00:00:00.000','1997-07-07 00:00:00.000','1997-06-30 00:00:00.000',3,18.56,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10577','TRAIH',9,'1997-06-23 00:00:00.000','1997-08-04 00:00:00.000','1997-06-30 00:00:00.000',2,25.41,'Trail-s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'); -INSERT INTO Orders Values ('10578','BSBEV',4,'1997-06-24 00:00:00.000','1997-07-22 00:00:00.000','1997-07-25 00:00:00.000',3,29.6,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10579','LETSS',1,'1997-06-25 00:00:00.000','1997-07-23 00:00:00.000','1997-07-04 00:00:00.000',2,13.73,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); -INSERT INTO Orders Values ('10580','OTTIK',4,'1997-06-26 00:00:00.000','1997-07-24 00:00:00.000','1997-07-01 00:00:00.000',3,75.89,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10581','FAMIA',3,'1997-06-26 00:00:00.000','1997-07-24 00:00:00.000','1997-07-02 00:00:00.000',1,3.01,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10582','BLAUS',3,'1997-06-27 00:00:00.000','1997-07-25 00:00:00.000','1997-07-14 00:00:00.000',2,27.71,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('10583','WARTH',2,'1997-06-30 00:00:00.000','1997-07-28 00:00:00.000','1997-07-04 00:00:00.000',2,7.28,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10584','BLONP',4,'1997-06-30 00:00:00.000','1997-07-28 00:00:00.000','1997-07-04 00:00:00.000',1,59.14,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10585','WELLI',7,'1997-07-01 00:00:00.000','1997-07-29 00:00:00.000','1997-07-10 00:00:00.000',1,13.41,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10586','REGGC',9,'1997-07-02 00:00:00.000','1997-07-30 00:00:00.000','1997-07-09 00:00:00.000',1,0.48,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10587','QUEDE',1,'1997-07-02 00:00:00.000','1997-07-30 00:00:00.000','1997-07-09 00:00:00.000',1,62.52,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10588','QUICK',2,'1997-07-03 00:00:00.000','1997-07-31 00:00:00.000','1997-07-10 00:00:00.000',3,194.67,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10589','GREAL',8,'1997-07-04 00:00:00.000','1997-08-01 00:00:00.000','1997-07-14 00:00:00.000',2,4.42,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10590','MEREP',4,'1997-07-07 00:00:00.000','1997-08-04 00:00:00.000','1997-07-14 00:00:00.000',3,44.77,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10591','VAFFE',1,'1997-07-07 00:00:00.000','1997-07-21 00:00:00.000','1997-07-16 00:00:00.000',1,55.92,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10592','LEHMS',3,'1997-07-08 00:00:00.000','1997-08-05 00:00:00.000','1997-07-16 00:00:00.000',1,32.1,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10593','LEHMS',7,'1997-07-09 00:00:00.000','1997-08-06 00:00:00.000','1997-08-13 00:00:00.000',2,174.2,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10594','OLDWO',3,'1997-07-09 00:00:00.000','1997-08-06 00:00:00.000','1997-07-16 00:00:00.000',2,5.24,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10595','ERNSH',2,'1997-07-10 00:00:00.000','1997-08-07 00:00:00.000','1997-07-14 00:00:00.000',1,96.78,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10596','WHITC',8,'1997-07-11 00:00:00.000','1997-08-08 00:00:00.000','1997-08-12 00:00:00.000',1,16.34,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10597','PICCO',7,'1997-07-11 00:00:00.000','1997-08-08 00:00:00.000','1997-07-18 00:00:00.000',3,35.12,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10598','RATTC',1,'1997-07-14 00:00:00.000','1997-08-11 00:00:00.000','1997-07-18 00:00:00.000',3,44.42,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10599','BSBEV',6,'1997-07-15 00:00:00.000','1997-08-26 00:00:00.000','1997-07-21 00:00:00.000',3,29.98,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10600','HUNGC',4,'1997-07-16 00:00:00.000','1997-08-13 00:00:00.000','1997-07-21 00:00:00.000',1,45.13,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); -INSERT INTO Orders Values ('10601','HILAA',7,'1997-07-16 00:00:00.000','1997-08-27 00:00:00.000','1997-07-22 00:00:00.000',1,58.3,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10602','VAFFE',8,'1997-07-17 00:00:00.000','1997-08-14 00:00:00.000','1997-07-22 00:00:00.000',2,2.92,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10603','SAVEA',8,'1997-07-18 00:00:00.000','1997-08-15 00:00:00.000','1997-08-08 00:00:00.000',2,48.77,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10604','FURIB',1,'1997-07-18 00:00:00.000','1997-08-15 00:00:00.000','1997-07-29 00:00:00.000',1,7.46,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10605','MEREP',1,'1997-07-21 00:00:00.000','1997-08-18 00:00:00.000','1997-07-29 00:00:00.000',2,379.13,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10606','TRADH',4,'1997-07-22 00:00:00.000','1997-08-19 00:00:00.000','1997-07-31 00:00:00.000',3,79.4,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); -INSERT INTO Orders Values ('10607','SAVEA',5,'1997-07-22 00:00:00.000','1997-08-19 00:00:00.000','1997-07-25 00:00:00.000',1,200.24,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10608','TOMSP',4,'1997-07-23 00:00:00.000','1997-08-20 00:00:00.000','1997-08-01 00:00:00.000',2,27.79,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); -INSERT INTO Orders Values ('10609','DUMON',7,'1997-07-24 00:00:00.000','1997-08-21 00:00:00.000','1997-07-30 00:00:00.000',2,1.85,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10610','LAMAI',8,'1997-07-25 00:00:00.000','1997-08-22 00:00:00.000','1997-08-06 00:00:00.000',1,26.78,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10611','WOLZA',6,'1997-07-25 00:00:00.000','1997-08-22 00:00:00.000','1997-08-01 00:00:00.000',2,80.65,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('10612','SAVEA',1,'1997-07-28 00:00:00.000','1997-08-25 00:00:00.000','1997-08-01 00:00:00.000',2,544.08,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10613','HILAA',4,'1997-07-29 00:00:00.000','1997-08-26 00:00:00.000','1997-08-01 00:00:00.000',2,8.11,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10614','BLAUS',8,'1997-07-29 00:00:00.000','1997-08-26 00:00:00.000','1997-08-01 00:00:00.000',3,1.93,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('10615','WILMK',2,'1997-07-30 00:00:00.000','1997-08-27 00:00:00.000','1997-08-06 00:00:00.000',3,0.75,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('10616','GREAL',1,'1997-07-31 00:00:00.000','1997-08-28 00:00:00.000','1997-08-05 00:00:00.000',2,116.53,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10617','GREAL',4,'1997-07-31 00:00:00.000','1997-08-28 00:00:00.000','1997-08-04 00:00:00.000',2,18.53,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10618','MEREP',1,'1997-08-01 00:00:00.000','1997-09-12 00:00:00.000','1997-08-08 00:00:00.000',1,154.68,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10619','MEREP',3,'1997-08-04 00:00:00.000','1997-09-01 00:00:00.000','1997-08-07 00:00:00.000',3,91.05,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10620','LAUGB',2,'1997-08-05 00:00:00.000','1997-09-02 00:00:00.000','1997-08-14 00:00:00.000',3,0.94,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'); -INSERT INTO Orders Values ('10621','ISLAT',4,'1997-08-05 00:00:00.000','1997-09-02 00:00:00.000','1997-08-11 00:00:00.000',2,23.73,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10622','RICAR',4,'1997-08-06 00:00:00.000','1997-09-03 00:00:00.000','1997-08-11 00:00:00.000',3,50.97,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10623','FRANK',8,'1997-08-07 00:00:00.000','1997-09-04 00:00:00.000','1997-08-12 00:00:00.000',2,97.18,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10624','THECR',4,'1997-08-07 00:00:00.000','1997-09-04 00:00:00.000','1997-08-19 00:00:00.000',2,94.8,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'); -INSERT INTO Orders Values ('10625','ANATR',3,'1997-08-08 00:00:00.000','1997-09-05 00:00:00.000','1997-08-14 00:00:00.000',1,43.9,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); -INSERT INTO Orders Values ('10626','BERGS',1,'1997-08-11 00:00:00.000','1997-09-08 00:00:00.000','1997-08-20 00:00:00.000',2,138.69,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10627','SAVEA',8,'1997-08-11 00:00:00.000','1997-09-22 00:00:00.000','1997-08-21 00:00:00.000',3,107.46,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10628','BLONP',4,'1997-08-12 00:00:00.000','1997-09-09 00:00:00.000','1997-08-20 00:00:00.000',3,30.36,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10629','GODOS',4,'1997-08-12 00:00:00.000','1997-09-09 00:00:00.000','1997-08-20 00:00:00.000',3,85.46,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10630','KOENE',1,'1997-08-13 00:00:00.000','1997-09-10 00:00:00.000','1997-08-19 00:00:00.000',2,32.35,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10631','LAMAI',8,'1997-08-14 00:00:00.000','1997-09-11 00:00:00.000','1997-08-15 00:00:00.000',1,0.87,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10632','WANDK',8,'1997-08-14 00:00:00.000','1997-09-11 00:00:00.000','1997-08-19 00:00:00.000',1,41.38,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10633','ERNSH',7,'1997-08-15 00:00:00.000','1997-09-12 00:00:00.000','1997-08-18 00:00:00.000',3,477.9,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10634','FOLIG',4,'1997-08-15 00:00:00.000','1997-09-12 00:00:00.000','1997-08-21 00:00:00.000',3,487.38,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); -INSERT INTO Orders Values ('10635','MAGAA',8,'1997-08-18 00:00:00.000','1997-09-15 00:00:00.000','1997-08-21 00:00:00.000',3,47.46,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10636','WARTH',4,'1997-08-19 00:00:00.000','1997-09-16 00:00:00.000','1997-08-26 00:00:00.000',1,1.15,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10637','QUEEN',6,'1997-08-19 00:00:00.000','1997-09-16 00:00:00.000','1997-08-26 00:00:00.000',1,201.29,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10638','LINOD',3,'1997-08-20 00:00:00.000','1997-09-17 00:00:00.000','1997-09-01 00:00:00.000',1,158.44,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10639','SANTG',7,'1997-08-20 00:00:00.000','1997-09-17 00:00:00.000','1997-08-27 00:00:00.000',3,38.64,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); -INSERT INTO Orders Values ('10640','WANDK',4,'1997-08-21 00:00:00.000','1997-09-18 00:00:00.000','1997-08-28 00:00:00.000',1,23.55,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10641','HILAA',4,'1997-08-22 00:00:00.000','1997-09-19 00:00:00.000','1997-08-26 00:00:00.000',2,179.61,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10642','SIMOB',7,'1997-08-22 00:00:00.000','1997-09-19 00:00:00.000','1997-09-05 00:00:00.000',3,41.89,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('10643','ALFKI',6,'1997-08-25 00:00:00.000','1997-09-22 00:00:00.000','1997-09-02 00:00:00.000',1,29.46,'Alfreds Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); -INSERT INTO Orders Values ('10644','WELLI',3,'1997-08-25 00:00:00.000','1997-09-22 00:00:00.000','1997-09-01 00:00:00.000',2,0.14,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10645','HANAR',4,'1997-08-26 00:00:00.000','1997-09-23 00:00:00.000','1997-09-02 00:00:00.000',1,12.41,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10646','HUNGO',9,'1997-08-27 00:00:00.000','1997-10-08 00:00:00.000','1997-09-03 00:00:00.000',3,142.33,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10647','QUEDE',4,'1997-08-27 00:00:00.000','1997-09-10 00:00:00.000','1997-09-03 00:00:00.000',2,45.54,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10648','RICAR',5,'1997-08-28 00:00:00.000','1997-10-09 00:00:00.000','1997-09-09 00:00:00.000',2,14.25,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10649','MAISD',5,'1997-08-28 00:00:00.000','1997-09-25 00:00:00.000','1997-08-29 00:00:00.000',3,6.2,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('10650','FAMIA',5,'1997-08-29 00:00:00.000','1997-09-26 00:00:00.000','1997-09-03 00:00:00.000',3,176.81,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10651','WANDK',8,'1997-09-01 00:00:00.000','1997-09-29 00:00:00.000','1997-09-11 00:00:00.000',2,20.6,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10652','GOURL',4,'1997-09-01 00:00:00.000','1997-09-29 00:00:00.000','1997-09-08 00:00:00.000',2,7.14,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10653','FRANK',1,'1997-09-02 00:00:00.000','1997-09-30 00:00:00.000','1997-09-19 00:00:00.000',1,93.25,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10654','BERGS',5,'1997-09-02 00:00:00.000','1997-09-30 00:00:00.000','1997-09-11 00:00:00.000',1,55.26,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10655','REGGC',1,'1997-09-03 00:00:00.000','1997-10-01 00:00:00.000','1997-09-11 00:00:00.000',2,4.41,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10656','GREAL',6,'1997-09-04 00:00:00.000','1997-10-02 00:00:00.000','1997-09-10 00:00:00.000',1,57.15,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10657','SAVEA',2,'1997-09-04 00:00:00.000','1997-10-02 00:00:00.000','1997-09-15 00:00:00.000',2,352.69,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10658','QUICK',4,'1997-09-05 00:00:00.000','1997-10-03 00:00:00.000','1997-09-08 00:00:00.000',1,364.15,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10659','QUEEN',7,'1997-09-05 00:00:00.000','1997-10-03 00:00:00.000','1997-09-10 00:00:00.000',2,105.81,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10660','HUNGC',8,'1997-09-08 00:00:00.000','1997-10-06 00:00:00.000','1997-10-15 00:00:00.000',1,111.29,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); -INSERT INTO Orders Values ('10661','HUNGO',7,'1997-09-09 00:00:00.000','1997-10-07 00:00:00.000','1997-09-15 00:00:00.000',3,17.55,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10662','LONEP',3,'1997-09-09 00:00:00.000','1997-10-07 00:00:00.000','1997-09-18 00:00:00.000',2,1.28,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10663','BONAP',2,'1997-09-10 00:00:00.000','1997-09-24 00:00:00.000','1997-10-03 00:00:00.000',2,113.15,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10664','FURIB',1,'1997-09-10 00:00:00.000','1997-10-08 00:00:00.000','1997-09-19 00:00:00.000',3,1.27,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10665','LONEP',1,'1997-09-11 00:00:00.000','1997-10-09 00:00:00.000','1997-09-17 00:00:00.000',2,26.31,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10666','RICSU',7,'1997-09-12 00:00:00.000','1997-10-10 00:00:00.000','1997-09-22 00:00:00.000',2,232.42,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10667','ERNSH',7,'1997-09-12 00:00:00.000','1997-10-10 00:00:00.000','1997-09-19 00:00:00.000',1,78.09,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10668','WANDK',1,'1997-09-15 00:00:00.000','1997-10-13 00:00:00.000','1997-09-23 00:00:00.000',2,47.22,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('10669','SIMOB',2,'1997-09-15 00:00:00.000','1997-10-13 00:00:00.000','1997-09-22 00:00:00.000',1,24.39,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('10670','FRANK',4,'1997-09-16 00:00:00.000','1997-10-14 00:00:00.000','1997-09-18 00:00:00.000',1,203.48,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10671','FRANR',1,'1997-09-17 00:00:00.000','1997-10-15 00:00:00.000','1997-09-24 00:00:00.000',1,30.34,'France restauration','54, rue Royale','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10672','BERGS',9,'1997-09-17 00:00:00.000','1997-10-01 00:00:00.000','1997-09-26 00:00:00.000',2,95.75,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10673','WILMK',2,'1997-09-18 00:00:00.000','1997-10-16 00:00:00.000','1997-09-19 00:00:00.000',1,22.76,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('10674','ISLAT',4,'1997-09-18 00:00:00.000','1997-10-16 00:00:00.000','1997-09-30 00:00:00.000',2,0.9,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10675','FRANK',5,'1997-09-19 00:00:00.000','1997-10-17 00:00:00.000','1997-09-23 00:00:00.000',2,31.85,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10676','TORTU',2,'1997-09-22 00:00:00.000','1997-10-20 00:00:00.000','1997-09-29 00:00:00.000',2,2.01,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10677','ANTON',1,'1997-09-22 00:00:00.000','1997-10-20 00:00:00.000','1997-09-26 00:00:00.000',3,4.03,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10678','SAVEA',7,'1997-09-23 00:00:00.000','1997-10-21 00:00:00.000','1997-10-16 00:00:00.000',3,388.98,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10679','BLONP',8,'1997-09-23 00:00:00.000','1997-10-21 00:00:00.000','1997-09-30 00:00:00.000',3,27.94,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10680','OLDWO',1,'1997-09-24 00:00:00.000','1997-10-22 00:00:00.000','1997-09-26 00:00:00.000',1,26.61,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10681','GREAL',3,'1997-09-25 00:00:00.000','1997-10-23 00:00:00.000','1997-09-30 00:00:00.000',3,76.13,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10682','ANTON',3,'1997-09-25 00:00:00.000','1997-10-23 00:00:00.000','1997-10-01 00:00:00.000',2,36.13,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10683','DUMON',2,'1997-09-26 00:00:00.000','1997-10-24 00:00:00.000','1997-10-01 00:00:00.000',1,4.4,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10684','OTTIK',3,'1997-09-26 00:00:00.000','1997-10-24 00:00:00.000','1997-09-30 00:00:00.000',1,145.63,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10685','GOURL',4,'1997-09-29 00:00:00.000','1997-10-13 00:00:00.000','1997-10-03 00:00:00.000',2,33.75,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10686','PICCO',2,'1997-09-30 00:00:00.000','1997-10-28 00:00:00.000','1997-10-08 00:00:00.000',1,96.5,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10687','HUNGO',9,'1997-09-30 00:00:00.000','1997-10-28 00:00:00.000','1997-10-30 00:00:00.000',2,296.43,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10688','VAFFE',4,'1997-10-01 00:00:00.000','1997-10-15 00:00:00.000','1997-10-07 00:00:00.000',2,299.09,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10689','BERGS',1,'1997-10-01 00:00:00.000','1997-10-29 00:00:00.000','1997-10-07 00:00:00.000',2,13.42,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10690','HANAR',1,'1997-10-02 00:00:00.000','1997-10-30 00:00:00.000','1997-10-03 00:00:00.000',1,15.8,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10691','QUICK',2,'1997-10-03 00:00:00.000','1997-11-14 00:00:00.000','1997-10-22 00:00:00.000',2,810.05,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10692','ALFKI',4,'1997-10-03 00:00:00.000','1997-10-31 00:00:00.000','1997-10-13 00:00:00.000',2,61.02,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); -INSERT INTO Orders Values ('10693','WHITC',3,'1997-10-06 00:00:00.000','1997-10-20 00:00:00.000','1997-10-10 00:00:00.000',3,139.34,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10694','QUICK',8,'1997-10-06 00:00:00.000','1997-11-03 00:00:00.000','1997-10-09 00:00:00.000',3,398.36,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10695','WILMK',7,'1997-10-07 00:00:00.000','1997-11-18 00:00:00.000','1997-10-14 00:00:00.000',1,16.72,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('10696','WHITC',8,'1997-10-08 00:00:00.000','1997-11-19 00:00:00.000','1997-10-14 00:00:00.000',3,102.55,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10697','LINOD',3,'1997-10-08 00:00:00.000','1997-11-05 00:00:00.000','1997-10-14 00:00:00.000',1,45.52,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10698','ERNSH',4,'1997-10-09 00:00:00.000','1997-11-06 00:00:00.000','1997-10-17 00:00:00.000',1,272.47,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10699','MORGK',3,'1997-10-09 00:00:00.000','1997-11-06 00:00:00.000','1997-10-13 00:00:00.000',3,0.58,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); -INSERT INTO Orders Values ('10700','SAVEA',3,'1997-10-10 00:00:00.000','1997-11-07 00:00:00.000','1997-10-16 00:00:00.000',1,65.1,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10701','HUNGO',6,'1997-10-13 00:00:00.000','1997-10-27 00:00:00.000','1997-10-15 00:00:00.000',3,220.31,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10702','ALFKI',4,'1997-10-13 00:00:00.000','1997-11-24 00:00:00.000','1997-10-21 00:00:00.000',1,23.94,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); -INSERT INTO Orders Values ('10703','FOLKO',6,'1997-10-14 00:00:00.000','1997-11-11 00:00:00.000','1997-10-20 00:00:00.000',2,152.3,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10704','QUEEN',6,'1997-10-14 00:00:00.000','1997-11-11 00:00:00.000','1997-11-07 00:00:00.000',1,4.78,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10705','HILAA',9,'1997-10-15 00:00:00.000','1997-11-12 00:00:00.000','1997-11-18 00:00:00.000',2,3.52,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10706','OLDWO',8,'1997-10-16 00:00:00.000','1997-11-13 00:00:00.000','1997-10-21 00:00:00.000',3,135.63,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10707','AROUT',4,'1997-10-16 00:00:00.000','1997-10-30 00:00:00.000','1997-10-23 00:00:00.000',3,21.74,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10708','THEBI',6,'1997-10-17 00:00:00.000','1997-11-28 00:00:00.000','1997-11-05 00:00:00.000',2,2.96,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); -INSERT INTO Orders Values ('10709','GOURL',1,'1997-10-17 00:00:00.000','1997-11-14 00:00:00.000','1997-11-20 00:00:00.000',3,210.8,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10710','FRANS',1,'1997-10-20 00:00:00.000','1997-11-17 00:00:00.000','1997-10-23 00:00:00.000',1,4.98,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); -INSERT INTO Orders Values ('10711','SAVEA',5,'1997-10-21 00:00:00.000','1997-12-02 00:00:00.000','1997-10-29 00:00:00.000',2,52.41,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10712','HUNGO',3,'1997-10-21 00:00:00.000','1997-11-18 00:00:00.000','1997-10-31 00:00:00.000',1,89.93,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10713','SAVEA',1,'1997-10-22 00:00:00.000','1997-11-19 00:00:00.000','1997-10-24 00:00:00.000',1,167.05,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10714','SAVEA',5,'1997-10-22 00:00:00.000','1997-11-19 00:00:00.000','1997-10-27 00:00:00.000',3,24.49,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10715','BONAP',3,'1997-10-23 00:00:00.000','1997-11-06 00:00:00.000','1997-10-29 00:00:00.000',1,63.2,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10716','RANCH',4,'1997-10-24 00:00:00.000','1997-11-21 00:00:00.000','1997-10-27 00:00:00.000',2,22.57,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10717','FRANK',1,'1997-10-24 00:00:00.000','1997-11-21 00:00:00.000','1997-10-29 00:00:00.000',2,59.25,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10718','KOENE',1,'1997-10-27 00:00:00.000','1997-11-24 00:00:00.000','1997-10-29 00:00:00.000',3,170.88,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10719','LETSS',8,'1997-10-27 00:00:00.000','1997-11-24 00:00:00.000','1997-11-05 00:00:00.000',2,51.44,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); -INSERT INTO Orders Values ('10720','QUEDE',8,'1997-10-28 00:00:00.000','1997-11-11 00:00:00.000','1997-11-05 00:00:00.000',2,9.53,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10721','QUICK',5,'1997-10-29 00:00:00.000','1997-11-26 00:00:00.000','1997-10-31 00:00:00.000',3,48.92,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10722','SAVEA',8,'1997-10-29 00:00:00.000','1997-12-10 00:00:00.000','1997-11-04 00:00:00.000',1,74.58,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10723','WHITC',3,'1997-10-30 00:00:00.000','1997-11-27 00:00:00.000','1997-11-25 00:00:00.000',1,21.72,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10724','MEREP',8,'1997-10-30 00:00:00.000','1997-12-11 00:00:00.000','1997-11-05 00:00:00.000',2,57.75,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); -INSERT INTO Orders Values ('10725','FAMIA',4,'1997-10-31 00:00:00.000','1997-11-28 00:00:00.000','1997-11-05 00:00:00.000',3,10.83,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); -INSERT INTO Orders Values ('10726','EASTC',4,'1997-11-03 00:00:00.000','1997-11-17 00:00:00.000','1997-12-05 00:00:00.000',1,16.56,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('10727','REGGC',2,'1997-11-03 00:00:00.000','1997-12-01 00:00:00.000','1997-12-05 00:00:00.000',1,89.9,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10728','QUEEN',4,'1997-11-04 00:00:00.000','1997-12-02 00:00:00.000','1997-11-11 00:00:00.000',2,58.33,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10729','LINOD',8,'1997-11-04 00:00:00.000','1997-12-16 00:00:00.000','1997-11-14 00:00:00.000',3,141.06,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10730','BONAP',5,'1997-11-05 00:00:00.000','1997-12-03 00:00:00.000','1997-11-14 00:00:00.000',1,20.12,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10731','CHOPS',7,'1997-11-06 00:00:00.000','1997-12-04 00:00:00.000','1997-11-14 00:00:00.000',1,96.65,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('10732','BONAP',3,'1997-11-06 00:00:00.000','1997-12-04 00:00:00.000','1997-11-07 00:00:00.000',1,16.97,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10733','BERGS',1,'1997-11-07 00:00:00.000','1997-12-05 00:00:00.000','1997-11-10 00:00:00.000',3,110.11,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10734','GOURL',2,'1997-11-07 00:00:00.000','1997-12-05 00:00:00.000','1997-11-12 00:00:00.000',3,1.63,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10735','LETSS',6,'1997-11-10 00:00:00.000','1997-12-08 00:00:00.000','1997-11-21 00:00:00.000',2,45.97,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); -INSERT INTO Orders Values ('10736','HUNGO',9,'1997-11-11 00:00:00.000','1997-12-09 00:00:00.000','1997-11-21 00:00:00.000',2,44.1,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10737','VINET',2,'1997-11-11 00:00:00.000','1997-12-09 00:00:00.000','1997-11-18 00:00:00.000',2,7.79,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); -INSERT INTO Orders Values ('10738','SPECD',2,'1997-11-12 00:00:00.000','1997-12-10 00:00:00.000','1997-11-18 00:00:00.000',1,2.91,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); -INSERT INTO Orders Values ('10739','VINET',3,'1997-11-12 00:00:00.000','1997-12-10 00:00:00.000','1997-11-17 00:00:00.000',3,11.08,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); -INSERT INTO Orders Values ('10740','WHITC',4,'1997-11-13 00:00:00.000','1997-12-11 00:00:00.000','1997-11-25 00:00:00.000',2,81.88,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10741','AROUT',4,'1997-11-14 00:00:00.000','1997-11-28 00:00:00.000','1997-11-18 00:00:00.000',3,10.96,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10742','BOTTM',3,'1997-11-14 00:00:00.000','1997-12-12 00:00:00.000','1997-11-18 00:00:00.000',3,243.73,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10743','AROUT',1,'1997-11-17 00:00:00.000','1997-12-15 00:00:00.000','1997-11-21 00:00:00.000',2,23.72,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10744','VAFFE',6,'1997-11-17 00:00:00.000','1997-12-15 00:00:00.000','1997-11-24 00:00:00.000',1,69.19,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10745','QUICK',9,'1997-11-18 00:00:00.000','1997-12-16 00:00:00.000','1997-11-27 00:00:00.000',1,3.52,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10746','CHOPS',1,'1997-11-19 00:00:00.000','1997-12-17 00:00:00.000','1997-11-21 00:00:00.000',3,31.43,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('10747','PICCO',6,'1997-11-19 00:00:00.000','1997-12-17 00:00:00.000','1997-11-26 00:00:00.000',1,117.33,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10748','SAVEA',3,'1997-11-20 00:00:00.000','1997-12-18 00:00:00.000','1997-11-28 00:00:00.000',1,232.55,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10749','ISLAT',4,'1997-11-20 00:00:00.000','1997-12-18 00:00:00.000','1997-12-19 00:00:00.000',2,61.53,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10750','WARTH',9,'1997-11-21 00:00:00.000','1997-12-19 00:00:00.000','1997-11-24 00:00:00.000',1,79.3,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10751','RICSU',3,'1997-11-24 00:00:00.000','1997-12-22 00:00:00.000','1997-12-03 00:00:00.000',3,130.79,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10752','NORTS',2,'1997-11-24 00:00:00.000','1997-12-22 00:00:00.000','1997-11-28 00:00:00.000',3,1.39,'North/South','South House 300 Queensbridge','London',NULL,'SW7 1RZ','UK'); -INSERT INTO Orders Values ('10753','FRANS',3,'1997-11-25 00:00:00.000','1997-12-23 00:00:00.000','1997-11-27 00:00:00.000',1,7.7,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); -INSERT INTO Orders Values ('10754','MAGAA',6,'1997-11-25 00:00:00.000','1997-12-23 00:00:00.000','1997-11-27 00:00:00.000',3,2.38,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10755','BONAP',4,'1997-11-26 00:00:00.000','1997-12-24 00:00:00.000','1997-11-28 00:00:00.000',2,16.71,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10756','SPLIR',8,'1997-11-27 00:00:00.000','1997-12-25 00:00:00.000','1997-12-02 00:00:00.000',2,73.21,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10757','SAVEA',6,'1997-11-27 00:00:00.000','1997-12-25 00:00:00.000','1997-12-15 00:00:00.000',1,8.19,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10758','RICSU',3,'1997-11-28 00:00:00.000','1997-12-26 00:00:00.000','1997-12-04 00:00:00.000',3,138.17,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10759','ANATR',3,'1997-11-28 00:00:00.000','1997-12-26 00:00:00.000','1997-12-12 00:00:00.000',3,11.99,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); -INSERT INTO Orders Values ('10760','MAISD',4,'1997-12-01 00:00:00.000','1997-12-29 00:00:00.000','1997-12-10 00:00:00.000',1,155.64,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('10761','RATTC',5,'1997-12-02 00:00:00.000','1997-12-30 00:00:00.000','1997-12-08 00:00:00.000',2,18.66,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10762','FOLKO',3,'1997-12-02 00:00:00.000','1997-12-30 00:00:00.000','1997-12-09 00:00:00.000',1,328.74,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10763','FOLIG',3,'1997-12-03 00:00:00.000','1997-12-31 00:00:00.000','1997-12-08 00:00:00.000',3,37.35,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); -INSERT INTO Orders Values ('10764','ERNSH',6,'1997-12-03 00:00:00.000','1997-12-31 00:00:00.000','1997-12-08 00:00:00.000',3,145.45,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10765','QUICK',3,'1997-12-04 00:00:00.000','1998-01-01 00:00:00.000','1997-12-09 00:00:00.000',3,42.74,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10766','OTTIK',4,'1997-12-05 00:00:00.000','1998-01-02 00:00:00.000','1997-12-09 00:00:00.000',1,157.55,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10767','SUPRD',4,'1997-12-05 00:00:00.000','1998-01-02 00:00:00.000','1997-12-15 00:00:00.000',3,1.59,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10768','AROUT',3,'1997-12-08 00:00:00.000','1998-01-05 00:00:00.000','1997-12-15 00:00:00.000',2,146.32,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10769','VAFFE',3,'1997-12-08 00:00:00.000','1998-01-05 00:00:00.000','1997-12-12 00:00:00.000',1,65.06,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10770','HANAR',8,'1997-12-09 00:00:00.000','1998-01-06 00:00:00.000','1997-12-17 00:00:00.000',3,5.32,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10771','ERNSH',9,'1997-12-10 00:00:00.000','1998-01-07 00:00:00.000','1998-01-02 00:00:00.000',2,11.19,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10772','LEHMS',3,'1997-12-10 00:00:00.000','1998-01-07 00:00:00.000','1997-12-19 00:00:00.000',2,91.28,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10773','ERNSH',1,'1997-12-11 00:00:00.000','1998-01-08 00:00:00.000','1997-12-16 00:00:00.000',3,96.43,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10774','FOLKO',4,'1997-12-11 00:00:00.000','1997-12-25 00:00:00.000','1997-12-12 00:00:00.000',1,48.2,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10775','THECR',7,'1997-12-12 00:00:00.000','1998-01-09 00:00:00.000','1997-12-26 00:00:00.000',1,20.25,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'); -INSERT INTO Orders Values ('10776','ERNSH',1,'1997-12-15 00:00:00.000','1998-01-12 00:00:00.000','1997-12-18 00:00:00.000',3,351.53,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10777','GOURL',7,'1997-12-15 00:00:00.000','1997-12-29 00:00:00.000','1998-01-21 00:00:00.000',2,3.01,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10778','BERGS',3,'1997-12-16 00:00:00.000','1998-01-13 00:00:00.000','1997-12-24 00:00:00.000',1,6.79,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10779','MORGK',3,'1997-12-16 00:00:00.000','1998-01-13 00:00:00.000','1998-01-14 00:00:00.000',2,58.13,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); -INSERT INTO Orders Values ('10780','LILAS',2,'1997-12-16 00:00:00.000','1997-12-30 00:00:00.000','1997-12-25 00:00:00.000',1,42.13,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10781','WARTH',2,'1997-12-17 00:00:00.000','1998-01-14 00:00:00.000','1997-12-19 00:00:00.000',3,73.16,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('10782','CACTU',9,'1997-12-17 00:00:00.000','1998-01-14 00:00:00.000','1997-12-22 00:00:00.000',3,1.1,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10783','HANAR',4,'1997-12-18 00:00:00.000','1998-01-15 00:00:00.000','1997-12-19 00:00:00.000',2,124.98,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10784','MAGAA',4,'1997-12-18 00:00:00.000','1998-01-15 00:00:00.000','1997-12-22 00:00:00.000',3,70.09,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10785','GROSR',1,'1997-12-18 00:00:00.000','1998-01-15 00:00:00.000','1997-12-24 00:00:00.000',3,1.51,'GROSELLA-Restaurante','5� Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela'); -INSERT INTO Orders Values ('10786','QUEEN',8,'1997-12-19 00:00:00.000','1998-01-16 00:00:00.000','1997-12-23 00:00:00.000',1,110.87,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10787','LAMAI',2,'1997-12-19 00:00:00.000','1998-01-02 00:00:00.000','1997-12-26 00:00:00.000',1,249.93,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10788','QUICK',1,'1997-12-22 00:00:00.000','1998-01-19 00:00:00.000','1998-01-19 00:00:00.000',2,42.7,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10789','FOLIG',1,'1997-12-22 00:00:00.000','1998-01-19 00:00:00.000','1997-12-31 00:00:00.000',2,100.6,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); -INSERT INTO Orders Values ('10790','GOURL',6,'1997-12-22 00:00:00.000','1998-01-19 00:00:00.000','1997-12-26 00:00:00.000',1,28.23,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10791','FRANK',6,'1997-12-23 00:00:00.000','1998-01-20 00:00:00.000','1998-01-01 00:00:00.000',2,16.85,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10792','WOLZA',1,'1997-12-23 00:00:00.000','1998-01-20 00:00:00.000','1997-12-31 00:00:00.000',3,23.79,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('10793','AROUT',3,'1997-12-24 00:00:00.000','1998-01-21 00:00:00.000','1998-01-08 00:00:00.000',3,4.52,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10794','QUEDE',6,'1997-12-24 00:00:00.000','1998-01-21 00:00:00.000','1998-01-02 00:00:00.000',1,21.49,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10795','ERNSH',8,'1997-12-24 00:00:00.000','1998-01-21 00:00:00.000','1998-01-20 00:00:00.000',2,126.66,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10796','HILAA',3,'1997-12-25 00:00:00.000','1998-01-22 00:00:00.000','1998-01-14 00:00:00.000',1,26.52,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10797','DRACD',7,'1997-12-25 00:00:00.000','1998-01-22 00:00:00.000','1998-01-05 00:00:00.000',2,33.35,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); -INSERT INTO Orders Values ('10798','ISLAT',2,'1997-12-26 00:00:00.000','1998-01-23 00:00:00.000','1998-01-05 00:00:00.000',1,2.33,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10799','KOENE',9,'1997-12-26 00:00:00.000','1998-02-06 00:00:00.000','1998-01-05 00:00:00.000',3,30.76,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10800','SEVES',1,'1997-12-26 00:00:00.000','1998-01-23 00:00:00.000','1998-01-05 00:00:00.000',3,137.44,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10801','BOLID',4,'1997-12-29 00:00:00.000','1998-01-26 00:00:00.000','1997-12-31 00:00:00.000',2,97.09,'B�lido Comidas preparadas','C/ Araquil, 67','Madrid',NULL,'28023','Spain'); -INSERT INTO Orders Values ('10802','SIMOB',4,'1997-12-29 00:00:00.000','1998-01-26 00:00:00.000','1998-01-02 00:00:00.000',2,257.26,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('10803','WELLI',4,'1997-12-30 00:00:00.000','1998-01-27 00:00:00.000','1998-01-06 00:00:00.000',1,55.23,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10804','SEVES',6,'1997-12-30 00:00:00.000','1998-01-27 00:00:00.000','1998-01-07 00:00:00.000',2,27.33,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10805','THEBI',2,'1997-12-30 00:00:00.000','1998-01-27 00:00:00.000','1998-01-09 00:00:00.000',3,237.34,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); -INSERT INTO Orders Values ('10806','VICTE',3,'1997-12-31 00:00:00.000','1998-01-28 00:00:00.000','1998-01-05 00:00:00.000',2,22.11,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10807','FRANS',4,'1997-12-31 00:00:00.000','1998-01-28 00:00:00.000','1998-01-30 00:00:00.000',1,1.36,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); -INSERT INTO Orders Values ('10808','OLDWO',2,'1998-01-01 00:00:00.000','1998-01-29 00:00:00.000','1998-01-09 00:00:00.000',3,45.53,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10809','WELLI',7,'1998-01-01 00:00:00.000','1998-01-29 00:00:00.000','1998-01-07 00:00:00.000',1,4.87,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10810','LAUGB',2,'1998-01-01 00:00:00.000','1998-01-29 00:00:00.000','1998-01-07 00:00:00.000',3,4.33,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'); -INSERT INTO Orders Values ('10811','LINOD',8,'1998-01-02 00:00:00.000','1998-01-30 00:00:00.000','1998-01-08 00:00:00.000',1,31.22,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10812','REGGC',5,'1998-01-02 00:00:00.000','1998-01-30 00:00:00.000','1998-01-12 00:00:00.000',1,59.78,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10813','RICAR',1,'1998-01-05 00:00:00.000','1998-02-02 00:00:00.000','1998-01-09 00:00:00.000',1,47.38,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10814','VICTE',3,'1998-01-05 00:00:00.000','1998-02-02 00:00:00.000','1998-01-14 00:00:00.000',3,130.94,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10815','SAVEA',2,'1998-01-05 00:00:00.000','1998-02-02 00:00:00.000','1998-01-14 00:00:00.000',3,14.62,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10816','GREAL',4,'1998-01-06 00:00:00.000','1998-02-03 00:00:00.000','1998-02-04 00:00:00.000',2,719.78,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10817','KOENE',3,'1998-01-06 00:00:00.000','1998-01-20 00:00:00.000','1998-01-13 00:00:00.000',2,306.07,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10818','MAGAA',7,'1998-01-07 00:00:00.000','1998-02-04 00:00:00.000','1998-01-12 00:00:00.000',3,65.48,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10819','CACTU',2,'1998-01-07 00:00:00.000','1998-02-04 00:00:00.000','1998-01-16 00:00:00.000',3,19.76,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10820','RATTC',3,'1998-01-07 00:00:00.000','1998-02-04 00:00:00.000','1998-01-13 00:00:00.000',2,37.52,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10821','SPLIR',1,'1998-01-08 00:00:00.000','1998-02-05 00:00:00.000','1998-01-15 00:00:00.000',1,36.68,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10822','TRAIH',6,'1998-01-08 00:00:00.000','1998-02-05 00:00:00.000','1998-01-16 00:00:00.000',3,7,'Trail-s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'); -INSERT INTO Orders Values ('10823','LILAS',5,'1998-01-09 00:00:00.000','1998-02-06 00:00:00.000','1998-01-13 00:00:00.000',2,163.97,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10824','FOLKO',8,'1998-01-09 00:00:00.000','1998-02-06 00:00:00.000','1998-01-30 00:00:00.000',1,1.23,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10825','DRACD',1,'1998-01-09 00:00:00.000','1998-02-06 00:00:00.000','1998-01-14 00:00:00.000',1,79.25,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); -INSERT INTO Orders Values ('10826','BLONP',6,'1998-01-12 00:00:00.000','1998-02-09 00:00:00.000','1998-02-06 00:00:00.000',1,7.09,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); -INSERT INTO Orders Values ('10827','BONAP',1,'1998-01-12 00:00:00.000','1998-01-26 00:00:00.000','1998-02-06 00:00:00.000',2,63.54,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10828','RANCH',9,'1998-01-13 00:00:00.000','1998-01-27 00:00:00.000','1998-02-04 00:00:00.000',1,90.85,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10829','ISLAT',9,'1998-01-13 00:00:00.000','1998-02-10 00:00:00.000','1998-01-23 00:00:00.000',1,154.72,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10830','TRADH',4,'1998-01-13 00:00:00.000','1998-02-24 00:00:00.000','1998-01-21 00:00:00.000',2,81.83,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); -INSERT INTO Orders Values ('10831','SANTG',3,'1998-01-14 00:00:00.000','1998-02-11 00:00:00.000','1998-01-23 00:00:00.000',2,72.19,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); -INSERT INTO Orders Values ('10832','LAMAI',2,'1998-01-14 00:00:00.000','1998-02-11 00:00:00.000','1998-01-19 00:00:00.000',2,43.26,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10833','OTTIK',6,'1998-01-15 00:00:00.000','1998-02-12 00:00:00.000','1998-01-23 00:00:00.000',2,71.49,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('10834','TRADH',1,'1998-01-15 00:00:00.000','1998-02-12 00:00:00.000','1998-01-19 00:00:00.000',3,29.78,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); -INSERT INTO Orders Values ('10835','ALFKI',1,'1998-01-15 00:00:00.000','1998-02-12 00:00:00.000','1998-01-21 00:00:00.000',3,69.53,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); -INSERT INTO Orders Values ('10836','ERNSH',7,'1998-01-16 00:00:00.000','1998-02-13 00:00:00.000','1998-01-21 00:00:00.000',1,411.88,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10837','BERGS',9,'1998-01-16 00:00:00.000','1998-02-13 00:00:00.000','1998-01-23 00:00:00.000',3,13.32,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10838','LINOD',3,'1998-01-19 00:00:00.000','1998-02-16 00:00:00.000','1998-01-23 00:00:00.000',3,59.28,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10839','TRADH',3,'1998-01-19 00:00:00.000','1998-02-16 00:00:00.000','1998-01-22 00:00:00.000',3,35.43,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); -INSERT INTO Orders Values ('10840','LINOD',4,'1998-01-19 00:00:00.000','1998-03-02 00:00:00.000','1998-02-16 00:00:00.000',2,2.71,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10841','SUPRD',5,'1998-01-20 00:00:00.000','1998-02-17 00:00:00.000','1998-01-29 00:00:00.000',2,424.3,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10842','TORTU',1,'1998-01-20 00:00:00.000','1998-02-17 00:00:00.000','1998-01-29 00:00:00.000',3,54.42,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10843','VICTE',4,'1998-01-21 00:00:00.000','1998-02-18 00:00:00.000','1998-01-26 00:00:00.000',2,9.26,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10844','PICCO',8,'1998-01-21 00:00:00.000','1998-02-18 00:00:00.000','1998-01-26 00:00:00.000',2,25.22,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('10845','QUICK',8,'1998-01-21 00:00:00.000','1998-02-04 00:00:00.000','1998-01-30 00:00:00.000',1,212.98,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10846','SUPRD',2,'1998-01-22 00:00:00.000','1998-03-05 00:00:00.000','1998-01-23 00:00:00.000',3,56.46,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10847','SAVEA',4,'1998-01-22 00:00:00.000','1998-02-05 00:00:00.000','1998-02-10 00:00:00.000',3,487.57,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10848','CONSH',7,'1998-01-23 00:00:00.000','1998-02-20 00:00:00.000','1998-01-29 00:00:00.000',2,38.24,'Consolidated Holdings','Berkeley Gardens 12 �Brewery','London',NULL,'WX1 6LT','UK'); -INSERT INTO Orders Values ('10849','KOENE',9,'1998-01-23 00:00:00.000','1998-02-20 00:00:00.000','1998-01-30 00:00:00.000',2,0.56,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10850','VICTE',1,'1998-01-23 00:00:00.000','1998-03-06 00:00:00.000','1998-01-30 00:00:00.000',1,49.19,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); -INSERT INTO Orders Values ('10851','RICAR',5,'1998-01-26 00:00:00.000','1998-02-23 00:00:00.000','1998-02-02 00:00:00.000',1,160.55,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10852','RATTC',8,'1998-01-26 00:00:00.000','1998-02-09 00:00:00.000','1998-01-30 00:00:00.000',1,174.05,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10853','BLAUS',9,'1998-01-27 00:00:00.000','1998-02-24 00:00:00.000','1998-02-03 00:00:00.000',2,53.83,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('10854','ERNSH',3,'1998-01-27 00:00:00.000','1998-02-24 00:00:00.000','1998-02-05 00:00:00.000',2,100.22,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10855','OLDWO',3,'1998-01-27 00:00:00.000','1998-02-24 00:00:00.000','1998-02-04 00:00:00.000',1,170.97,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10856','ANTON',3,'1998-01-28 00:00:00.000','1998-02-25 00:00:00.000','1998-02-10 00:00:00.000',2,58.43,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); -INSERT INTO Orders Values ('10857','BERGS',8,'1998-01-28 00:00:00.000','1998-02-25 00:00:00.000','1998-02-06 00:00:00.000',2,188.85,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10858','LACOR',2,'1998-01-29 00:00:00.000','1998-02-26 00:00:00.000','1998-02-03 00:00:00.000',1,52.51,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); -INSERT INTO Orders Values ('10859','FRANK',1,'1998-01-29 00:00:00.000','1998-02-26 00:00:00.000','1998-02-02 00:00:00.000',2,76.1,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10860','FRANR',3,'1998-01-29 00:00:00.000','1998-02-26 00:00:00.000','1998-02-04 00:00:00.000',3,19.26,'France restauration','54, rue Royale','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10861','WHITC',4,'1998-01-30 00:00:00.000','1998-02-27 00:00:00.000','1998-02-17 00:00:00.000',2,14.93,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10862','LEHMS',8,'1998-01-30 00:00:00.000','1998-03-13 00:00:00.000','1998-02-02 00:00:00.000',2,53.23,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10863','HILAA',4,'1998-02-02 00:00:00.000','1998-03-02 00:00:00.000','1998-02-17 00:00:00.000',2,30.26,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10864','AROUT',4,'1998-02-02 00:00:00.000','1998-03-02 00:00:00.000','1998-02-09 00:00:00.000',2,3.04,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10865','QUICK',2,'1998-02-02 00:00:00.000','1998-02-16 00:00:00.000','1998-02-12 00:00:00.000',1,348.14,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10866','BERGS',5,'1998-02-03 00:00:00.000','1998-03-03 00:00:00.000','1998-02-12 00:00:00.000',1,109.11,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10867','LONEP',6,'1998-02-03 00:00:00.000','1998-03-17 00:00:00.000','1998-02-11 00:00:00.000',1,1.93,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10868','QUEEN',7,'1998-02-04 00:00:00.000','1998-03-04 00:00:00.000','1998-02-23 00:00:00.000',2,191.27,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10869','SEVES',5,'1998-02-04 00:00:00.000','1998-03-04 00:00:00.000','1998-02-09 00:00:00.000',1,143.28,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); -INSERT INTO Orders Values ('10870','WOLZA',5,'1998-02-04 00:00:00.000','1998-03-04 00:00:00.000','1998-02-13 00:00:00.000',3,12.04,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('10871','BONAP',9,'1998-02-05 00:00:00.000','1998-03-05 00:00:00.000','1998-02-10 00:00:00.000',2,112.27,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10872','GODOS',5,'1998-02-05 00:00:00.000','1998-03-05 00:00:00.000','1998-02-09 00:00:00.000',2,175.32,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10873','WILMK',4,'1998-02-06 00:00:00.000','1998-03-06 00:00:00.000','1998-02-09 00:00:00.000',1,0.82,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('10874','GODOS',5,'1998-02-06 00:00:00.000','1998-03-06 00:00:00.000','1998-02-11 00:00:00.000',2,19.58,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10875','BERGS',4,'1998-02-06 00:00:00.000','1998-03-06 00:00:00.000','1998-03-03 00:00:00.000',2,32.37,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10876','BONAP',7,'1998-02-09 00:00:00.000','1998-03-09 00:00:00.000','1998-02-12 00:00:00.000',3,60.42,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10877','RICAR',1,'1998-02-09 00:00:00.000','1998-03-09 00:00:00.000','1998-02-19 00:00:00.000',1,38.06,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('10878','QUICK',4,'1998-02-10 00:00:00.000','1998-03-10 00:00:00.000','1998-02-12 00:00:00.000',1,46.69,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10879','WILMK',3,'1998-02-10 00:00:00.000','1998-03-10 00:00:00.000','1998-02-12 00:00:00.000',3,8.5,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('10880','FOLKO',7,'1998-02-10 00:00:00.000','1998-03-24 00:00:00.000','1998-02-18 00:00:00.000',1,88.01,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10881','CACTU',4,'1998-02-11 00:00:00.000','1998-03-11 00:00:00.000','1998-02-18 00:00:00.000',1,2.84,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10882','SAVEA',4,'1998-02-11 00:00:00.000','1998-03-11 00:00:00.000','1998-02-20 00:00:00.000',3,23.1,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10883','LONEP',8,'1998-02-12 00:00:00.000','1998-03-12 00:00:00.000','1998-02-20 00:00:00.000',3,0.53,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('10884','LETSS',4,'1998-02-12 00:00:00.000','1998-03-12 00:00:00.000','1998-02-13 00:00:00.000',2,90.97,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); -INSERT INTO Orders Values ('10885','SUPRD',6,'1998-02-12 00:00:00.000','1998-03-12 00:00:00.000','1998-02-18 00:00:00.000',3,5.64,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10886','HANAR',1,'1998-02-13 00:00:00.000','1998-03-13 00:00:00.000','1998-03-02 00:00:00.000',1,4.99,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10887','GALED',8,'1998-02-13 00:00:00.000','1998-03-13 00:00:00.000','1998-02-16 00:00:00.000',3,1.25,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); -INSERT INTO Orders Values ('10888','GODOS',1,'1998-02-16 00:00:00.000','1998-03-16 00:00:00.000','1998-02-23 00:00:00.000',2,51.87,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10889','RATTC',9,'1998-02-16 00:00:00.000','1998-03-16 00:00:00.000','1998-02-23 00:00:00.000',3,280.61,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10890','DUMON',7,'1998-02-16 00:00:00.000','1998-03-16 00:00:00.000','1998-02-18 00:00:00.000',1,32.76,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10891','LEHMS',7,'1998-02-17 00:00:00.000','1998-03-17 00:00:00.000','1998-02-19 00:00:00.000',2,20.37,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10892','MAISD',4,'1998-02-17 00:00:00.000','1998-03-17 00:00:00.000','1998-02-19 00:00:00.000',2,120.27,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('10893','KOENE',9,'1998-02-18 00:00:00.000','1998-03-18 00:00:00.000','1998-02-20 00:00:00.000',2,77.78,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('10894','SAVEA',1,'1998-02-18 00:00:00.000','1998-03-18 00:00:00.000','1998-02-20 00:00:00.000',1,116.13,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10895','ERNSH',3,'1998-02-18 00:00:00.000','1998-03-18 00:00:00.000','1998-02-23 00:00:00.000',1,162.75,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10896','MAISD',7,'1998-02-19 00:00:00.000','1998-03-19 00:00:00.000','1998-02-27 00:00:00.000',3,32.45,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('10897','HUNGO',3,'1998-02-19 00:00:00.000','1998-03-19 00:00:00.000','1998-02-25 00:00:00.000',2,603.54,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10898','OCEAN',4,'1998-02-20 00:00:00.000','1998-03-20 00:00:00.000','1998-03-06 00:00:00.000',2,1.27,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10899','LILAS',5,'1998-02-20 00:00:00.000','1998-03-20 00:00:00.000','1998-02-26 00:00:00.000',3,1.21,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10900','WELLI',1,'1998-02-20 00:00:00.000','1998-03-20 00:00:00.000','1998-03-04 00:00:00.000',2,1.66,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10901','HILAA',4,'1998-02-23 00:00:00.000','1998-03-23 00:00:00.000','1998-02-26 00:00:00.000',1,62.09,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10902','FOLKO',1,'1998-02-23 00:00:00.000','1998-03-23 00:00:00.000','1998-03-03 00:00:00.000',1,44.15,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10903','HANAR',3,'1998-02-24 00:00:00.000','1998-03-24 00:00:00.000','1998-03-04 00:00:00.000',3,36.71,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10904','WHITC',3,'1998-02-24 00:00:00.000','1998-03-24 00:00:00.000','1998-02-27 00:00:00.000',3,162.95,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('10905','WELLI',9,'1998-02-24 00:00:00.000','1998-03-24 00:00:00.000','1998-03-06 00:00:00.000',2,13.72,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10906','WOLZA',4,'1998-02-25 00:00:00.000','1998-03-11 00:00:00.000','1998-03-03 00:00:00.000',3,26.29,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('10907','SPECD',6,'1998-02-25 00:00:00.000','1998-03-25 00:00:00.000','1998-02-27 00:00:00.000',3,9.19,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); -INSERT INTO Orders Values ('10908','REGGC',4,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-06 00:00:00.000',2,32.96,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10909','SANTG',1,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-10 00:00:00.000',2,53.05,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); -INSERT INTO Orders Values ('10910','WILMK',1,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-04 00:00:00.000',3,38.11,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('10911','GODOS',3,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-05 00:00:00.000',1,38.19,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10912','HUNGO',2,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-18 00:00:00.000',2,580.91,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10913','QUEEN',4,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-04 00:00:00.000',1,33.05,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10914','QUEEN',6,'1998-02-27 00:00:00.000','1998-03-27 00:00:00.000','1998-03-02 00:00:00.000',1,21.19,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10915','TORTU',2,'1998-02-27 00:00:00.000','1998-03-27 00:00:00.000','1998-03-02 00:00:00.000',2,3.51,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10916','RANCH',1,'1998-02-27 00:00:00.000','1998-03-27 00:00:00.000','1998-03-09 00:00:00.000',2,63.77,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10917','ROMEY',4,'1998-03-02 00:00:00.000','1998-03-30 00:00:00.000','1998-03-11 00:00:00.000',2,8.29,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); -INSERT INTO Orders Values ('10918','BOTTM',3,'1998-03-02 00:00:00.000','1998-03-30 00:00:00.000','1998-03-11 00:00:00.000',3,48.83,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10919','LINOD',2,'1998-03-02 00:00:00.000','1998-03-30 00:00:00.000','1998-03-04 00:00:00.000',2,19.8,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10920','AROUT',4,'1998-03-03 00:00:00.000','1998-03-31 00:00:00.000','1998-03-09 00:00:00.000',2,29.61,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10921','VAFFE',1,'1998-03-03 00:00:00.000','1998-04-14 00:00:00.000','1998-03-09 00:00:00.000',1,176.48,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10922','HANAR',5,'1998-03-03 00:00:00.000','1998-03-31 00:00:00.000','1998-03-05 00:00:00.000',3,62.74,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10923','LAMAI',7,'1998-03-03 00:00:00.000','1998-04-14 00:00:00.000','1998-03-13 00:00:00.000',3,68.26,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('10924','BERGS',3,'1998-03-04 00:00:00.000','1998-04-01 00:00:00.000','1998-04-08 00:00:00.000',2,151.52,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); -INSERT INTO Orders Values ('10925','HANAR',3,'1998-03-04 00:00:00.000','1998-04-01 00:00:00.000','1998-03-13 00:00:00.000',1,2.27,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10926','ANATR',4,'1998-03-04 00:00:00.000','1998-04-01 00:00:00.000','1998-03-11 00:00:00.000',3,39.92,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); -INSERT INTO Orders Values ('10927','LACOR',4,'1998-03-05 00:00:00.000','1998-04-02 00:00:00.000','1998-04-08 00:00:00.000',1,19.79,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); -INSERT INTO Orders Values ('10928','GALED',1,'1998-03-05 00:00:00.000','1998-04-02 00:00:00.000','1998-03-18 00:00:00.000',1,1.36,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); -INSERT INTO Orders Values ('10929','FRANK',6,'1998-03-05 00:00:00.000','1998-04-02 00:00:00.000','1998-03-12 00:00:00.000',1,33.93,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('10930','SUPRD',4,'1998-03-06 00:00:00.000','1998-04-17 00:00:00.000','1998-03-18 00:00:00.000',3,15.55,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('10931','RICSU',4,'1998-03-06 00:00:00.000','1998-03-20 00:00:00.000','1998-03-19 00:00:00.000',2,13.6,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10932','BONAP',8,'1998-03-06 00:00:00.000','1998-04-03 00:00:00.000','1998-03-24 00:00:00.000',1,134.64,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10933','ISLAT',6,'1998-03-06 00:00:00.000','1998-04-03 00:00:00.000','1998-03-16 00:00:00.000',3,54.15,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); -INSERT INTO Orders Values ('10934','LEHMS',3,'1998-03-09 00:00:00.000','1998-04-06 00:00:00.000','1998-03-12 00:00:00.000',3,32.01,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('10935','WELLI',4,'1998-03-09 00:00:00.000','1998-04-06 00:00:00.000','1998-03-18 00:00:00.000',3,47.59,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); -INSERT INTO Orders Values ('10936','GREAL',3,'1998-03-09 00:00:00.000','1998-04-06 00:00:00.000','1998-03-18 00:00:00.000',2,33.68,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('10937','CACTU',7,'1998-03-10 00:00:00.000','1998-03-24 00:00:00.000','1998-03-13 00:00:00.000',3,31.51,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10938','QUICK',3,'1998-03-10 00:00:00.000','1998-04-07 00:00:00.000','1998-03-16 00:00:00.000',2,31.89,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10939','MAGAA',2,'1998-03-10 00:00:00.000','1998-04-07 00:00:00.000','1998-03-13 00:00:00.000',2,76.33,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10940','BONAP',8,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-23 00:00:00.000',3,19.77,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('10941','SAVEA',7,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-20 00:00:00.000',2,400.81,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10942','REGGC',9,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-18 00:00:00.000',3,17.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('10943','BSBEV',4,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-19 00:00:00.000',2,2.17,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10944','BOTTM',6,'1998-03-12 00:00:00.000','1998-03-26 00:00:00.000','1998-03-13 00:00:00.000',3,52.92,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10945','MORGK',4,'1998-03-12 00:00:00.000','1998-04-09 00:00:00.000','1998-03-18 00:00:00.000',1,10.22,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); -INSERT INTO Orders Values ('10946','VAFFE',1,'1998-03-12 00:00:00.000','1998-04-09 00:00:00.000','1998-03-19 00:00:00.000',2,27.2,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10947','BSBEV',3,'1998-03-13 00:00:00.000','1998-04-10 00:00:00.000','1998-03-16 00:00:00.000',2,3.26,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('10948','GODOS',3,'1998-03-13 00:00:00.000','1998-04-10 00:00:00.000','1998-03-19 00:00:00.000',3,23.39,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('10949','BOTTM',2,'1998-03-13 00:00:00.000','1998-04-10 00:00:00.000','1998-03-17 00:00:00.000',3,74.44,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10950','MAGAA',1,'1998-03-16 00:00:00.000','1998-04-13 00:00:00.000','1998-03-23 00:00:00.000',2,2.5,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); -INSERT INTO Orders Values ('10951','RICSU',9,'1998-03-16 00:00:00.000','1998-04-27 00:00:00.000','1998-04-07 00:00:00.000',2,30.85,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('10952','ALFKI',1,'1998-03-16 00:00:00.000','1998-04-27 00:00:00.000','1998-03-24 00:00:00.000',1,40.42,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); -INSERT INTO Orders Values ('10953','AROUT',9,'1998-03-16 00:00:00.000','1998-03-30 00:00:00.000','1998-03-25 00:00:00.000',2,23.72,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('10954','LINOD',5,'1998-03-17 00:00:00.000','1998-04-28 00:00:00.000','1998-03-20 00:00:00.000',1,27.91,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('10955','FOLKO',8,'1998-03-17 00:00:00.000','1998-04-14 00:00:00.000','1998-03-20 00:00:00.000',2,3.26,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10956','BLAUS',6,'1998-03-17 00:00:00.000','1998-04-28 00:00:00.000','1998-03-20 00:00:00.000',2,44.65,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('10957','HILAA',8,'1998-03-18 00:00:00.000','1998-04-15 00:00:00.000','1998-03-27 00:00:00.000',3,105.36,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10958','OCEAN',7,'1998-03-18 00:00:00.000','1998-04-15 00:00:00.000','1998-03-27 00:00:00.000',2,49.56,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10959','GOURL',6,'1998-03-18 00:00:00.000','1998-04-29 00:00:00.000','1998-03-23 00:00:00.000',2,4.98,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('10960','HILAA',3,'1998-03-19 00:00:00.000','1998-04-02 00:00:00.000','1998-04-08 00:00:00.000',1,2.08,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10961','QUEEN',8,'1998-03-19 00:00:00.000','1998-04-16 00:00:00.000','1998-03-30 00:00:00.000',1,104.47,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('10962','QUICK',8,'1998-03-19 00:00:00.000','1998-04-16 00:00:00.000','1998-03-23 00:00:00.000',2,275.79,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10963','FURIB',9,'1998-03-19 00:00:00.000','1998-04-16 00:00:00.000','1998-03-26 00:00:00.000',3,2.7,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); -INSERT INTO Orders Values ('10964','SPECD',3,'1998-03-20 00:00:00.000','1998-04-17 00:00:00.000','1998-03-24 00:00:00.000',2,87.38,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); -INSERT INTO Orders Values ('10965','OLDWO',6,'1998-03-20 00:00:00.000','1998-04-17 00:00:00.000','1998-03-30 00:00:00.000',3,144.38,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('10966','CHOPS',4,'1998-03-20 00:00:00.000','1998-04-17 00:00:00.000','1998-04-08 00:00:00.000',1,27.19,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('10967','TOMSP',2,'1998-03-23 00:00:00.000','1998-04-20 00:00:00.000','1998-04-02 00:00:00.000',2,62.22,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); -INSERT INTO Orders Values ('10968','ERNSH',1,'1998-03-23 00:00:00.000','1998-04-20 00:00:00.000','1998-04-01 00:00:00.000',3,74.6,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10969','COMMI',1,'1998-03-23 00:00:00.000','1998-04-20 00:00:00.000','1998-03-30 00:00:00.000',2,0.21,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); -INSERT INTO Orders Values ('10970','BOLID',9,'1998-03-24 00:00:00.000','1998-04-07 00:00:00.000','1998-04-24 00:00:00.000',1,16.16,'B�lido Comidas preparadas','C/ Araquil, 67','Madrid',NULL,'28023','Spain'); -INSERT INTO Orders Values ('10971','FRANR',2,'1998-03-24 00:00:00.000','1998-04-21 00:00:00.000','1998-04-02 00:00:00.000',2,121.82,'France restauration','54, rue Royale','Nantes',NULL,'44000','France'); -INSERT INTO Orders Values ('10972','LACOR',4,'1998-03-24 00:00:00.000','1998-04-21 00:00:00.000','1998-03-26 00:00:00.000',2,0.02,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); -INSERT INTO Orders Values ('10973','LACOR',6,'1998-03-24 00:00:00.000','1998-04-21 00:00:00.000','1998-03-27 00:00:00.000',2,15.17,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); -INSERT INTO Orders Values ('10974','SPLIR',3,'1998-03-25 00:00:00.000','1998-04-08 00:00:00.000','1998-04-03 00:00:00.000',3,12.96,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); -INSERT INTO Orders Values ('10975','BOTTM',1,'1998-03-25 00:00:00.000','1998-04-22 00:00:00.000','1998-03-27 00:00:00.000',3,32.27,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10976','HILAA',1,'1998-03-25 00:00:00.000','1998-05-06 00:00:00.000','1998-04-03 00:00:00.000',1,37.97,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('10977','FOLKO',8,'1998-03-26 00:00:00.000','1998-04-23 00:00:00.000','1998-04-10 00:00:00.000',3,208.5,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10978','MAISD',9,'1998-03-26 00:00:00.000','1998-04-23 00:00:00.000','1998-04-23 00:00:00.000',2,32.82,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('10979','ERNSH',8,'1998-03-26 00:00:00.000','1998-04-23 00:00:00.000','1998-03-31 00:00:00.000',2,353.07,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10980','FOLKO',4,'1998-03-27 00:00:00.000','1998-05-08 00:00:00.000','1998-04-17 00:00:00.000',1,1.26,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10981','HANAR',1,'1998-03-27 00:00:00.000','1998-04-24 00:00:00.000','1998-04-02 00:00:00.000',2,193.37,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('10982','BOTTM',2,'1998-03-27 00:00:00.000','1998-04-24 00:00:00.000','1998-04-08 00:00:00.000',1,14.01,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('10983','SAVEA',2,'1998-03-27 00:00:00.000','1998-04-24 00:00:00.000','1998-04-06 00:00:00.000',2,657.54,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10984','SAVEA',1,'1998-03-30 00:00:00.000','1998-04-27 00:00:00.000','1998-04-03 00:00:00.000',3,211.22,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('10985','HUNGO',2,'1998-03-30 00:00:00.000','1998-04-27 00:00:00.000','1998-04-02 00:00:00.000',1,91.51,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('10986','OCEAN',8,'1998-03-30 00:00:00.000','1998-04-27 00:00:00.000','1998-04-21 00:00:00.000',2,217.86,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('10987','EASTC',8,'1998-03-31 00:00:00.000','1998-04-28 00:00:00.000','1998-04-06 00:00:00.000',1,185.48,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('10988','RATTC',3,'1998-03-31 00:00:00.000','1998-04-28 00:00:00.000','1998-04-10 00:00:00.000',2,61.14,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('10989','QUEDE',2,'1998-03-31 00:00:00.000','1998-04-28 00:00:00.000','1998-04-02 00:00:00.000',1,34.76,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); -INSERT INTO Orders Values ('10990','ERNSH',2,'1998-04-01 00:00:00.000','1998-05-13 00:00:00.000','1998-04-07 00:00:00.000',3,117.61,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('10991','QUICK',1,'1998-04-01 00:00:00.000','1998-04-29 00:00:00.000','1998-04-07 00:00:00.000',1,38.51,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10992','THEBI',1,'1998-04-01 00:00:00.000','1998-04-29 00:00:00.000','1998-04-03 00:00:00.000',3,4.27,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); -INSERT INTO Orders Values ('10993','FOLKO',7,'1998-04-01 00:00:00.000','1998-04-29 00:00:00.000','1998-04-10 00:00:00.000',3,8.81,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('10994','VAFFE',2,'1998-04-02 00:00:00.000','1998-04-16 00:00:00.000','1998-04-09 00:00:00.000',3,65.53,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); -INSERT INTO Orders Values ('10995','PERIC',1,'1998-04-02 00:00:00.000','1998-04-30 00:00:00.000','1998-04-06 00:00:00.000',3,46,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('10996','QUICK',4,'1998-04-02 00:00:00.000','1998-04-30 00:00:00.000','1998-04-10 00:00:00.000',2,1.12,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('10997','LILAS',8,'1998-04-03 00:00:00.000','1998-05-15 00:00:00.000','1998-04-13 00:00:00.000',2,73.91,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('10998','WOLZA',8,'1998-04-03 00:00:00.000','1998-04-17 00:00:00.000','1998-04-17 00:00:00.000',2,20.31,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('10999','OTTIK',6,'1998-04-03 00:00:00.000','1998-05-01 00:00:00.000','1998-04-10 00:00:00.000',2,96.35,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('11000','RATTC',2,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-14 00:00:00.000',3,55.12,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); -INSERT INTO Orders Values ('11001','FOLKO',2,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-14 00:00:00.000',2,197.3,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('11002','SAVEA',4,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-16 00:00:00.000',1,141.16,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('11003','THECR',3,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-08 00:00:00.000',3,14.91,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'); -INSERT INTO Orders Values ('11004','MAISD',3,'1998-04-07 00:00:00.000','1998-05-05 00:00:00.000','1998-04-20 00:00:00.000',1,44.84,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); -INSERT INTO Orders Values ('11005','WILMK',2,'1998-04-07 00:00:00.000','1998-05-05 00:00:00.000','1998-04-10 00:00:00.000',1,0.75,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); -INSERT INTO Orders Values ('11006','GREAL',3,'1998-04-07 00:00:00.000','1998-05-05 00:00:00.000','1998-04-15 00:00:00.000',2,25.19,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('11007','PRINI',8,'1998-04-08 00:00:00.000','1998-05-06 00:00:00.000','1998-04-13 00:00:00.000',2,202.24,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); -INSERT INTO Orders Values ('11008','ERNSH',7,'1998-04-08 00:00:00.000','1998-05-06 00:00:00.000',NULL,3,79.46,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('11009','GODOS',2,'1998-04-08 00:00:00.000','1998-05-06 00:00:00.000','1998-04-10 00:00:00.000',1,59.11,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('11010','REGGC',2,'1998-04-09 00:00:00.000','1998-05-07 00:00:00.000','1998-04-21 00:00:00.000',2,28.71,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('11011','ALFKI',3,'1998-04-09 00:00:00.000','1998-05-07 00:00:00.000','1998-04-13 00:00:00.000',1,1.21,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); -INSERT INTO Orders Values ('11012','FRANK',1,'1998-04-09 00:00:00.000','1998-04-23 00:00:00.000','1998-04-17 00:00:00.000',3,242.95,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); -INSERT INTO Orders Values ('11013','ROMEY',2,'1998-04-09 00:00:00.000','1998-05-07 00:00:00.000','1998-04-10 00:00:00.000',1,32.99,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); -INSERT INTO Orders Values ('11014','LINOD',2,'1998-04-10 00:00:00.000','1998-05-08 00:00:00.000','1998-04-15 00:00:00.000',3,23.6,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('11015','SANTG',2,'1998-04-10 00:00:00.000','1998-04-24 00:00:00.000','1998-04-20 00:00:00.000',2,4.62,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); -INSERT INTO Orders Values ('11016','AROUT',9,'1998-04-10 00:00:00.000','1998-05-08 00:00:00.000','1998-04-13 00:00:00.000',2,33.8,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); -INSERT INTO Orders Values ('11017','ERNSH',9,'1998-04-13 00:00:00.000','1998-05-11 00:00:00.000','1998-04-20 00:00:00.000',2,754.26,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('11018','LONEP',4,'1998-04-13 00:00:00.000','1998-05-11 00:00:00.000','1998-04-16 00:00:00.000',2,11.65,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); -INSERT INTO Orders Values ('11019','RANCH',6,'1998-04-13 00:00:00.000','1998-05-11 00:00:00.000',NULL,3,3.17,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('11020','OTTIK',2,'1998-04-14 00:00:00.000','1998-05-12 00:00:00.000','1998-04-16 00:00:00.000',2,43.3,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); -INSERT INTO Orders Values ('11021','QUICK',3,'1998-04-14 00:00:00.000','1998-05-12 00:00:00.000','1998-04-21 00:00:00.000',1,297.18,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); -INSERT INTO Orders Values ('11022','HANAR',9,'1998-04-14 00:00:00.000','1998-05-12 00:00:00.000','1998-05-04 00:00:00.000',2,6.27,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('11023','BSBEV',1,'1998-04-14 00:00:00.000','1998-04-28 00:00:00.000','1998-04-24 00:00:00.000',2,123.83,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); -INSERT INTO Orders Values ('11024','EASTC',4,'1998-04-15 00:00:00.000','1998-05-13 00:00:00.000','1998-04-20 00:00:00.000',1,74.36,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('11025','WARTH',6,'1998-04-15 00:00:00.000','1998-05-13 00:00:00.000','1998-04-24 00:00:00.000',3,29.17,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); -INSERT INTO Orders Values ('11026','FRANS',4,'1998-04-15 00:00:00.000','1998-05-13 00:00:00.000','1998-04-28 00:00:00.000',1,47.09,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); -INSERT INTO Orders Values ('11027','BOTTM',1,'1998-04-16 00:00:00.000','1998-05-14 00:00:00.000','1998-04-20 00:00:00.000',1,52.52,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('11028','KOENE',2,'1998-04-16 00:00:00.000','1998-05-14 00:00:00.000','1998-04-22 00:00:00.000',1,29.59,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); -INSERT INTO Orders Values ('11029','CHOPS',4,'1998-04-16 00:00:00.000','1998-05-14 00:00:00.000','1998-04-27 00:00:00.000',1,47.84,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('11030','SAVEA',7,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-27 00:00:00.000',2,830.75,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('11031','SAVEA',6,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-24 00:00:00.000',2,227.22,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('11032','WHITC',2,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-23 00:00:00.000',3,606.19,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('11033','RICSU',7,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-23 00:00:00.000',3,84.74,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('11034','OLDWO',8,'1998-04-20 00:00:00.000','1998-06-01 00:00:00.000','1998-04-27 00:00:00.000',1,40.32,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); -INSERT INTO Orders Values ('11035','SUPRD',2,'1998-04-20 00:00:00.000','1998-05-18 00:00:00.000','1998-04-24 00:00:00.000',2,0.17,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('11036','DRACD',8,'1998-04-20 00:00:00.000','1998-05-18 00:00:00.000','1998-04-22 00:00:00.000',3,149.47,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); -INSERT INTO Orders Values ('11037','GODOS',7,'1998-04-21 00:00:00.000','1998-05-19 00:00:00.000','1998-04-27 00:00:00.000',1,3.2,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); -INSERT INTO Orders Values ('11038','SUPRD',1,'1998-04-21 00:00:00.000','1998-05-19 00:00:00.000','1998-04-30 00:00:00.000',2,29.59,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); -INSERT INTO Orders Values ('11039','LINOD',1,'1998-04-21 00:00:00.000','1998-05-19 00:00:00.000',NULL,2,65,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); -INSERT INTO Orders Values ('11040','GREAL',4,'1998-04-22 00:00:00.000','1998-05-20 00:00:00.000',NULL,3,18.84,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('11041','CHOPS',3,'1998-04-22 00:00:00.000','1998-05-20 00:00:00.000','1998-04-28 00:00:00.000',2,48.22,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); -INSERT INTO Orders Values ('11042','COMMI',2,'1998-04-22 00:00:00.000','1998-05-06 00:00:00.000','1998-05-01 00:00:00.000',1,29.99,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); -INSERT INTO Orders Values ('11043','SPECD',5,'1998-04-22 00:00:00.000','1998-05-20 00:00:00.000','1998-04-29 00:00:00.000',2,8.8,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); -INSERT INTO Orders Values ('11044','WOLZA',4,'1998-04-23 00:00:00.000','1998-05-21 00:00:00.000','1998-05-01 00:00:00.000',1,8.72,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); -INSERT INTO Orders Values ('11045','BOTTM',6,'1998-04-23 00:00:00.000','1998-05-21 00:00:00.000',NULL,2,70.58,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('11046','WANDK',8,'1998-04-23 00:00:00.000','1998-05-21 00:00:00.000','1998-04-24 00:00:00.000',2,71.64,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); -INSERT INTO Orders Values ('11047','EASTC',7,'1998-04-24 00:00:00.000','1998-05-22 00:00:00.000','1998-05-01 00:00:00.000',3,46.62,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('11048','BOTTM',7,'1998-04-24 00:00:00.000','1998-05-22 00:00:00.000','1998-04-30 00:00:00.000',3,24.12,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); -INSERT INTO Orders Values ('11049','GOURL',3,'1998-04-24 00:00:00.000','1998-05-22 00:00:00.000','1998-05-04 00:00:00.000',1,8.34,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); -INSERT INTO Orders Values ('11050','FOLKO',8,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000','1998-05-05 00:00:00.000',2,59.41,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); -INSERT INTO Orders Values ('11051','LAMAI',7,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000',NULL,3,2.79,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); -INSERT INTO Orders Values ('11052','HANAR',3,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000','1998-05-01 00:00:00.000',1,67.26,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); -INSERT INTO Orders Values ('11053','PICCO',2,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000','1998-04-29 00:00:00.000',2,53.05,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); -INSERT INTO Orders Values ('11054','CACTU',8,'1998-04-28 00:00:00.000','1998-05-26 00:00:00.000',NULL,1,0.33,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); -INSERT INTO Orders Values ('11055','HILAA',7,'1998-04-28 00:00:00.000','1998-05-26 00:00:00.000','1998-05-05 00:00:00.000',2,120.92,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); -INSERT INTO Orders Values ('11056','EASTC',8,'1998-04-28 00:00:00.000','1998-05-12 00:00:00.000','1998-05-01 00:00:00.000',2,278.96,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); -INSERT INTO Orders Values ('11057','NORTS',3,'1998-04-29 00:00:00.000','1998-05-27 00:00:00.000','1998-05-01 00:00:00.000',3,4.13,'North/South','South House 300 Queensbridge','London',NULL,'SW7 1RZ','UK'); -INSERT INTO Orders Values ('11058','BLAUS',9,'1998-04-29 00:00:00.000','1998-05-27 00:00:00.000',NULL,3,31.14,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); -INSERT INTO Orders Values ('11059','RICAR',2,'1998-04-29 00:00:00.000','1998-06-10 00:00:00.000',NULL,2,85.8,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); -INSERT INTO Orders Values ('11060','FRANS',2,'1998-04-30 00:00:00.000','1998-05-28 00:00:00.000','1998-05-04 00:00:00.000',2,10.98,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); -INSERT INTO Orders Values ('11061','GREAL',4,'1998-04-30 00:00:00.000','1998-06-11 00:00:00.000',NULL,3,14.01,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); -INSERT INTO Orders Values ('11062','REGGC',4,'1998-04-30 00:00:00.000','1998-05-28 00:00:00.000',NULL,2,29.93,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); -INSERT INTO Orders Values ('11063','HUNGO',3,'1998-04-30 00:00:00.000','1998-05-28 00:00:00.000','1998-05-06 00:00:00.000',2,81.73,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); -INSERT INTO Orders Values ('11064','SAVEA',1,'1998-05-01 00:00:00.000','1998-05-29 00:00:00.000','1998-05-04 00:00:00.000',1,30.09,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); -INSERT INTO Orders Values ('11065','LILAS',8,'1998-05-01 00:00:00.000','1998-05-29 00:00:00.000',NULL,1,12.91,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('11066','WHITC',7,'1998-05-01 00:00:00.000','1998-05-29 00:00:00.000','1998-05-04 00:00:00.000',2,44.72,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); -INSERT INTO Orders Values ('11067','DRACD',1,'1998-05-04 00:00:00.000','1998-05-18 00:00:00.000','1998-05-06 00:00:00.000',2,7.98,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); -INSERT INTO Orders Values ('11068','QUEEN',8,'1998-05-04 00:00:00.000','1998-06-01 00:00:00.000',NULL,2,81.75,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); -INSERT INTO Orders Values ('11069','TORTU',1,'1998-05-04 00:00:00.000','1998-06-01 00:00:00.000','1998-05-06 00:00:00.000',2,15.67,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('11070','LEHMS',2,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,1,136,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); -INSERT INTO Orders Values ('11071','LILAS',1,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,1,0.93,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); -INSERT INTO Orders Values ('11072','ERNSH',4,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,2,258.64,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); -INSERT INTO Orders Values ('11073','PERIC',2,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,2,24.95,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); -INSERT INTO Orders Values ('11074','SIMOB',7,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,18.44,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); -INSERT INTO Orders Values ('11075','RICSU',8,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,6.19,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); -INSERT INTO Orders Values ('11076','BONAP',4,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,38.28,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); -INSERT INTO Orders Values ('11077','RATTC',1,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,8.53,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); --- -SELECT * FROM [Orders]; ---Products -DROP TABLE IF EXISTS [Products]; -CREATE TABLE [Products]( - [ProductID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, - [ProductName]TEXT NOT NULL, - [SupplierID]INTEGER, - [CategoryID]INTEGER, - [QuantityPerUnit]TEXT, - [UnitPrice]NUMERIC DEFAULT 0, - [UnitsInStock]INTEGER DEFAULT 0, - [UnitsOnOrder]INTEGER DEFAULT 0, - [ReorderLevel]INTEGER DEFAULT 0, - [Discontinued]TEXT NOT NULL DEFAULT '0', - CHECK ([UnitPrice]>=(0)), - CHECK ([ReorderLevel]>=(0)), - CHECK ([UnitsInStock]>=(0)), - CHECK ([UnitsOnOrder]>=(0)), - FOREIGN KEY ([ProductID]) REFERENCES [Categories] ([CategoryID]) - ON DELETE NO ACTION ON UPDATE NO ACTION, - FOREIGN KEY ([SupplierID]) REFERENCES [Suppliers] ([SupplierID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); - ---CREATE INDEX [ProductName]ON [Products]("ProductName" ASC); - -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(1, 'Chai', 1, 1, '10 boxes x 20 bags', 18, 39, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(2, 'Chang', 1, 1, '24 - 12 oz bottles', 19, 17, 40, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(3, 'Aniseed Syrup', 1, 2, '12 - 550 ml bottles', 10, 13, 70, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(4, 'Chef Anton''s Cajun Seasoning', 2, 2, '48 - 6 oz jars', 22, 53, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(5, 'Chef Anton''s Gumbo Mix', 2, 2, '36 boxes', 21.35, 0, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(6, 'Grandma''s Boysenberry Spread', 3, 2, '12 - 8 oz jars', 25, 120, 0, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(7, 'Uncle Bob''s Organic Dried Pears', 3, 7, '12 - 1 lb pkgs.', 30, 15, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(8, 'Northwoods Cranberry Sauce', 3, 2, '12 - 12 oz jars', 40, 6, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(9, 'Mishi Kobe Niku', 4, 6, '18 - 500 g pkgs.', 97, 29, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(10, 'Ikura', 4, 8, '12 - 200 ml jars', 31, 31, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(11, 'Queso Cabrales', 5, 4, '1 kg pkg.', 21, 22, 30, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(12, 'Queso Manchego La Pastora', 5, 4, '10 - 500 g pkgs.', 38, 86, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(13, 'Konbu', 6, 8, '2 kg box', 6, 24, 0, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(14, 'Tofu', 6, 7, '40 - 100 g pkgs.', 23.25, 35, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(15, 'Genen Shouyu', 6, 2, '24 - 250 ml bottles', 15.5, 39, 0, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(16, 'Pavlova', 7, 3, '32 - 500 g boxes', 17.45, 29, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(17, 'Alice Mutton', 7, 6, '20 - 1 kg tins', 39, 0, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(18, 'Carnarvon Tigers', 7, 8, '16 kg pkg.', 62.5, 42, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(19, 'Teatime Chocolate Biscuits', 8, 3, '10 boxes x 12 pieces', 9.2, 25, 0, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(20, 'Sir Rodney''s Marmalade', 8, 3, '30 gift boxes', 81, 40, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(21, 'Sir Rodney''s Scones', 8, 3, '24 pkgs. x 4 pieces', 10, 3, 40, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(22, 'Gustaf''s Kn�ckebr�d', 9, 5, '24 - 500 g pkgs.', 21, 104, 0, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(23, 'Tunnbr�d', 9, 5, '12 - 250 g pkgs.', 9, 61, 0, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(24, 'Guaran� Fant�stica', 10, 1, '12 - 355 ml cans', 4.5, 20, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(25, 'NuNuCa Nu�-Nougat-Creme', 11, 3, '20 - 450 g glasses', 14, 76, 0, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(26, 'Gumb�r Gummib�rchen', 11, 3, '100 - 250 g bags', 31.23, 15, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(27, 'Schoggi Schokolade', 11, 3, '100 - 100 g pieces', 43.9, 49, 0, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(28, 'R�ssle Sauerkraut', 12, 7, '25 - 825 g cans', 45.6, 26, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(29, 'Th�ringer Rostbratwurst', 12, 6, '50 bags x 30 sausgs.', 123.79, 0, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(30, 'Nord-Ost Matjeshering', 13, 8, '10 - 200 g glasses', 25.89, 10, 0, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(31, 'Gorgonzola Telino', 14, 4, '12 - 100 g pkgs', 12.5, 0, 70, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(32, 'Mascarpone Fabioli', 14, 4, '24 - 200 g pkgs.', 32, 9, 40, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(33, 'Geitost', 15, 4, '500 g', 2.5, 112, 0, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(34, 'Sasquatch Ale', 16, 1, '24 - 12 oz bottles', 14, 111, 0, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(35, 'Steeleye Stout', 16, 1, '24 - 12 oz bottles', 18, 20, 0, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(36, 'Inlagd Sill', 17, 8, '24 - 250 g jars', 19, 112, 0, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(37, 'Gravad lax', 17, 8, '12 - 500 g pkgs.', 26, 11, 50, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(38, 'C�te de Blaye', 18, 1, '12 - 75 cl bottles', 263.5, 17, 0, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(39, 'Chartreuse verte', 18, 1, '750 cc per bottle', 18, 69, 0, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(40, 'Boston Crab Meat', 19, 8, '24 - 4 oz tins', 18.4, 123, 0, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(41, 'Jack''s New England Clam Chowder', 19, 8, '12 - 12 oz cans', 9.65, 85, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(42, 'Singaporean Hokkien Fried Mee', 20, 5, '32 - 1 kg pkgs.', 14, 26, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(43, 'Ipoh Coffee', 20, 1, '16 - 500 g tins', 46, 17, 10, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(44, 'Gula Malacca', 20, 2, '20 - 2 kg bags', 19.45, 27, 0, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(45, 'Rogede sild', 21, 8, '1k pkg.', 9.5, 5, 70, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(46, 'Spegesild', 21, 8, '4 - 450 g glasses', 12, 95, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(47, 'Zaanse koeken', 22, 3, '10 - 4 oz boxes', 9.5, 36, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(48, 'Chocolade', 22, 3, '10 pkgs.', 12.75, 15, 70, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(49, 'Maxilaku', 23, 3, '24 - 50 g pkgs.', 20, 10, 60, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(50, 'Valkoinen suklaa', 23, 3, '12 - 100 g bars', 16.25, 65, 0, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(51, 'Manjimup Dried Apples', 24, 7, '50 - 300 g pkgs.', 53, 20, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(52, 'Filo Mix', 24, 5, '16 - 2 kg boxes', 7, 38, 0, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(53, 'Perth Pasties', 24, 6, '48 pieces', 32.8, 0, 0, 0, 1); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(54, 'Tourti�re', 25, 6, '16 pies', 7.45, 21, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(55, 'P�t� chinois', 25, 6, '24 boxes x 2 pies', 24, 115, 0, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(56, 'Gnocchi di nonna Alice', 26, 5, '24 - 250 g pkgs.', 38, 21, 10, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(57, 'Ravioli Angelo', 26, 5, '24 - 250 g pkgs.', 19.5, 36, 0, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(58, 'Escargots de Bourgogne', 27, 8, '24 pieces', 13.25, 62, 0, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(59, 'Raclette Courdavault', 28, 4, '5 kg pkg.', 55, 79, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(60, 'Camembert Pierrot', 28, 4, '15 - 300 g rounds', 34, 19, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(61, 'Sirop d''�rable', 29, 2, '24 - 500 ml bottles', 28.5, 113, 0, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(62, 'Tarte au sucre', 29, 3, '48 pies', 49.3, 17, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(63, 'Vegie-spread', 7, 2, '15 - 625 g jars', 43.9, 24, 0, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(64, 'Wimmers gute Semmelkn�del', 12, 5, '20 bags x 4 pieces', 33.25, 22, 80, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(65, 'Louisiana Fiery Hot Pepper Sauce', 2, 2, '32 - 8 oz bottles', 21.05, 76, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(66, 'Louisiana Hot Spiced Okra', 2, 2, '24 - 8 oz jars', 17, 4, 100, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(67, 'Laughing Lumberjack Lager', 16, 1, '24 - 12 oz bottles', 14, 52, 0, 10, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(68, 'Scottish Longbreads', 8, 3, '10 boxes x 8 pieces', 12.5, 6, 10, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(69, 'Gudbrandsdalsost', 15, 4, '10 kg pkg.', 36, 26, 0, 15, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(70, 'Outback Lager', 7, 1, '24 - 355 ml bottles', 15, 15, 10, 30, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(71, 'Flotemysost', 15, 4, '10 - 500 g pkgs.', 21.5, 26, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(72, 'Mozzarella di Giovanni', 14, 4, '24 - 200 g pkgs.', 34.8, 14, 0, 0, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(73, 'R�d Kaviar', 17, 8, '24 - 150 g jars', 15, 101, 0, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(74, 'Longlife Tofu', 4, 7, '5 kg pkg.', 10, 4, 20, 5, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(75, 'Rh�nbr�u Klosterbier', 12, 1, '24 - 0.5 l bottles', 7.75, 125, 0, 25, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(76, 'Lakkalik��ri', 23, 1, '500 ml', 18, 57, 0, 20, 0); -INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) -VALUES(77, 'Original Frankfurter gr�ne So�e', 12, 2, '12 boxes', 13, 32, 0, 15, 0); -SELECT * FROM [Products]; ---Regions -DROP TABLE IF EXISTS [Regions]; -CREATE TABLE [Regions]( - [RegionID]INTEGER NOT NULL PRIMARY KEY, - [RegionDescription]TEXT NOT NULL -); -INSERT INTO Regions (RegionID, RegionDescription) -VALUES(1, 'Eastern '); -INSERT INTO Regions (RegionID, RegionDescription) -VALUES(2, 'Westerns '); -INSERT INTO Regions (RegionID, RegionDescription) -VALUES(3, 'Northern '); -INSERT INTO Regions (RegionID, RegionDescription) -VALUES(4, 'Southern '); -SELECT * FROM [Regions]; ---Shippers -DROP TABLE IF EXISTS[Shippers]; -CREATE TABLE [Shippers]( - [ShipperID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, - [CompanyName]TEXT NOT NULL, - [Phone]TEXT -); -INSERT INTO Shippers (ShipperID, CompanyName, Phone) -VALUES(1, 'Speedy Express', '(503) 555-9831'); -INSERT INTO Shippers (ShipperID, CompanyName, Phone) -VALUES(2, 'United Package', '(503) 555-3199'); -INSERT INTO Shippers (ShipperID, CompanyName, Phone) -VALUES(3, 'Federal Shipping', '(503) 555-9931'); -SELECT * FROM [Shippers]; ---Suppliers -DROP TABLE IF EXISTS [Suppliers]; -CREATE TABLE [Suppliers]( - [SupplierID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, - [CompanyName]TEXT NOT NULL, - [ContactName]TEXT, - [ContactTitle]TEXT, - [Address]TEXT, - [City]TEXT, - [Region]TEXT, - [PostalCode]TEXT, - [Country]TEXT, - [Phone]TEXT, - [Fax]TEXT, - [HomePage]TEXT -); -INSERT INTO Suppliers VALUES(1,'Exotic Liquids','Charlotte Cooper','Purchasing Manager','49 Gilbert St.','London',NULL,'EC1 4SD','UK','(171) 555-2222',NULL,NULL); -INSERT INTO Suppliers VALUES(2,'New Orleans Cajun Delights','Shelley Burke','Order Administrator','P.O. Box 78934','New Orleans','LA','70117','USA','(100) 555-4822',NULL,'#CAJUN.HTM#'); -INSERT INTO Suppliers VALUES(3,'Grandma Kelly''s Homestead','Regina Murphy','Sales Representative','707 Oxford Rd.','Ann Arbor','MI','48104','USA','(313) 555-5735','(313) 555-3349',NULL); -INSERT INTO Suppliers VALUES(4,'Tokyo Traders','Yoshi Nagase','Marketing Manager','9-8 Sekimai -Musashino-shi','Tokyo',NULL,'100','Japan','(03) 3555-5011',NULL,NULL); -INSERT INTO Suppliers VALUES(5,'Cooperativa de Quesos ''Las Cabras''','Antonio del Valle Saavedra ','Export Administrator','Calle del Rosal 4','Oviedo','Asturias','33007','Spain','(98) 598 76 54',NULL,NULL); -INSERT INTO Suppliers VALUES(6,'Mayumi''s','Mayumi Ohno','Marketing Representative','92 Setsuko -Chuo-ku','Osaka',NULL,'545','Japan','(06) 431-7877',NULL,'Mayumi''s (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/mayumi.htm#'); -INSERT INTO Suppliers VALUES(7,'Pavlova, Ltd.','Ian Devling','Marketing Manager','74 Rose St. -Moonie Ponds','Melbourne','Victoria','3058','Australia','(03) 444-2343','(03) 444-6588',NULL); -INSERT INTO Suppliers VALUES(8,'Specialty Biscuits, Ltd.','Peter Wilson','Sales Representative','29 King''s Way','Manchester',NULL,'M14 GSD','UK','(161) 555-4448',NULL,NULL); -INSERT INTO Suppliers VALUES(9,'PB Kn�ckebr�d AB','Lars Peterson','Sales Agent','Kaloadagatan 13','G�teborg',NULL,'S-345 67','Sweden ','031-987 65 43','031-987 65 91',NULL); -INSERT INTO Suppliers VALUES(10,'Refrescos Americanas LTDA','Carlos Diaz','Marketing Manager','Av. das Americanas 12.890','S�o Paulo',NULL,'5442','Brazil','(11) 555 4640',NULL,NULL); -INSERT INTO Suppliers VALUES(11,'Heli S��waren GmbH & Co. KG','Petra Winkler','Sales Manager','Tiergartenstra�e 5','Berlin',NULL,'10785','Germany','(010) 9984510',NULL,NULL); -INSERT INTO Suppliers VALUES(12,'Plutzer Lebensmittelgro�m�rkte AG','Martin Bein','International Marketing Mgr.','Bogenallee 51','Frankfurt',NULL,'60439','Germany','(069) 992755',NULL,'Plutzer (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/plutzer.htm#'); -INSERT INTO Suppliers VALUES(13,'Nord-Ost-Fisch Handelsgesellschaft mbH','Sven Petersen','Coordinator Foreign Markets','Frahmredder 112a','Cuxhaven',NULL,'27478','Germany','(04721) 8713','(04721) 8714',NULL); -INSERT INTO Suppliers VALUES(14,'Formaggi Fortini s.r.l.','Elio Rossi','Sales Representative','Viale Dante, 75','Ravenna',NULL,'48100','Italy','(0544) 60323','(0544) 60603','#FORMAGGI.HTM#'); -INSERT INTO Suppliers VALUES(15,'Norske Meierier','Beate Vileid','Marketing Manager','Hatlevegen 5','Sandvika',NULL,'1320','Norway','(0)2-953010',NULL,NULL); -INSERT INTO Suppliers VALUES(16,'Bigfoot Breweries','Cheryl Saylor','Regional Account Rep.','3400 - 8th Avenue -Suite 210','Bend','OR','97101','USA','(503) 555-9931',NULL,NULL); -INSERT INTO Suppliers VALUES(17,'Svensk Sj�f�da AB','Michael Bj�rn','Sales Representative','Brovallav�gen 231','Stockholm',NULL,'S-123 45','Sweden','08-123 45 67',NULL,NULL); -INSERT INTO Suppliers VALUES(18,'Aux joyeux eccl�siastiques','Guyl�ne Nodier','Sales Manager','203, Rue des Francs-Bourgeois','Paris',NULL,'75004','France','(1) 03.83.00.68','(1) 03.83.00.62',NULL); -INSERT INTO Suppliers VALUES(19,'New England Seafood Cannery','Robb Merchant','Wholesale Account Agent','Order Processing Dept. -2100 Paul Revere Blvd.','Boston','MA','02134','USA','(617) 555-3267','(617) 555-3389',NULL); -INSERT INTO Suppliers VALUES(20,'Leka Trading','Chandra Leka','Owner','471 Serangoon Loop, Suite #402','Singapore',NULL,'0512','Singapore','555-8787',NULL,NULL); -INSERT INTO Suppliers VALUES(21,'Lyngbysild','Niels Petersen','Sales Manager','Lyngbysild -Fiskebakken 10','Lyngby',NULL,'2800','Denmark','43844108','43844115',NULL); -INSERT INTO Suppliers VALUES(22,'Zaanse Snoepfabriek','Dirk Luchte','Accounting Manager','Verkoop -Rijnweg 22','Zaandam',NULL,'9999 ZZ','Netherlands','(12345) 1212','(12345) 1210',NULL); -INSERT INTO Suppliers VALUES(23,'Karkki Oy','Anne Heikkonen','Product Manager','Valtakatu 12','Lappeenranta',NULL,'53120','Finland','(953) 10956',NULL,NULL); -INSERT INTO Suppliers VALUES(24,'G''day, Mate','Wendy Mackenzie','Sales Representative','170 Prince Edward Parade -Hunter''s Hill','Sydney','NSW','2042','Australia','(02) 555-5914','(02) 555-4873','G''day Mate (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/gdaymate.htm#'); -INSERT INTO Suppliers VALUES(25,'Ma Maison','Jean-Guy Lauzon','Marketing Manager','2960 Rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada','(514) 555-9022',NULL,NULL); -INSERT INTO Suppliers VALUES(26,'Pasta Buttini s.r.l.','Giovanni Giudici','Order Administrator','Via dei Gelsomini, 153','Salerno',NULL,'84100','Italy','(089) 6547665','(089) 6547667',NULL); -INSERT INTO Suppliers VALUES(27,'Escargots Nouveaux','Marie Delamare','Sales Manager','22, rue H. Voiron','Montceau',NULL,'71300','France','85.57.00.07',NULL,NULL); -INSERT INTO Suppliers VALUES(28,'Gai p�turage','Eliane Noz','Sales Representative','Bat. B -3, rue des Alpes','Annecy',NULL,'74000','France','38.76.98.06','38.76.98.58',NULL); -INSERT INTO Suppliers VALUES(29,'For�ts d''�rables','Chantal Goulet','Accounting Manager','148 rue Chasseur','Ste-Hyacinthe','Qu�bec','J2S 7S8','Canada','(514) 555-2955','(514) 555-2921',NULL); -SELECT * FROM [Suppliers]; ---Territories -DROP TABLE IF EXISTS[Territories]; -CREATE TABLE [Territories]( - [TerritoryID]TEXT NOT NULL, - [TerritoryDescription]TEXT NOT NULL, - [RegionID]INTEGER NOT NULL, - PRIMARY KEY ("TerritoryID"), - FOREIGN KEY ([RegionID]) REFERENCES [Regions] ([RegionID]) - ON DELETE NO ACTION ON UPDATE NO ACTION -); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('01581', 'Westboro ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('01730', 'Bedford ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('01833', 'Georgetow ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('02116', 'Boston ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('02139', 'Cambridge ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('02184', 'Braintree ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('02903', 'Providence ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('03049', 'Hollis ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('03801', 'Portsmouth ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('06897', 'Wilton ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('07960', 'Morristown ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('08837', 'Edison ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('10019', 'New York ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('10038', 'New York ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('11747', 'Mellvile ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('14450', 'Fairport ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('19428', 'Philadelphia ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('19713', 'Neward ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('20852', 'Rockville ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('27403', 'Greensboro ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('27511', 'Cary ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('29202', 'Columbia ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('30346', 'Atlanta ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('31406', 'Savannah ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('32859', 'Orlando ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('33607', 'Tampa ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('40222', 'Louisville ', 1); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('44122', 'Beachwood ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('45839', 'Findlay ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('48075', 'Southfield ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('48084', 'Troy ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('48304', 'Bloomfield Hills ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('53404', 'Racine ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('55113', 'Roseville ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('55439', 'Minneapolis ', 3); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('60179', 'Hoffman Estates ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('60601', 'Chicago ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('72716', 'Bentonville ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('75234', 'Dallas ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('78759', 'Austin ', 4); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('80202', 'Denver ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('80909', 'Colorado Springs ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('85014', 'Phoenix ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('85251', 'Scottsdale ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('90405', 'Santa Monica ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('94025', 'Menlo Park ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('94105', 'San Francisco ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('95008', 'Campbell ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('95054', 'Santa Clara ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('95060', 'Santa Cruz ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('98004', 'Bellevue ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('98052', 'Redmond ', 2); -INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) -VALUES('98104', 'Seattle ', 2); -SELECT * FROM [Territories]; --- --- Valon Hoti @ 2010-07-04 [YYYY-MM-DD] --- Prishtine,10000 --- KOSOVE --- DATABASE : Northwind --- ORIGIN : MS SQL --- SOURCE : SQLITE 3 --- --- Converted VIEWS from MS SQL version to Sqlite 3 --- ---[Alphabetical list of products] -DROP VIEW IF EXISTS [Alphabetical list of products]; --- -CREATE VIEW [Alphabetical list of products] -AS -SELECT Products.*, - Categories.CategoryName -FROM Categories - INNER JOIN Products ON Categories.CategoryID = Products.CategoryID -WHERE (((Products.Discontinued)=0)); --- -SELECT * FROM [Alphabetical list of products]; -- OK --- ---[Current Product List]; -DROP VIEW IF EXISTS [Current Product List]; -CREATE VIEW [Current Product List] -AS -SELECT ProductID, - ProductName -FROM Products -WHERE Discontinued=0; --- -SELECT * FROM [Current Product List]; -- OK --- ---[Customer and Suppliers by City]; -DROP VIEW IF EXISTS [Customer and Suppliers by City]; --- -CREATE VIEW [Customer and Suppliers by City] -AS -SELECT City, - CompanyName, - ContactName, - 'Customers' AS Relationship -FROM Customers -UNION -SELECT City, - CompanyName, - ContactName, - 'Suppliers' -FROM Suppliers -ORDER BY City, CompanyName; --- -SELECT * FROM [Customer and Suppliers by City]; -- OK --- ---[Invoices]; -DROP VIEW IF EXISTS [Invoices]; --- -CREATE VIEW [Invoices] -AS -SELECT Orders.ShipName, - Orders.ShipAddress, - Orders.ShipCity, - Orders.ShipRegion, - Orders.ShipPostalCode, - Orders.ShipCountry, - Orders.CustomerID, - Customers.CompanyName AS CustomerName, - Customers.Address, - Customers.City, - Customers.Region, - Customers.PostalCode, - Customers.Country, - (Employees.FirstName + ' ' + Employees.LastName) AS Salesperson, - Orders.OrderID, - Orders.OrderDate, - Orders.RequiredDate, - Orders.ShippedDate, - Shippers.CompanyName As ShipperName, - [Order Details].ProductID, - Products.ProductName, - [Order Details].UnitPrice, - [Order Details].Quantity, - [Order Details].Discount, - ((([Order Details].UnitPrice*Quantity*(1-Discount))/100)*100) AS ExtendedPrice, - Orders.Freight -FROM Customers - JOIN Orders ON Customers.CustomerID = Orders.CustomerID - JOIN Employees ON Employees.EmployeeID = Orders.EmployeeID - JOIN [Order Details] ON Orders.OrderID = [Order Details].OrderID - JOIN Products ON Products.ProductID = [Order Details].ProductID - JOIN Shippers ON Shippers.ShipperID = Orders.ShipVia; --- -SELECT * FROM [Invoices]; -- OK --- ---[Orders Qry]; -DROP VIEW IF EXISTS [Orders Qry]; --- -CREATE VIEW [Orders Qry] AS -SELECT Orders.OrderID, - Orders.CustomerID, - Orders.EmployeeID, - Orders.OrderDate, - Orders.RequiredDate, - Orders.ShippedDate, - Orders.ShipVia, - Orders.Freight, - Orders.ShipName, - Orders.ShipAddress, - Orders.ShipCity, - Orders.ShipRegion, - Orders.ShipPostalCode, - Orders.ShipCountry, - Customers.CompanyName, - Customers.Address, - Customers.City, - Customers.Region, - Customers.PostalCode, - Customers.Country -FROM Customers - JOIN Orders ON Customers.CustomerID = Orders.CustomerID; --- -SELECT * FROM [Orders Qry]; -- OK --- ---[Order Subtotals] -DROP VIEW IF EXISTS [Order Subtotals]; --- -CREATE VIEW [Order Subtotals] AS -SELECT [Order Details].OrderID, -Sum(([Order Details].UnitPrice*Quantity*(1-Discount)/100)*100) AS Subtotal -FROM [Order Details] -GROUP BY [Order Details].OrderID; --- -SELECT * FROM [Order Subtotals]; -- OK --- ---[Orders Qry]; -DROP VIEW IF EXISTS [Orders Qry]; --- -CREATE VIEW [Orders Qry] AS -SELECT Orders.OrderID, - Orders.CustomerID, - Orders.EmployeeID, - Orders.OrderDate, - Orders.RequiredDate, - Orders.ShippedDate, - Orders.ShipVia, - Orders.Freight, - Orders.ShipName, - Orders.ShipAddress, - Orders.ShipCity, - Orders.ShipRegion, - Orders.ShipPostalCode, - Orders.ShipCountry, - Customers.CompanyName, - Customers.Address, - Customers.City, - Customers.Region, - Customers.PostalCode, - Customers.Country -FROM Customers - INNER JOIN Orders ON Customers.CustomerID = Orders.CustomerID; --- -SELECT * FROM [Orders Qry]; -- OK --- ---[Product Sales for 1997] -DROP VIEW IF EXISTS [Product Sales for 1997]; --- -CREATE VIEW [Product Sales for 1997] AS -SELECT Categories.CategoryName, - Products.ProductName, - Sum(([Order Details].UnitPrice*Quantity*(1-Discount)/100)*100) AS ProductSales -FROM Categories - JOIN Products On Categories.CategoryID = Products.CategoryID - JOIN [Order Details] on Products.ProductID = [Order Details].ProductID - JOIN [Orders] on Orders.OrderID = [Order Details].OrderID -WHERE Orders.ShippedDate Between DATETIME('1997-01-01') And DATETIME('1997-12-31') -GROUP BY Categories.CategoryName, Products.ProductName; --- -SELECT * FROM [Product Sales for 1997]; -- OK ---[Products Above Average Price] -DROP VIEW IF EXISTS [Products Above Average Price]; --- -CREATE VIEW [Products Above Average Price] AS -SELECT Products.ProductName, - Products.UnitPrice -FROM Products -WHERE Products.UnitPrice>(SELECT AVG(UnitPrice) From Products); --- -SELECT * FROM [Products Above Average Price]; -- OK --- ---[Products by Category] -DROP VIEW IF EXISTS [Products by Category]; --- -CREATE VIEW [Products by Category] AS -SELECT Categories.CategoryName, - Products.ProductName, - Products.QuantityPerUnit, - Products.UnitsInStock, - Products.Discontinued -FROM Categories - INNER JOIN Products ON Categories.CategoryID = Products.CategoryID -WHERE Products.Discontinued <> 1; --- -SELECT * FROM [Products by Category]; -- OK --- ---[Quarterly Orders] -DROP VIEW IF EXISTS [Quarterly Orders]; --- -CREATE VIEW [Quarterly Orders] AS -SELECT DISTINCT Customers.CustomerID, - Customers.CompanyName, - Customers.City, - Customers.Country -FROM Customers - JOIN Orders ON Customers.CustomerID = Orders.CustomerID -WHERE Orders.OrderDate BETWEEN DATETIME('1997-01-01') And DATETIME('1997-12-31'); --- -SELECT * FROM [Quarterly Orders]; --OK --- ---[Sales Totals by Amount] -DROP VIEW IF EXISTS [Sales Totals by Amount]; --- -CREATE VIEW [Sales Totals by Amount] AS -SELECT [Order Subtotals].Subtotal AS SaleAmount, - Orders.OrderID, - Customers.CompanyName, - Orders.ShippedDate -FROM Customers - JOIN Orders ON Customers.CustomerID = Orders.CustomerID - JOIN [Order Subtotals] ON Orders.OrderID = [Order Subtotals].OrderID -WHERE ([Order Subtotals].Subtotal >2500) -AND (Orders.ShippedDate BETWEEN DATETIME('1997-01-01') And DATETIME('1997-12-31')); --- -Select * From [Sales Totals by Amount]; --OK --- ---[Summary of Sales by Quarter] -DROP VIEW IF EXISTS [Summary of Sales by Quarter]; -CREATE VIEW [Summary of Sales by Quarter] AS -SELECT Orders.ShippedDate, - Orders.OrderID, - [Order Subtotals].Subtotal -FROM Orders - INNER JOIN [Order Subtotals] ON Orders.OrderID = [Order Subtotals].OrderID -WHERE Orders.ShippedDate IS NOT NULL; --- -SELECT * FROM [Sales Totals by Amount]; --- ---[Summary of Sales by Year] -DROP VIEW IF EXISTS [Summary of Sales by Year]; -CREATE VIEW [Summary of Sales by Year] AS -SELECT Orders.ShippedDate, - Orders.OrderID, - [Order Subtotals].Subtotal -FROM Orders - INNER JOIN [Order Subtotals] ON Orders.OrderID = [Order Subtotals].OrderID -WHERE Orders.ShippedDate IS NOT NULL; --- ---[Category Sales for 1997] -DROP VIEW IF EXISTS [Category Sales for 1997]; --- -CREATE VIEW [Category Sales for 1997] AS -SELECT [Product Sales for 1997].CategoryName, - Sum([Product Sales for 1997].ProductSales) AS CategorySales -FROM [Product Sales for 1997] -GROUP BY [Product Sales for 1997].CategoryName; --- -SELECT * FROM [Category Sales for 1997]; --- ---[Order Details Extended] -DROP VIEW IF EXISTS [Order Details Extended]; -CREATE VIEW [Order Details Extended] AS -SELECT [Order Details].OrderID, - [Order Details].ProductID, - Products.ProductName, - [Order Details].UnitPrice, - [Order Details].Quantity, - [Order Details].Discount, - ([Order Details].UnitPrice*Quantity*(1-Discount)/100)*100 AS ExtendedPrice -FROM Products - JOIN [Order Details] ON Products.ProductID = [Order Details].ProductID; --- -SELECT * FROM [Order Details Extended]; --- ---[Sales by Category] -DROP VIEW IF EXISTS [Sales by Category]; --- -CREATE VIEW [Sales by Category] AS -SELECT Categories.CategoryID, - Categories.CategoryName, - Products.ProductName, - Sum([Order Details Extended].ExtendedPrice) AS ProductSales -FROM Categories - JOIN Products - ON Categories.CategoryID = Products.CategoryID - JOIN [Order Details Extended] - ON Products.ProductID = [Order Details Extended].ProductID - JOIN Orders - ON Orders.OrderID = [Order Details Extended].OrderID -WHERE Orders.OrderDate BETWEEN DATETIME('1997-01-01') And DATETIME('1997-12-31') -GROUP BY Categories.CategoryID, Categories.CategoryName, Products.ProductName; --- -SELECT * FROM [Sales by Category]; --OK \ No newline at end of file diff --git a/src/DbReader.Tracking.SampleAssembly/SampleClasses.cs b/src/DbReader.Tracking.SampleAssembly/SampleClasses.cs deleted file mode 100644 index 5e156fe..0000000 --- a/src/DbReader.Tracking.SampleAssembly/SampleClasses.cs +++ /dev/null @@ -1,6 +0,0 @@ -namespace DbReader.Tracking.SampleAssembly; -using DbReader.Tracking; -[Tracked] -public record PositionalRecord(int Id, string Name); - - diff --git a/src/DbReader.Tracking/DbReader.Tracking.targets b/src/DbReader.Tracking/DbReader.Tracking.targets deleted file mode 100644 index 0c1451f..0000000 --- a/src/DbReader.Tracking/DbReader.Tracking.targets +++ /dev/null @@ -1,19 +0,0 @@ - - - $(MSBuildThisFileDirectory)../lib/net8.0/DbReader.Tracking.dll - TrackedAttribute - - - - - - - - - - - - - - - From 660e885a61177a2a31cff96872840b55c4137131 Mon Sep 17 00:00:00 2001 From: Bernhard Richter Date: Fri, 14 Mar 2025 17:12:51 +0100 Subject: [PATCH 2/2] Removed db from .gitignore --- .gitignore | 2 +- src/DbClient.Tests/db/northwind.sql | 6286 +++++++++++++++++++++++++++ 2 files changed, 6287 insertions(+), 1 deletion(-) create mode 100644 src/DbClient.Tests/db/northwind.sql diff --git a/.gitignore b/.gitignore index 29694a4..cedfdd7 100644 --- a/.gitignore +++ b/.gitignore @@ -70,7 +70,7 @@ dotnet-script.zip *.nupkg project.lock.json LightInject.PreProcessor.dll -db/ + lib/ ## TODO: If you have NuGet Package Restore enabled, uncomment this packages/ diff --git a/src/DbClient.Tests/db/northwind.sql b/src/DbClient.Tests/db/northwind.sql new file mode 100644 index 0000000..652f713 --- /dev/null +++ b/src/DbClient.Tests/db/northwind.sql @@ -0,0 +1,6286 @@ +-- Valon Hoti @ 2010-07-04 [YYYY-MM-DD] +-- Prishtine,10000 +-- KOSOVE +-- DATABASE : Northwind +-- ORIGIN : MS SQL +-- SOURCE : SQLITE 3 +-- +-- Converted TABLES and VIEWS from MS SQL 2000 to Sqlite 3 +-- + +-- Modified by Len Boyette @ 2013-02-08 +-- Added foreign keys + + +-- Categories +DROP TABLE IF EXISTS [Categories]; +CREATE TABLE [Categories] +( [CategoryID] INTEGER PRIMARY KEY AUTOINCREMENT, + [CategoryName] TEXT, + [Description] TEXT, + [Picture] BLOB +); + +INSERT INTO Categories VALUES(null,'Beverages','Soft drinks, coffees, teas, beers, and ales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ategories VALUES(null,'Condiments','Sweet and savory sauces, relishes, spreads, and seasonings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ategories VALUES(null,'Confections','Desserts, candies, and sweet breads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ategories VALUES(null,'Dairy Products','Cheeses',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B7900010004000000500000FFEE002641646F62650064C0000000010300150403060A0D00000B2700001034000018B200002619FFDB0084000202020202020202020203020202030403020203040504040404040506050505050505060607070807070609090A0A09090C0C0C0C0C0C0C0C0C0C0C0C0C0C0C01030303050405090606090D0B090B0D0F0E0E0E0E0F0F0C0C0C0C0C0F0F0C0C0C0C0C0C0F0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0C0CFFC2001108006E00AF03011100021101031101FFC400DA00000203010101010000000000000000000507040608030201000100020301010100000000000000000000030401020500060710000103030304010501000301000000000100020311040510211231221306142030413223164315250711000103020404030603060700000000000100020311213141120410512213618132207191B14252231405A1D1E1824353306272A28324151200020105000203000000000000000000011130001020402131126051611301000202010402020301010100000000010011213141105161718191A1B120C1D1F0F1E1FFDA000C0301000211031100000111F3BF71D41A8A5D3041288DAC773E530E8552B54661DB2328A2AAF68E4B6FD2EE1F55E0729F95DEF0CABDC83EF6A4E2565CD645A3DC7748E039BBE9E268AE74737F7559F9AF688517BCA691BBA568D2CC18AB392A9EE107B8B6AAB6067845B8A65A4C8CA48CACD09F5275A274F4FBC7BC9F4A8D6D8A9BD9A7173E86C83E832E11C0252E8296D88228E61773DF2A36BCF36109AB506258522107CAD4FBD59514235AC8E8DCBC1CFF0091EC915A8214749AB9CDEA3CF5188D6199B27C53BFD63AA0AEB62FD2F5A05DF3F635AD5CAC3C4F9C1A9371B894117653E951513A29AAB3AD4D847671EA1AD50A9343E332F8063DC09912F85DDBA78A4AE45BF9E1EDA6723935F6832588688C35D8B179AD5825B5B49F9AC65A6B8A776B6F40864BF39B95B4F6743E609B44C1B1B39DF0DC43601C91B22737D7A4DD674A6763D5DC8B49C316240D093FB8E48D3F9CFD8481786DE3273176D69EA3129E8B759825A556373B5852D9A2BF13748B4B745CD9E14F4AAED116D24BCFD40A491712ED679BAE6751967184D2D5801AD4DA43731CAD1EC67D2E4D1436544737556B449B33C2E4A2AFA40A794C3D34113501348BC310279846C93D5119F52B9948ECFD666B69D9CABCFE1D116D08641CED84CE5AA7BAB38342CD295AC0D25C73B00C24191D4336CC032B614AF65028E11CB62F42E1B06822780F42ADB656979AA8A5A904F53DB2899A41E954932BC2CF32F72F6411B854D2BC48C83A24A7140402C995A8CE4ECF8E8B0744BA5D5806E8752EDAD1F3B574B4C512587BB9B36A22D757B394AD798D1A4D74439442A246DA2A26AF830E8742252D7BF2B0F48E8CAB4CE302E5302E2DF83C489585525E7732884024C0FD3114AF3FB214F703DC0E239CC06AC8D15A196B9B8F61F71DD56B720B2D78B6B2732F3B65ED5042767BC8BF0B9B3B6149C0ACC602271DAACCE888B757AB1127838EC2FA637478BC65667A05EB24716E54DA0E65EC40D70454E2CDBA1CCF8F9CCB43D263F95249B8B57F15F0C666BD321AB03BBA10ED049680198CC531D6880AAC4F5D16C5A749C11CC5A4D880402570775520F7FFDA000801010001050292DE40AFDE03A47D5555B0ABEC6335B788B4451129B13A8237057399B4B593257BFF00A794BB61C53EE98E22E1ABE4350B86A6CB54260179815E40B9841B086E46525EF2982A71F67558BC5485A22DADEDCB101C45D3C88FDB2E4FC87CA4BA5C87CCF4B7CAE0BE5C810C83933269990694DBC085E3536EC2F9229FC0457AFAB8AB38F93F19644AB51E18FC24A0DA2276B977F3F629FC9744AC55E38E225451555CCA64B2973A69E1732F7793038816D76DF0DB5C1EFA6F85B3322B0B60C6431F15D10EAF5973C2CCE3AE7337DFE73205D6B86BAB31C03E6B9F4286D9DFE2ED8BE2F4CC088F27EAFF001EE3FF009D621ECBFF007EB3B98330B099AB5C7D85CFA736E20CEE1DF8BBB861E7261AD1F136D8712D453635236A7D9DFE2B0F541E4CECD69E375CD97C86613D6E1B7BBBE98CAE0A32B21652BE4C146CC74393B1C77B35BDFF00A2E62CA4B6F4495D6F2DFC11DADCD2ED63EC64F362BC72BADE07353589CE6464742BDCA71C3D4E4E3ECD908A8F633781AAED842E8A37227F9BEE6479C487CD7994E1F1392CB5BDEDA3EE6660B774F2192CE69AD9966EF25A4B2B6164D3CB24B0E54DB476F9C8255ED57ED9EF30773E0F60C94D19735CA5BE6DAC57195BA99C2D5DFF004D6D701D247B8BAC1F99F87C7BB1EAF667C8FE3BB3FA8BEF5AB7BA5FE632E2E63F56A41611BA2B3BD01ED91A53FC6E59B30D9473DD995CDB831DCBF3523DF69912F576E74F0FECB23388F1D15BC8D923B986165B4F0DC092BC676F7F041B450C7C93626D238378C8E134BBC92BA43415F6732F85CF45DBC739A5B5EF138FC835CAD5F1B5D34EF95537C9CEF92EED2EA7B59ADA7F9D8E9877210A81B44231CD3A9133282536D8AA32CE653C6268B258ABCC622E513930AC69EEB43DB541B5597C6CCC9A26BE49AD60F858D986FF009E344D890D2E5F537079A23807272CA6260CB436F88C5E3F0F97C3477368C2B1F351D693F64B996B1D81B98B20A6B7F018CC10BE4CD5AB53385D45E1351DE9A8279E225755DC7BAE7B9C3BDD337C6E7B949DED7073A3C844D8A78E42C36B9291AA491D5F51BCF0E4F26E0B373CB139D72E23D46E2E1F93731BE7B5671B7694D53BF77A91DC5395A50097F670D2424ABC97CB749A68A0689D7ADE32D6DA47FF00676471F15F0B8F5AB86BB0B696987B7932EDF9039F8D9CB8B7F497F67A9AA8A7F1E6F4EE9B2BC3336D21AD505655AE2797182BC4D14FC6B7DE5F8F279397FFDA00080102000105024D080D1E9C8AE2B81422281510A0BC7D636FD9AA60411523935A5C9C9ABA291EA0DD00A6358C05454FB0CD1E538A6C9C51692B8EE5C8956E3494A6FD145454544F0804CD2472EA82AD13510A4FD61D879029082989E789F22E6848A3A3945A8C7D111C4929EE5CB7AA2990ED30EE9026740551376477344111BC478063C14640179422FD8A91C882846508CAE14206CE0A4357B53B670D0855D0F4DCA636A6F38F0AECE6D11544F154C1B17700D05C4C9C4325407753B643DC117511712A46F1634D7431A89BC1509344111A3D814436B821C4685A83171DB8209E2BA5DBF668A68D354EFA0272014640672D00DDA101A16A2DD4EFA15D13B768D28814426B54A78A734D23D9A1043470475A6842E354E146E8E45A821B079E457E346BB774BB31F5451D0951F72238AAA32EF4411DD5534AB87F101008EFA1D29A30D41088D1A78BEE772F40287F6A7701465768854C8FE6E011544C15075AECD6D0228A011154E15258810D5E42B7E3BD3FE31F61B4ABB53A0D1CA4E8BFFFDA00080103000105025F8255534AAA7B939C8B9724CB5738387640DEF3F67F2538A0829260D5C948FAE918DE01C6391E98DA4A423F637ABF468D24DCF355D231B9D98E2B8A28FD4535C9A53CE8148E4F76A15A6EFB97F10E29AF4E4D7F2D68A5D9751A0BF283B980349374742534AC78ABEF4F6A068A47724C141A02A505C4B4B13775C4AA28DC9AA478A3DF544A009D71AD579FA446A0E835A2A513CD05BFEDF9081DB914D2A4FD9ADE4A81A3C3CCBECC856E38327DDB13680A02A83404D755E469E4A299DCD3450574AE8C7A94F743B69550CA4AE49C7776C8A66900EF715D5385137EA2F47AB5A8A3D215CD39C9C7529BA376468E54E2FD4AAE837311DE435769C939C81DB5AE8D72AD113C9FA976B18FA805D11D5AD5276A6BB92A5536155A2AAE88E80268450FA8EA0A78E4C8147A5CFE95ED77528A604353F4935D4145C86C9AEA2F2A92AF3E3DB6A947AB7E83D07D0CFB0CEABFFFDA0008010202063F0287B71AC275A02758A37F34A002124D7ED76C8F9CBBAAE9D2B189C0BEA202373BCFD6703272A854AF5DE7CD4FFFDA0008010302063F02898AF5D733BCDEEBBF8A7A284A4E89B2AE40A3382CDECF696B3D37F08FFFDA0008010101063F026DAA4E4134641A07C38B5350AF82AD6CB057084336A6970F564BF32CA131CBADBE46A133735E99DAD733F985572FF043BB8DA9AE819D938642B4E2DB57EE29B2001ECA63CA8B4D2FCD5DDAB97034CECAC685B65526EBF4921FD50BBB12FF00C761FB158F0BABB97A82C562AC56375B93505F1B6B13F03E344EFF003701E0981D6D57F24228ECDE485B8D7914FA73E1B9D89F4B271337E143ECE29AD66A738D9AD17AAD12B1F1BFED774942B619951CCC8A31098C17CBE14F5553AF5AE68F00699A6E447B2E7725343B77303D91BA63ACD0507C553F087F37F05319A68E8F610D6349B9F82646E2435EF6B49173728077EA6F7579463F7A14DFC823CC6815F9AA384F33FF00B8E929FB0295BB49AB1B4558C7E3F15BDDE6EA001F0C419B7D46E0B8DC81E58AEFC957C133008DD90232E1FADED774D99F3FEA1B5741B57B4D5ADAB48A104F8AED9DF9616DC3B47F14F8FBCDDD404D23DCB303E1E09AD41A47A882D4D00569ECFF00A94CCFBF6B237E4561E68343B4B9AE0E69F1099BEDE3FBC61756081B8579BAAAA78F798DD60FA80C56E773B9676DCE20445DEAA29769349DB94F54120C5AE5A43A29E33E8941D35F22A79773BE8DB308DC76F0C771DCA5B538E4A6FF00D2747F9AD0E0E0C76A0EFB54CD95F46BFA58473181547370C57E139B276FA4D175701ACD38C71782DB8FEE07B7FDA8F9F1079F17118D1753CFC544DEAA6248C93AB8FD3C3553BFB7FEEE5E632561478EA0E0BA49EDB85EEBB913CC6F79E9737C16DA438BE2638F985ADCBBA45FFA6D5DBDD1ABA84B5E7E4A85C116B4F4B57E9B2D7FACD0EF3B2A8388B703262EFA1BE2AAE968326B70504D3B7FEC5356ACF49C2AB4A0BB9B770639DEA61C14B2CCE1ADCDD21AD45B5E9180E0E6BC0F723D979DB13F48BB7E09CC643D01D464D514239A8DBDDFC6A75DAA2AB6B13EEE646D693EE083730705669344E120133E940710BF3113C45359BA5B60EF24E738D49CD45303431BDAEF82275D6F643AA8502054B0D4D1002E4E0146C2DA3DF1B7A395931C6DCC2D5348D8DBCDC68AB04AD940C749AA28F1A95E9585954602C9D5B35B8A373DB75DAD475568056CA2A42FECB1FD53FD3AB971172AE4A6B4AEEB1ADD5F75175BB5709013D311D2D6A6CDB794C523702141BB2DD2E963AB878E68FB15A9C3D3970D23C4F99BA97B5EACFDD9A91F3B838BE82066600CD14F89C039AE0450E17511DC86E99ABA0B4D70E7EC37DE80F3E2FDCC6C2F89F775322991C4C3248E346B0624ADB6D9DEA8E3A3BDF9A3ED5168CBEA0B4D34D38B6095DDB734D62987D251D8CD1C7B893592FDC160ABDC57E6767B711CBB4660C6D3546CF7663837DE9A7C2EA8D2DB7D49D13E9DC1714543E45770358C78FAAC0AA39E5DCC8BA64D0B83D920A8582A8C153895754188C500DB9365A7318F0BDE9804E6076914A2E81A43B2F1550569AAC5415B871A109807A8E0131B52D049D5EF58A645A8BA1ED3F50C80C7E680A5B561E6AA45093747E7C4F071FA8E6A761E9907A4F81CD1E274B7AE4B35814BC98748F2E22FA5337523CCD28F4370684C92B85E88B641639E615209DAE6E5AEC53B4BBB9B995BF8B2FEE51869E9D63538FBD1A7A50AF92F9FB363D74C3C3D8DC9D9B7B9BCED3C40CF2B91557F3F61885797014C7347B40D73A724CC6BAC2FFFDA0008010103013F21346DEF2507FB2F0D00F852C64AE577096F91FA974ADB89E368FA878046184F986DD532F2829748775214E46A80D009DC694599DB373D8F243B0CDCCC385A918697D41B9E955131B337C3897AB1FA177FA963148DCA94BA87D8C59E13E618B815F7208769E35476870E4EFE097C56C713584E58CB8EFD9BB59F58C6421C9BFF00BCCBBC4FFBC423183FEF1345F918ACA3E99DA7E989AFC9700CB368CC3073A8A97A0F12DF7956FE264C7705EEC47BC41F84A00F6BDD9B0CB925D08252A1166AC7E06664E47C1334CAD781EE97EA0A587A2DDE03A44B907C925D83994E4364FD4845AF702DC873335A7A239DC9DB30ABE467DA3BF042D1DEDEE6F12B30C0A0CDBC7C4C2F1B6142D95B2F306A7649DBF4C474D8D6609832CCB6B20F2BFA8329489778641C3296947A021439730E122F0BFBC7262172D79A7080B365D8DFA4217268BB6B54A23B6731BC54DECA65FB8ED98567687B5EE665D63146AF255A3270438D8446BE67BCD0440CA2DB1FF92B830B9F53C3D3C7B88F0553F3CFE61560701CCC02E1220D6AA51872C9E0994745F2C2EB1CF67F713155B63C931772AAAB496BAED09E1EC7A8B31125C1940161F53456882E4076B8845C3560D21CF6A996EDD09E4310259CEA0B13516C3440CB2CD64581C03A94F25CCB0C9F8A1366F07276B20DACD4C510ED32A296281887969D12991CEBA084D8D613DFEBBFF2198305A04E0A8A704370764A7241A7BA8F2EB7A56267CAF9270869D11597798B50CE4C301AB5903F6DCDA980746EAAA7F83CAD55CCD1D53487744436E2ED4563AC0063DC52AEEB57C5C7355D8AF36FB97D60670C001CA8DE7B4B7A8597FD7788429FAD046E560E2EE4583976825131A4F20FC2668CF170FBC4BD7A5F27DCAD465BED21577B42321DF3707B94505ED984F4CBD2167B8FD26615A9C831F4946103BB678D3C11E9E7CB3443FBB4774B77C29D19F2C28E054C0F5185F8B5D2E34C84BAAB556D9522013CC62EAB522FBFCC56D1776D00B3C405894506D5E231528F35DD061DAECCD42365504FDA3FDDC053DCFA0967C7FAE8BF740C2145D352E942BDCD4B0290E7DCF241F46A5EAB32DE0E594CDC64595C401D04AE5375570F0217EBCC92EA2F310FB0E7F717450FE60D1CEABBBF926E4ECB8BCA36EF0315B7E63FABB5EFC27241A2183C683EC85F24E25DB264898C4707C0CA0207E317E455F96653D85635FF0044B46FDBF22EDDA2B477DCDF0C6782A167FBBBEE76742D09537307FF00704F8F411425315E9DBA9B03508E0C7BEC08E9ACDEDE7F27A53A7B95864B3B5C350C0BDA3A8788A9B2E7D87DC1ADE047773B2332EF2961B348F32CA28194D5B6856B38943F131A6D56DDCDBCCA199F39D560640B85388DAB1D29FF00D98B2CCF223ED0FB2733114FB188FF00861C268DC36CA69B38A48D1E57A94E686AE2CE13F6874CFC69955BA2AC487398F8D42E6469EE0AB6C8F9788A6A03B92F86E342478681F112B99A9EC697E60CA092B9BCEBB4716DE7CC465952F92BFB881D87C99816A73D61A95D10F2DDC5C040FE1205BC086682EDBEA1DE1AC464DF69885EAD664AEECC84DF12D44ECAF2670365DAB336F2CBF7AB1711CC600474EE0C55CAF0DBBF79F97A32EDDA50DB132EF9A8885EE9B1EB98576B8E0DEA6012853087244289C087BADC76432CA3CD785C391286C5764D42D385EFE2728ACE52DA658BEDAB672A995C625B37052F16FB77F7296DEE5236841AD8A1BCC50B099195F76EE626D3F15AFB2774AC7F53E00E8F0CFF008A88D913E62ADCD19B6EF73FFFDA0008010203013F21BA7A954D22E81B3B44E0251647B25CBBC10830832FF8697D21157432931C4A85C10C4A82EDCA4949ECF5B794CB972E5F42812184A25CC608E9A528C2098AEA62B81351D04257F06464A448312FA198351D928B7D23812B13A719541901D19699924557B87A55CDA6428375D3B9A20A08BCB85F111C3A470CA98746DB9EA3E4439266E15AC222C11C46A5C6259829C323420E2E662FB414105847099FA089B5439195B500073D1C982E258303073217B8D7A703331D01708799C29B38A2BD3712CD4B6AED1BA632AF7027888D4C6860C5B72870EE5FEFA593208853A12DA96123C0D1983A4A567A545E8588ECF1A412B0B65F1674021CA213064E9066650762527B73D33CCA9A992609548334807BDBD0A6703A0227465664C4B61D090A631D7415CCCEC8AEC330E10E8C455E514E6082711DD4CD6DCB15081DA37CCCA72C7299A791B0741DB103A180A85BFC30AA5042A6A5AEA0DD41F184F33DFA190ED3E0604508B9198408E235C37D6C41D2BC7465107F33245D1AE8162E5CCADC2B88C2E3E3A7139868CF5BD04B4C4A74713FFFDA0008010303013F21330C746749A4B2190621E86361DA56CEDD291227F2063125BD7C13B8E773B28B6C37A80F6D3F84654495D4B0F31C7A4E09B4E86D03A4C62649B7F04F47A0E65963017A466632BC4B3A3D2292084284E3A5C5C56372E91A260045E96A358AE925171D1E83A3412ED851764BB1C5188154B8DF4C94083920DCE90EECD4F24AEF8E807A74743184AC866FAAD62951239438203B2ECD5F46A8F24A8987B18EA88512263CD12BCE61B8EF1B2F45BE917A3A5CC258410E445430A86EE21860287789571831B235D93CE634AC28A98CB57082CF08DB4DA5F4A9516550B151062631417318CB2C972A5998CC421842A1B506BF81C62CB5D00CA360D7430DF4D92EE8B8B08A9714CA672CA0D741E83D31CD136CAE8EA5CDC214B9B812C290C591584475389E8BE832E65447D0BFC187A1D0B021AB94974CA7B41C391D5E91E9BDC3A54E658EB4C64A98ABA123D1424C2B7D0D7F89A75BDE3A1E86E31E8753FFDA000C030100021103110000106B6EC1F670C15D5AD66D13796BCC2D474856F1E1ED85A4001C0209B01E5187C0B8EE03DE6B6B851F23F7D46B24788E229F77312BB314B56D01E61583BA0A633D46C787AB8C12431C1893A12D9C9558C349BDBFC2EFC4115318BF59ECB4D59E144B6D7C61BA5EECDC735CCC0690CB7EEE30DD484FFFDA0008010103013F10232655B84A57D9FA95856451C581A2B4470ED65E8AE258F7956163857B431AC0D0DB4A5D7B6A0D205755E294ECF31012C946C4EF2928BC0596A00F308F606240E5B12FD4AAF78562E8368346E255512605BD2CA78953156B6ABCE4C40E0B3C509FB842FF0009FECFFE70FF00653A083DE1EB5F015FB8B973CAABFAB625A6389EBFB8A33B9088D9CBD9847BA66A9C1378BA6152F886014F066216BEE4007938E7CFE234D70142C297C346732950930D5ADDB9EDEE33BE7DEF66F45BF70A85A19B76DCC201CB55E5B8850BCBB40A39EF5C4ADB53DCFA94C0B1ABCCD90B315603CA7E922F55070DBF94C28C03B57FA810C3B2ABFACABBAF6A6FC44C4C4DCC20343C65FD4C695680193E35121513876E38849AEE8555DC02EF8B658F6B079A5D2D1C5F1AC41F86134AC06D6D624D5DEFCCB2D1B569D87938085CF71837309E4E2345B1B878770F08770C368D232596974734C55FB8E2AC675745ED14607258FB26E970C6E22E213FA0522940C1598036A7B5465A0BF32996B8ED2B05973296914174436184B1DF3C6C363504DD0E0AF81E8868E316FA9597A866682A0DAD58F4D63FE48445A0B00642A831F1099334CBCCF021B8DB5B62E008D5C416BF447F2C42CBFB8C97590054105605518F643782F1347B26BB9A99F881F60694160BCC01762A289619A960FE7018C3000775865276ED83494D3B547735899537DC250A7B8A9A07450E5A86050D17944BB2422538880579B658D350784EC1AE93AA92945454826164705C8B6E5EEF84A00E6D5655E696C45B9B68E29BD67EA35D421B2C5A1783B5D4AB400E7615EB2854AA28B8914AE108CA0B4DC6FD007CB715122E03561BAE72C47321B74AE2B7DE52F796A2D7968172FB0D89B2E099A45198B06D46E592CC2036657503A0982E00077EF38901170C2EAB0165D2D44EC438EAC2C86CF25866AE1AC898151C40D36C2CE480ADF1720F725E2D89E9C26818AA8889BBEE7A48AAFC0CD10BA6CBD660E065C2C0302E19E751492E54C1686BA4379ABB8C85CA9A2321C1ACC482EA9CD35F91201A95E61E3CDA157E01604340B5E184534D315D127E4BBA8D3140DBDC1598ADEA862B0B7715A62E018F377F8250FAB83DD1FE4BB6E018E0131180E8BDE0931EE13DBEB509E01715A829444C419DAE4079B87A99B2960ED143C56A27A8417A6B11B2978458C2DA7DB1B57378B9A2609B08A850A65DE39825BA6AF69B1BB4D6A388CD09365EEAC4DEDB5B5E007980BEC5EE0AA4DD763C410D7DE14CADAD52B58899BBA80E1C16DF78B1FC5AC6EDEAEE0880D833495F64230D146D569547A8745546C0B4BB576AFC1B659F6BA55EC195F2CC3B12C761C096E37E58A6CC8A50BD8D66F9B8F5B81FB233EC8E44B2AD9B726A10775811B5DC286221A116D166F9CE63295804750205A2F7765F98D0764B6506C54BDE9AF11AE037D75CB60EC2788CD2F38AE4626C73894396E688B07B6312850EE2614E78881AC44A5C0BA80D66300A3B9AA6CD5E79AE312C8E8A256682D9963EE2D45DD9156DDE63FDDAB8784F5165D36101DD167F518E9C51A1CDD7678DF105D54CDB22605EAC7705990A5C00032AB18D1630E220AE11217E34D52DC863CD5C35129A1C0516CFC4C1122CC6B01B3E601C149FACCB0F77F44AD6A1D0D42866A659742F415FFD9571A050E0F1EE61B3B2A68F0063EE2CA8B85140B33E12A28A8159CAAA7E6513D2A62DBC34F7961B1E020D85F72E3B7E073A201DD5B69E225B4FA8886F98B551B36CB598394302B04D3629E7CC41140B1130339BA737BCFD441E4E8EB2A3B3CC1720238318AC5117DDEF36BF64D0745A5A5CC198940007C66E44A85733080445E2EA970395F8C410A3CE03E22373066BCC3A85D49E0DFEE24652E639BAEFE6E63A0AB96C3B1F693F631010301519B2A7744695421E6EF4A3743B1716C2EF6FBE6E542C11915B54D61D92B4AE16885202D4897B210EF3360D622807CC46F5D503C41C5396EF6D7FB09A16E6B8B8C285695E6984977E731237F8492881DC29AE0325099E0708E2062F1F1885AFC2370D4214DB91ED005055B6CC9746E2190060F7FE400D895EED00E74C2E31815AAE75E6134B71B904DB2FF4D14540301F8A6088D6E1B6108681406DCC003E26AD144171466C138AAC1C778640007530037F19CC550101F41F8897D700AA61A0E0F786A83B03495FF9101A85F18945FAA65099B36F3B9BFC51AB0B2936E48D19CBED485564812551651585DDC166D4EB901D39E6620A01A3B4598529052E96AEB3515AD61C1AB310C3E6D5BCAD4A9B5835B7059D638B9BE730C995375A0E6665C0D5022EB26CCEE234A5712AE19B28546F350B2F86C814EC1550F29D128521D8DAA2CE60D8EEB572D88545696301B5CDCB5A1972D96D5EF0B474EA10AFBD994B53250CEC0C1E66CC8522CC1E34AC26988A509DA92B73C92712B0050B5FB804014F0A695F52DA83251B2850F82316DAD862F9080ED0DC46E02A3C68FEE54DDB25EF2DC514282DB57C455286D828B9171DFC422E02DD2E11ED4AAD8928010100F56FE58B2B47329755A97106AA2DC01BD298665ABD6EEE977395B8150CA2A328DDCA07BCA28504D59EF70755997FA45B2B0316D5CB3E9A2B52D06F1A81E9C90D0DCC5FB8DD69104F1429F0A830C12D2991BA2AE97352F0F5F2C85A37AC91110EF8815C91CCFF00938730077BDD31471BF11360A36BDF2CDE8B235A5C337327072CBAC69098C9D9FB4F6267FB9C6A9DD7996B5C8BCC20B3A85DB589F7737D9CDE6E181DFE669AEF3228947A182DDAEEB7F99AE2187EA0AE53CDC39CC0E1DB19420268DD5819CBA0C47E31ABDCDDD6773FFFDA0008010203013F107025CAF9E831B26660DCD04B79194AE8838F08725B9E84FEADE82AE8298211647A5157CBC4A0A7BCA2549860E830732C9A4168FC4C61CEE3EA2E65F843A0311D1E63EED3F1D2CF32AD403887843A654958B62E60699766604AD1E89A627FB94486618EF896CCC7ABC061A8E998231E56E28FA2910C4F450C5B34B2E5C0B94C342537003CDCA46A22CB515CB95946F6CF9D7FB00231A18495B20B88CD4E1CD31000598C89B6BF313969F27447C200743EBE6221773BC10B59E6880C388CADB995550DBA8DA255B061A84514F7080EEFF3FF0090D46F711CC4517351C6E622A6054A30B2A6D46F073155E9BF09DA1016DF27E2102F7CE63C3747264C98CDF10860C8E6200330844DC4EDE60A8C8F332EE4E212FA864196FF007104719F20AFD93C08B344CDA8A5A235D20D04371E1BA508517B8624708D018BA990A7311418132442F188C2B9970ECD799E48A112E558414663A8E6733C23F9258A30455BDA1578ACDEB4A90029132DA3ADDE04B13640C15328772C622585351DBDE5F78E660C6D9F339663BCA5BB83C4067673C4A67B88C4332819584D903538656ADD5F8829999053608B25EE18688611C19ADB05A9B8637193D589699973F715437570A0F678B7A38E5A71D020698D3C9081BCACC626673F110E84CC465B4AF99A8DBA5B36265135E594EF08D7CBED8046F98D4AC281E841A220E3A343314CD033D24371DB43EF310B9422E58ED23DC96526F72C54621A171CDF11B515A388AF06A3CD4770353BEF0969F84B063EFF0072E953305A35006D48F6FDC31BD54CF058D811B2EA2A3DC8F56AE69F625D6EF04CE8CCA9B605D9043B26582996AC4BB57301B5C131DDA5B1C2059DB2BA610F984A19E088B22B4ECA94B38BFEE518DACCBE550EEE0372CEDC2601C66538970C0419B805437116014F3162575EDCBD2C252E20DDB1D4E180CD71010C66BB11D5D5FE25D03DFB4B9F38BFA1FF007697B5C6ECE8B333306251FDE51789E11B3296ADAF267FF252BA6937968AB9D460D895A540DEF35A9FFFDA0008010303013F10194C4843D57920E04529332DEE398658212E6572D3E88DE547D35051529EA1C465CB972928C73E26192C32F64019972D587E626DC436553BE6EE3C88DF198409CDBF72D6FB40556013E77F91973066240471EAAA30B7546D2A43C4DE06E32E744AF327E8942F32A2C758CD4EDFD92BCED47B0C07C55359B47F8C95168192E6173BD29A435EB8DB5A970A8AE7940FEC86EFAFEA38B77150EE2695E221A566A2B882D1BC2151C5B0E06496C7705DB7B39FD4AF4ADC3B8A383102C6020216AE30223732B0324F101295EC9FB2286B5445B19F6D5FF92968BB9926206696B978805A775FB8255F8E48D9550030DBD5673F72845C21E58B9A662A0561AD6E5AE28DDC5A9F0B9FACCA762E86185BA182F1032D2A303B4D2EB372F4D6A763D2C26C54F171504B1841180A3D5BD0F10D5CCE16D59FDC1761098DA07341954C33318B44332101462BF3E25518214CA03E7731232ED9B596324A64B28E5D2686151DF049BEF7342E2345EDF730022FEC13203DFDCB196F733BB4972B82FCE63744A550B9AFA4452292164D3A2848428DCC63B73F79861DD94DA62C4B3468C4379B98F29DF88CDB64A550068C45B6E61867771815DE2502D832C8BED18660A23943A0ED3C7D057E884A83EE11D46FB7A9B968B0942B994A4BA7A705CBB102661F2971DA6B32B3D2FF00F3FA8EC4A96C31CC771CB504B428195631AC72420E2F6532D3343DFA3695331F089CA8812B301BA15DE172694D78F894F89C0EE0C5C11AE82329C4D2FA066157998E20B6603AE92A1F2110275712560EC20BDAD8FD91CDBCD7F52D0788F89862504C293265D1350D4D6274062F6991230BB988C64303DA029951DC5AD4261C0E3BC319E2142F732AA536D4AEB0BAE8EA704D1D312FC9AF1039B669D2F496E2796E6798B1A95DA177E27FFFD900'); +INSERT INTO Categories VALUES(null,'Grains/Cereals','Breads, crackers, pasta, and cereal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ategories VALUES(null,'Meat/Poultry','Prepared meats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ategories VALUES(null,'Produce','Dried fruit and bean curd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ategories VALUES(null,'Seafood','Seaweed and fish',X'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'); +-- +SELECT * FROM [Categories]; +-- CustomerCustomerDemo +DROP TABLE IF EXISTS [CustomerCustomerDemo]; +CREATE TABLE [CustomerCustomerDemo]( + [CustomerID]TEXT NOT NULL, + [CustomerTypeID]TEXT NOT NULL, + PRIMARY KEY ("CustomerID","CustomerTypeID"), + FOREIGN KEY ([CustomerID]) REFERENCES [Customers] ([CustomerID]) + ON DELETE NO ACTION ON UPDATE NO ACTION, + FOREIGN KEY ([CustomerTypeID]) REFERENCES [CustomerDemographics] ([CustomerTypeID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); +SELECT * FROM [CustomerCustomerDemo]; +-- CustomerDemographics +DROP TABLE IF EXISTS [CustomerDemographics]; +CREATE TABLE [CustomerDemographics]( + [CustomerTypeID]TEXT NOT NULL, + [CustomerDesc]TEXT, + PRIMARY KEY ("CustomerTypeID") +); +SELECT * FROM [CustomerCustomerDemo]; +-- Customers +DROP TABLE IF EXISTS [Customers]; +CREATE TABLE [Customers] +( [CustomerID] TEXT, + [CompanyName] TEXT, + [ContactName] TEXT, + [ContactTitle] TEXT, + [Address] TEXT, + [City] TEXT, + [Region] TEXT, + [PostalCode] TEXT, + [Country] TEXT, + [Phone] TEXT, + [Fax] TEXT, + PRIMARY KEY (`CustomerID`) +); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('ALFKI', 'Alfreds Futterkiste', 'Maria Anders', 'Sales Representative', 'Obere Str. 57', 'Berlin', NULL, '12209', 'Germany', '030-0074321', '030-0076545'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('ANATR', 'Ana Trujillo Emparedados y helados', 'Ana Trujillo', 'Owner', 'Avda. de la Constituci�n 2222', 'M�xico D.F.', NULL, '05021', 'Mexico', '(5) 555-4729', '(5) 555-3745'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('ANTON', 'Antonio Moreno Taquer�a', 'Antonio Moreno', 'Owner', 'Mataderos 2312', 'M�xico D.F.', NULL, '05023', 'Mexico', '(5) 555-3932', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('AROUT', 'Around the Horn', 'Thomas Hardy', 'Sales Representative', '120 Hanover Sq.', 'London', NULL, 'WA1 1DP', 'UK', '(171) 555-7788', '(171) 555-6750'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BERGS', 'Berglunds snabbk�p', 'Christina Berglund', 'Order Administrator', 'Berguvsv�gen 8', 'Lule�', NULL, 'S-958 22', 'Sweden', '0921-12 34 65', '0921-12 34 67'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BLAUS', 'Blauer See Delikatessen', 'Hanna Moos', 'Sales Representative', 'Forsterstr. 57', 'Mannheim', NULL, '68306', 'Germany', '0621-08460', '0621-08924'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BLONP', 'Blondesddsl p�re et fils', 'Fr�d�rique Citeaux', 'Marketing Manager', '24, place Kl�ber', 'Strasbourg', NULL, '67000', 'France', '88.60.15.31', '88.60.15.32'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BOLID', 'B�lido Comidas preparadas', 'Mart�n Sommer', 'Owner', 'C/ Araquil, 67', 'Madrid', NULL, '28023', 'Spain', '(91) 555 22 82', '(91) 555 91 99'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BONAP', 'Bon app''', 'Laurence Lebihan', 'Owner', '12, rue des Bouchers', 'Marseille', NULL, '13008', 'France', '91.24.45.40', '91.24.45.41'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BOTTM', 'Bottom-Dollar Markets', 'Elizabeth Lincoln', 'Accounting Manager', '23 Tsawassen Blvd.', 'Tsawassen', 'BC', 'T2F 8M4', 'Canada', '(604) 555-4729', '(604) 555-3745'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('BSBEV', 'B''s Beverages', 'Victoria Ashworth', 'Sales Representative', 'Fauntleroy Circus', 'London', NULL, 'EC2 5NT', 'UK', '(171) 555-1212', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('CACTU', 'Cactus Comidas para llevar', 'Patricio Simpson', 'Sales Agent', 'Cerrito 333', 'Buenos Aires', NULL, '1010', 'Argentina', '(1) 135-5555', '(1) 135-4892'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('CENTC', 'Centro comercial Moctezuma', 'Francisco Chang', 'Marketing Manager', 'Sierras de Granada 9993', 'M�xico D.F.', NULL, '05022', 'Mexico', '(5) 555-3392', '(5) 555-7293'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('CHOPS', 'Chop-suey Chinese', 'Yang Wang', 'Owner', 'Hauptstr. 29', 'Bern', NULL, '3012', 'Switzerland', '0452-076545', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('COMMI', 'Com�rcio Mineiro', 'Pedro Afonso', 'Sales Associate', 'Av. dos Lus�adas, 23', 'Sao Paulo', 'SP', '05432-043', 'Brazil', '(11) 555-7647', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('CONSH', 'Consolidated Holdings', 'Elizabeth Brown', 'Sales Representative', 'Berkeley Gardens 12 Brewery', 'London', NULL, 'WX1 6LT', 'UK', '(171) 555-2282', '(171) 555-9199'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('DRACD', 'Drachenblut Delikatessen', 'Sven Ottlieb', 'Order Administrator', 'Walserweg 21', 'Aachen', NULL, '52066', 'Germany', '0241-039123', '0241-059428'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('DUMON', 'Du monde entier', 'Janine Labrune', 'Owner', '67, rue des Cinquante Otages', 'Nantes', NULL, '44000', 'France', '40.67.88.88', '40.67.89.89'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('EASTC', 'Eastern Connection', 'Ann Devon', 'Sales Agent', '35 King George', 'London', NULL, 'WX3 6FW', 'UK', '(171) 555-0297', '(171) 555-3373'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('ERNSH', 'Ernst Handel', 'Roland Mendel', 'Sales Manager', 'Kirchgasse 6', 'Graz', NULL, '8010', 'Austria', '7675-3425', '7675-3426'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FAMIA', 'Familia Arquibaldo', 'Aria Cruz', 'Marketing Assistant', 'Rua Or�s, 92', 'Sao Paulo', 'SP', '05442-030', 'Brazil', '(11) 555-9857', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FISSA', 'FISSA Fabrica Inter. Salchichas S.A.', 'Diego Roel', 'Accounting Manager', 'C/ Moralzarzal, 86', 'Madrid', NULL, '28034', 'Spain', '(91) 555 94 44', '(91) 555 55 93'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FOLIG', 'Folies gourmandes', 'Martine Ranc�', 'Assistant Sales Agent', '184, chauss�e de Tournai', 'Lille', NULL, '59000', 'France', '20.16.10.16', '20.16.10.17'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FOLKO', 'Folk och f� HB', 'Maria Larsson', 'Owner', '�kergatan 24', 'Br�cke', NULL, 'S-844 67', 'Sweden', '0695-34 67 21', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FRANK', 'Frankenversand', 'Peter Franken', 'Marketing Manager', 'Berliner Platz 43', 'M�nchen', NULL, '80805', 'Germany', '089-0877310', '089-0877451'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FRANR', 'France restauration', 'Carine Schmitt', 'Marketing Manager', '54, rue Royale', 'Nantes', NULL, '44000', 'France', '40.32.21.21', '40.32.21.20'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FRANS', 'Franchi S.p.A.', 'Paolo Accorti', 'Sales Representative', 'Via Monte Bianco 34', 'Torino', NULL, '10100', 'Italy', '011-4988260', '011-4988261'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('FURIB', 'Furia Bacalhau e Frutos do Mar', 'Lino Rodriguez', 'Sales Manager', 'Jardim das rosas n. 32', 'Lisboa', NULL, '1675', 'Portugal', '(1) 354-2534', '(1) 354-2535'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('GALED', 'Galer�a del gastr�nomo', 'Eduardo Saavedra', 'Marketing Manager', 'Rambla de Catalu�a, 23', 'Barcelona', NULL, '08022', 'Spain', '(93) 203 4560', '(93) 203 4561'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('GODOS', 'Godos Cocina T�pica', 'Jos� Pedro Freyre', 'Sales Manager', 'C/ Romero, 33', 'Sevilla', NULL, '41101', 'Spain', '(95) 555 82 82', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('GOURL', 'Gourmet Lanchonetes', 'Andr� Fonseca', 'Sales Associate', 'Av. Brasil, 442', 'Campinas', 'SP', '04876-786', 'Brazil', '(11) 555-9482', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('GREAL', 'Great Lakes Food Market', 'Howard Snyder', 'Marketing Manager', '2732 Baker Blvd.', 'Eugene', 'OR', '97403', 'USA', '(503) 555-7555', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('GROSR', 'GROSELLA-Restaurante', 'Manuel Pereira', 'Owner', '5� Ave. Los Palos Grandes', 'Caracas', 'DF', '1081', 'Venezuela', '(2) 283-2951', '(2) 283-3397'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('HANAR', 'Hanari Carnes', 'Mario Pontes', 'Accounting Manager', 'Rua do Pa�o, 67', 'Rio de Janeiro', 'RJ', '05454-876', 'Brazil', '(21) 555-0091', '(21) 555-8765'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('HILAA', 'HILARION-Abastos', 'Carlos Hern�ndez', 'Sales Representative', 'Carrera 22 con Ave. Carlos Soublette #8-35', 'San Crist�bal', 'T�chira', '5022', 'Venezuela', '(5) 555-1340', '(5) 555-1948'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('HUNGC', 'Hungry Coyote Import Store', 'Yoshi Latimer', 'Sales Representative', 'City Center Plaza 516 Main St.', 'Elgin', 'OR', '97827', 'USA', '(503) 555-6874', '(503) 555-2376'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('HUNGO', 'Hungry Owl All-Night Grocers', 'Patricia McKenna', 'Sales Associate', '8 Johnstown Road', 'Cork', 'Co. Cork', NULL, 'Ireland', '2967 542', '2967 3333'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('ISLAT', 'Island Trading', 'Helen Bennett', 'Marketing Manager', 'Garden House Crowther Way', 'Cowes', 'Isle of Wight', 'PO31 7PJ', 'UK', '(198) 555-8888', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('KOENE', 'K�niglich Essen', 'Philip Cramer', 'Sales Associate', 'Maubelstr. 90', 'Brandenburg', NULL, '14776', 'Germany', '0555-09876', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LACOR', 'La corne d''abondance', 'Daniel Tonini', 'Sales Representative', '67, avenue de l''Europe', 'Versailles', NULL, '78000', 'France', '30.59.84.10', '30.59.85.11'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LAMAI', 'La maison d''Asie', 'Annette Roulet', 'Sales Manager', '1 rue Alsace-Lorraine', 'Toulouse', NULL, '31000', 'France', '61.77.61.10', '61.77.61.11'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LAUGB', 'Laughing Bacchus Wine Cellars', 'Yoshi Tannamuri', 'Marketing Assistant', '1900 Oak St.', 'Vancouver', 'BC', 'V3F 2K1', 'Canada', '(604) 555-3392', '(604) 555-7293'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LAZYK', 'Lazy K Kountry Store', 'John Steel', 'Marketing Manager', '12 Orchestra Terrace', 'Walla Walla', 'WA', '99362', 'USA', '(509) 555-7969', '(509) 555-6221'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LEHMS', 'Lehmanns Marktstand', 'Renate Messner', 'Sales Representative', 'Magazinweg 7', 'Frankfurt a.M.', NULL, '60528', 'Germany', '069-0245984', '069-0245874'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LETSS', 'Let''s Stop N Shop', 'Jaime Yorres', 'Owner', '87 Polk St. Suite 5', 'San Francisco', 'CA', '94117', 'USA', '(415) 555-5938', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LILAS', 'LILA-Supermercado', 'Carlos Gonz�lez', 'Accounting Manager', 'Carrera 52 con Ave. Bol�var #65-98 Llano Largo', 'Barquisimeto', 'Lara', '3508', 'Venezuela', '(9) 331-6954', '(9) 331-7256'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LINOD', 'LINO-Delicateses', 'Felipe Izquierdo', 'Owner', 'Ave. 5 de Mayo Porlamar', 'I. de Margarita', 'Nueva Esparta', '4980', 'Venezuela', '(8) 34-56-12', '(8) 34-93-93'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('LONEP', 'Lonesome Pine Restaurant', 'Fran Wilson', 'Sales Manager', '89 Chiaroscuro Rd.', 'Portland', 'OR', '97219', 'USA', '(503) 555-9573', '(503) 555-9646'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('MAGAA', 'Magazzini Alimentari Riuniti', 'Giovanni Rovelli', 'Marketing Manager', 'Via Ludovico il Moro 22', 'Bergamo', NULL, '24100', 'Italy', '035-640230', '035-640231'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('MAISD', 'Maison Dewey', 'Catherine Dewey', 'Sales Agent', 'Rue Joseph-Bens 532', 'Bruxelles', NULL, 'B-1180', 'Belgium', '(02) 201 24 67', '(02) 201 24 68'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('MEREP', 'M�re Paillarde', 'Jean Fresni�re', 'Marketing Assistant', '43 rue St. Laurent', 'Montr�al', 'Qu�bec', 'H1J 1C3', 'Canada', '(514) 555-8054', '(514) 555-8055'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('MORGK', 'Morgenstern Gesundkost', 'Alexander Feuer', 'Marketing Assistant', 'Heerstr. 22', 'Leipzig', NULL, '04179', 'Germany', '0342-023176', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('NORTS', 'North/South', 'Simon Crowther', 'Sales Associate', 'South House 300 Queensbridge', 'London', NULL, 'SW7 1RZ', 'UK', '(171) 555-7733', '(171) 555-2530'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('OCEAN', 'Oc�ano Atl�ntico Ltda.', 'Yvonne Moncada', 'Sales Agent', 'Ing. Gustavo Moncada 8585 Piso 20-A', 'Buenos Aires', NULL, '1010', 'Argentina', '(1) 135-5333', '(1) 135-5535'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('OLDWO', 'Old World Delicatessen', 'Rene Phillips', 'Sales Representative', '2743 Bering St.', 'Anchorage', 'AK', '99508', 'USA', '(907) 555-7584', '(907) 555-2880'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('OTTIK', 'Ottilies K�seladen', 'Henriette Pfalzheim', 'Owner', 'Mehrheimerstr. 369', 'K�ln', NULL, '50739', 'Germany', '0221-0644327', '0221-0765721'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('PARIS', 'Paris sp�cialit�s', 'Marie Bertrand', 'Owner', '265, boulevard Charonne', 'Paris', NULL, '75012', 'France', '(1) 42.34.22.66', '(1) 42.34.22.77'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('PERIC', 'Pericles Comidas cl�sicas', 'Guillermo Fern�ndez', 'Sales Representative', 'Calle Dr. Jorge Cash 321', 'M�xico D.F.', NULL, '05033', 'Mexico', '(5) 552-3745', '(5) 545-3745'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('PICCO', 'Piccolo und mehr', 'Georg Pipps', 'Sales Manager', 'Geislweg 14', 'Salzburg', NULL, '5020', 'Austria', '6562-9722', '6562-9723'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('PRINI', 'Princesa Isabel Vinhos', 'Isabel de Castro', 'Sales Representative', 'Estrada da sa�de n. 58', 'Lisboa', NULL, '1756', 'Portugal', '(1) 356-5634', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('QUEDE', 'Que Del�cia', 'Bernardo Batista', 'Accounting Manager', 'Rua da Panificadora, 12', 'Rio de Janeiro', 'RJ', '02389-673', 'Brazil', '(21) 555-4252', '(21) 555-4545'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('QUEEN', 'Queen Cozinha', 'L�cia Carvalho', 'Marketing Assistant', 'Alameda dos Can�rios, 891', 'Sao Paulo', 'SP', '05487-020', 'Brazil', '(11) 555-1189', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('QUICK', 'QUICK-Stop', 'Horst Kloss', 'Accounting Manager', 'Taucherstra�e 10', 'Cunewalde', NULL, '01307', 'Germany', '0372-035188', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('RANCH', 'Rancho grande', 'Sergio Guti�rrez', 'Sales Representative', 'Av. del Libertador 900', 'Buenos Aires', NULL, '1010', 'Argentina', '(1) 123-5555', '(1) 123-5556'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('RATTC', 'Rattlesnake Canyon Grocery', 'Paula Wilson', 'Assistant Sales Representative', '2817 Milton Dr.', 'Albuquerque', 'NM', '87110', 'USA', '(505) 555-5939', '(505) 555-3620'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('REGGC', 'Reggiani Caseifici', 'Maurizio Moroni', 'Sales Associate', 'Strada Provinciale 124', 'Reggio Emilia', NULL, '42100', 'Italy', '0522-556721', '0522-556722'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('RICAR', 'Ricardo Adocicados', 'Janete Limeira', 'Assistant Sales Agent', 'Av. Copacabana, 267', 'Rio de Janeiro', 'RJ', '02389-890', 'Brazil', '(21) 555-3412', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('RICSU', 'Richter Supermarkt', 'Michael Holz', 'Sales Manager', 'Grenzacherweg 237', 'Gen�ve', NULL, '1203', 'Switzerland', '0897-034214', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('ROMEY', 'Romero y tomillo', 'Alejandra Camino', 'Accounting Manager', 'Gran V�a, 1', 'Madrid', NULL, '28001', 'Spain', '(91) 745 6200', '(91) 745 6210'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SANTG', 'Sant� Gourmet', 'Jonas Bergulfsen', 'Owner', 'Erling Skakkes gate 78', 'Stavern', NULL, '4110', 'Norway', '07-98 92 35', '07-98 92 47'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SAVEA', 'Save-a-lot Markets', 'Jose Pavarotti', 'Sales Representative', '187 Suffolk Ln.', 'Boise', 'ID', '83720', 'USA', '(208) 555-8097', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SEVES', 'Seven Seas Imports', 'Hari Kumar', 'Sales Manager', '90 Wadhurst Rd.', 'London', NULL, 'OX15 4NB', 'UK', '(171) 555-1717', '(171) 555-5646'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SIMOB', 'Simons bistro', 'Jytte Petersen', 'Owner', 'Vinb�ltet 34', 'Kobenhavn', NULL, '1734', 'Denmark', '31 12 34 56', '31 13 35 57'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SPECD', 'Sp�cialit�s du monde', 'Dominique Perrier', 'Marketing Manager', '25, rue Lauriston', 'Paris', NULL, '75016', 'France', '(1) 47.55.60.10', '(1) 47.55.60.20'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SPLIR', 'Split Rail Beer & Ale', 'Art Braunschweiger', 'Sales Manager', 'P.O. Box 555', 'Lander', 'WY', '82520', 'USA', '(307) 555-4680', '(307) 555-6525'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('SUPRD', 'Supr�mes d�lices', 'Pascale Cartrain', 'Accounting Manager', 'Boulevard Tirou, 255', 'Charleroi', NULL, 'B-6000', 'Belgium', '(071) 23 67 22 20', '(071) 23 67 22 21'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('THEBI', 'The Big Cheese', 'Liz Nixon', 'Marketing Manager', '89 Jefferson Way Suite 2', 'Portland', 'OR', '97201', 'USA', '(503) 555-3612', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('THECR', 'The Cracker Box', 'Liu Wong', 'Marketing Assistant', '55 Grizzly Peak Rd.', 'Butte', 'MT', '59801', 'USA', '(406) 555-5834', '(406) 555-8083'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('TOMSP', 'Toms Spezialit�ten', 'Karin Josephs', 'Marketing Manager', 'Luisenstr. 48', 'M�nster', NULL, '44087', 'Germany', '0251-031259', '0251-035695'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('TORTU', 'Tortuga Restaurante', 'Miguel Angel Paolino', 'Owner', 'Avda. Azteca 123', 'M�xico D.F.', NULL, '05033', 'Mexico', '(5) 555-2933', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('TRADH', 'Tradi��o Hipermercados', 'Anabela Domingues', 'Sales Representative', 'Av. In�s de Castro, 414', 'Sao Paulo', 'SP', '05634-030', 'Brazil', '(11) 555-2167', '(11) 555-2168'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('TRAIH', 'Trail''s Head Gourmet Provisioners', 'Helvetius Nagy', 'Sales Associate', '722 DaVinci Blvd.', 'Kirkland', 'WA', '98034', 'USA', '(206) 555-8257', '(206) 555-2174'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('VAFFE', 'Vaffeljernet', 'Palle Ibsen', 'Sales Manager', 'Smagsloget 45', '�rhus', NULL, '8200', 'Denmark', '86 21 32 43', '86 22 33 44'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('Val2 ', 'IT', 'Val2', 'IT', NULL, NULL, NULL, NULL, NULL, NULL, NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('VALON', 'IT', 'Valon Hoti', 'IT', NULL, NULL, NULL, NULL, NULL, NULL, NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('VICTE', 'Victuailles en stock', 'Mary Saveley', 'Sales Agent', '2, rue du Commerce', 'Lyon', NULL, '69004', 'France', '78.32.54.86', '78.32.54.87'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('VINET', 'Vins et alcools Chevalier', 'Paul Henriot', 'Accounting Manager', '59 rue de l''Abbaye', 'Reims', NULL, '51100', 'France', '26.47.15.10', '26.47.15.11'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('WANDK', 'Die Wandernde Kuh', 'Rita M�ller', 'Sales Representative', 'Adenauerallee 900', 'Stuttgart', NULL, '70563', 'Germany', '0711-020361', '0711-035428'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('WARTH', 'Wartian Herkku', 'Pirkko Koskitalo', 'Accounting Manager', 'Torikatu 38', 'Oulu', NULL, '90110', 'Finland', '981-443655', '981-443655'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('WELLI', 'Wellington Importadora', 'Paula Parente', 'Sales Manager', 'Rua do Mercado, 12', 'Resende', 'SP', '08737-363', 'Brazil', '(14) 555-8122', NULL); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('WHITC', 'White Clover Markets', 'Karl Jablonski', 'Owner', '305 - 14th Ave. S. Suite 3B', 'Seattle', 'WA', '98128', 'USA', '(206) 555-4112', '(206) 555-4115'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('WILMK', 'Wilman Kala', 'Matti Karttunen', 'Owner/Marketing Assistant', 'Keskuskatu 45', 'Helsinki', NULL, '21240', 'Finland', '90-224 8858', '90-224 8858'); +INSERT INTO Customers (CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax) +VALUES('WOLZA', 'Wolski Zajazd', 'Zbyszek Piestrzeniewicz', 'Owner', 'ul. Filtrowa 68', 'Warszawa', NULL, '01-012', 'Poland', '(26) 642-7012', '(26) 642-7012'); +SELECT * FROM [Customers]; +-- Employee +DROP TABLE IF EXISTS [Employees]; +-- +CREATE TABLE [Employees] +( [EmployeeID] INTEGER PRIMARY KEY AUTOINCREMENT, + [LastName] TEXT, + [FirstName] TEXT, + [Title] TEXT, + [TitleOfCourtesy] TEXT, + [BirthDate] DATE, + [HireDate] DATE, + [Address] TEXT, + [City] TEXT, + [Region] TEXT, + [PostalCode] TEXT, + [Country] TEXT, + [HomePhone] TEXT, + [Extension] TEXT, + [Photo] BLOB, + [Notes] TEXT, + [ReportsTo] INTEGER, + [PhotoPath] TEXT, + FOREIGN KEY ([EmployeeID]) REFERENCES [Employees] ([EmployeeID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); +-- +INSERT INTO Employees VALUES(null,'Davolio','Nancy','Sales Representative','Ms.','1948-12-08','1992-05-01','507 - 20th Ave. E.Apt. 2A','Seattle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ducation includes a BA in psychology from Colorado State University in 1970. She also completed "The Art of the Cold Call." Nancy is a member of Toastmasters International.',2 +,'http://accweb/emmployees/davolio.bmp'); +INSERT INTO Employees VALUES(null,'Fuller','Andrew','Vice President, Sales','Dr.','1952-02-19','1992-08-14','908 W. Capital Way','Tacoma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ndrew received his BTS commercial in 1974 and a Ph.D. in international marketing from the University of Dallas in 1981. He is fluent in French and Italian and reads German. He joined the company as a sales representative, was promoted to sales manager in January 1992 and to vice president of sales in March 1993. Andrew is a member of the Sales Management Roundtable, the Seattle Chamber of Commerce, and the Pacific Rim Importers Association.',NULL +,'http://accweb/emmployees/fuller.bmp'); +INSERT INTO Employees VALUES(null,'Leverling','Janet','Sales Representative','Ms.','1963-08-30','1992-04-01','722 Moss Bay Blvd.','Kirkland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anet has a BS degree in chemistry from Boston College (1984). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate in 1991 and promoted to sales representative in February 1992.',2 +,'http://accweb/emmployees/leverling.bmp'); +INSERT INTO Employees VALUES(null,'Peacock','Margaret','Sales Representative','Mrs.','1937-09-19','1993-05-03','4110 Old Redmond Rd.','Redmond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argaret holds a BA in English literature from Concordia College (1958) and an MA from the American Institute of Culinary Arts (1966). She was assigned to the London office temporarily from July through November 1992.',2 +,'http://accweb/emmployees/peacock.bmp'); +INSERT INTO Employees VALUES(null,'Buchanan','Steven','Sales Manager','Mr.','1955-03-04','1993-10-17','14 Garrett Hill','London',NULL,'SW1 8JR','UK','(71) 555-4848','3453',X'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','Steven Buchanan graduated from St. Andrews University, Scotland, with a BSC degree in 1976. Upon joining the company as a sales representative in 1992, he spent 6 months in an orientation program at the Seattle office and then returned to his permanent post in London. He was promoted to sales manager in March 1993. Mr. Buchanan has completed the courses "Successful Telemarketing" and "International Sales Management." He is fluent in French.',2 +,'http://accweb/emmployees/buchanan.bmp'); +INSERT INTO Employees VALUES(null,'Suyama','Michael','Sales Representative','Mr.','1963-07-02','1993-10-17','Coventry House +Miner Rd.','London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ichael is a graduate of Sussex University (MA, economics, 1983) and the University of California at Los Angeles (MBA, marketing, 1986). He has also taken the courses "Multi-Cultural Selling" and "Time Management for the Sales Professional." He is fluent in Japanese and can read and write French, Portuguese, and Spanish.',5 +,'http://accweb/emmployees/davolio.bmp'); +INSERT INTO Employees VALUES(null,'King','Robert','Sales Representative','Mr.','1960-05-29','1994-01-02','Edgeham Hollow +Winchester Way','London',NULL,'RG1 9SP','UK','(71) 555-5598','465',X'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','Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan in 1992, the year he joined the company. After completing a course entitled "Selling in Europe," he was transferred to the London office in March 1993.',5 +,'http://accweb/emmployees/davolio.bmp'); +INSERT INTO Employees VALUES(null,'Callahan','Laura','Inside Sales Coordinator','Ms.','1958-01-09','1994-03-05','4726 - 11th Ave. N.E.','Seattle','WA','98105','USA','(206) 555-1189','2344',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B79000100040000004B0000FFEE002641646F62650064C0000000010300150403060A0D00000DFB0000139900001E3F00002EAAFFDB00840003020202020203020203050303030505040303040506050505050506080607070707060808090A0A0A09080C0C0C0C0C0C0E0E0E0E0E10101010101010101010010304040606060C08080C120E0C0E1214101010101411101010101011111010101010101110101010101010101010101010101010101010101010101010101010FFC200110800AA00A003011100021101031101FFC400D500000202030101000000000000000000000506040701020308000100020301010000000000000000000000030401020500061000010401040103030402030000000000010002030411102112053120130630223241231415243433253511000102050106050206010501000000000100021121311203411020512213046171813242A11491B1C15272230530823343731512000103050101000000000000000000002140011100103050602061130100020201040105010101010100000001001121314110516171812091A1B1C1F0D1E130F1FFDA000C03010002110311000001F41675ABD5DBDBA0D941646807799D622BAC5D3F3E2EEAC3AB75E996B9D65F4E196904EB9258ED198F90E1779AE84A7A4D9496827DA78D5C1613C0CF4A179DD7A306EA4EAA52E384DE1FF0B62B7DFC610D031D1CAF422AB58B54A2873A0B5EAD6774A9333C4481B21C5C2E3BD5461EE573AC0BCE8214B36B9430558F5DEE67AD3E972B8C43896F5820BB50CC069CBD1F469B3BB50BF5A1B9959B981AFE3BF5AAEEBDB2B4E0DE108C0976D0157D52DD5F6EE5ED1554D9C59013E2470185B3D6F676631A049F5B9C185CE06C47457AE7075DCDB522AC784330551C5C55D585CA85A5400E249DB986733B4D6B5B1B9CD33D1EC5C77BAC76679B9A5D82D4119AE4C685F00DC4771AB32195716D66A252F4E6B88534A037F37A56E19DCDE95BF3B53D718CE4AB462DD3980358E7415C9311B2E48802C2118022FAC05C082BA66805799003D0CEE56AAFE964B2E5E9AAEB64FAEB034E65BBA4F73A716B46C12D79CDDDA544128E5445273AD8880FDD13A598A29859535F2648AEBDA090F613E571FAD3CF6A4DBF74E9076192A5A296A34A56354AA39BAEACC88AD8524058212803DF151A9EA20E992C53FEBFCCCA09A0B0A7AE7375E4DBB798974E0C715888C8B474081434F65ED47606EDA19FE74713DD4759107D51D045301A73AF55FAAF32C19BAB0D805CA2DAED3DDFBBA4C34541710B3740D9133B5D354D063BABF12AA54647C7740DABBD11C03AF89081D0425059D2F7651EAE6637EEEBDCFA25AF4A667D58A932F747D6D63B281A2AC29769317794A6D5A6C2510A09C0BF0256508C3DA50DF6C739AEBDD9EE9315BE320448EAD1D47A508B6372AF074D3D3D34E83A9984A5A696DC028B97A8D9D2D502FE31BEF47CED53901B4049E8AB4D30BB5359F5227A415768B0E4D906A837138F402D2C2DA5E50A98982AB68ABEAE1916F349E7FB229517A843871446ACD3DB8136777F3C656890B36BE510B209A5171598A8C308536AC632859785DD04A6D69EA1656A132BDC92A8FD30A64A3A7A95399B9778B96D9A36C7AE84D82B88BAB0E808ABDB906D2C25C4795C130568475C4388B22D730AFB1E734BD94CFCA0E243313F6F12CFF3DA41E0A863602DEB0EDDDA2EA6EAE15C462997E56E9412453806B59B3EB470CDF6FCBAAE001DDC9282C4CF18E3EC2C182C2885946644B6E2E15C4C5B48F3BD3B0CF8E9FA6BCEC2D08A1581B0E6FB6E735B2D3A3E254175B341D50C16837315E909148A216EF9E934B82655FBA768BE3A33DDA4D08486670CC66FB5D26B70E6D4E2574CAB3CCA2B0EEB070388A6BAEB20C7036D2C64C2C896F3F598C4D7EE8E9DC76B491312B37D96935BA326C494BA7F1E79C0D1489171725CA88694E6E9F11651DCF3C0EE2C4C67A731C5220BF578DAB2F33D8EB35B9B1CE455B28C96C0691F8054AA9DF7970543D72D0C2389C1DEF32953D8EEDE2DDAA4212029351F6A7FFFDA0008010100010502ED4FEC04EF1D1FFB034CE17C83E515A8AED3B512289C6691B2BFDDBB5E46D7998E6BB759DE271647D55CE0EBD69864648EB3518D918BB3B41E82778E94E24694F78637B7EE5BC3BAEC9B59BFC5B37DC7AEB55E08E1B2D9BB36971EDF69A10F7B9ED786FB9C4B97BAF91D0D97851D8041717109DE3AA6B9D3B06DD85B351767DB34C74FA9B1DF5FA9D1D2A105BE9E2953BA8629FDB07B5EBC34C1FB6A593F9088CAAC65334C4D5B2D9036486ED76DBE38413BC74508F6F3856A99ECE56FC76B5BEE7AAEA60EA6B39AA46ED2B36EDA909DF76BF0A4FADC66BB106D78B72F89D5E6B760CEE40A7A09FE3AF97D8EBAB424B3668ACC16FE4AE4E4F2A7DD588B99EC2AE549071B5DB1E4DAA3FC8EC1B80F58FB7051765045506B1D055CB1B62589D72B5586A46E4EF12298A92D18E6B0F6867616CC762D8F75BD77FB9D8C8E9258A5F6DD3C3ED86CCE0014D4F542D16B9B7B9196C5486BC176B5B6B948709DBA9F736AB92AB452F2ECA9C4F55D814314705CB0C7491085C65EE3D8863032814D2B1953DFAD5C75D6A3732F76D5FAF86BDCAD15A6586CB07617D95DB63E61D83A58FE41DC3CB3B5ED53ED0995C797CD520FE4DDEF23CF69D55593B0569AD8EECCF749234F12D4D44AECAAB833A7E33C5D8753176763E5262B35FE0F2587F4DDF5C7F3A727D8C9A48847F21879761D832EBA47CAD5D5D9F684CF31760DFF00ACEA1CF2E7881D2B1073535ED5C839472363553FC6BB1576A9FAC7DB3638D1A13C4D9E7FEB2095B5BB01D475DD875F3BAD7570C92C8E6B82124B59D19362C7C8E4228AEBA70C53C0D32FF6C876C876EBFB62E5D496DD9DCD686B1802EF2D82E8072963A71B94DD7CED16BABBAF23AA7446E451BE3B658D6D57607653FF0035952080A10C58733F732B92E684ABE2571ADEDA7B62213CEE860ECAC73757B8E69EBF8CAC2CE2AC3F02D380334E057EC1DF6C530E10D37F0929FED9867E7603430EB9556C3EAD99EDCB65FF0021BD2D6864ED8BE592FF00B51F40F962649678B6D5ADEE5824589F1059FDC1D6471F391D3DDB7245ED16CC58E95D4E690E9D7F47D9F6669FC2BAFAECB5D77491BEAC750D5FE4C5619DEFC6EACF341D4C35D72F611EC19621B7670AD4D94F712A67A823FDA82C185DCC2BF74B975BF1BED6DB4AEA2A9BBD93E5AF55AF7CD28ECA76B64EA2F8AB6A783FED2EF53F23E735DEDEAB26F91B5863EE8CF24752DD88ACC6F639CAC6C7DC731B5238ED502E9314FDA12747DCD47D52BAAB868762C31C8BBAEEA7ACBFBC92790D5EC2D425F27B2FECE1805EEC5F689A75E57C31D781099AC82E49EE4B2B94A7918F12BE9FBB5A5BCC6B4B5F8547B3B1591D3E23DA7F329F7949D3BA7E9A1A6CE96F5B8628E338B95415660E2E932C4D7E0CDD8FD92D8DDF3A2ECA077F7DFC5F21231B86E013A7C5DF345D8D91EE452568AF365EB58C4DB50B9B6A7E4ADCCD60B3718A6BEA4BC9F61CE4092B2B2B28951B793F0B3A7C562562CCD1A83B4E128B0D70B71A96C4D2D296BF63624B5D13FD96D67367B7D69891610815C965656540DC00165657C6DBC6AD82AE7E55FB39E054E39E6AD3F5D9577FB4A0BFB78A64E632C3641CA09C0475CA602E731BB01859595D0BBFC2B2EDAC9C9E9FABFE6C96EE5F62AFD94171B2C0245DD7575E66C0CB15448EC1ECA27432EA06544DE022FC5F26FA743FE9DAF13F9E97FF00126FC9FF00FACDFC7B3F16BC4DE7BAFF008B58BF351FFC727E7FFFDA00080102000105027EA3D0F9535AB1A35DB83A95235342F051F4044E1492E546DCA0405C82C84C2A245058D3088F500A6710BCA6EC9C34CE91BD39018D1D8C3771845870756A2516991CD67DC1B8D4E8C3BF2D9877281C86371A9D73811B17843779D4A282CED127F88FD613364F239B5B807428A2804C6E53149F8C41109A563D01672765C91D4A3A35C9C89CB5BE73B43927D1825670B256EB29C500B885808A6F871C3613F64878A67E207A0A61446FFA731A0457145A506AC2902032DFC9D85CB1A715C56116AC6C5613B6016535F85EE052698051D8571F7295A9A565656565724E40279DFD194135394438A7B8AC943D45C89DB46AC23AC68845C83D6426FA8F972E0805FA93A81BB765215B000AC201C06B95EE6EEC22564844FA00D004E28B73A46C4ED0A7380592B3A145AB884235EDE341A35613B676C8A63F43A124AF6D7138075E489CE8D4104764EC14C3A11A94E4C9113B047D1C5008375E280F4B93B4DD651D0041883106FD272250F464212207283FE9B91D70B0860AF6CA070BF243E93BCE802CE984C7908E0A679C7D2779D3F4287845350F3F43FFDA00080103000105026EA7D0C891D9674E3B11E86393B51A9D638D38A3BAE250051F1226A216750741A9D18DCA0DC27205674C27B1351DF4693976C5724353A35DC4193ED2ECEA104516A78D9A88C17BB3A8D71BB8E87666810434C293C33CC88FA8A29A0F1273A84163471C2728FF00294A6BB09C172F4158C2DD71D0681028A21613460BC646379761E8CE1610016015C776B7D034FD651BB374EFC9C727D0F081D879F6DD97657E8B9204699411D8F804EFC723D384173C26FDCE413E3E4BD921334F0BC99BF15114E62E2B8AE2B8A70C208951B742B92CAC68504FDD3581710B1E978D83501921613D6500869220500B8A014A7D40614402CE8E41A80D0A7268D068482742E0173250692B75C7086E868068743A03A4D2A6E84EC01286134278C807ED12B16422E0107E5028E8E44A1B824A09CDD0E8C6041CD45EDD3865706A21BA9453B4013C7A5E146E4F6E5637281F465128BB5CA28FA0A6A0EC2C85C501A145C8C88C9EA3E828045AB09A50F2414589C083C110B2B2B2B3A1F41434C681C8B97B8139B95BB51FA450D09580B08145B94149E397D31A1FC86A1391F1F43FFFDA0008010202063F02F70CB4ADF95088A48A2B66C6D3A666D48D39C2149E4070DFFFDA0008010302063F02F72EB42E9E122F151A677E64E586C833C702786FFFDA0008010101063F02DA4EE1ED713A2F35709A738C0926305D48411B440FEE58CE406E7C3EB3463E8A22814D5BEE07E89C1FA43E8B23633298EBE0FC7C93D419A996E387B5C4F82B1BB4EC2E3A4D43017738834094D1C38B18EA1F7E5333E485ADF128C4409D535E636DC10CDF1039608B59284118709ABB4421EA83BB6779840C7986A8B0BAB0FA21FBA7729EEB8E59E3344C6B298D741BEC1CD91FA21870B3CDDA94795110566495B21E68BE1E6542355FD82D0D934230A3537163ABC809C04E1241E38CD078A10770E4D9D3C861859C2A4ACFFE33B9CA7A5805ED0D9120F8A38B08F71893B97CE5FB502E374E11F02B9A9E154E77056E8EAA0784D0308437AFD7457643125705DC77780C7163686B9DC5DC376D6D4AE832767E68BCE89CDFA2682AF754EC8FD1486E745FAAE8BBE34F2471F72E8321CA3C511868F376EDCDA0D538B66AE2AFC73D50742E851BC53E3FEE853C94611142131EDF6BC5C22A0372D5065409943B8EE5B36D48112AEEDF2078F0DD30D57DA38FF12754E0E1CDAA7768F9384F1B93DD99F6FED1A98A2CC342EA6A50C3F2260B1F6B88DC5800BB727456621E655CE308D027BFBC23A6E94E935F77FE27B80DB6ADBEE611C137337E4145CE822CEDF05C2328A31EDAE8D2455D9BB2E4D609B9B10B6DF746504EC8E95D357698EB0595B8A70E09F88085822E7700ACC7F13545EE31F151DB35D4C42210E2D401C5D57E2E62CB880E4D3D8761F6FDC35965C45B67942AB333BA88E8BF92EE104E634A710DBF27C42EA64EF31C47C18C2E8784426B5D91AE6EA5A55B8DF6307FC61945FDA6E851E9CE1C6303C745D57F345D71F55DDF731B4F747D6D1A22FE28B98262A372011C79072945D8FDA4D13BB803DF205472E488F25D36D4D53DCE4D6E17F4C0887B0FC8F9A7761F681CDB4863F1526350B2773100BA126348121C174C4599346BE41DE49D8DE274215D58542BDC24B162D1AD01ADFD7610E94289DD2FC37398AC4C06A66831B40A254340AF46527551FB779870AAD3F02864C862E1A239FE7F32882A2049935135D3D543332EBBDB382936D87A95F9EEE1C7C62A2A2EAEA8AB61215281064A4A07665F21F9AF34D6704ECD9B9455838F8AC591BC68A390438A74F9CD3771F70CAE37072EDDAD12CF02D7688B4B0F9C15A488F8945AC1CCE4C192AE0091B08460BA5C4C4FA6C393350506A7C974BB71CA3DC49FCD7423EDF71E251BB99A6B15D463A92B4ED1F6D84DBFBCC820FF00F2190E57EAC6C82E8BBB583788AAC0DED0DCDC27963545AD9C24E69D175AC8478201ADA20E655B451067A8D908ECB539CDF742B4804D0251D517391C3869A95D66E12319A13B3B7ED808DEE98F0418D16812028AE27A4CFAAC8DBAFF00E4289B8FA97332543AA0A6E4EB1C38F2B6170A07A7747B96E6C6D9C63FA20EEE3B688718031F4471F7188B08AEAADED417FA14323C5A48261E0141DB02238AEE271CF879D8CE2DD54C941CFA26638090D983BA1F074FC91CC67183B194EE5240F927BDE231355FFD0C5DB9E9B08B5E9B92DBC3808B78146D73F1794D58E04B4522AF7620E26A4A835A0780929FED476961946855F6C6156F11428D9EDF89D9C8E96DFB7CA79FB7E5F36AE9E39077B9E7443230723B42B176FEEC594B840E8A0B99A09506B40D97BCAB41DDB6E30E1156C77464C7EDA3C7151022B1E2CD4C712E1C535F85B0B0DC020586AB968893B2AA47FD33917F5D382E66C095147276EEB4EA0D0ABF1641236BB94C884475011C4845E7B9E68484174BB9F42AEC7EDDFBB7228ECB6A17DCF76D01AFF6631587129DD1365D582713FDB886ADAFE0B9CF905F922C356EF41406E0DAEEE3372E0C5AF177041D839C0FFAE925293C49CC3221457B219051C2AAC708E91423A95E0777C5454368DA3FF477E88A67F1417A23E6BD421B8373FFDA0008010103013F210B430407E0478E8816EA1C21B201EB9898120CB9F26271019799AD88F779D1339C254D7A3C405D0AE1A88B2770C4B2CDA01B58BA0CBF32E8F6FDAC7E201E966778AC137609A00C13F88EEF1C1260F7CDCCB98C410403DEE4B89A4B2AF8866DE3AC2DB58E3EFC0FF422E4E9C86293C13D7B0712AA1416B8E7EF379814EE4D1F12B91B37DB51E35F82127872FC5FE52A8C64E2CF24B711055436558ABB1FD87B4A684E7CCB441E930AD1510103C3344324CCE039EEBA9AEF607576C041605DB225C1B1B8611576C66BD40AEC3BA38CC80396CC3332A96C35A396651F0021A998F73DC6540EAEAD6A3C956DB86CA6A333B0DBDCC01A8FBD4BA87A560F2C44326EE3B8E2E13ED86C12AFC2F32BAEA73BC1F699A651F994284301BE8946FCF92511B0018B4C44EFBA362CD4069996CBC84770B04C6B0554BC451803A045DFA7DD964F9F2BB711C4F0A5830FB450730A01512DF32507B8E2D2EDD61FFCCC0031A3BB7C4B52B1C7F50DD06FED385F5105967CCA6073CC5CFC944BFD2F89B180C1E625A5BB9E784ACD84B1A5423F60FB8DB986512DCA1CEA3CED2F65E2E70EEC3DFCC04163B8CA9FDA569DF9F711C33CDAD0F64B556857C8C016FC21752C7556A668A3C6226DF4DCA2CCC26AD85AAC1EFEA57D2DDB50E71349840AE2661147885FBC06D81758766298E35DC3329E47AF9A952C96819381DA50869AED4AB940F556A2F610D07FEC6744CFD2432D5C986C0F679F98D84B249558E3315D8B2EA2C8877626A3A250273B945D41C72BDA24F3A24F79494F41FC22725E4B0CB186ED7EC73034B3C3DC33CF78E5C6E7314AAE08648C26FC368812F13DF51D427945A1C44DCBCE0D3986DC3B0CC178E231DA6EAB00038AD5CD299850BBD809F30F5B139441ACC5A872FC4DDEDF11EE32DAC93F27346A1680FF0036398BEFED2079610E28C1CD779899B6A5B2BEC8C332E5ECA1011605610A03DB98C4DAB8E59CA1C92A983764EEC96AC2E197435154B9DE1708D72006F108D01BAA43AD536C5B0A4BDD1E605A9822298BA3C7696BBC0CCA8B4CF9731C37907541450ED3C1322D7970C1A805AB67B9411B2CE489B10E2F56E8977E8AFBE2D408EE896BBC1C545D88D5E652FF00F21FFAA56D8E63BACD64A8C0D050461D110A7B24A825E724B17703CC0E06D7C238C3EED1FCA826B82BAA8E82C63B86B30CDC5563CE200E4CD78712B071BFF9446D3C2958F998C7CD66CAE263174816F89683829514C48358F3DEA5D5B75285E65D38BE21F74BA9B3BACE23BE882BCCDAD21AC1A2FF008278E40F6C2E11FE14B05AE7C9FF00040DDDAC9D3FF252EA2818A66AF395F02DFEA08CBE8516883E98A4FC98E6A0505851B0929E9A550FDA0A801DB2BE22181D81C0F2711043EFB4EFC61D67269E3482E3B6A0FC05E5FB08B818B0941DDA3D108B9361F83C132A8147B3BFB879296A3AF4F3D0CB423DE37E595A2F780BFB8444354A95893C3AAC33A653E3C88BC930CBC5A82501AB858578593E106D2A7CDDA0591B788E690E77887B4713E6CE9567E660056BB6D258B4CE58AE42C1FE883CB1C2BE816956CD532C0DE1A9863C13C602BB7A372E48E4D0F91155821182E1899C39D65DBEE63F29656EF8C1866AA3015BE1EE6BD3C1232E23A03F5169842CE4A88E018AD73337B964B8D2D2E5FABF8B998ACF988B4A25DCF460BA38229F6618988612CD597644C8CDA0DC681CB5262E3B4B676F12C8BE9B38B30DAE2AEF4F552D732EEAAA711F73CDA42472F1D22E704A675A84A350468842BC40FE574DDCD47635DCAB0F817C8CDA9C1F031DD4C2394D5F4ACDB8AB27669F88EABBEEB1FECADA59E5AE7DCDACC79D701562A7CDBA8B869E9B539B2874352FBCFBC2137F32E7736A51694D3637654E2A165786316E80B2DDDF85308AFB79F111DF907C107B01079AE25E53F4F72D3F72343F7E6315BC170B3C3E23B793ED12BB99C669D37E9A191E11858794CEEE2F908DB97A79A43C9DCACBDB3FAD4A8F88B9368377BDCEF005A51298F8021732929681C333BDAE18CE653D57A578F9D4B331860BCE0E99669E664CD5AB9A6E0B3F21FA952C15671F98505B0E99E7FE236F1A1E759A56B3E0CE0859965656E5CBE93465078A528CB247A0FD4AD7CCB59741DC3EF0FF00628736555BC1EF3C17D6D76A62D6DC1FE9F01FE9160AD8703CCEFC067DC46FAE2CB631151CC3BDDB7099A110633F4FF5367CCDFD3EFD2EAC347B74AD70FD5FA43B3A5B27FFDA0008010203013F21E8228745A8EBF963B312215D10574A8333B7314E09431DF43A2862E5DC6BA2065CC68992A6998C2235328450272CD47A12A628AD3AE8C1888CC91505BE9E53832E6E3C415C6C7411D082E09338D208FB254F31224134F465BA3F7C0953E89D64CD62A5C50211D351F47A8F338A6F14BCD43A5C5BE84165316C8AA2C40C5F5894A60D3D2A09792DC3C44C3A1147520573B947A1890412EA39A8B8FCC72A8AA09CA583E7E8BA86EEA3A08231A6C999D1C3963DD8F7A1A82A301DE542E1E515DD9511EA2C9C0C723584C74928CD4C98267A218886580E25ACC4CB7B6C285442A7E920C65AC5BCCD5E822B660D8880BE27994669CB1BD2CD45ACFD0291E81CBFA089D1948CB2F4DA80DBA4B1D6E5C7A4E43D047AD5920CCCF70EE89911851899BE3E94C46E11B2D52D61D9D1584B3A06AA205B8B331BCA03F42485722588C5847562BB84581D20E9649B12A53965931F4114F04FBFDCC1A832798BEFA0AEA3542831C20805892ECC08BC1AA7A6928BB8845D40ECEA63A659C425C30C4E814410CC17187493E845330630D3D18820C230EA4A8CA5FD46B0592AEA50808BE9E408F4A9503E979E829718D4A4863A822E32530654A952BEA59E83A6B7153D494457302CFF00E918742D16308C70707FF34C21FF00CD99FA3FFFDA0008010303013F21FADC10443661771824CF12E1613B9D1B26A1FA41728DC4818AA588309E302B137308855C5ACE0897F505ACCCEA4903AB15153313F131073D10D364A5FD070268B71A9DD2E41831470E264E8F6A8B74BDD07E86539689B9823B8420E95506E394E28645170CAC4A6075C1B99E602C455987D06B0E9B321DA592C4AC1350FA0262CC2CE2288410FA32E8405EE6825E0C290EB5113916F44418525F1C6882F683D55708E33866353A40F51A6721D1679CDC1990B8151730DC5730AEA6ECA245969B874A952A03D3BC0709B11D4C25CB1E8AFCF4CC5C1D57A70CEC7D3F4BAAA88B88A1DD00C22A543A71CE7400C4684AEB52E72FE9868E8C265D63162639C8C4A13B93047E860066D4ACB2667D06A652A995C413CCBE47A6E23A902C331B8B28C199423994B08A2C7095B50AE815BCC6556E8A079663ED1E1938B4FD4ED2BAADE52241D1CA264F79577291388C16546F5294D68F68E60661C80CA389D9F40E95143388C7446A0C7A734C59826CDF4D7FF0CD70E850747A1B22A664D7306DC55F4822E89C460AF4B9717E96B0598A613B90764B51D37281094B2290FA12FA997F4688A0D1D1F0CB211A85B4EA563D2E5CBEB72FE82BC10AE2CE8845886DCB574BE951FA78FA839FA38FAD9FFFDA000C0301000211031100001067F9AF6EF42D8FE0DBBDC75891A42B9B68FBF35AA4EFDB8B42A616FF009D78541737614C9563A81470C8A552A2EFFC04D4B6CF7153EC9396BCA0638011EEC51336A42771163C9BCE318BE201C9781E4CA0B97FBD48510505FDC4512FA08387FAA210366B785DDDD4074D3DAF4716330824F2E084923C5B46D6CDB3A26DF4FBF1C3F026E5A2F1A992770603CE074A9C1733580FFF007F5210F2B8B4DA2DEC414A5797B1302F112EFFDA0008010103013F10CD1CA344C9287286F17F32F9BC470E032AE00202992041BB174E32FDB32BE8102ADF0A51AF11B305D228B440579E7D12A1646D45AC8410BADF10FE50D2A96D40C088BBD545765E9396FD4F2F12B2D679CC46CB9AF1973329B0F29E34D9CCA8CAECA842ACE1B401F70D42A0D023C45D0217600B158E3873E2E0653049698900145FA6675A0E47397043BC74B8387041189A6A1CB42DA963B472172A99C3A944BE5CD0C11ACAD19EF099290EC253C10BAC0085AD5A15BAB8CBDC5AD90F705971F861E718E7051431062C948D77A3C8B1786951792F733C5C31DBB94ABED507A299A3C5EDEA2BA9A02C95C877169801583A5D9E77A8519AF7C9518CDD38FEABAADA36771847CCB9D6F3C4D1306C7D2E73EDE20B7622F6374244A47960E02AC328A0439727606D0A7BD778CF021C4652AD6211050B4C22E7923EF3D8A5159C2D8C8871CEF576AA6EE2132EFD639BEF9FE4002A00ADF01BA22951098A7093AB5371AA56E7C0547DE51CD010082AEAAE0064765E51FB9A65E900EAED02BB26532DA806605F266578CA421C880132C0FA53F507C71069AD9400AA2BD1B866E39975858EC370223619A2D33E3F28EAA99C14A3F7427A5264FBC73AC095C309A018EC44331A7BA43C8BA96A4A4B650500F9959ABD4DE010A2A2B9A003841B2E0284C0F61BAF75292B1672F2B2ADAE99DC95C47B10B12F5294412A25E6A2FEF02559BAE01C9F7B82DA15AB80F981362ED34C8E43286597032232EF5CC6BA2ADFBCA76F96C9FF00B2CDCB9792DAF8E11A8B1A6589951F70C70BD8B56F97837093C15FE502A2816668FDDAC512B0D8D1031B8AE40AC3DA65591C2C6862D3C46D134F0633702B5C945B3B31C926B79B6F8D41AB59C38D8D5DB52ACCC600A93B0628895512CC114E62B2E81BF12BDC5BFAF3DDAE5A90B0B9B24569B152EEC5C12A006B1CD9EDE0180B5423E4D0DC420A3B0A7A4E688E6FAE11A93C3E609CD76962646BC908546CA2C3B4B66D08A5D6638C50F23070DC407B00A1C57CAC0F934361BD5F95C4D894AE7D86922BD895049430339650B6F657E25C404F0A38ED3BC47980BB0BA81BC40141DA6EBCCB4B06D360C3DC6B4EA58BA5D39F44C5079E264422DE030AEFE635ED68D3419718B83A1CC6CF6B8E32AEFB874ED7446634406CD7A8E588507CA41C53F32B0AE8578C779788858A556B019E65A3FAD9A96E5878523F80B0D045A59DA3C40A0E6D550EF88E18C218282D1122B0CB0EFC96217F700179698F573454429BA52755CC6888AF0D26432E0B29283A65283DF6894F40B1E002BB45ABE0E2B55A2735F1007D00B62C96DBBC4420B8D881442216DB7E4A88D18805CCA5D7C53B730903A9147377983DDECE50F6122D7AAF4B0A04F0290B0DD6B5A924828CA34EB220ACEC0390BC5C2A80026017454CCDA2BA9E9CAD04D98048E954929EA54C1AF817461F998D4939038B6BE561883F5F0780E16662A86DCA64CD0B61C9CF92A04FB371F430E8907E0457C4C0C731CC3CAB40BC8A7A8A419FDA041EBEF111D85A0486FAE834D63F5986041406C57FE99A2A1081929ED834000AEB2EBC5CE2302190837416D15128103CD9631921E04499D419CADC8BF511C87B8D58E2CE4B2E6200AD30C2631A7EE211466911BA4AB7B3B7CC4E0E048A6103A943C2B120ED09EA52094AD08B672E6EA570A28D1B128CBBF5EE58E3895FDA2745D2CBA08AB80D03D81AF883F2FB21398635035A6BF7193E16098709472065D4142985C01511810363AFCCA048E04ABBF7B61BC8CECA2DD117AF6399B9B2240628D7F4BFD9949ADD9CB396F81DA5E06ECA8594C85B8C32B818CCB7C15DEA8B95746AC2DAB50D4BA6926020AEDCDD9DFD47A10D31DE235F88FEE35A917B043DE2C5CABC9452F30EC0C7BC580F1DE27CC0F33BA832307C4BB9BA0CCBC76943FD51C682B0AE99738CC0A7360CBDE7E63F67302D97702B34470A0F71732E98F117C2DB039BC915EC86BB86627AA5A77610FD4392EE5BE6D6088DA3206CEF18B6C556EC0476BBE5965CA8A576D838CAA941D721601A4314EC94654688159B450626188525A38132BDCFDC8AA821E190565A2AA19218A73C09658EC88945C3016BB3B8178345976287308C981B5D64C7B8C32DC4C441ADC68F659C059C5F6258FB6D56DAF02DC6770CDC820BED6B2F0D7E42EA55C9A6605B463DB0B7158430A95A0AC1464176936955D80FDE3A079AFA668BA1C334C12361D9C06EF398D9762C3E05233CE1BF8941484B0D69616F965D5A822EEBC2CC830BEAD3625F3517C048657C227EE28388C115E6E8086CF70B18ADB6911534E9EF943C98C3B29959798D5E8596EA8E5F13030F8721E7DDC756DBBB3182916A76C952A5E85872443BB68AE2E3F4A5636E642AFB4475394BCB977185D127273FD188E05887D4730C1FE85B4B6FE2882F3C7169AC05B1681853D0A70E5F31300D8569365AE38A63A8C593043563A94DAD01D0684B061C938ADB72D5A2B92BBC42B210EE22E11BA97B25C29BBB8BD311612F568A8EC49856D2FB378968A37558B3B7E25E657DB0FE18DB56A118AB0BEC768E1AF421402E2AAA943BC20C9652E935AB88A8E517A4943D6800535DAC8D8A3D7B66DFE195D97E01C49C5D5661BC128A072864FB46477CEDC390EF1E6EC4AEC188DA2B3C450D33CAA6200BA6A1E900B69560959AB825FCCD422A8C936F733B1CDE2A54DA4028FC19F98FD880F2240957D971AB89D35B9DD135EA5BDD3445597B4849FA8805186959CC434BDBB7EE4ECD8F920F4E222092A680B8ABA1459CA6C455F330C532F9F4DABC6D76253230033514BB2D919A9641DF4012B24318800C63ED075B219DCC5ED2E50A011A5AED31534464BC7925FE53DBBBD888D4948B67F1886B0AB6A4A6137278B9949CF10BDB8263621B17DCBA87D2A82D8B2D3EF9967CA14752EE85D0811687AF6710ED538F2D81AF3B2260B80B154BAB45E584603B565CFB26A05F270695C96D2698EE7B6DAC621CA156CA0A15B08EF022D8617159CCB8281B0343D66341381568CEC2FBE5885972E52E1012DB8975CA0F8BB7D10EE9D64F5D6792F4D4DA96A664AE1E20D99A8DC15CF32FF00E2A9F5994715734872870F9253F6F02BD02A0E9FA4071F62B5DAABAE799688C9820BA4BB4EF03D8B82DB56304139A644A339898155B9A7A8B4DC2ECC31B5CAC59D9FB8BD2BB9385DFB84989728FEA2A8526DE710F2FEEFA7CB2D190015C72317C7DD2D4A06EAB80A055D19C453CD407271CED77B421D9C53938C9FF0061952B44E6BBF32C055E0ED0E7CCA80A7491594C7098F31B73391573E083A0008023B9E699B7281DC48AF1FA4B1C4439B116556F7C67B0F70686853343A0AECBC3175965943DAC9E9D3195C25715FDB8E88229ED165A51E062F3D39486AD9117D47C20023B60FE2058712EF9A8EB6439A0BCC1019541E581FF00C6D4EFF36FF254CEA709BCFC697E37E93F47F44FF17B47F8BC13F37FB9F8C7EA7FB1DE7FB3CCFF0063B4FCFF00DA3CC37399FB3FA7A3D5E9FDB3FD3D4FFFDA0008010203013F10DFAA848ACE822D8DBE5FF88965732956E10CB18688C150AE4CCAD5E203A57F66B7946AE312CC6C398F96CB9D3697997914AE22509290B270445995F5A8F65174CC9E4B2F9E8C201EF14D3731371A2862976876012655F1B22BE82651084B956A16C23C3B3FA9B0656A8384F662D05C5BD44A5AD770A55ED802D22E031C3BFF0091146619E1228F55ECC03CCA92AEC450BCA645CA974A6046D93989AE049ADDCB49DE503B88ACEF090EFD012A33AB08DC40CAB0A4D04D0B205C48E3CC736E7039868B28492DA3447996DD4A56597BA2849A18D6E2D7923EA435DAE36EFCC6AC712D146D6214B7398B888DC6EAF98275F1FF00660AE939969A2D5463714BE820B60F8A6E0A870772BD10B788D30CB099A254BBBE2302B114AD1C2111BEFD80EF0EED83E0805C6AE0C2825FF7C458306245C672A8354EA2FA2EE3E3180B66482DABE995B1058BCCA80979CA0913537B1E3BC4A9DF108C0A82C81022D12BA930AD30F7198F4234A5880CF349A961918F30FDA3F4DB11D97C4401EC4C0F145478AA083812C261E95202009AEDC072DC29393629DF3B8A98EEF730C07CC070FD4D60F86CF704B0468350141CCB9776FF00F9D100F282075B5804B1A87004B96E89653998FA946A5D399C24A91A84150AB4B94A89E077F133D406F171BB2DDFC12FF0B972E5BA1A370C991ED8ED9980CA18B1518583CF4D974FFC8E19DE5EC76F6C43B74B615C083C087D1722220FA12A39198BE08E94524BE0B6663B4768F1B7F539B0E8FEC4D7BD41056195037DA1D2F1886672F8834638F341702A22596267D4B0CBC96740C9CD2C23ABFBCA8AE25F41069F1CB4ADF4D2A61B6CC9AFF6F8982834F08D8363BC0BAE81F98CBE07696386A0F90C7B154AB1920A745C41189C07897CF1FF0025CC11F08C18D840E9B85845BC4A6DC0877150B84177089EC9EA0ACDEA63B047B2DCACF48C128197019ADCA55EFCEA2217B96CBA1D3D1C3A671F5D41BAE4A7119893B932831446B8EF430C4D26C217006E0E225C3A01F29C04F5AA3A6B52A62678658AC5789DFE880095D14E868EA1D1B8C51B954CC21A60A0DE3ED0B605618AC7DF4A8900B1B4AC608AEB5D3362CCDA04136416A5E0BB79D7DE3C497722F32E65CC43A54A8E20461D1E5378332C2E26E59719E950071C8EA236460A40195D565DF4A8426F9B4DE7EE9A4DDFDD475D1B1D2EDEBE913886A7FFDA0008010303013F10DBA3D232E1997707B41B44F092E8202ED8073A8E19622EE98FB9FE4BC4E1116C46FED896C5508C318EA88AAC164047EA00CEE0C378876459AD88E13550C5B533951D67DC1077965ACCD2831D1E8656689329DE316DD4A75013313289052E09A9640AAD426EB5151CAA8D5E4D41BC9C7E48FA338A2B06E16E5386708E5D83A17CC90929990452FC4A1332EC2C17D91092591C6E1E8C691C4328D04B5776249650C5D0B54A96CA96F336A64A30460DADCC17299906704025448DA1C4381E6521B616EC8486E0CC388068C0F305788731017B54669C1FEA990AB1E20EC68C144495122AE25AD8C23C332EC78CCB3315388A883101704D3076F8884EA251AAFCC1C53370A9B232D112542D821DDD8B2E485AB6AA1186C8A8138422DB071DE2A6454A8E4768AF9D448B14CA0ED22A2B72A6E3D2A1961234788CCEC101CD5C62B52FF3AD50B309AA12830C18663B279E9F7E62A7265B92FF006654BCBC5F41716A00F387D116B3A214ACA26CB9A71E182EC6A31808FE3E25B55052C9B6989804AB9B5710555FD3F62C6DABB961474BD48C7B84B84031021C6A5C4A1EA57CBC47946D7CD4C215FB99C7823152A31F1897E1E1D1D110C4B80DA66C40D419947B4C02E2E60C071196F68656F2A412BA8B2A3D768868F7C4ADABA88106C25AC0A9809C90D605962D7D398261704472352966EA6DD36A8851A3BB2F39622834A4CF3F7944DA02A2036E9181D1BA5388685E600774A0B96DBFB632153680CB825F37B8BD07F09606ADE228BAB34916A2C35DE291773C54BD69D432D6A0BFE4C419DC62328463888E40C87FBEF308AA8519845614065A62005A39F333DF796B2AA8048C05CBA4E7BC543039A221BAAC502828973117532C1582EAE62B75029AEA9DA2CADA7300BEDDA3AC237048E1EF0EE21A58ABCC710F32810E0CC9B60CC5D55CBC9925C598B09465FE7112CEC7FEC5702FBCBAB94EE6082423980D318C462D838E973F12F8F3D162F40CCCB22DA45D0B86A157300204645C7D4DF93A014732996978F41E65C518CAA086AA399CB6257C1305B6F50150CBBA0F831971719717A59CA39E8C3030432E5E322CBC137CC471AE81175934C58183DC54BA160A3051563A2C631D26B19B3D13846729AF46EFA1C4E23BEAFFD900','Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French.',2 +,'http://accweb/emmployees/davolio.bmp'); +INSERT INTO Employees VALUES(null,'Dodsworth','Anne','Sales Representative','Ms.','1966-01-27','1994-11-15','7 Houndstooth Rd.','London',NULL,'WG2 7LT','UK','(71) 555-4444','452',X'FFD8FFE000104A46494600010200006400640000FFEC00114475636B7900010004000000480000FFEE002641646F62650064C0000000010300150403060A0D00000E270000133200001E3500002FA8FFDB008400040303030303040303040503030305060504040506070606060606070907080808080709090B0B0C0B0B090C0C0C0C0C0C101010101012121212121212121212010404040707070E09090E140E0D0E1414121212121412121212121212121212121212121212121212121212121212121212121212121212121212121212121212FFC200110800AA00A003011100021101031101FFC400D400000301000301010000000000000000000405060301020700080100030101010100000000000000000000020304050100061000020202010401040202030003000000010200031104121021310513204122323314230630421524343511000103020305050704030100000000000100110221033141121051812232206171421391A1B1C152230430627233D143531412000102070101000000000000000000001130210010204050600131701301000202010401040301010000000000010011213141105161718191A1B1C120F0D1E1F1FFDA000C03010002110311000001ED29902650B34064A05732C665DEB253F0246FDEB69E993BA0673D40905545A0FE6A32F29A796EADC43A89229BED04FB89A35D737CACF5B17513E7CF5CC37F76017E2048412E2E209CAA32D3459E6683658B6740C7431A0A857224226E9B0B9E4D74CDD9E0BA7A09B43D063A693929853906AD7A1D3BD91E55E27A33DF63ED1A836AC8DFE8FCF41D72F29AA5D3ACB0FD411E8C56A62B84597B069D38ADD7613DB210C512C4FDEE600DF19EDF9C9A6C676A77CE75595AD992966D44BCAF9E13C93420B67E7AEB3B62D27735F2DA946C1B290C49269FBBCCC4E79177875155766E8EDE4CF3C37D1F9A4F3EBF7552C54E7F2D11DA79AE81F693B5A794D0E22DA829B3EE4AFBDEE9C3194DFCF2DD2B2CBD2CBA277912BA79132C63F8748C5986E5627E6A2EB54F0CEA59B2662731868D8D620386F33B8FBC64365CC6E17A2ADC906ACF48DE3B92D0DC8DF9D49405AC5A2C7C0FBC933C02F1B4DC8DABA3925EA2D721B80F9D7AB194FA794E2ED9BE743DA7BF3EF65F4F15C47A2F916341629B33C3B33AF57C2E0D5DD457B562F9BF3546B72FBC77A845BC476ABA2608B9CD78CB5773296E158A61C205BEF4095ED4A52FA0C8E7CF9D9C0B7D02BC1C78588B4825239EB87975A569197BF3E926256C1E4B96595AE134267422F4882DA4E4F42FCCD4813AAE4435DDD985DC97DC87A012692DFCF94DEC67B34E4EBA99563E55B5C9559DA3E8B8DB7E73B19D5D3554AB1A4284934497B44811B6AB10407EA6BEFCE4BA2BF07BFBEA787B0ADA904F93F5C896C8F1625E45A0391D54D5D128E8F88C7BEF3CAFAC07BE92103329E6D5A0EFD241B7BE79CD4A09C93D51E1D5625E55547C7BA33A725355BC1A6ED4E7C2181797116A435DE8F360E6A32963E5D7493EAD37731980682A8806A93571BDCFD50E9938F759F196F0DF4E09977B523FD5E9E3D64A08D3481982ADBF9FF56203DDA5CDD9C18A19B2700D9BD3CB653D15599AC2B9515AF87EA38BF4558AE76F183D6107D6A5337F47BF150BDA3C7B4603D14359EA709EC5E8679A8B3EE12EA2515F3DD636E798FD1FCB9AB7FA0656D54CF453825E3A121B3F1EE460D5E46F6FC1E5944FA0FB0A61D27A066016B7E25E3E7A8762446A92DF9A42DB471DF7F068DC2C193259B3F78DD226CF616B28ED6C406891CA98643A49AB87706328F4457251E8663ECDD50698837A8859B3552F515B943A1ADCE366AC959B34B66F4F226EDCE7007518FBB1BAB8AC66B8D9EB594CA1BA6AACED49AD1CCE38452DC470FB7B80351C81398F437F732354CE8667268D3BC719BAB33A594DE3B494DCB6A80A4D2D26B30352EAA4296EDC58BDD206E49687B98F40B125744B31A590D97C56D5BB87411DB0B053C99ED04A76434D0C3A0A8D2B6B94E455CB16B9D286E41A87BC8749925CA6B82375B1A86720181FFFDA00080101000105020860AE2A438137F6F338C38CD4789BB4B604D652C86DC25299BBFB440FED58C7436ED59F2072C9961DD696C883A666D6DE2043637F49F1768DBC752B0D62503157AB0B3FF1F03FF01955BD0B3CDAF556EB97D7E269B9A99A569B12B20CA3F513E49F24BF638A9334D512ADCD86B9EBACE75B5C31D5AC895AC0938415C6A11C7B1F4A8C97D1651B1A2AF5526D0175F690BF2060AE37145BECE44372766E1EB9ACE274D5EE3AD471954AE01166262309FECDA46AB92EFEA36920642966BCAFDBFC4DCA6D5A736FEBA957E62A3F1F03CFD7A77412B112083A99ED3597675762D228F5AE4D1B162BEA7F5B30D865AFF9589CCA2FF9341D3687B1A169D8D0FD6A891562883A98E32BED2BFF00E77AC503535A94D845D7E12CC2A5D664D3DD1072AF52DFCF737976E691FC682028DCD7589BBAF12FA5E022663ED5554FEF54D17611A7B850BECFD6372A57606956FEDECB0DFF00E44B2BC26AFF00F5B57702CDEBB5F9B29B36EA1F1AD6CF64AADD1AA3A5162262B9AD6F30DE368D68EBED6AAA6B7B3D7DB3FEC0BC3D9695CC53D8D28D5A6B72DB450A761070D57089B15709A296D735ECAAE98EDB2360A8F537F1F49A6E945C2D69EB1CF33DE6F699B767D6FAC6A80FF5FE3B5FEC1ACE37A8D11C1B65D2DA369393760D6BACD74E53675C7C9B806A68E919AE061756BB426958B12961364FE1ABF86C4B691704A1D271C4F6B48BB4B577AAD9D2DE236D6AFCC920CB2DAC4F5DBD5D765BA449F6949BF5FD75BDF59FB50F15F30CD8F15FF2839026219B8D8D6AB35B521EDBEFD25D2D94ED1F1C9D7134BDADDAE3FC362DB47F5B6F59FF001A5E56F0BCB76C6CDFA8839A8FC6EB5AA8978785A7B9BBE3F5FA6AEEFAB4534CBAA4D9F60ADA3B55ED6B288E040253B469AEEBC9B754E6AA2CC4AAC9B37FE256DD7B75BD85B5D95FB35B2712EBF236A5FF002647FB4DFF001FAFD73C557746BD6765AAA8A622E41BF10642B39966668FF02031338B9914D96E94D63EADDC5FEBF5459EEB5AA5FEC27B1A75C114FF00B6DD9BB46BFEC1B3D65BA2529D7D917AB2963C61EF2AAC1A5FD7B2B7B04E13D3ECF3AE93DD14327B3D14DB1A9559AB284D4B12A5D5A50D06FB788542401EE367FB9BBABB4FACD67B06B65747CA0ECBBC71CD2E57E5A3B675CB6D5564F6D58E1ADB075B635F612C1AD7623FE4CFAA5A534EED5026FBCA28F8A59E3DCFB11AF55BE757552C4AB449B7D96E6B68A4E05632ABC6A51A00F558DC37752FADA96D4DB7D73ABBEAF2AD90D28E2F11567110F69EE7DAA692586CBCDB462B5D87A636DB9957F96DFB35ACB2BDDF952E06569522FF0065AAB7717E601488ACCB357D85A934BDA2CA3711E7F6567B4F7756954D6DBB5755FA93CE6D028CA67E9AAE878D8788A0298F88F7607260F5FE54BB547A20C4AD88946C5AB2CF606B4B2E6D8B6A181A67B2606C7BA0AB62779B4F88BC3E27FC9A8002DA3E48EB86B12534AFFE3D7A76593E3E05566313E5E31ED67293C5742F0A36DD85DB96FCCFA4BCAF6B2BE4F67E218F2AECC2FC8480DDCAE5511FFA4A5A9AC7E65463A59D2BFD9FF5AC37C1B3CA5BFCBAEBC75B8996F8FBD717F55FDEC94FF16C7E94F9E9674AFCC3FC77FF0023FF0028FF00F344FFDA0008010200010502EB9E99EAA5634C43384F8C465FA10FD599CA0611A6672999CE7C903CCC61184310F7EA7A3794584C63F4E2627899ECC7A2F9E84F55FDB11CE213F5995998CC780C10F5B1A03DF3D9BFE1300EF67959CA37407A30C4A8E43FFC2629FC5FC980C680433EEC2226237D39E9CA72999F6680667C533DC18DE5AB880C07B74C198FA7818441E184485BB388A6379432D68463A2E22B88F887AAB609B04E66661681632C2662344695F767FA4F52263A18EB8959C47EC2012DAA0694B60D83E93F4986130F8E795304063D59E81B20FD42667284CFBD9884CFFA904447826614CC45EC7E8F30ACCFD150CB3CE398064E7A274C411BCF5C19DFA9E94CB3B4F933391117A084F7174A4CB97BF456C42DF41E958C074CCF8E667183B4532DAF3024A0C65C823AE66667A18A208EF0BCAEBCF4CC10399E60FC4AB663A661598E804C74033D15A15CC15CC740B1ABC458C4CE19159C74C464857A7280667807A2741E7304782049887C807A1E844E331886590F8D7862C3E44783B4114C63FE4364CFD00433EEDE57C56311A080746138CC4CC27F2F27C751D1A087CA45F07A0821E9F65862C783A0E8DD47813FED3FFFDA000801030001050298988040B31D595A28998077E7058629E87B42332D5C7D2AB3138C64313A002769859C04290AC530451897AF69999883A2896340B152621309999CA07303E663BE3A5A3B4C445804FBBF652D2B19E863743D443DC41184748220E952C61DB1DD3A1861FA6B318F61E0CE32B19331D03CB17053A184C30FD00C2B963D1A52B18C1E3EC8D0B0316198850C2A663A0AC99F119C2570C782C8A3B32C4F0964723247E5D18CE5331C41018CC262219987BCE3F956F1BC278759421110E618F99652C227210471DA30CA8A984C289577E84C5695ACE588B1D3BDA78A55E0C267C82334410F88AF885C4CCA9B050F296A6457DE010912ABB1312E4CAD0DDA3084744EA666089E42740983D184AEE999C78B43184C40311A1F2AB986B804594E619F704347486622BE23BF71D08807534CCE27EC3118E057E19B13381C7A3C10B4689E3E8338BB4FEBCE1C63F9B3C567215310AC6CF551F89D7EF7CD77C884CC030510A308C18CECA33DE59DE23E20B232CE50F78C2536719F209B03B23F120E7A081A330332B1DF3074695D7D956596E2098861413183FB2B0C4AECC457CF4318CCF41DA11197B0B311AF9CA085A25D98E228027C98370CF40625B0106324F8E71C45EE474B3A1F18EC624319E660FD491D0410319CE72C95954FBEC798D07832B11BBC6118451FE21599882626616CC13EC9E1E58D983A3374569CBB6611147E1E079EADD16183C591BC8E8DD1609F77823F8AE1E8DD17ABF933ED3FFFDA0008010202063F02D2C6FE571D93EA03E1BFFFDA0008010302063F02B13C49EA6C5140E14D014366C80879B54D7A173C9365BDB078F63D87ED66C8D6CB99BD072452182FFFDA0008010101063F02EC1B30E2766F4ED446EDBE7B5D5467AA790C0AB9A308823DC4A12FA6A113E51EF2B56FC934B029C06284863DB36E18E69973697CA264C9CFDA6FF9CB52F4AEF2CBC930BEE0137A6A54FEB7520309A3A7CD4E0843209A1171BD5633B92DFA999565A4F797475113F76CEF07B040C577A37A689D46B843061DE9C120A1593AC7C7B2D2089B1CB25A2E3E2BD48F4363FE57AD1C3CC1063496D75DC1377AD5F4934DE4D02FAA47155A442C3F421F9301CA4D50B78D9BD1D51E28E768CA5EF4243A41A1E29AE61B348D9EA4B0C22AED8356E788DEC1737521DDFA372043D28A3025AE5945B0841CFF0022A301599C7E2B987B765735180CD088E9B50250FF00B443C3F705CAFA6551DDBC2F1FD1211B78312FE0A51CE6E7E4133E9904D3E644A75EA1CA0A7A7AC865A22744E21ED1FDE3FCA1298D374758F9A75CD45D4B16E0B9640EDE72CB95CA63CAAE9C194E72A3547F1011BB2A199A384FA7D853450DEEAEBFFAE2ECBEED6370F8206D83EA6523434F8A6FA8D5782FB8744534F43FEE2B5C6DCB4FD50AAF52DCB5410CDF63CCEA96355C92B65B1029F15E9F9B726C44EDC65F247F1C757E41D3E11CD42DEF93A94052D809D6A8658A909613EAF02BD138DA2C3BD19CDE9BF2467E9812C04C67C1385F6B139EE40932D7206BB8E4A27F25EC5FB5097DE8CCF3C9E943DCA575B4DD8FF6C474C81C24168396C91EA303C142C7E4017AC4273909480333ABCB45FF00A2C1F400938864AD5D90FB738697F0285DB7C97460A77AFF002CA1CB18F7237246A7109D538A07CB38B21290D5002A7BC263D7759F8A6C9326216024AA045969408CCECC58A6D41B65DDF08EA8F8840C6938D0F71449E5BD67DE111B0B54AF4AF7F5C8D25B9424FAAD4F13BD4A4DA8C082B8F6878F66EFF097C17AD627A44B18A8D1F515A6D4FAC381B34EC8465CF6A8E0A3506321F152D1D13AF143B12B303C96A92237A6DDB04B119EDFC897EC23DA84327AA78B6B635EF2A65DC588C627C5961E8DC8E4B5C0EB8FC1315A4705A09E93F14244B890AA89EE4366919A9DCB785CC5032AD72405A1A89C91D78C97A77BA27D13CB669CEECC040719295CEA9E108AD313CF78EB9CBBF648794AA2077A6DE83E4A1E1B1D34CB2695C8FB573CE1C5389C6B946AB5185CD233644FA5285BCB506E214357535559B19446A420ECB5DA9FAD6CE20AFE9B7AB7D4262139555BE3318A898D60ECB7307F6AF4CF543610AA48943064232D176317C47326B9F8BAC935217D8FC56B9FC7E6535CC751221945D691805E0AE5C1D2ED1F009E356427070E2A14AF47543B82E754AAD2B4CEB0508DB6237A9CBBA284FCB8142512E0A6D8F1C57DB5D71B7E017D5238C8EC36607EEDCF704F932D72F7216B5698E3291C95BB1F89A6721D5E1B1E1CC366284AD973B9107A998AD12C42A5607108189E1B01EC691CD7E5D3146733AA72C5537260582C54AECB01B394B32D331CE3CCBBD56B25F6CE192F5063B1C165CC7505D49DD62A875DE97443E651BD7A5AE72A9289DD2D872AEC1F55C2FB5D394C0556ACD6B382A7639664273324A3724B823B9D4AD9E0A206245501992C84079518CB1288180433DE8461866996A52BBE629C609BB44A1F548B95EB0A0409C50395B06478233359144F72754C53E1B2B45280E9ED84C139E0A314595DBB9CDA11F9F6386C082978047B43645414BC55BFE6767FFFDA0008010103013F216CEF4025094105BF14A99DCB29045620AA32CD69F2CC0C9C3980A8078F788D51867D4315C30ABF35FA9F5BDAF88F10C2B2B003EB29EBEDD1FA8790846C0C363FF23A254DC3A06630D64532ED2B2B6B7EE2586DE7DF29750D8438D1F9CDC30AECEEBB5FFB118E64A67E6A26D6D07D5364775E37D254C8548E11405FAEA5AAD19E27FB3414D602F144A21D34AB264CC3082B1DF100AE7B79264A052BC4132FC678986D6D7D657780D5F7771E34E9FC8A7DA57D0596D221541BB4B20E397941031D20302B24AE14603C3F3598D9ED8539BAECCB456B2DA8F0ED2A3F78709B87A5585F780313B912971196B77DE30777D84AB79CBED5FB2627BA4F779974F14412583F308554CBA420222022391989C73FEE57D88E70E441130D0F14C46760FC1169B0639E8CE784981356CB10FED3B95B1AF95A0C0DD7B586206054BC8C54C6A3E92E5F40A2AB7DA706A39CEA925DFBA97F5ED0FF00143E05B16CC13B451DCDDCA17824CC03846FDA707591C3CA7B8E6A379CAF2FA7ED0A05C41B2E1CF5930E87982D724B4A615F77986DE67D549858B7241E70E6263A0885A8608EAD9F7089E99F74C474FC360E7E3B23B80071D98A7E1895583820F552B2C6AB27C0B2AD2D7B4A5CE74D58D55AF5716D1FB314C89EFA8BFC37F6D3074C50ED11918D088DE764A2483A76115E9A225CB7FC60A0C9B7D99B995CC4A5B278F52E7091B57E9758F694E777D1CB0879A44BD69E20E667D8C734EE241F4BFC435793EE600D3F2972F3DC22507B9742B922CFA8B828ADDF7ECA9641B11EF58473A8093767E989CD34C7782BF70C076AF530265C317EF476EF351D879E37ECC64267D9AB6A0CAA11AD07CC26D2BD28BE783EA0B1AC26F0D3FE113AA31695EC972BFD451BEF6AB58388035E0607FEB2867CCDC200EF1F16688A8CE4CE31294DEE7282CB19BCCA45D55BF86F111A50EC5E880EC98E925C289471E1FEC7D52DA3ED2A9D92D5D367C406417A9C0EE2E950F21A7EB2E9AF816D5BF697FBF211E68556A52257188AE03C5C200EECDC52AD6A2E2144BA06592DF6BE936C7D2A0F685696EFACCA913D1C843F4CB135CE4289A370DDDC232508F6962FEB2FF8C045F50685D935540F382B10AFF54C0F5339EE5488A9BBBC3A788A1F5D6C6125D1216F21ED431E190E6F731C8D93384B8B23BC492C712DBDA34DE66F9258E701F6584F984FC34BB1724F9C09AA60B8759650672065ED8249B558CC5202065A3EE09632D8175C4F784CC6731F1063009CB800992415EEBFCC60ECA1AA7CA9B528C95AC0F29769DEF1827A9548017E19E528B0198771B27237DA37196FB1655ED06397D66AF15E589DAD290D131952795E1F30830DE31E0CC33F1793F51825A7602F2C61CDAF6B2CEE698734A63A565984166B6BDA086D6A868B0A17332DA429C4ADF0253AA4B6D9D80F194AA785A7E66A64C25DFA47276E6C25B19DB5C7164033508CF5948F2C3DC7CCA6FD4D78E6C66701D86CF8217A18DC492ADE105894943866B7A7A45B861FAE2127FC882086FC29F8CC315F64A6633F055F77FE4CF032212D65392929A6E193AA48AB6CD44BD40454B8326714F91E884F39E9D2769802E4732C266CA2656555AEA5C6E9A43466730DC8F115B01D3C3A65C8605BF192127C13B30CE456AFA4C32B61A633F851AD03B337C077B3EF0CB97CF0C5505ED2A69DDCCCE8825B5783699D4B218BF13E70D981CFCCB14BD5E60BBAD8464A7982342FCCA3D2E7BAA1A474BC9E7E18A469EA67A810BF66946F3CC000E254E276A022CF9F04F2C4489B4C20A66398566614E7185711F57EB029ACC9AC1A866A3CFB970BF29832D37DA08FBDC3E605056FF110C951CB48E4958313F32F1783C4A6E5986E89EE38A8687DFF00011F92ED7E08B1327D89528280801B10F76E713878B1F5C4B1A270176D30C2BA65C182B983427BA7BC33308B46E0BDD2ADC44571438881F518A060D6A30B6BABED051EEA206F0C1ED6F94276A2858E90F980F4C84218324BA6B48E9DD62153572436EC9594F986B22955D818FF00697B8E6B29314258654971360EEC319BA84BDA6421F10454563092C0FB043D92C45DFEEE56ADE84277203396D5312C9ED2CC9B9BCE5C730B6F76EBDF332FDEA5ACDB1308EBA6EA7DEC0FA53802DA12E534CA780D4BA7088F1BFD2372B37FAE8E3D07DC13F7CFEEBB741BA3B8EBA79E8399F87F89F60CFBD4FECFBF47FFDA0008010203013F218B2E3067A1B8C46CCC54C2E971518994667C4A867106B12DEAC631AF4FFEE8F164B4532F2D2C4EF422D95333E90952A2E8D68420EAABD2A543A6314709632B350D40CBE911D41725E07504204A9504D91CDDA6D2E978A2C37380984FF1A4210E8CC1B9F5D05460F4AA2128B65E2FBC75FC5010207561C4AAD15C2A60315B5D2DEA5D784C7713AD5096422E523D1EC8732D54C79985A679AE5DAE250F12A9DC40834B44831810939B8629CF68A9BE95266A9CD2F2E038226108F945C6F5D0EFA6E2388D54C2A545F8961447D74AAC55F129313E8A6DD2E530B8BADB072A1B8AE59F0C442E2C44A6C983A1E78F41FE01C425752E289521F5932CC0D4261A65233E2E095065C4E8311A43A434881119929DE69F513996DCEE972E7C89BC4EB60E80E55CD4BE99930BAA7A53A5AAE95B612FF84742A025F58DB1DE231713B980A817D0E4D824B2510F5C4CB972FF008228CA9B8551CA45681B9B24437338743522743AA3A2D7A546A62B89758C6DB8920258332D1A17021E3D412952D4109960C1C70A8EE0B2D623C4447726A4B88871C835D0CE354741899C499482E66C4CB12E6012A634EA144830BCC151E609C934E8EE97D2624598F9477D3D08242FD6A53D47724C2529AC1899E2625B306690CB10B38D7417D6FF0004E6C51B84BE9D26BD19D67F5DE6DD63F85CC3A5AC36E9FFDA0008010303013F21A6107F004084DC352E234311DB4B9112FDF4E6E92B5E23D081D22FD343B7A8335F54A20BAC678A29EEC537322687409D7BE10C2D88B1FA4FF04D814E7EE58CE142799738908B6510CD22C92A8D930C7517A2E5C5151C8964D3A4704AC958996D2D641EDFC488C7A13357794FA4D50B1BEFA06A36A2567D40ABE9063D62FE019532B8823A8DA941D03DA55A99208A828E85F4C28C54D04AB7164FC51731513C134E504DB3BBCCF6915965CF24F69963A3B4C539301B5D1CF138210086EC41ACABD2642033E82E02BDCE71709F0F4235D1CE4C24808A065396139E85E3320B96A7CC7514F4859921B9A892AE3AC4722643920B7445095B536E95643D5C3A1D44CFF03AA50DF8ED05B8391B83588B9A94C402169995A60C1D026B4588E0B1957406270CD214AF10EF3D2AEA764AF4CC0ED163AD54AA658E277E64C46AC233633007D6548E9ED856698E0A2FA56AEA2C20C0D608F125BB209EFA0E810A09A417315A2D47CC361C090D7C4C0F68B324AF509E538C453860D83EB2EDBA3B47D65E5905132F05236A2E0EA59A99CCCCC11644B9A4A20D989F1D65C17D22D932D4D18A15D403152F0249DD312422E3A89191BE82274CF8C4E2165506229A946B6EFD01FCCB61E841288DCFF0C08DE0D91E239260CB984AE1D1091130CB0DC77688E822E99A11CA8311620E9D67C4C3299B02A1D094339FA0746B074631BA0E24D5E2462E4DE2E7A432A99C19CC1D1332202BF89AE25D83A3A5A75B379A43F9107F80C3A3BF57FFDA000C030100021103110000107C2EB2954834D3A1215E385E0D4FE6B5728AFF00C85C9C12AB29EDFA0EFA8B1E599834416C91A3D45713D599789725B83CE1E1889358543F63E44646AD67BFFDCBD0357B3193247A619DD8F23C1A8BB8A1E7EC57C192A0C4830C929A52B2FA1C68C0EA7433CA1D61BF6BEF39A4EA2118B8236953657933D44D4A2848F766FCC16DA83A2B3DC58700289C730CC6CFE79A463C26123F78AC49C726A931480C9C42A56A9D04D409FFDA0008010103013F105325462ADA948AC4B7B198EE5C00583B0B7983CBDCD390B9B60BC3FE43320A6C09F1080B92D84094D2E58B38DF35719F2E256336D5A2E415D82A2EE5D55EE1699C0A617E97DAC62718705E76C5F736192D726B5DA64DF46637E7222B48526EC5798BDB5629C0DD2A3D9C2E8ECF243D3354F84C47B8337089416BC446B506F278298F0329AE6D3839CBDA302AE09318A4A0F6BFA47059802FBCBC4466DA966BC86B2DE3E10B9889506028E0E1FF00D8E973C5ABDE1C4667514DDA32E74C6D45E1D8B5A19E7C472AD73A975B718E226092F22FB1B572E3C464156ACF28F23D12BA3284EAAA1C32A832A42AC21A72988E850146D93612E8B2C587642A205A6E3DF5F98946C2CD11D2DEBE9330EBCDB767BCDDA9F76985EF05DD7996E026A906AFA6763B4666C044F2B59FAC089316E0A6ECAFEF30456A14156790D32920355607B85DB100A30917406242A264D0F66079268FD86B1EE5BED452EB8159AE1A6524A899D8387C2FB4CBDBE634D638D2B1452C9D58E3C8C30BB1E606D4E2BD83CCB5D48CF96F3CD407B660ADD997E910102C1D90F45AFC11F6A8602F23DCAC7FCF280571DFE91118C1AD39F3F5948003B437CC2D3B1000A80A404A1AC71052A154CB95AA9A41C7B12D60F5D008C6B6224A30BF8129A659C0C359073BA7273EA1134D4283CF1DAA041B623BC047237C7E2240CAC1F87FD99D27EB40BFC5EE2EA415289293CE1C7303B6AD73E04F6542C0005050B56FB95A1B2A222A27B04BC399DC62A3A45554F2890CB39744513E622250110036D9A52F5B16628838140F1ED097181568CCBDB04690968357EAE213603CB2ACAB4A7DE3F5119052F00CDBF48420F1A5A0E55E6A199489344D65E09DF7517119306D1896256794A6C164EEB87ED0C818E3F331A601A8825CA92F51912DC4A7F49CAD67D48EC9C1EB9571791522F757DE0C081C0DFD20BF13046EEB37D98BA86198B656309308C80395755081FB42B08E526DEC81F994C2EB2D93DA7B338E61F50D80609A53063FD1335D05B625C590370855A0480346C9C51FF20647FB451103442B4E7D12A0EE80D2D634D4A58730033866AC8BA17E112923943ED5B9D8A06397B1FCCA4D065E104F632BD2D8B462ADFC7B968A1C82A6C546BC4CF1BB76269BC403914BA453E8F88C6300E315A3F2B345E3906B47DD5CCB0551440BBEAE98B8011680506DCE10CB2F761C0C3118B77EE338124077AD7D582C446EFBCAAAAF061ED164D10C86342C34A2B45083697004117A645E58BAECF883828323F282A3144E46CA09DE69A2B467D4075AC5ED61015F1507871071D5961F8661911BBA87D08E009A640C34555FFD4173989B2F382A1A66668D0800F764A22A086511E1B854AE89762B0F8DFA991ECADB0EF81B31AF11768785AE710549CA588691B1A2FB462AEC10FA395F1AE0DE411AEF2CD42DC294F4E5B9625FD1DD2125ED8A4A4624C6B13B49E222303CE04142EA9EEC663F4AD859CE7752B4582A0EF5C906D5859227A819E61D2253BABB1284BD7AA690AB21A43E278697E316E3B46E3240FB2F9F95EF09E10B6C3251DDD5C382B2C26D683C56D96EBA7D5E08324C540A5B1751FA5A2C84298E108AF144AC1057B6131162A3815165806880AA8556B17462C89CBAB42AAFB7CCAA0270A50D6CA26011D0557B8B931D2DDE779FCCB2C39686046CBDC628646FB2E22E06808C2521BBBB57E6128F7D5F66016AD3B6A1D37BE2C3AFD6AA3D09B44FB479CF7E603026F80398EE6C99E0B2C63018EFCC685056698786CD5553E60868EE755AAF43BE25060285204C6071490804474C95ED51236E2A1ABA421AA392AFDA52FF00D590CAB16164CE31970E48D7DA1BCA06FE603F8045C439ACC5471371F0FA145A04E619CD1A7C41E248760072F863B2201D8552AF8E26197FF30CDC96DE4C473860D89829D4A81A6D818BB392276F2AE554F854CF0CA22D6F06AAE0761E65393B8F52C05ED08480C1620073899804018179781CCCC120EF9FCC428E43101391E60689F32BFA9D1A6BEAC31B8BDA2FAE6BF98A3A61192CD55F170D74BBB1FC01B8ACA5E1DC0F642AC0D5F167095BB88D41CCD0E7C31AC554C3FF0063696FB2D3E18390B6BC1C2BACB6799FD9F611BC66380A80DCBDF8283DF102BA5778554596130EF15514F6D666D3B9DE180390252CC5420C1E896099BEDF314BB24B0BAAEE9DE66462AD9C76BF28C48D896269880C52B92B7FC40170852AD7BBC9302648AEA1780A8DE96832501F83D4B56A4366E2A94CC2F3EA1AE5A85F26DAFB4B73C819155D4B19202DBA01B7F107881FDAB5F56210C10FD09CC370A7B2BBF96A555496A11C732983ED4C4FA2E668CF322FD809705A102D6A8BFDD88A9E835DB28E5ED052A19523B80A4C3B9705456CE62838BE7968BF88C9A6A25A410A74CE0132989CAD0FB3334DE8AE68672A5F7C4B26DB03379EE7682B7A5648D060DBCB54C20C836390C7A945CC6B74BCAFFD8E90115159B0FD05891F0E79E0C425C244BA8913BAA7EA33D8CAECF934FCCAD6816EDE194A2FCA5F9E9B1C290196CC73455F02CA0772111042B47305A39C1C42B80AD145151D00CA7006597F116DE47DD370E9BF90ABECC2874C7E09761DE573086FEACA53884D557A6B350C8842CA6EFE92C29F6097FA97FD542F16A3171B20BA6EC14784E25C300C98EE3BD5EA28B6AD4C3BBE92B66A888FB1A995552D9677FBC2A0D586554A5BC91F6C64B4EC94D8EAA3A3B84B4F5095BC67376C68F13C7AB1D93C82C14AAD35014B430F2E5633162C17474463000428D2FDEB309049529A0B45E5802AAAADD8BCCADB07CF9C7F9183DB5C8F24A682D382738B8828EA1F267C244607C6C2BBB925B29556A8E47B309D882ED7B2659655DA8784995445504BD76831914D258D559101A5AC518F503C83E202BDA7154FB9089E208CF8796B7759D112330B5E4A73EA155B6156E5E2660B76B1B6F9B4F7119D36B1AF38EC788D80B78872C4294F351D501AF4F0D371E7B9C8C61C667341936E4688FD5BA7B154826275A01C3D9F0CA1223C407C8629FB4AFD666C0869195FA0CB584C9B370C0238991C55E605472143F7519DA841787813FC9DA1BDB06C0D01A08FC1463C09418015B8D3BC91CD30499D19CCAAA33A9BA387D2983B640724CC3A63B591DA97D1F588CC02AD1CD25456BE5EF149A8EC12BE2BB458CC2138A6566A79E189A7460C118055DC6A53F4260B1F7B89F51412CFC544A2DAB1682D199DF385F7533028DF93314E171762CCB5F30E11AD39CB5A9F7E34101F980BE0808801DC6088032D04EDBF518C9AA0ACD35B8ECC9D0E29D452EF6D300131255D352A03095EDC403B01E790FBC460091C2F7559970B669808C7137A6753996A55E2F10087151F58B8E5D7E232AD02EC347E20F6A2D3B43328C3C4392A6B6BE5781F227333100A2DD5F6FF004C666663D84A11A4DBF3B835D97676C102D6A639130AC976C11C478D15674C58B07C945948ED1559C44986B8DC0BB77252E952B2EAEA19BBACA65D5251D8A010E6B898037658D09C3E980415840DF371B35825ECDC3B36B5846A616461549F7AFC746FFD389A7DBF99FD9779AFF4E27F47DD3F3E7E07E19A3A3B308FBF21A4FEAF9CFEA7B3D25FD9F7747FFFDA0008010203013F10B2047A4C96CC30448B8EF1730807A47F24EE841330FD44A0ACB09C1EE1F58B08E968ED7F129676418B1451AC0102EBEB570CF7F4A8C6CF7180386A6F266163697C4389980CDA6103D5C0CC3F04CD8547833EBA28C2266A9B61A903C7CC00ADFF007717C4065DC21BF412E232B7242DE316EE1FAB1CAF8E8314CF2DB304CC0471E2600DCB1EB10A108E850A7262583C953121EF880F3B81172825CDC7383B5B957C362115A23EFD1E97D4B82620E25C93516BE5A872B3028E806CE806CD6D546DDAEBFBEE2D2ECC445FF18AA12A096A86D1948BE0884787BF0A31DE35AF95CAF94E7FBE229871C3336541C61D22A94A806E0BA88713383BCC6098B66255FDD89B0372E5EA1C872C655073B7CBFF003640F2D4729A0990058740A997A8AB389342C4F916C15E2FBC64F094DF9669442E8140E3F3068E933E1E6260E7F2FEE1A5DF4C77B857C23898082E84A989808030BB4988EFC4622B963CAE330E60834BCC11E92E6A5CCEE33AE5455152BF697BCD7E10C7305C4B27C72E62E618A8100D245F30D5799574C31ABDFEE97996B8DCBA8787B87894A2A921EDC32A1EA1CC197C75D0CB047D38937AF3077A34C4BADEE2B22FBA5123570171D4A0B8F1A65759995F7BFBA64E8AA32A65E625CD08B20CB2645E63074F118628FC913E514284E244790EE1BF754A51C20AE82A04001E20D5906428CCA61C6505F02C16AF7A256F0E7FE41B13809998D4B063302EE021DA072515F8856E3773745E81750E2189EEE090EC2146E133F82A26020D45B8A9630AA260B1214A0DC5098475014C353639596C9A60E8CE646AAE64DE602B56C5EA6BD04976C2C9FF0092CA7C63521CD7C79812A4DA4AB03DD41D70DC6A9DD8753848C53D0629012ECB3B9A47F14EC951CADA3D7BFF0026AD8187CC0969DA1E18311C389B020E87710D350EA73F686F9868A4ACC260C086F1111A25939D76C1392520F331A9302933CB1DA0DAB445FB1029198EED12B18E733853291D41CF169884DE9ED0DC951354363C13630CAED710EACDC4B171028830B981DC3BC16031E6496352B4A582589586A05116611961A2DCC0AFA5CC258AA210BDA38BEF32D3C45CDA21F514E22CBB99C036CBEE191EE0D0688EB6602207DD426012E04B01E222A595A771C09A8E2A4A27B9AA8E153286E2CC16C4D2CA5B72A63B880E48D5BE62BED332944FEAB73F04F54373DD37FCFB9C751AB7F134E671DCDA6D19A436FE9FFB396FFBFA9FD49ABFA7C789F77CFEBC477CCFFFDA0008010303013F101A3F42D84666506F7986882C8B1B022A1A54B8388015707DE297F68A200D4B628668F67799536D410209630F98FE845867E97FB88CBEA5F4C1AA9973059DA15D0C519713D04B1913DC2417DD62C6C44F0E2014ECCCD01C414D84C4007418EB7EBB7B8C6F31AB98019953D05916F110B1806B0829D6184138231ECC637D3B50051A262794FECB72C5733B6100236A3AE928C0A28D9100D85C490E1D4A1383C456B12C6672358F00D13C6199E70CA0622C4543D4D2074576E854AD39847993F51CE200B1D100C65681401A11076199D34E4FF2257469D6547ACC2F989C53BF5B822541569AFD40552DC92E1E1341B497AD3147BFFB2BA2AB8ED2927846C5B82659311A2E1D631025E10AB3308A2D11848A75D434AD3C66580F067DCA18EACE0B8417CDEA04636C71FF001985E96E60416D94F6410984362185C630D8860886A144D751C55BF13472589C9A99D5AA8D6E0F6483939DFA6366DA43CDC1146BCF12C2BB85DC1AB660602B9ACCB5A9E6632783FC975A3652BED4D5EE5E5C0778310DF310133B3EF1C61999781ED0F860B600A350049A4FBC3E8B19F92064DA94D351F4F8B2D46EC56165DE1A128DC67573336FACA382392733397B3B42A9883A04A8C421EF2CAE5A7B302EDFDE2068B4CC043B304B894C6B863CA50A0AE856C193B47DF9B5197752EF47645C9CC35A8B6A838E4A800CEE375DCFCF3FC03CF0FCB2B8D89977C457994CA93E25A9B9CC4E1025CFED294E0431B20A5A59F29E28996E44B831D4B26D732CC9CC32504B5E2500D483964A597636D131CDA5C12B30CB918AAD732D43642351C7BA298BB600178A9A6710F515B70267AE980B079C4170D9F586B05ED116A9ED0B633B7FD8CAB51D8FFD99304152266CCEDD2561C89B99102C9AC687E6643BE8100C2867C261208A2AF2666800F72D815F3FA9BA78AEE7D76824B6C0BF998D344C66D2842590979AB77E20866696598520520AC84B3C443E0C20989520A867298617CA69E8ED2AB10F03366BA2C500BEF02A297B7882D5EAE364EC80649AB6232A1D2EEA39DC47FC768361804C4482452309516EF8995C3807B224AC27611326E0F6AAA2D04114BDCCD72A085FE218A6E21B88ACC41E3282CBCC452D5426F6E0EF12CE1114F9FB4702A1D0A83BCD44C44C5620171500A05B3CEA66E609AE95DA391861B99945896218FCCAD0F78765280085EA640712B4ED15B5001DB1D838E605528A8D937FF62B7C4174F45A1D142A5752E95DA3DEDADC37193999F102CCA457B441B846C332D6189A8C1736A35FE88309B5C5875D2350E48D690B2632A6A56D5363F12A6ECDBA9E9D4D89ABBD7C4D9D3F19A741362684D6699B7DC35F709FFFD900','Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German.',5 +,'http://accweb/emmployees/davolio.bmp'); +-- +SELECT * FROM [Employees]; +-- +-- EmployeeTerritories +DROP TABLE IF EXISTS [EmployeeTerritories]; +CREATE TABLE [EmployeeTerritories]( + [EmployeeID]INTEGER NOT NULL, + [TerritoryID]TEXT NOT NULL, + PRIMARY KEY ("EmployeeID","TerritoryID"), + FOREIGN KEY ([EmployeeID]) REFERENCES [Employees] ([EmployeeID]) + ON DELETE NO ACTION ON UPDATE NO ACTION, + FOREIGN KEY ([TerritoryID]) REFERENCES [Territories] ([TerritoryID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(1, '06897'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(1, '19713'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '01581'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '01730'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '01833'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '02116'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '02139'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '02184'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(2, '40222'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(3, '30346'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(3, '31406'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(3, '32859'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(3, '33607'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(4, '20852'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(4, '27403'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(4, '27511'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '02903'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '07960'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '08837'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '10019'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '10038'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '11747'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(5, '14450'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(6, '85014'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(6, '85251'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(6, '98004'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(6, '98052'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(6, '98104'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '60179'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '60601'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '80202'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '80909'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '90405'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '94025'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '94105'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '95008'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '95054'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(7, '95060'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(8, '19428'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(8, '44122'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(8, '45839'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(8, '53404'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '03049'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '03801'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '48075'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '48084'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '48304'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '55113'); +INSERT INTO EmployeeTerritories (EmployeeID, TerritoryID) +VALUES(9, '55439'); +SELECT * FROM [EmployeeTerritories]; +--[Order Details] +DROP TABLE IF EXISTS[Order Details]; +CREATE TABLE [Order Details]( + [OrderID]INTEGER NOT NULL, + [ProductID]INTEGER NOT NULL, + [UnitPrice]NUMERIC NOT NULL DEFAULT 0, + [Quantity]INTEGER NOT NULL DEFAULT 1, + [Discount]REAL NOT NULL DEFAULT 0, + PRIMARY KEY ("OrderID","ProductID"), + CHECK ([Discount]>=(0) AND [Discount]<=(1)), + CHECK ([Quantity]>(0)), + CHECK ([UnitPrice]>=(0)), + FOREIGN KEY ([OrderID]) REFERENCES [Orders] ([OrderID]) + ON DELETE NO ACTION ON UPDATE NO ACTION, + FOREIGN KEY ([ProductID]) REFERENCES [Products] ([ProductID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10248, 11, 14, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10248, 42, 9.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10248, 72, 34.8, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10249, 14, 18.6, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10249, 51, 42.4, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10250, 41, 7.7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10250, 51, 42.4, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10250, 65, 16.8, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10251, 22, 16.8, 6, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10251, 57, 15.6, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10251, 65, 16.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10252, 20, 64.8, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10252, 33, 2, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10252, 60, 27.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10253, 31, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10253, 39, 14.4, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10253, 49, 16, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10254, 24, 3.6, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10254, 55, 19.2, 21, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10254, 74, 8, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10255, 2, 15.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10255, 16, 13.9, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10255, 36, 15.2, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10255, 59, 44, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10256, 53, 26.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10256, 77, 10.4, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10257, 27, 35.1, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10257, 39, 14.4, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10257, 77, 10.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10258, 2, 15.2, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10258, 5, 17, 65, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10258, 32, 25.6, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10259, 21, 8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10259, 37, 20.8, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10260, 41, 7.7, 16, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10260, 57, 15.6, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10260, 62, 39.4, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10260, 70, 12, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10261, 21, 8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10261, 35, 14.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10262, 5, 17, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10262, 7, 24, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10262, 56, 30.4, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10263, 16, 13.9, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10263, 24, 3.6, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10263, 30, 20.7, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10263, 74, 8, 36, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10264, 2, 15.2, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10264, 41, 7.7, 25, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10265, 17, 31.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10265, 70, 12, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10266, 12, 30.4, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10267, 40, 14.7, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10267, 59, 44, 70, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10267, 76, 14.4, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10268, 29, 99, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10268, 72, 27.8, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10269, 33, 2, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10269, 72, 27.8, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10270, 36, 15.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10270, 43, 36.8, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10271, 33, 2, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10272, 20, 64.8, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10272, 31, 10, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10272, 72, 27.8, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10273, 10, 24.8, 24, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10273, 31, 10, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10273, 33, 2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10273, 40, 14.7, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10273, 76, 14.4, 33, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10274, 71, 17.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10274, 72, 27.8, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10275, 24, 3.6, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10275, 59, 44, 6, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10276, 10, 24.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10276, 13, 4.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10277, 28, 36.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10277, 62, 39.4, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10278, 44, 15.5, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10278, 59, 44, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10278, 63, 35.1, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10278, 73, 12, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10279, 17, 31.2, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10280, 24, 3.6, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10280, 55, 19.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10280, 75, 6.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10281, 19, 7.3, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10281, 24, 3.6, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10281, 35, 14.4, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10282, 30, 20.7, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10282, 57, 15.6, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10283, 15, 12.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10283, 19, 7.3, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10283, 60, 27.2, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10283, 72, 27.8, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10284, 27, 35.1, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10284, 44, 15.5, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10284, 60, 27.2, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10284, 67, 11.2, 5, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10285, 1, 14.4, 45, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10285, 40, 14.7, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10285, 53, 26.2, 36, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10286, 35, 14.4, 100, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10286, 62, 39.4, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10287, 16, 13.9, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10287, 34, 11.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10287, 46, 9.6, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10288, 54, 5.9, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10288, 68, 10, 3, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10289, 3, 8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10289, 64, 26.6, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10290, 5, 17, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10290, 29, 99, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10290, 49, 16, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10290, 77, 10.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10291, 13, 4.8, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10291, 44, 15.5, 24, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10291, 51, 42.4, 2, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10292, 20, 64.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10293, 18, 50, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10293, 24, 3.6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10293, 63, 35.1, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10293, 75, 6.2, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10294, 1, 14.4, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10294, 17, 31.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10294, 43, 36.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10294, 60, 27.2, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10294, 75, 6.2, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10295, 56, 30.4, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10296, 11, 16.8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10296, 16, 13.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10296, 69, 28.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10297, 39, 14.4, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10297, 72, 27.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10298, 2, 15.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10298, 36, 15.2, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10298, 59, 44, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10298, 62, 39.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10299, 19, 7.3, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10299, 70, 12, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10300, 66, 13.6, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10300, 68, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10301, 40, 14.7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10301, 56, 30.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10302, 17, 31.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10302, 28, 36.4, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10302, 43, 36.8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10303, 40, 14.7, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10303, 65, 16.8, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10303, 68, 10, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10304, 49, 16, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10304, 59, 44, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10304, 71, 17.2, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10305, 18, 50, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10305, 29, 99, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10305, 39, 14.4, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10306, 30, 20.7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10306, 53, 26.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10306, 54, 5.9, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10307, 62, 39.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10307, 68, 10, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10308, 69, 28.8, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10308, 70, 12, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10309, 4, 17.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10309, 6, 20, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10309, 42, 11.2, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10309, 43, 36.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10309, 71, 17.2, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10310, 16, 13.9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10310, 62, 39.4, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10311, 42, 11.2, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10311, 69, 28.8, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10312, 28, 36.4, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10312, 43, 36.8, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10312, 53, 26.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10312, 75, 6.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10313, 36, 15.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10314, 32, 25.6, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10314, 58, 10.6, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10314, 62, 39.4, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10315, 34, 11.2, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10315, 70, 12, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10316, 41, 7.7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10316, 62, 39.4, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10317, 1, 14.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10318, 41, 7.7, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10318, 76, 14.4, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10319, 17, 31.2, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10319, 28, 36.4, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10319, 76, 14.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10320, 71, 17.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10321, 35, 14.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10322, 52, 5.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10323, 15, 12.4, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10323, 25, 11.2, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10323, 39, 14.4, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10324, 16, 13.9, 21, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10324, 35, 14.4, 70, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10324, 46, 9.6, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10324, 59, 44, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10324, 63, 35.1, 80, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10325, 6, 20, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10325, 13, 4.8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10325, 14, 18.6, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10325, 31, 10, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10325, 72, 27.8, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10326, 4, 17.6, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10326, 57, 15.6, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10326, 75, 6.2, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10327, 2, 15.2, 25, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10327, 11, 16.8, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10327, 30, 20.7, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10327, 58, 10.6, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10328, 59, 44, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10328, 65, 16.8, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10328, 68, 10, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10329, 19, 7.3, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10329, 30, 20.7, 8, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10329, 38, 210.8, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10329, 56, 30.4, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10330, 26, 24.9, 50, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10330, 72, 27.8, 25, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10331, 54, 5.9, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10332, 18, 50, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10332, 42, 11.2, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10332, 47, 7.6, 16, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10333, 14, 18.6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10333, 21, 8, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10333, 71, 17.2, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10334, 52, 5.6, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10334, 68, 10, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10335, 2, 15.2, 7, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10335, 31, 10, 25, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10335, 32, 25.6, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10335, 51, 42.4, 48, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10336, 4, 17.6, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10337, 23, 7.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10337, 26, 24.9, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10337, 36, 15.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10337, 37, 20.8, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10337, 72, 27.8, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10338, 17, 31.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10338, 30, 20.7, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10339, 4, 17.6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10339, 17, 31.2, 70, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10339, 62, 39.4, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10340, 18, 50, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10340, 41, 7.7, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10340, 43, 36.8, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10341, 33, 2, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10341, 59, 44, 9, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10342, 2, 15.2, 24, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10342, 31, 10, 56, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10342, 36, 15.2, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10342, 55, 19.2, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10343, 64, 26.6, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10343, 68, 10, 4, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10343, 76, 14.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10344, 4, 17.6, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10344, 8, 32, 70, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10345, 8, 32, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10345, 19, 7.3, 80, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10345, 42, 11.2, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10346, 17, 31.2, 36, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10346, 56, 30.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10347, 25, 11.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10347, 39, 14.4, 50, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10347, 40, 14.7, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10347, 75, 6.2, 6, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10348, 1, 14.4, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10348, 23, 7.2, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10349, 54, 5.9, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10350, 50, 13, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10350, 69, 28.8, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10351, 38, 210.8, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10351, 41, 7.7, 13, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10351, 44, 15.5, 77, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10351, 65, 16.8, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10352, 24, 3.6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10352, 54, 5.9, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10353, 11, 16.8, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10353, 38, 210.8, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10354, 1, 14.4, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10354, 29, 99, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10355, 24, 3.6, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10355, 57, 15.6, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10356, 31, 10, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10356, 55, 19.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10356, 69, 28.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10357, 10, 24.8, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10357, 26, 24.9, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10357, 60, 27.2, 8, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10358, 24, 3.6, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10358, 34, 11.2, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10358, 36, 15.2, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10359, 16, 13.9, 56, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10359, 31, 10, 70, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10359, 60, 27.2, 80, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10360, 28, 36.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10360, 29, 99, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10360, 38, 210.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10360, 49, 16, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10360, 54, 5.9, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10361, 39, 14.4, 54, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10361, 60, 27.2, 55, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10362, 25, 11.2, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10362, 51, 42.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10362, 54, 5.9, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10363, 31, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10363, 75, 6.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10363, 76, 14.4, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10364, 69, 28.8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10364, 71, 17.2, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10365, 11, 16.8, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10366, 65, 16.8, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10366, 77, 10.4, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10367, 34, 11.2, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10367, 54, 5.9, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10367, 65, 16.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10367, 77, 10.4, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10368, 21, 8, 5, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10368, 28, 36.4, 13, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10368, 57, 15.6, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10368, 64, 26.6, 35, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10369, 29, 99, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10369, 56, 30.4, 18, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10370, 1, 14.4, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10370, 64, 26.6, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10370, 74, 8, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10371, 36, 15.2, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10372, 20, 64.8, 12, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10372, 38, 210.8, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10372, 60, 27.2, 70, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10372, 72, 27.8, 42, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10373, 58, 10.6, 80, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10373, 71, 17.2, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10374, 31, 10, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10374, 58, 10.6, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10375, 14, 18.6, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10375, 54, 5.9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10376, 31, 10, 42, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10377, 28, 36.4, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10377, 39, 14.4, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10378, 71, 17.2, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10379, 41, 7.7, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10379, 63, 35.1, 16, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10379, 65, 16.8, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10380, 30, 20.7, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10380, 53, 26.2, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10380, 60, 27.2, 6, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10380, 70, 12, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10381, 74, 8, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10382, 5, 17, 32, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10382, 18, 50, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10382, 29, 99, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10382, 33, 2, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10382, 74, 8, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10383, 13, 4.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10383, 50, 13, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10383, 56, 30.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10384, 20, 64.8, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10384, 60, 27.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10385, 7, 24, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10385, 60, 27.2, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10385, 68, 10, 8, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10386, 24, 3.6, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10386, 34, 11.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10387, 24, 3.6, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10387, 28, 36.4, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10387, 59, 44, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10387, 71, 17.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10388, 45, 7.6, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10388, 52, 5.6, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10388, 53, 26.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10389, 10, 24.8, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10389, 55, 19.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10389, 62, 39.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10389, 70, 12, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10390, 31, 10, 60, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10390, 35, 14.4, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10390, 46, 9.6, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10390, 72, 27.8, 24, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10391, 13, 4.8, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10392, 69, 28.8, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10393, 2, 15.2, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10393, 14, 18.6, 42, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10393, 25, 11.2, 7, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10393, 26, 24.9, 70, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10393, 31, 10, 32, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10394, 13, 4.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10394, 62, 39.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10395, 46, 9.6, 28, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10395, 53, 26.2, 70, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10395, 69, 28.8, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10396, 23, 7.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10396, 71, 17.2, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10396, 72, 27.8, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10397, 21, 8, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10397, 51, 42.4, 18, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10398, 35, 14.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10398, 55, 19.2, 120, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10399, 68, 10, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10399, 71, 17.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10399, 76, 14.4, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10399, 77, 10.4, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10400, 29, 99, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10400, 35, 14.4, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10400, 49, 16, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10401, 30, 20.7, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10401, 56, 30.4, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10401, 65, 16.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10401, 71, 17.2, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10402, 23, 7.2, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10402, 63, 35.1, 65, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10403, 16, 13.9, 21, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10403, 48, 10.2, 70, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10404, 26, 24.9, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10404, 42, 11.2, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10404, 49, 16, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10405, 3, 8, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10406, 1, 14.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10406, 21, 8, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10406, 28, 36.4, 42, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10406, 36, 15.2, 5, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10406, 40, 14.7, 2, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10407, 11, 16.8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10407, 69, 28.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10407, 71, 17.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10408, 37, 20.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10408, 54, 5.9, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10408, 62, 39.4, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10409, 14, 18.6, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10409, 21, 8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10410, 33, 2, 49, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10410, 59, 44, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10411, 41, 7.7, 25, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10411, 44, 15.5, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10411, 59, 44, 9, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10412, 14, 18.6, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10413, 1, 14.4, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10413, 62, 39.4, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10413, 76, 14.4, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10414, 19, 7.3, 18, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10414, 33, 2, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10415, 17, 31.2, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10415, 33, 2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10416, 19, 7.3, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10416, 53, 26.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10416, 57, 15.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10417, 38, 210.8, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10417, 46, 9.6, 2, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10417, 68, 10, 36, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10417, 77, 10.4, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10418, 2, 15.2, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10418, 47, 7.6, 55, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10418, 61, 22.8, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10418, 74, 8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10419, 60, 27.2, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10419, 69, 28.8, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10420, 9, 77.6, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10420, 13, 4.8, 2, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10420, 70, 12, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10420, 73, 12, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10421, 19, 7.3, 4, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10421, 26, 24.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10421, 53, 26.2, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10421, 77, 10.4, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10422, 26, 24.9, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10423, 31, 10, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10423, 59, 44, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10424, 35, 14.4, 60, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10424, 38, 210.8, 49, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10424, 68, 10, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10425, 55, 19.2, 10, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10425, 76, 14.4, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10426, 56, 30.4, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10426, 64, 26.6, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10427, 14, 18.6, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10428, 46, 9.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10429, 50, 13, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10429, 63, 35.1, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10430, 17, 31.2, 45, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10430, 21, 8, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10430, 56, 30.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10430, 59, 44, 70, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10431, 17, 31.2, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10431, 40, 14.7, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10431, 47, 7.6, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10432, 26, 24.9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10432, 54, 5.9, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10433, 56, 30.4, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10434, 11, 16.8, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10434, 76, 14.4, 18, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10435, 2, 15.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10435, 22, 16.8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10435, 72, 27.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10436, 46, 9.6, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10436, 56, 30.4, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10436, 64, 26.6, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10436, 75, 6.2, 24, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10437, 53, 26.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10438, 19, 7.3, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10438, 34, 11.2, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10438, 57, 15.6, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10439, 12, 30.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10439, 16, 13.9, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10439, 64, 26.6, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10439, 74, 8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10440, 2, 15.2, 45, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10440, 16, 13.9, 49, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10440, 29, 99, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10440, 61, 22.8, 90, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10441, 27, 35.1, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10442, 11, 16.8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10442, 54, 5.9, 80, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10442, 66, 13.6, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10443, 11, 16.8, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10443, 28, 36.4, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10444, 17, 31.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10444, 26, 24.9, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10444, 35, 14.4, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10444, 41, 7.7, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10445, 39, 14.4, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10445, 54, 5.9, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10446, 19, 7.3, 12, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10446, 24, 3.6, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10446, 31, 10, 3, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10446, 52, 5.6, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10447, 19, 7.3, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10447, 65, 16.8, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10447, 71, 17.2, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10448, 26, 24.9, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10448, 40, 14.7, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10449, 10, 24.8, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10449, 52, 5.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10449, 62, 39.4, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10450, 10, 24.8, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10450, 54, 5.9, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10451, 55, 19.2, 120, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10451, 64, 26.6, 35, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10451, 65, 16.8, 28, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10451, 77, 10.4, 55, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10452, 28, 36.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10452, 44, 15.5, 100, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10453, 48, 10.2, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10453, 70, 12, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10454, 16, 13.9, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10454, 33, 2, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10454, 46, 9.6, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10455, 39, 14.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10455, 53, 26.2, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10455, 61, 22.8, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10455, 71, 17.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10456, 21, 8, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10456, 49, 16, 21, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10457, 59, 44, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10458, 26, 24.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10458, 28, 36.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10458, 43, 36.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10458, 56, 30.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10458, 71, 17.2, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10459, 7, 24, 16, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10459, 46, 9.6, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10459, 72, 27.8, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10460, 68, 10, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10460, 75, 6.2, 4, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10461, 21, 8, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10461, 30, 20.7, 28, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10461, 55, 19.2, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10462, 13, 4.8, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10462, 23, 7.2, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10463, 19, 7.3, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10463, 42, 11.2, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10464, 4, 17.6, 16, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10464, 43, 36.8, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10464, 56, 30.4, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10464, 60, 27.2, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10465, 24, 3.6, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10465, 29, 99, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10465, 40, 14.7, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10465, 45, 7.6, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10465, 50, 13, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10466, 11, 16.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10466, 46, 9.6, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10467, 24, 3.6, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10467, 25, 11.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10468, 30, 20.7, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10468, 43, 36.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10469, 2, 15.2, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10469, 16, 13.9, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10469, 44, 15.5, 2, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10470, 18, 50, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10470, 23, 7.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10470, 64, 26.6, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10471, 7, 24, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10471, 56, 30.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10472, 24, 3.6, 80, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10472, 51, 42.4, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10473, 33, 2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10473, 71, 17.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10474, 14, 18.6, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10474, 28, 36.4, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10474, 40, 14.7, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10474, 75, 6.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10475, 31, 10, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10475, 66, 13.6, 60, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10475, 76, 14.4, 42, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10476, 55, 19.2, 2, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10476, 70, 12, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10477, 1, 14.4, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10477, 21, 8, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10477, 39, 14.4, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10478, 10, 24.8, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10479, 38, 210.8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10479, 53, 26.2, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10479, 59, 44, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10479, 64, 26.6, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10480, 47, 7.6, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10480, 59, 44, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10481, 49, 16, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10481, 60, 27.2, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10482, 40, 14.7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10483, 34, 11.2, 35, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10483, 77, 10.4, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10484, 21, 8, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10484, 40, 14.7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10484, 51, 42.4, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10485, 2, 15.2, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10485, 3, 8, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10485, 55, 19.2, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10485, 70, 12, 60, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10486, 11, 16.8, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10486, 51, 42.4, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10486, 74, 8, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10487, 19, 7.3, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10487, 26, 24.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10487, 54, 5.9, 24, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10488, 59, 44, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10488, 73, 12, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10489, 11, 16.8, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10489, 16, 13.9, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10490, 59, 44, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10490, 68, 10, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10490, 75, 6.2, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10491, 44, 15.5, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10491, 77, 10.4, 7, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10492, 25, 11.2, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10492, 42, 11.2, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10493, 65, 16.8, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10493, 66, 13.6, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10493, 69, 28.8, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10494, 56, 30.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10495, 23, 7.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10495, 41, 7.7, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10495, 77, 10.4, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10496, 31, 10, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10497, 56, 30.4, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10497, 72, 27.8, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10497, 77, 10.4, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10498, 24, 4.5, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10498, 40, 18.4, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10498, 42, 14, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10499, 28, 45.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10499, 49, 20, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10500, 15, 15.5, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10500, 28, 45.6, 8, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10501, 54, 7.45, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10502, 45, 9.5, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10502, 53, 32.8, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10502, 67, 14, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10503, 14, 23.25, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10503, 65, 21.05, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10504, 2, 19, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10504, 21, 10, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10504, 53, 32.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10504, 61, 28.5, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10505, 62, 49.3, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10506, 25, 14, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10506, 70, 15, 14, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10507, 43, 46, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10507, 48, 12.75, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10508, 13, 6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10508, 39, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10509, 28, 45.6, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10510, 29, 123.79, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10510, 75, 7.75, 36, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10511, 4, 22, 50, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10511, 7, 30, 50, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10511, 8, 40, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10512, 24, 4.5, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10512, 46, 12, 9, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10512, 47, 9.5, 6, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10512, 60, 34, 12, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10513, 21, 10, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10513, 32, 32, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10513, 61, 28.5, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10514, 20, 81, 39, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10514, 28, 45.6, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10514, 56, 38, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10514, 65, 21.05, 39, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10514, 75, 7.75, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10515, 9, 97, 16, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10515, 16, 17.45, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10515, 27, 43.9, 120, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10515, 33, 2.5, 16, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10515, 60, 34, 84, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10516, 18, 62.5, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10516, 41, 9.65, 80, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10516, 42, 14, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10517, 52, 7, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10517, 59, 55, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10517, 70, 15, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10518, 24, 4.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10518, 38, 263.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10518, 44, 19.45, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10519, 10, 31, 16, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10519, 56, 38, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10519, 60, 34, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10520, 24, 4.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10520, 53, 32.8, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10521, 35, 18, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10521, 41, 9.65, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10521, 68, 12.5, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10522, 1, 18, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10522, 8, 40, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10522, 30, 25.89, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10522, 40, 18.4, 25, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10523, 17, 39, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10523, 20, 81, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10523, 37, 26, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10523, 41, 9.65, 6, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10524, 10, 31, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10524, 30, 25.89, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10524, 43, 46, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10524, 54, 7.45, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10525, 36, 19, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10525, 40, 18.4, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10526, 1, 18, 8, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10526, 13, 6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10526, 56, 38, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10527, 4, 22, 50, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10527, 36, 19, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10528, 11, 21, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10528, 33, 2.5, 8, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10528, 72, 34.8, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10529, 55, 24, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10529, 68, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10529, 69, 36, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10530, 17, 39, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10530, 43, 46, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10530, 61, 28.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10530, 76, 18, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10531, 59, 55, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10532, 30, 25.89, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10532, 66, 17, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10533, 4, 22, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10533, 72, 34.8, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10533, 73, 15, 24, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10534, 30, 25.89, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10534, 40, 18.4, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10534, 54, 7.45, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10535, 11, 21, 50, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10535, 40, 18.4, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10535, 57, 19.5, 5, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10535, 59, 55, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10536, 12, 38, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10536, 31, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10536, 33, 2.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10536, 60, 34, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10537, 31, 12.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10537, 51, 53, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10537, 58, 13.25, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10537, 72, 34.8, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10537, 73, 15, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10538, 70, 15, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10538, 72, 34.8, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10539, 13, 6, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10539, 21, 10, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10539, 33, 2.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10539, 49, 20, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10540, 3, 10, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10540, 26, 31.23, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10540, 38, 263.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10540, 68, 12.5, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10541, 24, 4.5, 35, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10541, 38, 263.5, 4, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10541, 65, 21.05, 36, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10541, 71, 21.5, 9, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10542, 11, 21, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10542, 54, 7.45, 24, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10543, 12, 38, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10543, 23, 9, 70, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10544, 28, 45.6, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10544, 67, 14, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10545, 11, 21, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10546, 7, 30, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10546, 35, 18, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10546, 62, 49.3, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10547, 32, 32, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10547, 36, 19, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10548, 34, 14, 10, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10548, 41, 9.65, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10549, 31, 12.5, 55, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10549, 45, 9.5, 100, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10549, 51, 53, 48, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10550, 17, 39, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10550, 19, 9.2, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10550, 21, 10, 6, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10550, 61, 28.5, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10551, 16, 17.45, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10551, 35, 18, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10551, 44, 19.45, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10552, 69, 36, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10552, 75, 7.75, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10553, 11, 21, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10553, 16, 17.45, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10553, 22, 21, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10553, 31, 12.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10553, 35, 18, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10554, 16, 17.45, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10554, 23, 9, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10554, 62, 49.3, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10554, 77, 13, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10555, 14, 23.25, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10555, 19, 9.2, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10555, 24, 4.5, 18, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10555, 51, 53, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10555, 56, 38, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10556, 72, 34.8, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10557, 64, 33.25, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10557, 75, 7.75, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10558, 47, 9.5, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10558, 51, 53, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10558, 52, 7, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10558, 53, 32.8, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10558, 73, 15, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10559, 41, 9.65, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10559, 55, 24, 18, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10560, 30, 25.89, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10560, 62, 49.3, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10561, 44, 19.45, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10561, 51, 53, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10562, 33, 2.5, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10562, 62, 49.3, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10563, 36, 19, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10563, 52, 7, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10564, 17, 39, 16, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10564, 31, 12.5, 6, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10564, 55, 24, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10565, 24, 4.5, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10565, 64, 33.25, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10566, 11, 21, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10566, 18, 62.5, 18, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10566, 76, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10567, 31, 12.5, 60, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10567, 51, 53, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10567, 59, 55, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10568, 10, 31, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10569, 31, 12.5, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10569, 76, 18, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10570, 11, 21, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10570, 56, 38, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10571, 14, 23.25, 11, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10571, 42, 14, 28, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10572, 16, 17.45, 12, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10572, 32, 32, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10572, 40, 18.4, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10572, 75, 7.75, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10573, 17, 39, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10573, 34, 14, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10573, 53, 32.8, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10574, 33, 2.5, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10574, 40, 18.4, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10574, 62, 49.3, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10574, 64, 33.25, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10575, 59, 55, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10575, 63, 43.9, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10575, 72, 34.8, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10575, 76, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10576, 1, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10576, 31, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10576, 44, 19.45, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10577, 39, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10577, 75, 7.75, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10577, 77, 13, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10578, 35, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10578, 57, 19.5, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10579, 15, 15.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10579, 75, 7.75, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10580, 14, 23.25, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10580, 41, 9.65, 9, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10580, 65, 21.05, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10581, 75, 7.75, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10582, 57, 19.5, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10582, 76, 18, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10583, 29, 123.79, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10583, 60, 34, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10583, 69, 36, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10584, 31, 12.5, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10585, 47, 9.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10586, 52, 7, 4, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10587, 26, 31.23, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10587, 35, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10587, 77, 13, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10588, 18, 62.5, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10588, 42, 14, 100, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10589, 35, 18, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10590, 1, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10590, 77, 13, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10591, 3, 10, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10591, 7, 30, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10591, 54, 7.45, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10592, 15, 15.5, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10592, 26, 31.23, 5, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10593, 20, 81, 21, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10593, 69, 36, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10593, 76, 18, 4, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10594, 52, 7, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10594, 58, 13.25, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10595, 35, 18, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10595, 61, 28.5, 120, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10595, 69, 36, 65, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10596, 56, 38, 5, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10596, 63, 43.9, 24, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10596, 75, 7.75, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10597, 24, 4.5, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10597, 57, 19.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10597, 65, 21.05, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10598, 27, 43.9, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10598, 71, 21.5, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10599, 62, 49.3, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10600, 54, 7.45, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10600, 73, 15, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10601, 13, 6, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10601, 59, 55, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10602, 77, 13, 5, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10603, 22, 21, 48, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10603, 49, 20, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10604, 48, 12.75, 6, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10604, 76, 18, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10605, 16, 17.45, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10605, 59, 55, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10605, 60, 34, 70, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10605, 71, 21.5, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10606, 4, 22, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10606, 55, 24, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10606, 62, 49.3, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10607, 7, 30, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10607, 17, 39, 100, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10607, 33, 2.5, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10607, 40, 18.4, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10607, 72, 34.8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10608, 56, 38, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10609, 1, 18, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10609, 10, 31, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10609, 21, 10, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10610, 36, 19, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10611, 1, 18, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10611, 2, 19, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10611, 60, 34, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10612, 10, 31, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10612, 36, 19, 55, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10612, 49, 20, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10612, 60, 34, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10612, 76, 18, 80, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10613, 13, 6, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10613, 75, 7.75, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10614, 11, 21, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10614, 21, 10, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10614, 39, 18, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10615, 55, 24, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10616, 38, 263.5, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10616, 56, 38, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10616, 70, 15, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10616, 71, 21.5, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10617, 59, 55, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10618, 6, 25, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10618, 56, 38, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10618, 68, 12.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10619, 21, 10, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10619, 22, 21, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10620, 24, 4.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10620, 52, 7, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10621, 19, 9.2, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10621, 23, 9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10621, 70, 15, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10621, 71, 21.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10622, 2, 19, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10622, 68, 12.5, 18, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10623, 14, 23.25, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10623, 19, 9.2, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10623, 21, 10, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10623, 24, 4.5, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10623, 35, 18, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10624, 28, 45.6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10624, 29, 123.79, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10624, 44, 19.45, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10625, 14, 23.25, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10625, 42, 14, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10625, 60, 34, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10626, 53, 32.8, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10626, 60, 34, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10626, 71, 21.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10627, 62, 49.3, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10627, 73, 15, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10628, 1, 18, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10629, 29, 123.79, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10629, 64, 33.25, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10630, 55, 24, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10630, 76, 18, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10631, 75, 7.75, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10632, 2, 19, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10632, 33, 2.5, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10633, 12, 38, 36, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10633, 13, 6, 13, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10633, 26, 31.23, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10633, 62, 49.3, 80, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10634, 7, 30, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10634, 18, 62.5, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10634, 51, 53, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10634, 75, 7.75, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10635, 4, 22, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10635, 5, 21.35, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10635, 22, 21, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10636, 4, 22, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10636, 58, 13.25, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10637, 11, 21, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10637, 50, 16.25, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10637, 56, 38, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10638, 45, 9.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10638, 65, 21.05, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10638, 72, 34.8, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10639, 18, 62.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10640, 69, 36, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10640, 70, 15, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10641, 2, 19, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10641, 40, 18.4, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10642, 21, 10, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10642, 61, 28.5, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10643, 28, 45.6, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10643, 39, 18, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10643, 46, 12, 2, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10644, 18, 62.5, 4, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10644, 43, 46, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10644, 46, 12, 21, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10645, 18, 62.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10645, 36, 19, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10646, 1, 18, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10646, 10, 31, 18, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10646, 71, 21.5, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10646, 77, 13, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10647, 19, 9.2, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10647, 39, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10648, 22, 21, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10648, 24, 4.5, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10649, 28, 45.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10649, 72, 34.8, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10650, 30, 25.89, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10650, 53, 32.8, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10650, 54, 7.45, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10651, 19, 9.2, 12, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10651, 22, 21, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10652, 30, 25.89, 2, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10652, 42, 14, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10653, 16, 17.45, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10653, 60, 34, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10654, 4, 22, 12, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10654, 39, 18, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10654, 54, 7.45, 6, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10655, 41, 9.65, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10656, 14, 23.25, 3, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10656, 44, 19.45, 28, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10656, 47, 9.5, 6, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10657, 15, 15.5, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10657, 41, 9.65, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10657, 46, 12, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10657, 47, 9.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10657, 56, 38, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10657, 60, 34, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10658, 21, 10, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10658, 40, 18.4, 70, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10658, 60, 34, 55, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10658, 77, 13, 70, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10659, 31, 12.5, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10659, 40, 18.4, 24, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10659, 70, 15, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10660, 20, 81, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10661, 39, 18, 3, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10661, 58, 13.25, 49, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10662, 68, 12.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10663, 40, 18.4, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10663, 42, 14, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10663, 51, 53, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10664, 10, 31, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10664, 56, 38, 12, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10664, 65, 21.05, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10665, 51, 53, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10665, 59, 55, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10665, 76, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10666, 29, 123.79, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10666, 65, 21.05, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10667, 69, 36, 45, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10667, 71, 21.5, 14, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10668, 31, 12.5, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10668, 55, 24, 4, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10668, 64, 33.25, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10669, 36, 19, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10670, 23, 9, 32, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10670, 46, 12, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10670, 67, 14, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10670, 73, 15, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10670, 75, 7.75, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10671, 16, 17.45, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10671, 62, 49.3, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10671, 65, 21.05, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10672, 38, 263.5, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10672, 71, 21.5, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10673, 16, 17.45, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10673, 42, 14, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10673, 43, 46, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10674, 23, 9, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10675, 14, 23.25, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10675, 53, 32.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10675, 58, 13.25, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10676, 10, 31, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10676, 19, 9.2, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10676, 44, 19.45, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10677, 26, 31.23, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10677, 33, 2.5, 8, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10678, 12, 38, 100, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10678, 33, 2.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10678, 41, 9.65, 120, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10678, 54, 7.45, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10679, 59, 55, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10680, 16, 17.45, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10680, 31, 12.5, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10680, 42, 14, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10681, 19, 9.2, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10681, 21, 10, 12, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10681, 64, 33.25, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10682, 33, 2.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10682, 66, 17, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10682, 75, 7.75, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10683, 52, 7, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10684, 40, 18.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10684, 47, 9.5, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10684, 60, 34, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10685, 10, 31, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10685, 41, 9.65, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10685, 47, 9.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10686, 17, 39, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10686, 26, 31.23, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10687, 9, 97, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10687, 29, 123.79, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10687, 36, 19, 6, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10688, 10, 31, 18, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10688, 28, 45.6, 60, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10688, 34, 14, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10689, 1, 18, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10690, 56, 38, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10690, 77, 13, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10691, 1, 18, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10691, 29, 123.79, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10691, 43, 46, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10691, 44, 19.45, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10691, 62, 49.3, 48, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10692, 63, 43.9, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10693, 9, 97, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10693, 54, 7.45, 60, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10693, 69, 36, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10693, 73, 15, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10694, 7, 30, 90, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10694, 59, 55, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10694, 70, 15, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10695, 8, 40, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10695, 12, 38, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10695, 24, 4.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10696, 17, 39, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10696, 46, 12, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10697, 19, 9.2, 7, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10697, 35, 18, 9, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10697, 58, 13.25, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10697, 70, 15, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10698, 11, 21, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10698, 17, 39, 8, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10698, 29, 123.79, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10698, 65, 21.05, 65, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10698, 70, 15, 8, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10699, 47, 9.5, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10700, 1, 18, 5, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10700, 34, 14, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10700, 68, 12.5, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10700, 71, 21.5, 60, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10701, 59, 55, 42, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10701, 71, 21.5, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10701, 76, 18, 35, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10702, 3, 10, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10702, 76, 18, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10703, 2, 19, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10703, 59, 55, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10703, 73, 15, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10704, 4, 22, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10704, 24, 4.5, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10704, 48, 12.75, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10705, 31, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10705, 32, 32, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10706, 16, 17.45, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10706, 43, 46, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10706, 59, 55, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10707, 55, 24, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10707, 57, 19.5, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10707, 70, 15, 28, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10708, 5, 21.35, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10708, 36, 19, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10709, 8, 40, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10709, 51, 53, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10709, 60, 34, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10710, 19, 9.2, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10710, 47, 9.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10711, 19, 9.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10711, 41, 9.65, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10711, 53, 32.8, 120, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10712, 53, 32.8, 3, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10712, 56, 38, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10713, 10, 31, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10713, 26, 31.23, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10713, 45, 9.5, 110, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10713, 46, 12, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10714, 2, 19, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10714, 17, 39, 27, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10714, 47, 9.5, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10714, 56, 38, 18, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10714, 58, 13.25, 12, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10715, 10, 31, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10715, 71, 21.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10716, 21, 10, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10716, 51, 53, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10716, 61, 28.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10717, 21, 10, 32, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10717, 54, 7.45, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10717, 69, 36, 25, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10718, 12, 38, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10718, 16, 17.45, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10718, 36, 19, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10718, 62, 49.3, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10719, 18, 62.5, 12, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10719, 30, 25.89, 3, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10719, 54, 7.45, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10720, 35, 18, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10720, 71, 21.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10721, 44, 19.45, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10722, 2, 19, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10722, 31, 12.5, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10722, 68, 12.5, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10722, 75, 7.75, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10723, 26, 31.23, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10724, 10, 31, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10724, 61, 28.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10725, 41, 9.65, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10725, 52, 7, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10725, 55, 24, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10726, 4, 22, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10726, 11, 21, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10727, 17, 39, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10727, 56, 38, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10727, 59, 55, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10728, 30, 25.89, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10728, 40, 18.4, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10728, 55, 24, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10728, 60, 34, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10729, 1, 18, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10729, 21, 10, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10729, 50, 16.25, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10730, 16, 17.45, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10730, 31, 12.5, 3, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10730, 65, 21.05, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10731, 21, 10, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10731, 51, 53, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10732, 76, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10733, 14, 23.25, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10733, 28, 45.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10733, 52, 7, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10734, 6, 25, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10734, 30, 25.89, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10734, 76, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10735, 61, 28.5, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10735, 77, 13, 2, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10736, 65, 21.05, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10736, 75, 7.75, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10737, 13, 6, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10737, 41, 9.65, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10738, 16, 17.45, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10739, 36, 19, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10739, 52, 7, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10740, 28, 45.6, 5, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10740, 35, 18, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10740, 45, 9.5, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10740, 56, 38, 14, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10741, 2, 19, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10742, 3, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10742, 60, 34, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10742, 72, 34.8, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10743, 46, 12, 28, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10744, 40, 18.4, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10745, 18, 62.5, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10745, 44, 19.45, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10745, 59, 55, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10745, 72, 34.8, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10746, 13, 6, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10746, 42, 14, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10746, 62, 49.3, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10746, 69, 36, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10747, 31, 12.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10747, 41, 9.65, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10747, 63, 43.9, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10747, 69, 36, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10748, 23, 9, 44, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10748, 40, 18.4, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10748, 56, 38, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10749, 56, 38, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10749, 59, 55, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10749, 76, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10750, 14, 23.25, 5, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10750, 45, 9.5, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10750, 59, 55, 25, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10751, 26, 31.23, 12, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10751, 30, 25.89, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10751, 50, 16.25, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10751, 73, 15, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10752, 1, 18, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10752, 69, 36, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10753, 45, 9.5, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10753, 74, 10, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10754, 40, 18.4, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10755, 47, 9.5, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10755, 56, 38, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10755, 57, 19.5, 14, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10755, 69, 36, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10756, 18, 62.5, 21, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10756, 36, 19, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10756, 68, 12.5, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10756, 69, 36, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10757, 34, 14, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10757, 59, 55, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10757, 62, 49.3, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10757, 64, 33.25, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10758, 26, 31.23, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10758, 52, 7, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10758, 70, 15, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10759, 32, 32, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10760, 25, 14, 12, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10760, 27, 43.9, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10760, 43, 46, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10761, 25, 14, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10761, 75, 7.75, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10762, 39, 18, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10762, 47, 9.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10762, 51, 53, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10762, 56, 38, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10763, 21, 10, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10763, 22, 21, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10763, 24, 4.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10764, 3, 10, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10764, 39, 18, 130, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10765, 65, 21.05, 80, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10766, 2, 19, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10766, 7, 30, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10766, 68, 12.5, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10767, 42, 14, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10768, 22, 21, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10768, 31, 12.5, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10768, 60, 34, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10768, 71, 21.5, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10769, 41, 9.65, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10769, 52, 7, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10769, 61, 28.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10769, 62, 49.3, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10770, 11, 21, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10771, 71, 21.5, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10772, 29, 123.79, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10772, 59, 55, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10773, 17, 39, 33, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10773, 31, 12.5, 70, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10773, 75, 7.75, 7, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10774, 31, 12.5, 2, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10774, 66, 17, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10775, 10, 31, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10775, 67, 14, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10776, 31, 12.5, 16, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10776, 42, 14, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10776, 45, 9.5, 27, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10776, 51, 53, 120, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10777, 42, 14, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10778, 41, 9.65, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10779, 16, 17.45, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10779, 62, 49.3, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10780, 70, 15, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10780, 77, 13, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10781, 54, 7.45, 3, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10781, 56, 38, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10781, 74, 10, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10782, 31, 12.5, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10783, 31, 12.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10783, 38, 263.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10784, 36, 19, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10784, 39, 18, 2, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10784, 72, 34.8, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10785, 10, 31, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10785, 75, 7.75, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10786, 8, 40, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10786, 30, 25.89, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10786, 75, 7.75, 42, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10787, 2, 19, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10787, 29, 123.79, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10788, 19, 9.2, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10788, 75, 7.75, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10789, 18, 62.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10789, 35, 18, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10789, 63, 43.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10789, 68, 12.5, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10790, 7, 30, 3, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10790, 56, 38, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10791, 29, 123.79, 14, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10791, 41, 9.65, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10792, 2, 19, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10792, 54, 7.45, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10792, 68, 12.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10793, 41, 9.65, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10793, 52, 7, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10794, 14, 23.25, 15, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10794, 54, 7.45, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10795, 16, 17.45, 65, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10795, 17, 39, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10796, 26, 31.23, 21, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10796, 44, 19.45, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10796, 64, 33.25, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10796, 69, 36, 24, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10797, 11, 21, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10798, 62, 49.3, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10798, 72, 34.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10799, 13, 6, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10799, 24, 4.5, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10799, 59, 55, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10800, 11, 21, 50, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10800, 51, 53, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10800, 54, 7.45, 7, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10801, 17, 39, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10801, 29, 123.79, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10802, 30, 25.89, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10802, 51, 53, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10802, 55, 24, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10802, 62, 49.3, 5, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10803, 19, 9.2, 24, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10803, 25, 14, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10803, 59, 55, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10804, 10, 31, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10804, 28, 45.6, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10804, 49, 20, 4, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10805, 34, 14, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10805, 38, 263.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10806, 2, 19, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10806, 65, 21.05, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10806, 74, 10, 15, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10807, 40, 18.4, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10808, 56, 38, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10808, 76, 18, 50, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10809, 52, 7, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10810, 13, 6, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10810, 25, 14, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10810, 70, 15, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10811, 19, 9.2, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10811, 23, 9, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10811, 40, 18.4, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10812, 31, 12.5, 16, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10812, 72, 34.8, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10812, 77, 13, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10813, 2, 19, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10813, 46, 12, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10814, 41, 9.65, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10814, 43, 46, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10814, 48, 12.75, 8, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10814, 61, 28.5, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10815, 33, 2.5, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10816, 38, 263.5, 30, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10816, 62, 49.3, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10817, 26, 31.23, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10817, 38, 263.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10817, 40, 18.4, 60, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10817, 62, 49.3, 25, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10818, 32, 32, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10818, 41, 9.65, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10819, 43, 46, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10819, 75, 7.75, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10820, 56, 38, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10821, 35, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10821, 51, 53, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10822, 62, 49.3, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10822, 70, 15, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10823, 11, 21, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10823, 57, 19.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10823, 59, 55, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10823, 77, 13, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10824, 41, 9.65, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10824, 70, 15, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10825, 26, 31.23, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10825, 53, 32.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10826, 31, 12.5, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10826, 57, 19.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10827, 10, 31, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10827, 39, 18, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10828, 20, 81, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10828, 38, 263.5, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10829, 2, 19, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10829, 8, 40, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10829, 13, 6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10829, 60, 34, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10830, 6, 25, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10830, 39, 18, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10830, 60, 34, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10830, 68, 12.5, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10831, 19, 9.2, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10831, 35, 18, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10831, 38, 263.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10831, 43, 46, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10832, 13, 6, 3, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10832, 25, 14, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10832, 44, 19.45, 16, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10832, 64, 33.25, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10833, 7, 30, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10833, 31, 12.5, 9, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10833, 53, 32.8, 9, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10834, 29, 123.79, 8, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10834, 30, 25.89, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10835, 59, 55, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10835, 77, 13, 2, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10836, 22, 21, 52, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10836, 35, 18, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10836, 57, 19.5, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10836, 60, 34, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10836, 64, 33.25, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10837, 13, 6, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10837, 40, 18.4, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10837, 47, 9.5, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10837, 76, 18, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10838, 1, 18, 4, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10838, 18, 62.5, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10838, 36, 19, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10839, 58, 13.25, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10839, 72, 34.8, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10840, 25, 14, 6, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10840, 39, 18, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10841, 10, 31, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10841, 56, 38, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10841, 59, 55, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10841, 77, 13, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10842, 11, 21, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10842, 43, 46, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10842, 68, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10842, 70, 15, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10843, 51, 53, 4, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10844, 22, 21, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10845, 23, 9, 70, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10845, 35, 18, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10845, 42, 14, 42, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10845, 58, 13.25, 60, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10845, 64, 33.25, 48, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10846, 4, 22, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10846, 70, 15, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10846, 74, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10847, 1, 18, 80, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10847, 19, 9.2, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10847, 37, 26, 60, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10847, 45, 9.5, 36, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10847, 60, 34, 45, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10847, 71, 21.5, 55, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10848, 5, 21.35, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10848, 9, 97, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10849, 3, 10, 49, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10849, 26, 31.23, 18, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10850, 25, 14, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10850, 33, 2.5, 4, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10850, 70, 15, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10851, 2, 19, 5, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10851, 25, 14, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10851, 57, 19.5, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10851, 59, 55, 42, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10852, 2, 19, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10852, 17, 39, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10852, 62, 49.3, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10853, 18, 62.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10854, 10, 31, 100, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10854, 13, 6, 65, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10855, 16, 17.45, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10855, 31, 12.5, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10855, 56, 38, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10855, 65, 21.05, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10856, 2, 19, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10856, 42, 14, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10857, 3, 10, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10857, 26, 31.23, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10857, 29, 123.79, 10, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10858, 7, 30, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10858, 27, 43.9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10858, 70, 15, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10859, 24, 4.5, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10859, 54, 7.45, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10859, 64, 33.25, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10860, 51, 53, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10860, 76, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10861, 17, 39, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10861, 18, 62.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10861, 21, 10, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10861, 33, 2.5, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10861, 62, 49.3, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10862, 11, 21, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10862, 52, 7, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10863, 1, 18, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10863, 58, 13.25, 12, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10864, 35, 18, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10864, 67, 14, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10865, 38, 263.5, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10865, 39, 18, 80, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10866, 2, 19, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10866, 24, 4.5, 6, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10866, 30, 25.89, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10867, 53, 32.8, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10868, 26, 31.23, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10868, 35, 18, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10868, 49, 20, 42, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10869, 1, 18, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10869, 11, 21, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10869, 23, 9, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10869, 68, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10870, 35, 18, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10870, 51, 53, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10871, 6, 25, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10871, 16, 17.45, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10871, 17, 39, 16, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10872, 55, 24, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10872, 62, 49.3, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10872, 64, 33.25, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10872, 65, 21.05, 21, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10873, 21, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10873, 28, 45.6, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10874, 10, 31, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10875, 19, 9.2, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10875, 47, 9.5, 21, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10875, 49, 20, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10876, 46, 12, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10876, 64, 33.25, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10877, 16, 17.45, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10877, 18, 62.5, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10878, 20, 81, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10879, 40, 18.4, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10879, 65, 21.05, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10879, 76, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10880, 23, 9, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10880, 61, 28.5, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10880, 70, 15, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10881, 73, 15, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10882, 42, 14, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10882, 49, 20, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10882, 54, 7.45, 32, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10883, 24, 4.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10884, 21, 10, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10884, 56, 38, 21, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10884, 65, 21.05, 12, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10885, 2, 19, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10885, 24, 4.5, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10885, 70, 15, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10885, 77, 13, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10886, 10, 31, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10886, 31, 12.5, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10886, 77, 13, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10887, 25, 14, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10888, 2, 19, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10888, 68, 12.5, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10889, 11, 21, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10889, 38, 263.5, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10890, 17, 39, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10890, 34, 14, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10890, 41, 9.65, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10891, 30, 25.89, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10892, 59, 55, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10893, 8, 40, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10893, 24, 4.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10893, 29, 123.79, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10893, 30, 25.89, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10893, 36, 19, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10894, 13, 6, 28, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10894, 69, 36, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10894, 75, 7.75, 120, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10895, 24, 4.5, 110, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10895, 39, 18, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10895, 40, 18.4, 91, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10895, 60, 34, 100, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10896, 45, 9.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10896, 56, 38, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10897, 29, 123.79, 80, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10897, 30, 25.89, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10898, 13, 6, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10899, 39, 18, 8, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10900, 70, 15, 3, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10901, 41, 9.65, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10901, 71, 21.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10902, 55, 24, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10902, 62, 49.3, 6, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10903, 13, 6, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10903, 65, 21.05, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10903, 68, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10904, 58, 13.25, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10904, 62, 49.3, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10905, 1, 18, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10906, 61, 28.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10907, 75, 7.75, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10908, 7, 30, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10908, 52, 7, 14, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10909, 7, 30, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10909, 16, 17.45, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10909, 41, 9.65, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10910, 19, 9.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10910, 49, 20, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10910, 61, 28.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10911, 1, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10911, 17, 39, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10911, 67, 14, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10912, 11, 21, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10912, 29, 123.79, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10913, 4, 22, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10913, 33, 2.5, 40, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10913, 58, 13.25, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10914, 71, 21.5, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10915, 17, 39, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10915, 33, 2.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10915, 54, 7.45, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10916, 16, 17.45, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10916, 32, 32, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10916, 57, 19.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10917, 30, 25.89, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10917, 60, 34, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10918, 1, 18, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10918, 60, 34, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10919, 16, 17.45, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10919, 25, 14, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10919, 40, 18.4, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10920, 50, 16.25, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10921, 35, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10921, 63, 43.9, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10922, 17, 39, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10922, 24, 4.5, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10923, 42, 14, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10923, 43, 46, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10923, 67, 14, 24, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10924, 10, 31, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10924, 28, 45.6, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10924, 75, 7.75, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10925, 36, 19, 25, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10925, 52, 7, 12, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10926, 11, 21, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10926, 13, 6, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10926, 19, 9.2, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10926, 72, 34.8, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10927, 20, 81, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10927, 52, 7, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10927, 76, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10928, 47, 9.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10928, 76, 18, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10929, 21, 10, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10929, 75, 7.75, 49, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10929, 77, 13, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10930, 21, 10, 36, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10930, 27, 43.9, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10930, 55, 24, 25, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10930, 58, 13.25, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10931, 13, 6, 42, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10931, 57, 19.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10932, 16, 17.45, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10932, 62, 49.3, 14, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10932, 72, 34.8, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10932, 75, 7.75, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10933, 53, 32.8, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10933, 61, 28.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10934, 6, 25, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10935, 1, 18, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10935, 18, 62.5, 4, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10935, 23, 9, 8, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10936, 36, 19, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10937, 28, 45.6, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10937, 34, 14, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10938, 13, 6, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10938, 43, 46, 24, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10938, 60, 34, 49, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10938, 71, 21.5, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10939, 2, 19, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10939, 67, 14, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10940, 7, 30, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10940, 13, 6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10941, 31, 12.5, 44, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10941, 62, 49.3, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10941, 68, 12.5, 80, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10941, 72, 34.8, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10942, 49, 20, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10943, 13, 6, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10943, 22, 21, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10943, 46, 12, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10944, 11, 21, 5, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10944, 44, 19.45, 18, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10944, 56, 38, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10945, 13, 6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10945, 31, 12.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10946, 10, 31, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10946, 24, 4.5, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10946, 77, 13, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10947, 59, 55, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10948, 50, 16.25, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10948, 51, 53, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10948, 55, 24, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10949, 6, 25, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10949, 10, 31, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10949, 17, 39, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10949, 62, 49.3, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10950, 4, 22, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10951, 33, 2.5, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10951, 41, 9.65, 6, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10951, 75, 7.75, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10952, 6, 25, 16, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10952, 28, 45.6, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10953, 20, 81, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10953, 31, 12.5, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10954, 16, 17.45, 28, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10954, 31, 12.5, 25, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10954, 45, 9.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10954, 60, 34, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10955, 75, 7.75, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10956, 21, 10, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10956, 47, 9.5, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10956, 51, 53, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10957, 30, 25.89, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10957, 35, 18, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10957, 64, 33.25, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10958, 5, 21.35, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10958, 7, 30, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10958, 72, 34.8, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10959, 75, 7.75, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10960, 24, 4.5, 10, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10960, 41, 9.65, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10961, 52, 7, 6, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10961, 76, 18, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10962, 7, 30, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10962, 13, 6, 77, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10962, 53, 32.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10962, 69, 36, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10962, 76, 18, 44, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10963, 60, 34, 2, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10964, 18, 62.5, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10964, 38, 263.5, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10964, 69, 36, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10965, 51, 53, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10966, 37, 26, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10966, 56, 38, 12, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10966, 62, 49.3, 12, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10967, 19, 9.2, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10967, 49, 20, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10968, 12, 38, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10968, 24, 4.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10968, 64, 33.25, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10969, 46, 12, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10970, 52, 7, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10971, 29, 123.79, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10972, 17, 39, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10972, 33, 2.5, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10973, 26, 31.23, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10973, 41, 9.65, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10973, 75, 7.75, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10974, 63, 43.9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10975, 8, 40, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10975, 75, 7.75, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10976, 28, 45.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10977, 39, 18, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10977, 47, 9.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10977, 51, 53, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10977, 63, 43.9, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10978, 8, 40, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10978, 21, 10, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10978, 40, 18.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10978, 44, 19.45, 6, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10979, 7, 30, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10979, 12, 38, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10979, 24, 4.5, 80, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10979, 27, 43.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10979, 31, 12.5, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10979, 63, 43.9, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10980, 75, 7.75, 40, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10981, 38, 263.5, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10982, 7, 30, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10982, 43, 46, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10983, 13, 6, 84, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10983, 57, 19.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10984, 16, 17.45, 55, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10984, 24, 4.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10984, 36, 19, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10985, 16, 17.45, 36, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10985, 18, 62.5, 8, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10985, 32, 32, 35, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10986, 11, 21, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10986, 20, 81, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10986, 76, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10986, 77, 13, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10987, 7, 30, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10987, 43, 46, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10987, 72, 34.8, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10988, 7, 30, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10988, 62, 49.3, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10989, 6, 25, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10989, 11, 21, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10989, 41, 9.65, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10990, 21, 10, 65, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10990, 34, 14, 60, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10990, 55, 24, 65, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10990, 61, 28.5, 66, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10991, 2, 19, 50, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10991, 70, 15, 20, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10991, 76, 18, 90, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10992, 72, 34.8, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10993, 29, 123.79, 50, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10993, 41, 9.65, 35, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10994, 59, 55, 18, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10995, 51, 53, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10995, 60, 34, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10996, 42, 14, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10997, 32, 32, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10997, 46, 12, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10997, 52, 7, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10998, 24, 4.5, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10998, 61, 28.5, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10998, 74, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10998, 75, 7.75, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10999, 41, 9.65, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10999, 51, 53, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(10999, 77, 13, 21, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11000, 4, 22, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11000, 24, 4.5, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11000, 77, 13, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11001, 7, 30, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11001, 22, 21, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11001, 46, 12, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11001, 55, 24, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11002, 13, 6, 56, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11002, 35, 18, 15, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11002, 42, 14, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11002, 55, 24, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11003, 1, 18, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11003, 40, 18.4, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11003, 52, 7, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11004, 26, 31.23, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11004, 76, 18, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11005, 1, 18, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11005, 59, 55, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11006, 1, 18, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11006, 29, 123.79, 2, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11007, 8, 40, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11007, 29, 123.79, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11007, 42, 14, 14, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11008, 28, 45.6, 70, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11008, 34, 14, 90, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11008, 71, 21.5, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11009, 24, 4.5, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11009, 36, 19, 18, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11009, 60, 34, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11010, 7, 30, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11010, 24, 4.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11011, 58, 13.25, 40, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11011, 71, 21.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11012, 19, 9.2, 50, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11012, 60, 34, 36, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11012, 71, 21.5, 60, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11013, 23, 9, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11013, 42, 14, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11013, 45, 9.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11013, 68, 12.5, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11014, 41, 9.65, 28, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11015, 30, 25.89, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11015, 77, 13, 18, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11016, 31, 12.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11016, 36, 19, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11017, 3, 10, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11017, 59, 55, 110, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11017, 70, 15, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11018, 12, 38, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11018, 18, 62.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11018, 56, 38, 5, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11019, 46, 12, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11019, 49, 20, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11020, 10, 31, 24, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11021, 2, 19, 11, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11021, 20, 81, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11021, 26, 31.23, 63, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11021, 51, 53, 44, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11021, 72, 34.8, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11022, 19, 9.2, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11022, 69, 36, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11023, 7, 30, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11023, 43, 46, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11024, 26, 31.23, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11024, 33, 2.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11024, 65, 21.05, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11024, 71, 21.5, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11025, 1, 18, 10, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11025, 13, 6, 20, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11026, 18, 62.5, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11026, 51, 53, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11027, 24, 4.5, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11027, 62, 49.3, 21, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11028, 55, 24, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11028, 59, 55, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11029, 56, 38, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11029, 63, 43.9, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11030, 2, 19, 100, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11030, 5, 21.35, 70, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11030, 29, 123.79, 60, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11030, 59, 55, 100, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11031, 1, 18, 45, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11031, 13, 6, 80, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11031, 24, 4.5, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11031, 64, 33.25, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11031, 71, 21.5, 16, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11032, 36, 19, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11032, 38, 263.5, 25, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11032, 59, 55, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11033, 53, 32.8, 70, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11033, 69, 36, 36, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11034, 21, 10, 15, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11034, 44, 19.45, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11034, 61, 28.5, 6, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11035, 1, 18, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11035, 35, 18, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11035, 42, 14, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11035, 54, 7.45, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11036, 13, 6, 7, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11036, 59, 55, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11037, 70, 15, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11038, 40, 18.4, 5, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11038, 52, 7, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11038, 71, 21.5, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11039, 28, 45.6, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11039, 35, 18, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11039, 49, 20, 60, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11039, 57, 19.5, 28, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11040, 21, 10, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11041, 2, 19, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11041, 63, 43.9, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11042, 44, 19.45, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11042, 61, 28.5, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11043, 11, 21, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11044, 62, 49.3, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11045, 33, 2.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11045, 51, 53, 24, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11046, 12, 38, 20, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11046, 32, 32, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11046, 35, 18, 18, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11047, 1, 18, 25, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11047, 5, 21.35, 30, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11048, 68, 12.5, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11049, 2, 19, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11049, 12, 38, 4, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11050, 76, 18, 50, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11051, 24, 4.5, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11052, 43, 46, 30, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11052, 61, 28.5, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11053, 18, 62.5, 35, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11053, 32, 32, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11053, 64, 33.25, 25, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11054, 33, 2.5, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11054, 67, 14, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11055, 24, 4.5, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11055, 25, 14, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11055, 51, 53, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11055, 57, 19.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11056, 7, 30, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11056, 55, 24, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11056, 60, 34, 50, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11057, 70, 15, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11058, 21, 10, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11058, 60, 34, 21, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11058, 61, 28.5, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11059, 13, 6, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11059, 17, 39, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11059, 60, 34, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11060, 60, 34, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11060, 77, 13, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11061, 60, 34, 15, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11062, 53, 32.8, 10, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11062, 70, 15, 12, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11063, 34, 14, 30, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11063, 40, 18.4, 40, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11063, 41, 9.65, 30, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11064, 17, 39, 77, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11064, 41, 9.65, 12, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11064, 53, 32.8, 25, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11064, 55, 24, 4, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11064, 68, 12.5, 55, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11065, 30, 25.89, 4, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11065, 54, 7.45, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11066, 16, 17.45, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11066, 19, 9.2, 42, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11066, 34, 14, 35, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11067, 41, 9.65, 9, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11068, 28, 45.6, 8, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11068, 43, 46, 36, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11068, 77, 13, 28, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11069, 39, 18, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11070, 1, 18, 40, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11070, 2, 19, 20, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11070, 16, 17.45, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11070, 31, 12.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11071, 7, 30, 15, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11071, 13, 6, 10, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11072, 2, 19, 8, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11072, 41, 9.65, 40, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11072, 50, 16.25, 22, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11072, 64, 33.25, 130, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11073, 11, 21, 10, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11073, 24, 4.5, 20, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11074, 16, 17.45, 14, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11075, 2, 19, 10, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11075, 46, 12, 30, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11075, 76, 18, 2, 0.15); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11076, 6, 25, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11076, 14, 23.25, 20, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11076, 19, 9.2, 10, 0.25); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 2, 19, 24, 0.2); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 3, 10, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 4, 22, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 6, 25, 1, 0.02); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 7, 30, 1, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 8, 40, 2, 0.1); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 10, 31, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 12, 38, 2, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 13, 6, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 14, 23.25, 1, 0.03); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 16, 17.45, 2, 0.03); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 20, 81, 1, 0.04); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 23, 9, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 32, 32, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 39, 18, 2, 0.05); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 41, 9.65, 3, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 46, 12, 3, 0.02); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 52, 7, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 55, 24, 2, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 60, 34, 2, 0.06); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 64, 33.25, 2, 0.03); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 66, 17, 1, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 73, 15, 2, 0.01); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 75, 7.75, 4, 0.0); +INSERT INTO [Order Details] (OrderID, ProductID, UnitPrice, Quantity, Discount) +VALUES(11077, 77, 13, 2, 0.0); +SELECT * FROM [Order Details]; +--Orders +--Orders +DROP TABLE IF EXISTS [Orders]; +CREATE TABLE [Orders]( + [OrderID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, + [CustomerID]TEXT, + [EmployeeID]INTEGER, + [OrderDate]DATETIME, + [RequiredDate]DATETIME, + [ShippedDate]DATETIME, + [ShipVia]INTEGER, + [Freight]NUMERIC DEFAULT 0, + [ShipName]TEXT, + [ShipAddress]TEXT, + [ShipCity]TEXT, + [ShipRegion]TEXT, + [ShipPostalCode]TEXT, + [ShipCountry]TEXT, + FOREIGN KEY ([EmployeeID]) REFERENCES [Employees] ([EmployeeID]) + ON DELETE NO ACTION ON UPDATE NO ACTION, + FOREIGN KEY ([CustomerID]) REFERENCES [Customers] ([CustomerID]) + ON DELETE NO ACTION ON UPDATE NO ACTION, + FOREIGN KEY ([ShipVia]) REFERENCES [Shippers] ([ShipperID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); +--CREATE INDEX [OrderDate]ON [Orders]("OrderDate" ASC); +--CREATE INDEX [ShippedDate]ON [Orders]("ShippedDate" ASC); +--CREATE INDEX [ShipPostalCode]ON [Orders]("ShipPostalCode" ASC); + +INSERT INTO Orders Values ('10248','VINET',5,'1996-07-04 00:00:00.000','1996-08-01 00:00:00.000','1996-07-16 00:00:00.000',3,32.38,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); +INSERT INTO Orders Values ('10249','TOMSP',6,'1996-07-05 00:00:00.000','1996-08-16 00:00:00.000','1996-07-10 00:00:00.000',1,11.61,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); +INSERT INTO Orders Values ('10250','HANAR',4,'1996-07-08 00:00:00.000','1996-08-05 00:00:00.000','1996-07-12 00:00:00.000',2,65.83,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10251','VICTE',3,'1996-07-08 00:00:00.000','1996-08-05 00:00:00.000','1996-07-15 00:00:00.000',1,41.34,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10252','SUPRD',4,'1996-07-09 00:00:00.000','1996-08-06 00:00:00.000','1996-07-11 00:00:00.000',2,51.3,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10253','HANAR',3,'1996-07-10 00:00:00.000','1996-07-24 00:00:00.000','1996-07-16 00:00:00.000',2,58.17,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10254','CHOPS',5,'1996-07-11 00:00:00.000','1996-08-08 00:00:00.000','1996-07-23 00:00:00.000',2,22.98,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('10255','RICSU',9,'1996-07-12 00:00:00.000','1996-08-09 00:00:00.000','1996-07-15 00:00:00.000',3,148.33,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10256','WELLI',3,'1996-07-15 00:00:00.000','1996-08-12 00:00:00.000','1996-07-17 00:00:00.000',2,13.97,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10257','HILAA',4,'1996-07-16 00:00:00.000','1996-08-13 00:00:00.000','1996-07-22 00:00:00.000',3,81.91,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10258','ERNSH',1,'1996-07-17 00:00:00.000','1996-08-14 00:00:00.000','1996-07-23 00:00:00.000',1,140.51,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10259','CENTC',4,'1996-07-18 00:00:00.000','1996-08-15 00:00:00.000','1996-07-25 00:00:00.000',3,3.25,'Centro comercial Moctezuma','Sierras de Granada 9993','M�xico D.F.',NULL,'5022','Mexico'); +INSERT INTO Orders Values ('10260','OTTIK',4,'1996-07-19 00:00:00.000','1996-08-16 00:00:00.000','1996-07-29 00:00:00.000',1,55.09,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10261','QUEDE',4,'1996-07-19 00:00:00.000','1996-08-16 00:00:00.000','1996-07-30 00:00:00.000',2,3.05,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10262','RATTC',8,'1996-07-22 00:00:00.000','1996-08-19 00:00:00.000','1996-07-25 00:00:00.000',3,48.29,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10263','ERNSH',9,'1996-07-23 00:00:00.000','1996-08-20 00:00:00.000','1996-07-31 00:00:00.000',3,146.06,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10264','FOLKO',6,'1996-07-24 00:00:00.000','1996-08-21 00:00:00.000','1996-08-23 00:00:00.000',3,3.67,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10265','BLONP',2,'1996-07-25 00:00:00.000','1996-08-22 00:00:00.000','1996-08-12 00:00:00.000',1,55.28,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10266','WARTH',3,'1996-07-26 00:00:00.000','1996-09-06 00:00:00.000','1996-07-31 00:00:00.000',3,25.73,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10267','FRANK',4,'1996-07-29 00:00:00.000','1996-08-26 00:00:00.000','1996-08-06 00:00:00.000',1,208.58,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10268','GROSR',8,'1996-07-30 00:00:00.000','1996-08-27 00:00:00.000','1996-08-02 00:00:00.000',3,66.29,'GROSELLA-Restaurante','5� Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela'); +INSERT INTO Orders Values ('10269','WHITC',5,'1996-07-31 00:00:00.000','1996-08-14 00:00:00.000','1996-08-09 00:00:00.000',1,4.56,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10270','WARTH',1,'1996-08-01 00:00:00.000','1996-08-29 00:00:00.000','1996-08-02 00:00:00.000',1,136.54,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10271','SPLIR',6,'1996-08-01 00:00:00.000','1996-08-29 00:00:00.000','1996-08-30 00:00:00.000',2,4.54,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10272','RATTC',6,'1996-08-02 00:00:00.000','1996-08-30 00:00:00.000','1996-08-06 00:00:00.000',2,98.03,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10273','QUICK',3,'1996-08-05 00:00:00.000','1996-09-02 00:00:00.000','1996-08-12 00:00:00.000',3,76.07,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10274','VINET',6,'1996-08-06 00:00:00.000','1996-09-03 00:00:00.000','1996-08-16 00:00:00.000',1,6.01,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); +INSERT INTO Orders Values ('10275','MAGAA',1,'1996-08-07 00:00:00.000','1996-09-04 00:00:00.000','1996-08-09 00:00:00.000',1,26.93,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10276','TORTU',8,'1996-08-08 00:00:00.000','1996-08-22 00:00:00.000','1996-08-14 00:00:00.000',3,13.84,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10277','MORGK',2,'1996-08-09 00:00:00.000','1996-09-06 00:00:00.000','1996-08-13 00:00:00.000',3,125.77,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); +INSERT INTO Orders Values ('10278','BERGS',8,'1996-08-12 00:00:00.000','1996-09-09 00:00:00.000','1996-08-16 00:00:00.000',2,92.69,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10279','LEHMS',8,'1996-08-13 00:00:00.000','1996-09-10 00:00:00.000','1996-08-16 00:00:00.000',2,25.83,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10280','BERGS',2,'1996-08-14 00:00:00.000','1996-09-11 00:00:00.000','1996-09-12 00:00:00.000',1,8.98,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10281','ROMEY',4,'1996-08-14 00:00:00.000','1996-08-28 00:00:00.000','1996-08-21 00:00:00.000',1,2.94,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); +INSERT INTO Orders Values ('10282','ROMEY',4,'1996-08-15 00:00:00.000','1996-09-12 00:00:00.000','1996-08-21 00:00:00.000',1,12.69,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); +INSERT INTO Orders Values ('10283','LILAS',3,'1996-08-16 00:00:00.000','1996-09-13 00:00:00.000','1996-08-23 00:00:00.000',3,84.81,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10284','LEHMS',4,'1996-08-19 00:00:00.000','1996-09-16 00:00:00.000','1996-08-27 00:00:00.000',1,76.56,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10285','QUICK',1,'1996-08-20 00:00:00.000','1996-09-17 00:00:00.000','1996-08-26 00:00:00.000',2,76.83,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10286','QUICK',8,'1996-08-21 00:00:00.000','1996-09-18 00:00:00.000','1996-08-30 00:00:00.000',3,229.24,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10287','RICAR',8,'1996-08-22 00:00:00.000','1996-09-19 00:00:00.000','1996-08-28 00:00:00.000',3,12.76,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10288','REGGC',4,'1996-08-23 00:00:00.000','1996-09-20 00:00:00.000','1996-09-03 00:00:00.000',1,7.45,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10289','BSBEV',7,'1996-08-26 00:00:00.000','1996-09-23 00:00:00.000','1996-08-28 00:00:00.000',3,22.77,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10290','COMMI',8,'1996-08-27 00:00:00.000','1996-09-24 00:00:00.000','1996-09-03 00:00:00.000',1,79.7,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); +INSERT INTO Orders Values ('10291','QUEDE',6,'1996-08-27 00:00:00.000','1996-09-24 00:00:00.000','1996-09-04 00:00:00.000',2,6.4,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10292','TRADH',1,'1996-08-28 00:00:00.000','1996-09-25 00:00:00.000','1996-09-02 00:00:00.000',2,1.35,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); +INSERT INTO Orders Values ('10293','TORTU',1,'1996-08-29 00:00:00.000','1996-09-26 00:00:00.000','1996-09-11 00:00:00.000',3,21.18,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10294','RATTC',4,'1996-08-30 00:00:00.000','1996-09-27 00:00:00.000','1996-09-05 00:00:00.000',2,147.26,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10295','VINET',2,'1996-09-02 00:00:00.000','1996-09-30 00:00:00.000','1996-09-10 00:00:00.000',2,1.15,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); +INSERT INTO Orders Values ('10296','LILAS',6,'1996-09-03 00:00:00.000','1996-10-01 00:00:00.000','1996-09-11 00:00:00.000',1,0.12,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10297','BLONP',5,'1996-09-04 00:00:00.000','1996-10-16 00:00:00.000','1996-09-10 00:00:00.000',2,5.74,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10298','HUNGO',6,'1996-09-05 00:00:00.000','1996-10-03 00:00:00.000','1996-09-11 00:00:00.000',2,168.22,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10299','RICAR',4,'1996-09-06 00:00:00.000','1996-10-04 00:00:00.000','1996-09-13 00:00:00.000',2,29.76,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10300','MAGAA',2,'1996-09-09 00:00:00.000','1996-10-07 00:00:00.000','1996-09-18 00:00:00.000',2,17.68,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10301','WANDK',8,'1996-09-09 00:00:00.000','1996-10-07 00:00:00.000','1996-09-17 00:00:00.000',2,45.08,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10302','SUPRD',4,'1996-09-10 00:00:00.000','1996-10-08 00:00:00.000','1996-10-09 00:00:00.000',2,6.27,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10303','GODOS',7,'1996-09-11 00:00:00.000','1996-10-09 00:00:00.000','1996-09-18 00:00:00.000',2,107.83,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10304','TORTU',1,'1996-09-12 00:00:00.000','1996-10-10 00:00:00.000','1996-09-17 00:00:00.000',2,63.79,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10305','OLDWO',8,'1996-09-13 00:00:00.000','1996-10-11 00:00:00.000','1996-10-09 00:00:00.000',3,257.62,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10306','ROMEY',1,'1996-09-16 00:00:00.000','1996-10-14 00:00:00.000','1996-09-23 00:00:00.000',3,7.56,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); +INSERT INTO Orders Values ('10307','LONEP',2,'1996-09-17 00:00:00.000','1996-10-15 00:00:00.000','1996-09-25 00:00:00.000',2,0.56,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10308','ANATR',7,'1996-09-18 00:00:00.000','1996-10-16 00:00:00.000','1996-09-24 00:00:00.000',3,1.61,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); +INSERT INTO Orders Values ('10309','HUNGO',3,'1996-09-19 00:00:00.000','1996-10-17 00:00:00.000','1996-10-23 00:00:00.000',1,47.3,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10310','THEBI',8,'1996-09-20 00:00:00.000','1996-10-18 00:00:00.000','1996-09-27 00:00:00.000',2,17.52,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); +INSERT INTO Orders Values ('10311','DUMON',1,'1996-09-20 00:00:00.000','1996-10-04 00:00:00.000','1996-09-26 00:00:00.000',3,24.69,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10312','WANDK',2,'1996-09-23 00:00:00.000','1996-10-21 00:00:00.000','1996-10-03 00:00:00.000',2,40.26,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10313','QUICK',2,'1996-09-24 00:00:00.000','1996-10-22 00:00:00.000','1996-10-04 00:00:00.000',2,1.96,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10314','RATTC',1,'1996-09-25 00:00:00.000','1996-10-23 00:00:00.000','1996-10-04 00:00:00.000',2,74.16,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10315','ISLAT',4,'1996-09-26 00:00:00.000','1996-10-24 00:00:00.000','1996-10-03 00:00:00.000',2,41.76,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10316','RATTC',1,'1996-09-27 00:00:00.000','1996-10-25 00:00:00.000','1996-10-08 00:00:00.000',3,150.15,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10317','LONEP',6,'1996-09-30 00:00:00.000','1996-10-28 00:00:00.000','1996-10-10 00:00:00.000',1,12.69,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10318','ISLAT',8,'1996-10-01 00:00:00.000','1996-10-29 00:00:00.000','1996-10-04 00:00:00.000',2,4.73,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10319','TORTU',7,'1996-10-02 00:00:00.000','1996-10-30 00:00:00.000','1996-10-11 00:00:00.000',3,64.5,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10320','WARTH',5,'1996-10-03 00:00:00.000','1996-10-17 00:00:00.000','1996-10-18 00:00:00.000',3,34.57,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10321','ISLAT',3,'1996-10-03 00:00:00.000','1996-10-31 00:00:00.000','1996-10-11 00:00:00.000',2,3.43,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10322','PERIC',7,'1996-10-04 00:00:00.000','1996-11-01 00:00:00.000','1996-10-23 00:00:00.000',3,0.4,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10323','KOENE',4,'1996-10-07 00:00:00.000','1996-11-04 00:00:00.000','1996-10-14 00:00:00.000',1,4.88,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10324','SAVEA',9,'1996-10-08 00:00:00.000','1996-11-05 00:00:00.000','1996-10-10 00:00:00.000',1,214.27,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10325','KOENE',1,'1996-10-09 00:00:00.000','1996-10-23 00:00:00.000','1996-10-14 00:00:00.000',3,64.86,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10326','BOLID',4,'1996-10-10 00:00:00.000','1996-11-07 00:00:00.000','1996-10-14 00:00:00.000',2,77.92,'B�lido Comidas preparadas','C/ Araquil, 67','Madrid',NULL,'28023','Spain'); +INSERT INTO Orders Values ('10327','FOLKO',2,'1996-10-11 00:00:00.000','1996-11-08 00:00:00.000','1996-10-14 00:00:00.000',1,63.36,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10328','FURIB',4,'1996-10-14 00:00:00.000','1996-11-11 00:00:00.000','1996-10-17 00:00:00.000',3,87.03,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10329','SPLIR',4,'1996-10-15 00:00:00.000','1996-11-26 00:00:00.000','1996-10-23 00:00:00.000',2,191.67,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10330','LILAS',3,'1996-10-16 00:00:00.000','1996-11-13 00:00:00.000','1996-10-28 00:00:00.000',1,12.75,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10331','BONAP',9,'1996-10-16 00:00:00.000','1996-11-27 00:00:00.000','1996-10-21 00:00:00.000',1,10.19,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10332','MEREP',3,'1996-10-17 00:00:00.000','1996-11-28 00:00:00.000','1996-10-21 00:00:00.000',2,52.84,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10333','WARTH',5,'1996-10-18 00:00:00.000','1996-11-15 00:00:00.000','1996-10-25 00:00:00.000',3,0.59,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10334','VICTE',8,'1996-10-21 00:00:00.000','1996-11-18 00:00:00.000','1996-10-28 00:00:00.000',2,8.56,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10335','HUNGO',7,'1996-10-22 00:00:00.000','1996-11-19 00:00:00.000','1996-10-24 00:00:00.000',2,42.11,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10336','PRINI',7,'1996-10-23 00:00:00.000','1996-11-20 00:00:00.000','1996-10-25 00:00:00.000',2,15.51,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); +INSERT INTO Orders Values ('10337','FRANK',4,'1996-10-24 00:00:00.000','1996-11-21 00:00:00.000','1996-10-29 00:00:00.000',3,108.26,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10338','OLDWO',4,'1996-10-25 00:00:00.000','1996-11-22 00:00:00.000','1996-10-29 00:00:00.000',3,84.21,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10339','MEREP',2,'1996-10-28 00:00:00.000','1996-11-25 00:00:00.000','1996-11-04 00:00:00.000',2,15.66,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10340','BONAP',1,'1996-10-29 00:00:00.000','1996-11-26 00:00:00.000','1996-11-08 00:00:00.000',3,166.31,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10341','SIMOB',7,'1996-10-29 00:00:00.000','1996-11-26 00:00:00.000','1996-11-05 00:00:00.000',3,26.78,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('10342','FRANK',4,'1996-10-30 00:00:00.000','1996-11-13 00:00:00.000','1996-11-04 00:00:00.000',2,54.83,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10343','LEHMS',4,'1996-10-31 00:00:00.000','1996-11-28 00:00:00.000','1996-11-06 00:00:00.000',1,110.37,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10344','WHITC',4,'1996-11-01 00:00:00.000','1996-11-29 00:00:00.000','1996-11-05 00:00:00.000',2,23.29,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10345','QUICK',2,'1996-11-04 00:00:00.000','1996-12-02 00:00:00.000','1996-11-11 00:00:00.000',2,249.06,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10346','RATTC',3,'1996-11-05 00:00:00.000','1996-12-17 00:00:00.000','1996-11-08 00:00:00.000',3,142.08,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10347','FAMIA',4,'1996-11-06 00:00:00.000','1996-12-04 00:00:00.000','1996-11-08 00:00:00.000',3,3.1,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10348','WANDK',4,'1996-11-07 00:00:00.000','1996-12-05 00:00:00.000','1996-11-15 00:00:00.000',2,0.78,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10349','SPLIR',7,'1996-11-08 00:00:00.000','1996-12-06 00:00:00.000','1996-11-15 00:00:00.000',1,8.63,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10350','LAMAI',6,'1996-11-11 00:00:00.000','1996-12-09 00:00:00.000','1996-12-03 00:00:00.000',2,64.19,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10351','ERNSH',1,'1996-11-11 00:00:00.000','1996-12-09 00:00:00.000','1996-11-20 00:00:00.000',1,162.33,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10352','FURIB',3,'1996-11-12 00:00:00.000','1996-11-26 00:00:00.000','1996-11-18 00:00:00.000',3,1.3,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10353','PICCO',7,'1996-11-13 00:00:00.000','1996-12-11 00:00:00.000','1996-11-25 00:00:00.000',3,360.63,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10354','PERIC',8,'1996-11-14 00:00:00.000','1996-12-12 00:00:00.000','1996-11-20 00:00:00.000',3,53.8,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10355','AROUT',6,'1996-11-15 00:00:00.000','1996-12-13 00:00:00.000','1996-11-20 00:00:00.000',1,41.95,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10356','WANDK',6,'1996-11-18 00:00:00.000','1996-12-16 00:00:00.000','1996-11-27 00:00:00.000',2,36.71,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10357','LILAS',1,'1996-11-19 00:00:00.000','1996-12-17 00:00:00.000','1996-12-02 00:00:00.000',3,34.88,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10358','LAMAI',5,'1996-11-20 00:00:00.000','1996-12-18 00:00:00.000','1996-11-27 00:00:00.000',1,19.64,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10359','SEVES',5,'1996-11-21 00:00:00.000','1996-12-19 00:00:00.000','1996-11-26 00:00:00.000',3,288.43,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10360','BLONP',4,'1996-11-22 00:00:00.000','1996-12-20 00:00:00.000','1996-12-02 00:00:00.000',3,131.7,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10361','QUICK',1,'1996-11-22 00:00:00.000','1996-12-20 00:00:00.000','1996-12-03 00:00:00.000',2,183.17,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10362','BONAP',3,'1996-11-25 00:00:00.000','1996-12-23 00:00:00.000','1996-11-28 00:00:00.000',1,96.04,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10363','DRACD',4,'1996-11-26 00:00:00.000','1996-12-24 00:00:00.000','1996-12-04 00:00:00.000',3,30.54,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); +INSERT INTO Orders Values ('10364','EASTC',1,'1996-11-26 00:00:00.000','1997-01-07 00:00:00.000','1996-12-04 00:00:00.000',1,71.97,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('10365','ANTON',3,'1996-11-27 00:00:00.000','1996-12-25 00:00:00.000','1996-12-02 00:00:00.000',2,22,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10366','GALED',8,'1996-11-28 00:00:00.000','1997-01-09 00:00:00.000','1996-12-30 00:00:00.000',2,10.14,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); +INSERT INTO Orders Values ('10367','VAFFE',7,'1996-11-28 00:00:00.000','1996-12-26 00:00:00.000','1996-12-02 00:00:00.000',3,13.55,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10368','ERNSH',2,'1996-11-29 00:00:00.000','1996-12-27 00:00:00.000','1996-12-02 00:00:00.000',2,101.95,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10369','SPLIR',8,'1996-12-02 00:00:00.000','1996-12-30 00:00:00.000','1996-12-09 00:00:00.000',2,195.68,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10370','CHOPS',6,'1996-12-03 00:00:00.000','1996-12-31 00:00:00.000','1996-12-27 00:00:00.000',2,1.17,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('10371','LAMAI',1,'1996-12-03 00:00:00.000','1996-12-31 00:00:00.000','1996-12-24 00:00:00.000',1,0.45,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10372','QUEEN',5,'1996-12-04 00:00:00.000','1997-01-01 00:00:00.000','1996-12-09 00:00:00.000',2,890.78,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10373','HUNGO',4,'1996-12-05 00:00:00.000','1997-01-02 00:00:00.000','1996-12-11 00:00:00.000',3,124.12,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10374','WOLZA',1,'1996-12-05 00:00:00.000','1997-01-02 00:00:00.000','1996-12-09 00:00:00.000',3,3.94,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('10375','HUNGC',3,'1996-12-06 00:00:00.000','1997-01-03 00:00:00.000','1996-12-09 00:00:00.000',2,20.12,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); +INSERT INTO Orders Values ('10376','MEREP',1,'1996-12-09 00:00:00.000','1997-01-06 00:00:00.000','1996-12-13 00:00:00.000',2,20.39,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10377','SEVES',1,'1996-12-09 00:00:00.000','1997-01-06 00:00:00.000','1996-12-13 00:00:00.000',3,22.21,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10378','FOLKO',5,'1996-12-10 00:00:00.000','1997-01-07 00:00:00.000','1996-12-19 00:00:00.000',3,5.44,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10379','QUEDE',2,'1996-12-11 00:00:00.000','1997-01-08 00:00:00.000','1996-12-13 00:00:00.000',1,45.03,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10380','HUNGO',8,'1996-12-12 00:00:00.000','1997-01-09 00:00:00.000','1997-01-16 00:00:00.000',3,35.03,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10381','LILAS',3,'1996-12-12 00:00:00.000','1997-01-09 00:00:00.000','1996-12-13 00:00:00.000',3,7.99,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10382','ERNSH',4,'1996-12-13 00:00:00.000','1997-01-10 00:00:00.000','1996-12-16 00:00:00.000',1,94.77,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10383','AROUT',8,'1996-12-16 00:00:00.000','1997-01-13 00:00:00.000','1996-12-18 00:00:00.000',3,34.24,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10384','BERGS',3,'1996-12-16 00:00:00.000','1997-01-13 00:00:00.000','1996-12-20 00:00:00.000',3,168.64,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10385','SPLIR',1,'1996-12-17 00:00:00.000','1997-01-14 00:00:00.000','1996-12-23 00:00:00.000',2,30.96,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10386','FAMIA',9,'1996-12-18 00:00:00.000','1997-01-01 00:00:00.000','1996-12-25 00:00:00.000',3,13.99,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10387','SANTG',1,'1996-12-18 00:00:00.000','1997-01-15 00:00:00.000','1996-12-20 00:00:00.000',2,93.63,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); +INSERT INTO Orders Values ('10388','SEVES',2,'1996-12-19 00:00:00.000','1997-01-16 00:00:00.000','1996-12-20 00:00:00.000',1,34.86,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10389','BOTTM',4,'1996-12-20 00:00:00.000','1997-01-17 00:00:00.000','1996-12-24 00:00:00.000',2,47.42,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10390','ERNSH',6,'1996-12-23 00:00:00.000','1997-01-20 00:00:00.000','1996-12-26 00:00:00.000',1,126.38,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10391','DRACD',3,'1996-12-23 00:00:00.000','1997-01-20 00:00:00.000','1996-12-31 00:00:00.000',3,5.45,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); +INSERT INTO Orders Values ('10392','PICCO',2,'1996-12-24 00:00:00.000','1997-01-21 00:00:00.000','1997-01-01 00:00:00.000',3,122.46,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10393','SAVEA',1,'1996-12-25 00:00:00.000','1997-01-22 00:00:00.000','1997-01-03 00:00:00.000',3,126.56,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10394','HUNGC',1,'1996-12-25 00:00:00.000','1997-01-22 00:00:00.000','1997-01-03 00:00:00.000',3,30.34,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); +INSERT INTO Orders Values ('10395','HILAA',6,'1996-12-26 00:00:00.000','1997-01-23 00:00:00.000','1997-01-03 00:00:00.000',1,184.41,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10396','FRANK',1,'1996-12-27 00:00:00.000','1997-01-10 00:00:00.000','1997-01-06 00:00:00.000',3,135.35,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10397','PRINI',5,'1996-12-27 00:00:00.000','1997-01-24 00:00:00.000','1997-01-02 00:00:00.000',1,60.26,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); +INSERT INTO Orders Values ('10398','SAVEA',2,'1996-12-30 00:00:00.000','1997-01-27 00:00:00.000','1997-01-09 00:00:00.000',3,89.16,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10399','VAFFE',8,'1996-12-31 00:00:00.000','1997-01-14 00:00:00.000','1997-01-08 00:00:00.000',3,27.36,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10400','EASTC',1,'1997-01-01 00:00:00.000','1997-01-29 00:00:00.000','1997-01-16 00:00:00.000',3,83.93,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('10401','RATTC',1,'1997-01-01 00:00:00.000','1997-01-29 00:00:00.000','1997-01-10 00:00:00.000',1,12.51,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10402','ERNSH',8,'1997-01-02 00:00:00.000','1997-02-13 00:00:00.000','1997-01-10 00:00:00.000',2,67.88,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10403','ERNSH',4,'1997-01-03 00:00:00.000','1997-01-31 00:00:00.000','1997-01-09 00:00:00.000',3,73.79,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10404','MAGAA',2,'1997-01-03 00:00:00.000','1997-01-31 00:00:00.000','1997-01-08 00:00:00.000',1,155.97,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10405','LINOD',1,'1997-01-06 00:00:00.000','1997-02-03 00:00:00.000','1997-01-22 00:00:00.000',1,34.82,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10406','QUEEN',7,'1997-01-07 00:00:00.000','1997-02-18 00:00:00.000','1997-01-13 00:00:00.000',1,108.04,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10407','OTTIK',2,'1997-01-07 00:00:00.000','1997-02-04 00:00:00.000','1997-01-30 00:00:00.000',2,91.48,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10408','FOLIG',8,'1997-01-08 00:00:00.000','1997-02-05 00:00:00.000','1997-01-14 00:00:00.000',1,11.26,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); +INSERT INTO Orders Values ('10409','OCEAN',3,'1997-01-09 00:00:00.000','1997-02-06 00:00:00.000','1997-01-14 00:00:00.000',1,29.83,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10410','BOTTM',3,'1997-01-10 00:00:00.000','1997-02-07 00:00:00.000','1997-01-15 00:00:00.000',3,2.4,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10411','BOTTM',9,'1997-01-10 00:00:00.000','1997-02-07 00:00:00.000','1997-01-21 00:00:00.000',3,23.65,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10412','WARTH',8,'1997-01-13 00:00:00.000','1997-02-10 00:00:00.000','1997-01-15 00:00:00.000',2,3.77,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10413','LAMAI',3,'1997-01-14 00:00:00.000','1997-02-11 00:00:00.000','1997-01-16 00:00:00.000',2,95.66,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10414','FAMIA',2,'1997-01-14 00:00:00.000','1997-02-11 00:00:00.000','1997-01-17 00:00:00.000',3,21.48,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10415','HUNGC',3,'1997-01-15 00:00:00.000','1997-02-12 00:00:00.000','1997-01-24 00:00:00.000',1,0.2,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); +INSERT INTO Orders Values ('10416','WARTH',8,'1997-01-16 00:00:00.000','1997-02-13 00:00:00.000','1997-01-27 00:00:00.000',3,22.72,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10417','SIMOB',4,'1997-01-16 00:00:00.000','1997-02-13 00:00:00.000','1997-01-28 00:00:00.000',3,70.29,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('10418','QUICK',4,'1997-01-17 00:00:00.000','1997-02-14 00:00:00.000','1997-01-24 00:00:00.000',1,17.55,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10419','RICSU',4,'1997-01-20 00:00:00.000','1997-02-17 00:00:00.000','1997-01-30 00:00:00.000',2,137.35,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10420','WELLI',3,'1997-01-21 00:00:00.000','1997-02-18 00:00:00.000','1997-01-27 00:00:00.000',1,44.12,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10421','QUEDE',8,'1997-01-21 00:00:00.000','1997-03-04 00:00:00.000','1997-01-27 00:00:00.000',1,99.23,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10422','FRANS',2,'1997-01-22 00:00:00.000','1997-02-19 00:00:00.000','1997-01-31 00:00:00.000',1,3.02,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); +INSERT INTO Orders Values ('10423','GOURL',6,'1997-01-23 00:00:00.000','1997-02-06 00:00:00.000','1997-02-24 00:00:00.000',3,24.5,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10424','MEREP',7,'1997-01-23 00:00:00.000','1997-02-20 00:00:00.000','1997-01-27 00:00:00.000',2,370.61,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10425','LAMAI',6,'1997-01-24 00:00:00.000','1997-02-21 00:00:00.000','1997-02-14 00:00:00.000',2,7.93,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10426','GALED',4,'1997-01-27 00:00:00.000','1997-02-24 00:00:00.000','1997-02-06 00:00:00.000',1,18.69,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); +INSERT INTO Orders Values ('10427','PICCO',4,'1997-01-27 00:00:00.000','1997-02-24 00:00:00.000','1997-03-03 00:00:00.000',2,31.29,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10428','REGGC',7,'1997-01-28 00:00:00.000','1997-02-25 00:00:00.000','1997-02-04 00:00:00.000',1,11.09,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10429','HUNGO',3,'1997-01-29 00:00:00.000','1997-03-12 00:00:00.000','1997-02-07 00:00:00.000',2,56.63,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10430','ERNSH',4,'1997-01-30 00:00:00.000','1997-02-13 00:00:00.000','1997-02-03 00:00:00.000',1,458.78,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10431','BOTTM',4,'1997-01-30 00:00:00.000','1997-02-13 00:00:00.000','1997-02-07 00:00:00.000',2,44.17,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10432','SPLIR',3,'1997-01-31 00:00:00.000','1997-02-14 00:00:00.000','1997-02-07 00:00:00.000',2,4.34,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10433','PRINI',3,'1997-02-03 00:00:00.000','1997-03-03 00:00:00.000','1997-03-04 00:00:00.000',3,73.83,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); +INSERT INTO Orders Values ('10434','FOLKO',3,'1997-02-03 00:00:00.000','1997-03-03 00:00:00.000','1997-02-13 00:00:00.000',2,17.92,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10435','CONSH',8,'1997-02-04 00:00:00.000','1997-03-18 00:00:00.000','1997-02-07 00:00:00.000',2,9.21,'Consolidated Holdings','Berkeley Gardens 12 �Brewery','London',NULL,'WX1 6LT','UK'); +INSERT INTO Orders Values ('10436','BLONP',3,'1997-02-05 00:00:00.000','1997-03-05 00:00:00.000','1997-02-11 00:00:00.000',2,156.66,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10437','WARTH',8,'1997-02-05 00:00:00.000','1997-03-05 00:00:00.000','1997-02-12 00:00:00.000',1,19.97,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10438','TOMSP',3,'1997-02-06 00:00:00.000','1997-03-06 00:00:00.000','1997-02-14 00:00:00.000',2,8.24,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); +INSERT INTO Orders Values ('10439','MEREP',6,'1997-02-07 00:00:00.000','1997-03-07 00:00:00.000','1997-02-10 00:00:00.000',3,4.07,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10440','SAVEA',4,'1997-02-10 00:00:00.000','1997-03-10 00:00:00.000','1997-02-28 00:00:00.000',2,86.53,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10441','OLDWO',3,'1997-02-10 00:00:00.000','1997-03-24 00:00:00.000','1997-03-14 00:00:00.000',2,73.02,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10442','ERNSH',3,'1997-02-11 00:00:00.000','1997-03-11 00:00:00.000','1997-02-18 00:00:00.000',2,47.94,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10443','REGGC',8,'1997-02-12 00:00:00.000','1997-03-12 00:00:00.000','1997-02-14 00:00:00.000',1,13.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10444','BERGS',3,'1997-02-12 00:00:00.000','1997-03-12 00:00:00.000','1997-02-21 00:00:00.000',3,3.5,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10445','BERGS',3,'1997-02-13 00:00:00.000','1997-03-13 00:00:00.000','1997-02-20 00:00:00.000',1,9.3,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10446','TOMSP',6,'1997-02-14 00:00:00.000','1997-03-14 00:00:00.000','1997-02-19 00:00:00.000',1,14.68,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); +INSERT INTO Orders Values ('10447','RICAR',4,'1997-02-14 00:00:00.000','1997-03-14 00:00:00.000','1997-03-07 00:00:00.000',2,68.66,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10448','RANCH',4,'1997-02-17 00:00:00.000','1997-03-17 00:00:00.000','1997-02-24 00:00:00.000',2,38.82,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10449','BLONP',3,'1997-02-18 00:00:00.000','1997-03-18 00:00:00.000','1997-02-27 00:00:00.000',2,53.3,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10450','VICTE',8,'1997-02-19 00:00:00.000','1997-03-19 00:00:00.000','1997-03-11 00:00:00.000',2,7.23,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10451','QUICK',4,'1997-02-19 00:00:00.000','1997-03-05 00:00:00.000','1997-03-12 00:00:00.000',3,189.09,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10452','SAVEA',8,'1997-02-20 00:00:00.000','1997-03-20 00:00:00.000','1997-02-26 00:00:00.000',1,140.26,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10453','AROUT',1,'1997-02-21 00:00:00.000','1997-03-21 00:00:00.000','1997-02-26 00:00:00.000',2,25.36,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10454','LAMAI',4,'1997-02-21 00:00:00.000','1997-03-21 00:00:00.000','1997-02-25 00:00:00.000',3,2.74,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10455','WARTH',8,'1997-02-24 00:00:00.000','1997-04-07 00:00:00.000','1997-03-03 00:00:00.000',2,180.45,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10456','KOENE',8,'1997-02-25 00:00:00.000','1997-04-08 00:00:00.000','1997-02-28 00:00:00.000',2,8.12,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10457','KOENE',2,'1997-02-25 00:00:00.000','1997-03-25 00:00:00.000','1997-03-03 00:00:00.000',1,11.57,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10458','SUPRD',7,'1997-02-26 00:00:00.000','1997-03-26 00:00:00.000','1997-03-04 00:00:00.000',3,147.06,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10459','VICTE',4,'1997-02-27 00:00:00.000','1997-03-27 00:00:00.000','1997-02-28 00:00:00.000',2,25.09,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10460','FOLKO',8,'1997-02-28 00:00:00.000','1997-03-28 00:00:00.000','1997-03-03 00:00:00.000',1,16.27,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10461','LILAS',1,'1997-02-28 00:00:00.000','1997-03-28 00:00:00.000','1997-03-05 00:00:00.000',3,148.61,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10462','CONSH',2,'1997-03-03 00:00:00.000','1997-03-31 00:00:00.000','1997-03-18 00:00:00.000',1,6.17,'Consolidated Holdings','Berkeley Gardens 12 �Brewery','London',NULL,'WX1 6LT','UK'); +INSERT INTO Orders Values ('10463','SUPRD',5,'1997-03-04 00:00:00.000','1997-04-01 00:00:00.000','1997-03-06 00:00:00.000',3,14.78,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10464','FURIB',4,'1997-03-04 00:00:00.000','1997-04-01 00:00:00.000','1997-03-14 00:00:00.000',2,89,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10465','VAFFE',1,'1997-03-05 00:00:00.000','1997-04-02 00:00:00.000','1997-03-14 00:00:00.000',3,145.04,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10466','COMMI',4,'1997-03-06 00:00:00.000','1997-04-03 00:00:00.000','1997-03-13 00:00:00.000',1,11.93,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); +INSERT INTO Orders Values ('10467','MAGAA',8,'1997-03-06 00:00:00.000','1997-04-03 00:00:00.000','1997-03-11 00:00:00.000',2,4.93,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10468','KOENE',3,'1997-03-07 00:00:00.000','1997-04-04 00:00:00.000','1997-03-12 00:00:00.000',3,44.12,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10469','WHITC',1,'1997-03-10 00:00:00.000','1997-04-07 00:00:00.000','1997-03-14 00:00:00.000',1,60.18,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10470','BONAP',4,'1997-03-11 00:00:00.000','1997-04-08 00:00:00.000','1997-03-14 00:00:00.000',2,64.56,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10471','BSBEV',2,'1997-03-11 00:00:00.000','1997-04-08 00:00:00.000','1997-03-18 00:00:00.000',3,45.59,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10472','SEVES',8,'1997-03-12 00:00:00.000','1997-04-09 00:00:00.000','1997-03-19 00:00:00.000',1,4.2,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10473','ISLAT',1,'1997-03-13 00:00:00.000','1997-03-27 00:00:00.000','1997-03-21 00:00:00.000',3,16.37,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10474','PERIC',5,'1997-03-13 00:00:00.000','1997-04-10 00:00:00.000','1997-03-21 00:00:00.000',2,83.49,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10475','SUPRD',9,'1997-03-14 00:00:00.000','1997-04-11 00:00:00.000','1997-04-04 00:00:00.000',1,68.52,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10476','HILAA',8,'1997-03-17 00:00:00.000','1997-04-14 00:00:00.000','1997-03-24 00:00:00.000',3,4.41,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10477','PRINI',5,'1997-03-17 00:00:00.000','1997-04-14 00:00:00.000','1997-03-25 00:00:00.000',2,13.02,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); +INSERT INTO Orders Values ('10478','VICTE',2,'1997-03-18 00:00:00.000','1997-04-01 00:00:00.000','1997-03-26 00:00:00.000',3,4.81,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10479','RATTC',3,'1997-03-19 00:00:00.000','1997-04-16 00:00:00.000','1997-03-21 00:00:00.000',3,708.95,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10480','FOLIG',6,'1997-03-20 00:00:00.000','1997-04-17 00:00:00.000','1997-03-24 00:00:00.000',2,1.35,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); +INSERT INTO Orders Values ('10481','RICAR',8,'1997-03-20 00:00:00.000','1997-04-17 00:00:00.000','1997-03-25 00:00:00.000',2,64.33,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10482','LAZYK',1,'1997-03-21 00:00:00.000','1997-04-18 00:00:00.000','1997-04-10 00:00:00.000',3,7.48,'Lazy K Kountry Store','12 Orchestra Terrace','Walla Walla','WA','99362','USA'); +INSERT INTO Orders Values ('10483','WHITC',7,'1997-03-24 00:00:00.000','1997-04-21 00:00:00.000','1997-04-25 00:00:00.000',2,15.28,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10484','BSBEV',3,'1997-03-24 00:00:00.000','1997-04-21 00:00:00.000','1997-04-01 00:00:00.000',3,6.88,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10485','LINOD',4,'1997-03-25 00:00:00.000','1997-04-08 00:00:00.000','1997-03-31 00:00:00.000',2,64.45,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10486','HILAA',1,'1997-03-26 00:00:00.000','1997-04-23 00:00:00.000','1997-04-02 00:00:00.000',2,30.53,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10487','QUEEN',2,'1997-03-26 00:00:00.000','1997-04-23 00:00:00.000','1997-03-28 00:00:00.000',2,71.07,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10488','FRANK',8,'1997-03-27 00:00:00.000','1997-04-24 00:00:00.000','1997-04-02 00:00:00.000',2,4.93,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10489','PICCO',6,'1997-03-28 00:00:00.000','1997-04-25 00:00:00.000','1997-04-09 00:00:00.000',2,5.29,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10490','HILAA',7,'1997-03-31 00:00:00.000','1997-04-28 00:00:00.000','1997-04-03 00:00:00.000',2,210.19,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10491','FURIB',8,'1997-03-31 00:00:00.000','1997-04-28 00:00:00.000','1997-04-08 00:00:00.000',3,16.96,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10492','BOTTM',3,'1997-04-01 00:00:00.000','1997-04-29 00:00:00.000','1997-04-11 00:00:00.000',1,62.89,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10493','LAMAI',4,'1997-04-02 00:00:00.000','1997-04-30 00:00:00.000','1997-04-10 00:00:00.000',3,10.64,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10494','COMMI',4,'1997-04-02 00:00:00.000','1997-04-30 00:00:00.000','1997-04-09 00:00:00.000',2,65.99,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); +INSERT INTO Orders Values ('10495','LAUGB',3,'1997-04-03 00:00:00.000','1997-05-01 00:00:00.000','1997-04-11 00:00:00.000',3,4.65,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'); +INSERT INTO Orders Values ('10496','TRADH',7,'1997-04-04 00:00:00.000','1997-05-02 00:00:00.000','1997-04-07 00:00:00.000',2,46.77,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); +INSERT INTO Orders Values ('10497','LEHMS',7,'1997-04-04 00:00:00.000','1997-05-02 00:00:00.000','1997-04-07 00:00:00.000',1,36.21,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10498','HILAA',8,'1997-04-07 00:00:00.000','1997-05-05 00:00:00.000','1997-04-11 00:00:00.000',2,29.75,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10499','LILAS',4,'1997-04-08 00:00:00.000','1997-05-06 00:00:00.000','1997-04-16 00:00:00.000',2,102.02,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10500','LAMAI',6,'1997-04-09 00:00:00.000','1997-05-07 00:00:00.000','1997-04-17 00:00:00.000',1,42.68,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10501','BLAUS',9,'1997-04-09 00:00:00.000','1997-05-07 00:00:00.000','1997-04-16 00:00:00.000',3,8.85,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('10502','PERIC',2,'1997-04-10 00:00:00.000','1997-05-08 00:00:00.000','1997-04-29 00:00:00.000',1,69.32,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10503','HUNGO',6,'1997-04-11 00:00:00.000','1997-05-09 00:00:00.000','1997-04-16 00:00:00.000',2,16.74,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10504','WHITC',4,'1997-04-11 00:00:00.000','1997-05-09 00:00:00.000','1997-04-18 00:00:00.000',3,59.13,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10505','MEREP',3,'1997-04-14 00:00:00.000','1997-05-12 00:00:00.000','1997-04-21 00:00:00.000',3,7.13,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10506','KOENE',9,'1997-04-15 00:00:00.000','1997-05-13 00:00:00.000','1997-05-02 00:00:00.000',2,21.19,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10507','ANTON',7,'1997-04-15 00:00:00.000','1997-05-13 00:00:00.000','1997-04-22 00:00:00.000',1,47.45,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10508','OTTIK',1,'1997-04-16 00:00:00.000','1997-05-14 00:00:00.000','1997-05-13 00:00:00.000',2,4.99,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10509','BLAUS',4,'1997-04-17 00:00:00.000','1997-05-15 00:00:00.000','1997-04-29 00:00:00.000',1,0.15,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('10510','SAVEA',6,'1997-04-18 00:00:00.000','1997-05-16 00:00:00.000','1997-04-28 00:00:00.000',3,367.63,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10511','BONAP',4,'1997-04-18 00:00:00.000','1997-05-16 00:00:00.000','1997-04-21 00:00:00.000',3,350.64,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10512','FAMIA',7,'1997-04-21 00:00:00.000','1997-05-19 00:00:00.000','1997-04-24 00:00:00.000',2,3.53,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10513','WANDK',7,'1997-04-22 00:00:00.000','1997-06-03 00:00:00.000','1997-04-28 00:00:00.000',1,105.65,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10514','ERNSH',3,'1997-04-22 00:00:00.000','1997-05-20 00:00:00.000','1997-05-16 00:00:00.000',2,789.95,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10515','QUICK',2,'1997-04-23 00:00:00.000','1997-05-07 00:00:00.000','1997-05-23 00:00:00.000',1,204.47,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10516','HUNGO',2,'1997-04-24 00:00:00.000','1997-05-22 00:00:00.000','1997-05-01 00:00:00.000',3,62.78,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10517','NORTS',3,'1997-04-24 00:00:00.000','1997-05-22 00:00:00.000','1997-04-29 00:00:00.000',3,32.07,'North/South','South House 300 Queensbridge','London',NULL,'SW7 1RZ','UK'); +INSERT INTO Orders Values ('10518','TORTU',4,'1997-04-25 00:00:00.000','1997-05-09 00:00:00.000','1997-05-05 00:00:00.000',2,218.15,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10519','CHOPS',6,'1997-04-28 00:00:00.000','1997-05-26 00:00:00.000','1997-05-01 00:00:00.000',3,91.76,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('10520','SANTG',7,'1997-04-29 00:00:00.000','1997-05-27 00:00:00.000','1997-05-01 00:00:00.000',1,13.37,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); +INSERT INTO Orders Values ('10521','CACTU',8,'1997-04-29 00:00:00.000','1997-05-27 00:00:00.000','1997-05-02 00:00:00.000',2,17.22,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10522','LEHMS',4,'1997-04-30 00:00:00.000','1997-05-28 00:00:00.000','1997-05-06 00:00:00.000',1,45.33,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10523','SEVES',7,'1997-05-01 00:00:00.000','1997-05-29 00:00:00.000','1997-05-30 00:00:00.000',2,77.63,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10524','BERGS',1,'1997-05-01 00:00:00.000','1997-05-29 00:00:00.000','1997-05-07 00:00:00.000',2,244.79,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10525','BONAP',1,'1997-05-02 00:00:00.000','1997-05-30 00:00:00.000','1997-05-23 00:00:00.000',2,11.06,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10526','WARTH',4,'1997-05-05 00:00:00.000','1997-06-02 00:00:00.000','1997-05-15 00:00:00.000',2,58.59,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10527','QUICK',7,'1997-05-05 00:00:00.000','1997-06-02 00:00:00.000','1997-05-07 00:00:00.000',1,41.9,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10528','GREAL',6,'1997-05-06 00:00:00.000','1997-05-20 00:00:00.000','1997-05-09 00:00:00.000',2,3.35,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10529','MAISD',5,'1997-05-07 00:00:00.000','1997-06-04 00:00:00.000','1997-05-09 00:00:00.000',2,66.69,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('10530','PICCO',3,'1997-05-08 00:00:00.000','1997-06-05 00:00:00.000','1997-05-12 00:00:00.000',2,339.22,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10531','OCEAN',7,'1997-05-08 00:00:00.000','1997-06-05 00:00:00.000','1997-05-19 00:00:00.000',1,8.12,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10532','EASTC',7,'1997-05-09 00:00:00.000','1997-06-06 00:00:00.000','1997-05-12 00:00:00.000',3,74.46,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('10533','FOLKO',8,'1997-05-12 00:00:00.000','1997-06-09 00:00:00.000','1997-05-22 00:00:00.000',1,188.04,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10534','LEHMS',8,'1997-05-12 00:00:00.000','1997-06-09 00:00:00.000','1997-05-14 00:00:00.000',2,27.94,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10535','ANTON',4,'1997-05-13 00:00:00.000','1997-06-10 00:00:00.000','1997-05-21 00:00:00.000',1,15.64,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10536','LEHMS',3,'1997-05-14 00:00:00.000','1997-06-11 00:00:00.000','1997-06-06 00:00:00.000',2,58.88,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10537','RICSU',1,'1997-05-14 00:00:00.000','1997-05-28 00:00:00.000','1997-05-19 00:00:00.000',1,78.85,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10538','BSBEV',9,'1997-05-15 00:00:00.000','1997-06-12 00:00:00.000','1997-05-16 00:00:00.000',3,4.87,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10539','BSBEV',6,'1997-05-16 00:00:00.000','1997-06-13 00:00:00.000','1997-05-23 00:00:00.000',3,12.36,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10540','QUICK',3,'1997-05-19 00:00:00.000','1997-06-16 00:00:00.000','1997-06-13 00:00:00.000',3,1007.64,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10541','HANAR',2,'1997-05-19 00:00:00.000','1997-06-16 00:00:00.000','1997-05-29 00:00:00.000',1,68.65,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10542','KOENE',1,'1997-05-20 00:00:00.000','1997-06-17 00:00:00.000','1997-05-26 00:00:00.000',3,10.95,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10543','LILAS',8,'1997-05-21 00:00:00.000','1997-06-18 00:00:00.000','1997-05-23 00:00:00.000',2,48.17,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10544','LONEP',4,'1997-05-21 00:00:00.000','1997-06-18 00:00:00.000','1997-05-30 00:00:00.000',1,24.91,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10545','LAZYK',8,'1997-05-22 00:00:00.000','1997-06-19 00:00:00.000','1997-06-26 00:00:00.000',2,11.92,'Lazy K Kountry Store','12 Orchestra Terrace','Walla Walla','WA','99362','USA'); +INSERT INTO Orders Values ('10546','VICTE',1,'1997-05-23 00:00:00.000','1997-06-20 00:00:00.000','1997-05-27 00:00:00.000',3,194.72,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10547','SEVES',3,'1997-05-23 00:00:00.000','1997-06-20 00:00:00.000','1997-06-02 00:00:00.000',2,178.43,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10548','TOMSP',3,'1997-05-26 00:00:00.000','1997-06-23 00:00:00.000','1997-06-02 00:00:00.000',2,1.43,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); +INSERT INTO Orders Values ('10549','QUICK',5,'1997-05-27 00:00:00.000','1997-06-10 00:00:00.000','1997-05-30 00:00:00.000',1,171.24,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10550','GODOS',7,'1997-05-28 00:00:00.000','1997-06-25 00:00:00.000','1997-06-06 00:00:00.000',3,4.32,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10551','FURIB',4,'1997-05-28 00:00:00.000','1997-07-09 00:00:00.000','1997-06-06 00:00:00.000',3,72.95,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10552','HILAA',2,'1997-05-29 00:00:00.000','1997-06-26 00:00:00.000','1997-06-05 00:00:00.000',1,83.22,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10553','WARTH',2,'1997-05-30 00:00:00.000','1997-06-27 00:00:00.000','1997-06-03 00:00:00.000',2,149.49,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10554','OTTIK',4,'1997-05-30 00:00:00.000','1997-06-27 00:00:00.000','1997-06-05 00:00:00.000',3,120.97,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10555','SAVEA',6,'1997-06-02 00:00:00.000','1997-06-30 00:00:00.000','1997-06-04 00:00:00.000',3,252.49,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10556','SIMOB',2,'1997-06-03 00:00:00.000','1997-07-15 00:00:00.000','1997-06-13 00:00:00.000',1,9.8,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('10557','LEHMS',9,'1997-06-03 00:00:00.000','1997-06-17 00:00:00.000','1997-06-06 00:00:00.000',2,96.72,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10558','AROUT',1,'1997-06-04 00:00:00.000','1997-07-02 00:00:00.000','1997-06-10 00:00:00.000',2,72.97,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10559','BLONP',6,'1997-06-05 00:00:00.000','1997-07-03 00:00:00.000','1997-06-13 00:00:00.000',1,8.05,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10560','FRANK',8,'1997-06-06 00:00:00.000','1997-07-04 00:00:00.000','1997-06-09 00:00:00.000',1,36.65,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10561','FOLKO',2,'1997-06-06 00:00:00.000','1997-07-04 00:00:00.000','1997-06-09 00:00:00.000',2,242.21,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10562','REGGC',1,'1997-06-09 00:00:00.000','1997-07-07 00:00:00.000','1997-06-12 00:00:00.000',1,22.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10563','RICAR',2,'1997-06-10 00:00:00.000','1997-07-22 00:00:00.000','1997-06-24 00:00:00.000',2,60.43,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10564','RATTC',4,'1997-06-10 00:00:00.000','1997-07-08 00:00:00.000','1997-06-16 00:00:00.000',3,13.75,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10565','MEREP',8,'1997-06-11 00:00:00.000','1997-07-09 00:00:00.000','1997-06-18 00:00:00.000',2,7.15,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10566','BLONP',9,'1997-06-12 00:00:00.000','1997-07-10 00:00:00.000','1997-06-18 00:00:00.000',1,88.4,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10567','HUNGO',1,'1997-06-12 00:00:00.000','1997-07-10 00:00:00.000','1997-06-17 00:00:00.000',1,33.97,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10568','GALED',3,'1997-06-13 00:00:00.000','1997-07-11 00:00:00.000','1997-07-09 00:00:00.000',3,6.54,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); +INSERT INTO Orders Values ('10569','RATTC',5,'1997-06-16 00:00:00.000','1997-07-14 00:00:00.000','1997-07-11 00:00:00.000',1,58.98,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10570','MEREP',3,'1997-06-17 00:00:00.000','1997-07-15 00:00:00.000','1997-06-19 00:00:00.000',3,188.99,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10571','ERNSH',8,'1997-06-17 00:00:00.000','1997-07-29 00:00:00.000','1997-07-04 00:00:00.000',3,26.06,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10572','BERGS',3,'1997-06-18 00:00:00.000','1997-07-16 00:00:00.000','1997-06-25 00:00:00.000',2,116.43,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10573','ANTON',7,'1997-06-19 00:00:00.000','1997-07-17 00:00:00.000','1997-06-20 00:00:00.000',3,84.84,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10574','TRAIH',4,'1997-06-19 00:00:00.000','1997-07-17 00:00:00.000','1997-06-30 00:00:00.000',2,37.6,'Trail-s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'); +INSERT INTO Orders Values ('10575','MORGK',5,'1997-06-20 00:00:00.000','1997-07-04 00:00:00.000','1997-06-30 00:00:00.000',1,127.34,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); +INSERT INTO Orders Values ('10576','TORTU',3,'1997-06-23 00:00:00.000','1997-07-07 00:00:00.000','1997-06-30 00:00:00.000',3,18.56,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10577','TRAIH',9,'1997-06-23 00:00:00.000','1997-08-04 00:00:00.000','1997-06-30 00:00:00.000',2,25.41,'Trail-s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'); +INSERT INTO Orders Values ('10578','BSBEV',4,'1997-06-24 00:00:00.000','1997-07-22 00:00:00.000','1997-07-25 00:00:00.000',3,29.6,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10579','LETSS',1,'1997-06-25 00:00:00.000','1997-07-23 00:00:00.000','1997-07-04 00:00:00.000',2,13.73,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); +INSERT INTO Orders Values ('10580','OTTIK',4,'1997-06-26 00:00:00.000','1997-07-24 00:00:00.000','1997-07-01 00:00:00.000',3,75.89,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10581','FAMIA',3,'1997-06-26 00:00:00.000','1997-07-24 00:00:00.000','1997-07-02 00:00:00.000',1,3.01,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10582','BLAUS',3,'1997-06-27 00:00:00.000','1997-07-25 00:00:00.000','1997-07-14 00:00:00.000',2,27.71,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('10583','WARTH',2,'1997-06-30 00:00:00.000','1997-07-28 00:00:00.000','1997-07-04 00:00:00.000',2,7.28,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10584','BLONP',4,'1997-06-30 00:00:00.000','1997-07-28 00:00:00.000','1997-07-04 00:00:00.000',1,59.14,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10585','WELLI',7,'1997-07-01 00:00:00.000','1997-07-29 00:00:00.000','1997-07-10 00:00:00.000',1,13.41,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10586','REGGC',9,'1997-07-02 00:00:00.000','1997-07-30 00:00:00.000','1997-07-09 00:00:00.000',1,0.48,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10587','QUEDE',1,'1997-07-02 00:00:00.000','1997-07-30 00:00:00.000','1997-07-09 00:00:00.000',1,62.52,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10588','QUICK',2,'1997-07-03 00:00:00.000','1997-07-31 00:00:00.000','1997-07-10 00:00:00.000',3,194.67,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10589','GREAL',8,'1997-07-04 00:00:00.000','1997-08-01 00:00:00.000','1997-07-14 00:00:00.000',2,4.42,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10590','MEREP',4,'1997-07-07 00:00:00.000','1997-08-04 00:00:00.000','1997-07-14 00:00:00.000',3,44.77,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10591','VAFFE',1,'1997-07-07 00:00:00.000','1997-07-21 00:00:00.000','1997-07-16 00:00:00.000',1,55.92,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10592','LEHMS',3,'1997-07-08 00:00:00.000','1997-08-05 00:00:00.000','1997-07-16 00:00:00.000',1,32.1,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10593','LEHMS',7,'1997-07-09 00:00:00.000','1997-08-06 00:00:00.000','1997-08-13 00:00:00.000',2,174.2,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10594','OLDWO',3,'1997-07-09 00:00:00.000','1997-08-06 00:00:00.000','1997-07-16 00:00:00.000',2,5.24,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10595','ERNSH',2,'1997-07-10 00:00:00.000','1997-08-07 00:00:00.000','1997-07-14 00:00:00.000',1,96.78,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10596','WHITC',8,'1997-07-11 00:00:00.000','1997-08-08 00:00:00.000','1997-08-12 00:00:00.000',1,16.34,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10597','PICCO',7,'1997-07-11 00:00:00.000','1997-08-08 00:00:00.000','1997-07-18 00:00:00.000',3,35.12,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10598','RATTC',1,'1997-07-14 00:00:00.000','1997-08-11 00:00:00.000','1997-07-18 00:00:00.000',3,44.42,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10599','BSBEV',6,'1997-07-15 00:00:00.000','1997-08-26 00:00:00.000','1997-07-21 00:00:00.000',3,29.98,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10600','HUNGC',4,'1997-07-16 00:00:00.000','1997-08-13 00:00:00.000','1997-07-21 00:00:00.000',1,45.13,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); +INSERT INTO Orders Values ('10601','HILAA',7,'1997-07-16 00:00:00.000','1997-08-27 00:00:00.000','1997-07-22 00:00:00.000',1,58.3,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10602','VAFFE',8,'1997-07-17 00:00:00.000','1997-08-14 00:00:00.000','1997-07-22 00:00:00.000',2,2.92,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10603','SAVEA',8,'1997-07-18 00:00:00.000','1997-08-15 00:00:00.000','1997-08-08 00:00:00.000',2,48.77,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10604','FURIB',1,'1997-07-18 00:00:00.000','1997-08-15 00:00:00.000','1997-07-29 00:00:00.000',1,7.46,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10605','MEREP',1,'1997-07-21 00:00:00.000','1997-08-18 00:00:00.000','1997-07-29 00:00:00.000',2,379.13,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10606','TRADH',4,'1997-07-22 00:00:00.000','1997-08-19 00:00:00.000','1997-07-31 00:00:00.000',3,79.4,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); +INSERT INTO Orders Values ('10607','SAVEA',5,'1997-07-22 00:00:00.000','1997-08-19 00:00:00.000','1997-07-25 00:00:00.000',1,200.24,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10608','TOMSP',4,'1997-07-23 00:00:00.000','1997-08-20 00:00:00.000','1997-08-01 00:00:00.000',2,27.79,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); +INSERT INTO Orders Values ('10609','DUMON',7,'1997-07-24 00:00:00.000','1997-08-21 00:00:00.000','1997-07-30 00:00:00.000',2,1.85,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10610','LAMAI',8,'1997-07-25 00:00:00.000','1997-08-22 00:00:00.000','1997-08-06 00:00:00.000',1,26.78,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10611','WOLZA',6,'1997-07-25 00:00:00.000','1997-08-22 00:00:00.000','1997-08-01 00:00:00.000',2,80.65,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('10612','SAVEA',1,'1997-07-28 00:00:00.000','1997-08-25 00:00:00.000','1997-08-01 00:00:00.000',2,544.08,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10613','HILAA',4,'1997-07-29 00:00:00.000','1997-08-26 00:00:00.000','1997-08-01 00:00:00.000',2,8.11,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10614','BLAUS',8,'1997-07-29 00:00:00.000','1997-08-26 00:00:00.000','1997-08-01 00:00:00.000',3,1.93,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('10615','WILMK',2,'1997-07-30 00:00:00.000','1997-08-27 00:00:00.000','1997-08-06 00:00:00.000',3,0.75,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('10616','GREAL',1,'1997-07-31 00:00:00.000','1997-08-28 00:00:00.000','1997-08-05 00:00:00.000',2,116.53,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10617','GREAL',4,'1997-07-31 00:00:00.000','1997-08-28 00:00:00.000','1997-08-04 00:00:00.000',2,18.53,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10618','MEREP',1,'1997-08-01 00:00:00.000','1997-09-12 00:00:00.000','1997-08-08 00:00:00.000',1,154.68,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10619','MEREP',3,'1997-08-04 00:00:00.000','1997-09-01 00:00:00.000','1997-08-07 00:00:00.000',3,91.05,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10620','LAUGB',2,'1997-08-05 00:00:00.000','1997-09-02 00:00:00.000','1997-08-14 00:00:00.000',3,0.94,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'); +INSERT INTO Orders Values ('10621','ISLAT',4,'1997-08-05 00:00:00.000','1997-09-02 00:00:00.000','1997-08-11 00:00:00.000',2,23.73,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10622','RICAR',4,'1997-08-06 00:00:00.000','1997-09-03 00:00:00.000','1997-08-11 00:00:00.000',3,50.97,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10623','FRANK',8,'1997-08-07 00:00:00.000','1997-09-04 00:00:00.000','1997-08-12 00:00:00.000',2,97.18,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10624','THECR',4,'1997-08-07 00:00:00.000','1997-09-04 00:00:00.000','1997-08-19 00:00:00.000',2,94.8,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'); +INSERT INTO Orders Values ('10625','ANATR',3,'1997-08-08 00:00:00.000','1997-09-05 00:00:00.000','1997-08-14 00:00:00.000',1,43.9,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); +INSERT INTO Orders Values ('10626','BERGS',1,'1997-08-11 00:00:00.000','1997-09-08 00:00:00.000','1997-08-20 00:00:00.000',2,138.69,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10627','SAVEA',8,'1997-08-11 00:00:00.000','1997-09-22 00:00:00.000','1997-08-21 00:00:00.000',3,107.46,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10628','BLONP',4,'1997-08-12 00:00:00.000','1997-09-09 00:00:00.000','1997-08-20 00:00:00.000',3,30.36,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10629','GODOS',4,'1997-08-12 00:00:00.000','1997-09-09 00:00:00.000','1997-08-20 00:00:00.000',3,85.46,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10630','KOENE',1,'1997-08-13 00:00:00.000','1997-09-10 00:00:00.000','1997-08-19 00:00:00.000',2,32.35,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10631','LAMAI',8,'1997-08-14 00:00:00.000','1997-09-11 00:00:00.000','1997-08-15 00:00:00.000',1,0.87,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10632','WANDK',8,'1997-08-14 00:00:00.000','1997-09-11 00:00:00.000','1997-08-19 00:00:00.000',1,41.38,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10633','ERNSH',7,'1997-08-15 00:00:00.000','1997-09-12 00:00:00.000','1997-08-18 00:00:00.000',3,477.9,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10634','FOLIG',4,'1997-08-15 00:00:00.000','1997-09-12 00:00:00.000','1997-08-21 00:00:00.000',3,487.38,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); +INSERT INTO Orders Values ('10635','MAGAA',8,'1997-08-18 00:00:00.000','1997-09-15 00:00:00.000','1997-08-21 00:00:00.000',3,47.46,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10636','WARTH',4,'1997-08-19 00:00:00.000','1997-09-16 00:00:00.000','1997-08-26 00:00:00.000',1,1.15,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10637','QUEEN',6,'1997-08-19 00:00:00.000','1997-09-16 00:00:00.000','1997-08-26 00:00:00.000',1,201.29,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10638','LINOD',3,'1997-08-20 00:00:00.000','1997-09-17 00:00:00.000','1997-09-01 00:00:00.000',1,158.44,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10639','SANTG',7,'1997-08-20 00:00:00.000','1997-09-17 00:00:00.000','1997-08-27 00:00:00.000',3,38.64,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); +INSERT INTO Orders Values ('10640','WANDK',4,'1997-08-21 00:00:00.000','1997-09-18 00:00:00.000','1997-08-28 00:00:00.000',1,23.55,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10641','HILAA',4,'1997-08-22 00:00:00.000','1997-09-19 00:00:00.000','1997-08-26 00:00:00.000',2,179.61,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10642','SIMOB',7,'1997-08-22 00:00:00.000','1997-09-19 00:00:00.000','1997-09-05 00:00:00.000',3,41.89,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('10643','ALFKI',6,'1997-08-25 00:00:00.000','1997-09-22 00:00:00.000','1997-09-02 00:00:00.000',1,29.46,'Alfreds Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); +INSERT INTO Orders Values ('10644','WELLI',3,'1997-08-25 00:00:00.000','1997-09-22 00:00:00.000','1997-09-01 00:00:00.000',2,0.14,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10645','HANAR',4,'1997-08-26 00:00:00.000','1997-09-23 00:00:00.000','1997-09-02 00:00:00.000',1,12.41,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10646','HUNGO',9,'1997-08-27 00:00:00.000','1997-10-08 00:00:00.000','1997-09-03 00:00:00.000',3,142.33,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10647','QUEDE',4,'1997-08-27 00:00:00.000','1997-09-10 00:00:00.000','1997-09-03 00:00:00.000',2,45.54,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10648','RICAR',5,'1997-08-28 00:00:00.000','1997-10-09 00:00:00.000','1997-09-09 00:00:00.000',2,14.25,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10649','MAISD',5,'1997-08-28 00:00:00.000','1997-09-25 00:00:00.000','1997-08-29 00:00:00.000',3,6.2,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('10650','FAMIA',5,'1997-08-29 00:00:00.000','1997-09-26 00:00:00.000','1997-09-03 00:00:00.000',3,176.81,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10651','WANDK',8,'1997-09-01 00:00:00.000','1997-09-29 00:00:00.000','1997-09-11 00:00:00.000',2,20.6,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10652','GOURL',4,'1997-09-01 00:00:00.000','1997-09-29 00:00:00.000','1997-09-08 00:00:00.000',2,7.14,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10653','FRANK',1,'1997-09-02 00:00:00.000','1997-09-30 00:00:00.000','1997-09-19 00:00:00.000',1,93.25,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10654','BERGS',5,'1997-09-02 00:00:00.000','1997-09-30 00:00:00.000','1997-09-11 00:00:00.000',1,55.26,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10655','REGGC',1,'1997-09-03 00:00:00.000','1997-10-01 00:00:00.000','1997-09-11 00:00:00.000',2,4.41,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10656','GREAL',6,'1997-09-04 00:00:00.000','1997-10-02 00:00:00.000','1997-09-10 00:00:00.000',1,57.15,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10657','SAVEA',2,'1997-09-04 00:00:00.000','1997-10-02 00:00:00.000','1997-09-15 00:00:00.000',2,352.69,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10658','QUICK',4,'1997-09-05 00:00:00.000','1997-10-03 00:00:00.000','1997-09-08 00:00:00.000',1,364.15,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10659','QUEEN',7,'1997-09-05 00:00:00.000','1997-10-03 00:00:00.000','1997-09-10 00:00:00.000',2,105.81,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10660','HUNGC',8,'1997-09-08 00:00:00.000','1997-10-06 00:00:00.000','1997-10-15 00:00:00.000',1,111.29,'Hungry Coyote Import Store','City Center Plaza 516 Main St.','Elgin','OR','97827','USA'); +INSERT INTO Orders Values ('10661','HUNGO',7,'1997-09-09 00:00:00.000','1997-10-07 00:00:00.000','1997-09-15 00:00:00.000',3,17.55,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10662','LONEP',3,'1997-09-09 00:00:00.000','1997-10-07 00:00:00.000','1997-09-18 00:00:00.000',2,1.28,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10663','BONAP',2,'1997-09-10 00:00:00.000','1997-09-24 00:00:00.000','1997-10-03 00:00:00.000',2,113.15,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10664','FURIB',1,'1997-09-10 00:00:00.000','1997-10-08 00:00:00.000','1997-09-19 00:00:00.000',3,1.27,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10665','LONEP',1,'1997-09-11 00:00:00.000','1997-10-09 00:00:00.000','1997-09-17 00:00:00.000',2,26.31,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10666','RICSU',7,'1997-09-12 00:00:00.000','1997-10-10 00:00:00.000','1997-09-22 00:00:00.000',2,232.42,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10667','ERNSH',7,'1997-09-12 00:00:00.000','1997-10-10 00:00:00.000','1997-09-19 00:00:00.000',1,78.09,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10668','WANDK',1,'1997-09-15 00:00:00.000','1997-10-13 00:00:00.000','1997-09-23 00:00:00.000',2,47.22,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('10669','SIMOB',2,'1997-09-15 00:00:00.000','1997-10-13 00:00:00.000','1997-09-22 00:00:00.000',1,24.39,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('10670','FRANK',4,'1997-09-16 00:00:00.000','1997-10-14 00:00:00.000','1997-09-18 00:00:00.000',1,203.48,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10671','FRANR',1,'1997-09-17 00:00:00.000','1997-10-15 00:00:00.000','1997-09-24 00:00:00.000',1,30.34,'France restauration','54, rue Royale','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10672','BERGS',9,'1997-09-17 00:00:00.000','1997-10-01 00:00:00.000','1997-09-26 00:00:00.000',2,95.75,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10673','WILMK',2,'1997-09-18 00:00:00.000','1997-10-16 00:00:00.000','1997-09-19 00:00:00.000',1,22.76,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('10674','ISLAT',4,'1997-09-18 00:00:00.000','1997-10-16 00:00:00.000','1997-09-30 00:00:00.000',2,0.9,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10675','FRANK',5,'1997-09-19 00:00:00.000','1997-10-17 00:00:00.000','1997-09-23 00:00:00.000',2,31.85,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10676','TORTU',2,'1997-09-22 00:00:00.000','1997-10-20 00:00:00.000','1997-09-29 00:00:00.000',2,2.01,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10677','ANTON',1,'1997-09-22 00:00:00.000','1997-10-20 00:00:00.000','1997-09-26 00:00:00.000',3,4.03,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10678','SAVEA',7,'1997-09-23 00:00:00.000','1997-10-21 00:00:00.000','1997-10-16 00:00:00.000',3,388.98,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10679','BLONP',8,'1997-09-23 00:00:00.000','1997-10-21 00:00:00.000','1997-09-30 00:00:00.000',3,27.94,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10680','OLDWO',1,'1997-09-24 00:00:00.000','1997-10-22 00:00:00.000','1997-09-26 00:00:00.000',1,26.61,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10681','GREAL',3,'1997-09-25 00:00:00.000','1997-10-23 00:00:00.000','1997-09-30 00:00:00.000',3,76.13,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10682','ANTON',3,'1997-09-25 00:00:00.000','1997-10-23 00:00:00.000','1997-10-01 00:00:00.000',2,36.13,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10683','DUMON',2,'1997-09-26 00:00:00.000','1997-10-24 00:00:00.000','1997-10-01 00:00:00.000',1,4.4,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10684','OTTIK',3,'1997-09-26 00:00:00.000','1997-10-24 00:00:00.000','1997-09-30 00:00:00.000',1,145.63,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10685','GOURL',4,'1997-09-29 00:00:00.000','1997-10-13 00:00:00.000','1997-10-03 00:00:00.000',2,33.75,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10686','PICCO',2,'1997-09-30 00:00:00.000','1997-10-28 00:00:00.000','1997-10-08 00:00:00.000',1,96.5,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10687','HUNGO',9,'1997-09-30 00:00:00.000','1997-10-28 00:00:00.000','1997-10-30 00:00:00.000',2,296.43,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10688','VAFFE',4,'1997-10-01 00:00:00.000','1997-10-15 00:00:00.000','1997-10-07 00:00:00.000',2,299.09,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10689','BERGS',1,'1997-10-01 00:00:00.000','1997-10-29 00:00:00.000','1997-10-07 00:00:00.000',2,13.42,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10690','HANAR',1,'1997-10-02 00:00:00.000','1997-10-30 00:00:00.000','1997-10-03 00:00:00.000',1,15.8,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10691','QUICK',2,'1997-10-03 00:00:00.000','1997-11-14 00:00:00.000','1997-10-22 00:00:00.000',2,810.05,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10692','ALFKI',4,'1997-10-03 00:00:00.000','1997-10-31 00:00:00.000','1997-10-13 00:00:00.000',2,61.02,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); +INSERT INTO Orders Values ('10693','WHITC',3,'1997-10-06 00:00:00.000','1997-10-20 00:00:00.000','1997-10-10 00:00:00.000',3,139.34,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10694','QUICK',8,'1997-10-06 00:00:00.000','1997-11-03 00:00:00.000','1997-10-09 00:00:00.000',3,398.36,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10695','WILMK',7,'1997-10-07 00:00:00.000','1997-11-18 00:00:00.000','1997-10-14 00:00:00.000',1,16.72,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('10696','WHITC',8,'1997-10-08 00:00:00.000','1997-11-19 00:00:00.000','1997-10-14 00:00:00.000',3,102.55,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10697','LINOD',3,'1997-10-08 00:00:00.000','1997-11-05 00:00:00.000','1997-10-14 00:00:00.000',1,45.52,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10698','ERNSH',4,'1997-10-09 00:00:00.000','1997-11-06 00:00:00.000','1997-10-17 00:00:00.000',1,272.47,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10699','MORGK',3,'1997-10-09 00:00:00.000','1997-11-06 00:00:00.000','1997-10-13 00:00:00.000',3,0.58,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); +INSERT INTO Orders Values ('10700','SAVEA',3,'1997-10-10 00:00:00.000','1997-11-07 00:00:00.000','1997-10-16 00:00:00.000',1,65.1,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10701','HUNGO',6,'1997-10-13 00:00:00.000','1997-10-27 00:00:00.000','1997-10-15 00:00:00.000',3,220.31,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10702','ALFKI',4,'1997-10-13 00:00:00.000','1997-11-24 00:00:00.000','1997-10-21 00:00:00.000',1,23.94,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); +INSERT INTO Orders Values ('10703','FOLKO',6,'1997-10-14 00:00:00.000','1997-11-11 00:00:00.000','1997-10-20 00:00:00.000',2,152.3,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10704','QUEEN',6,'1997-10-14 00:00:00.000','1997-11-11 00:00:00.000','1997-11-07 00:00:00.000',1,4.78,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10705','HILAA',9,'1997-10-15 00:00:00.000','1997-11-12 00:00:00.000','1997-11-18 00:00:00.000',2,3.52,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10706','OLDWO',8,'1997-10-16 00:00:00.000','1997-11-13 00:00:00.000','1997-10-21 00:00:00.000',3,135.63,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10707','AROUT',4,'1997-10-16 00:00:00.000','1997-10-30 00:00:00.000','1997-10-23 00:00:00.000',3,21.74,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10708','THEBI',6,'1997-10-17 00:00:00.000','1997-11-28 00:00:00.000','1997-11-05 00:00:00.000',2,2.96,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); +INSERT INTO Orders Values ('10709','GOURL',1,'1997-10-17 00:00:00.000','1997-11-14 00:00:00.000','1997-11-20 00:00:00.000',3,210.8,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10710','FRANS',1,'1997-10-20 00:00:00.000','1997-11-17 00:00:00.000','1997-10-23 00:00:00.000',1,4.98,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); +INSERT INTO Orders Values ('10711','SAVEA',5,'1997-10-21 00:00:00.000','1997-12-02 00:00:00.000','1997-10-29 00:00:00.000',2,52.41,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10712','HUNGO',3,'1997-10-21 00:00:00.000','1997-11-18 00:00:00.000','1997-10-31 00:00:00.000',1,89.93,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10713','SAVEA',1,'1997-10-22 00:00:00.000','1997-11-19 00:00:00.000','1997-10-24 00:00:00.000',1,167.05,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10714','SAVEA',5,'1997-10-22 00:00:00.000','1997-11-19 00:00:00.000','1997-10-27 00:00:00.000',3,24.49,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10715','BONAP',3,'1997-10-23 00:00:00.000','1997-11-06 00:00:00.000','1997-10-29 00:00:00.000',1,63.2,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10716','RANCH',4,'1997-10-24 00:00:00.000','1997-11-21 00:00:00.000','1997-10-27 00:00:00.000',2,22.57,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10717','FRANK',1,'1997-10-24 00:00:00.000','1997-11-21 00:00:00.000','1997-10-29 00:00:00.000',2,59.25,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10718','KOENE',1,'1997-10-27 00:00:00.000','1997-11-24 00:00:00.000','1997-10-29 00:00:00.000',3,170.88,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10719','LETSS',8,'1997-10-27 00:00:00.000','1997-11-24 00:00:00.000','1997-11-05 00:00:00.000',2,51.44,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); +INSERT INTO Orders Values ('10720','QUEDE',8,'1997-10-28 00:00:00.000','1997-11-11 00:00:00.000','1997-11-05 00:00:00.000',2,9.53,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10721','QUICK',5,'1997-10-29 00:00:00.000','1997-11-26 00:00:00.000','1997-10-31 00:00:00.000',3,48.92,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10722','SAVEA',8,'1997-10-29 00:00:00.000','1997-12-10 00:00:00.000','1997-11-04 00:00:00.000',1,74.58,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10723','WHITC',3,'1997-10-30 00:00:00.000','1997-11-27 00:00:00.000','1997-11-25 00:00:00.000',1,21.72,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10724','MEREP',8,'1997-10-30 00:00:00.000','1997-12-11 00:00:00.000','1997-11-05 00:00:00.000',2,57.75,'M�re Paillarde','43 rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada'); +INSERT INTO Orders Values ('10725','FAMIA',4,'1997-10-31 00:00:00.000','1997-11-28 00:00:00.000','1997-11-05 00:00:00.000',3,10.83,'Familia Arquibaldo','Rua Or�s, 92','Sao Paulo','SP','05442-030','Brazil'); +INSERT INTO Orders Values ('10726','EASTC',4,'1997-11-03 00:00:00.000','1997-11-17 00:00:00.000','1997-12-05 00:00:00.000',1,16.56,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('10727','REGGC',2,'1997-11-03 00:00:00.000','1997-12-01 00:00:00.000','1997-12-05 00:00:00.000',1,89.9,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10728','QUEEN',4,'1997-11-04 00:00:00.000','1997-12-02 00:00:00.000','1997-11-11 00:00:00.000',2,58.33,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10729','LINOD',8,'1997-11-04 00:00:00.000','1997-12-16 00:00:00.000','1997-11-14 00:00:00.000',3,141.06,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10730','BONAP',5,'1997-11-05 00:00:00.000','1997-12-03 00:00:00.000','1997-11-14 00:00:00.000',1,20.12,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10731','CHOPS',7,'1997-11-06 00:00:00.000','1997-12-04 00:00:00.000','1997-11-14 00:00:00.000',1,96.65,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('10732','BONAP',3,'1997-11-06 00:00:00.000','1997-12-04 00:00:00.000','1997-11-07 00:00:00.000',1,16.97,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10733','BERGS',1,'1997-11-07 00:00:00.000','1997-12-05 00:00:00.000','1997-11-10 00:00:00.000',3,110.11,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10734','GOURL',2,'1997-11-07 00:00:00.000','1997-12-05 00:00:00.000','1997-11-12 00:00:00.000',3,1.63,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10735','LETSS',6,'1997-11-10 00:00:00.000','1997-12-08 00:00:00.000','1997-11-21 00:00:00.000',2,45.97,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); +INSERT INTO Orders Values ('10736','HUNGO',9,'1997-11-11 00:00:00.000','1997-12-09 00:00:00.000','1997-11-21 00:00:00.000',2,44.1,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10737','VINET',2,'1997-11-11 00:00:00.000','1997-12-09 00:00:00.000','1997-11-18 00:00:00.000',2,7.79,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); +INSERT INTO Orders Values ('10738','SPECD',2,'1997-11-12 00:00:00.000','1997-12-10 00:00:00.000','1997-11-18 00:00:00.000',1,2.91,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); +INSERT INTO Orders Values ('10739','VINET',3,'1997-11-12 00:00:00.000','1997-12-10 00:00:00.000','1997-11-17 00:00:00.000',3,11.08,'Vins et alcools Chevalier','59 rue de l-Abbaye','Reims',NULL,'51100','France'); +INSERT INTO Orders Values ('10740','WHITC',4,'1997-11-13 00:00:00.000','1997-12-11 00:00:00.000','1997-11-25 00:00:00.000',2,81.88,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10741','AROUT',4,'1997-11-14 00:00:00.000','1997-11-28 00:00:00.000','1997-11-18 00:00:00.000',3,10.96,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10742','BOTTM',3,'1997-11-14 00:00:00.000','1997-12-12 00:00:00.000','1997-11-18 00:00:00.000',3,243.73,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10743','AROUT',1,'1997-11-17 00:00:00.000','1997-12-15 00:00:00.000','1997-11-21 00:00:00.000',2,23.72,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10744','VAFFE',6,'1997-11-17 00:00:00.000','1997-12-15 00:00:00.000','1997-11-24 00:00:00.000',1,69.19,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10745','QUICK',9,'1997-11-18 00:00:00.000','1997-12-16 00:00:00.000','1997-11-27 00:00:00.000',1,3.52,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10746','CHOPS',1,'1997-11-19 00:00:00.000','1997-12-17 00:00:00.000','1997-11-21 00:00:00.000',3,31.43,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('10747','PICCO',6,'1997-11-19 00:00:00.000','1997-12-17 00:00:00.000','1997-11-26 00:00:00.000',1,117.33,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10748','SAVEA',3,'1997-11-20 00:00:00.000','1997-12-18 00:00:00.000','1997-11-28 00:00:00.000',1,232.55,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10749','ISLAT',4,'1997-11-20 00:00:00.000','1997-12-18 00:00:00.000','1997-12-19 00:00:00.000',2,61.53,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10750','WARTH',9,'1997-11-21 00:00:00.000','1997-12-19 00:00:00.000','1997-11-24 00:00:00.000',1,79.3,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10751','RICSU',3,'1997-11-24 00:00:00.000','1997-12-22 00:00:00.000','1997-12-03 00:00:00.000',3,130.79,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10752','NORTS',2,'1997-11-24 00:00:00.000','1997-12-22 00:00:00.000','1997-11-28 00:00:00.000',3,1.39,'North/South','South House 300 Queensbridge','London',NULL,'SW7 1RZ','UK'); +INSERT INTO Orders Values ('10753','FRANS',3,'1997-11-25 00:00:00.000','1997-12-23 00:00:00.000','1997-11-27 00:00:00.000',1,7.7,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); +INSERT INTO Orders Values ('10754','MAGAA',6,'1997-11-25 00:00:00.000','1997-12-23 00:00:00.000','1997-11-27 00:00:00.000',3,2.38,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10755','BONAP',4,'1997-11-26 00:00:00.000','1997-12-24 00:00:00.000','1997-11-28 00:00:00.000',2,16.71,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10756','SPLIR',8,'1997-11-27 00:00:00.000','1997-12-25 00:00:00.000','1997-12-02 00:00:00.000',2,73.21,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10757','SAVEA',6,'1997-11-27 00:00:00.000','1997-12-25 00:00:00.000','1997-12-15 00:00:00.000',1,8.19,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10758','RICSU',3,'1997-11-28 00:00:00.000','1997-12-26 00:00:00.000','1997-12-04 00:00:00.000',3,138.17,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10759','ANATR',3,'1997-11-28 00:00:00.000','1997-12-26 00:00:00.000','1997-12-12 00:00:00.000',3,11.99,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); +INSERT INTO Orders Values ('10760','MAISD',4,'1997-12-01 00:00:00.000','1997-12-29 00:00:00.000','1997-12-10 00:00:00.000',1,155.64,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('10761','RATTC',5,'1997-12-02 00:00:00.000','1997-12-30 00:00:00.000','1997-12-08 00:00:00.000',2,18.66,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10762','FOLKO',3,'1997-12-02 00:00:00.000','1997-12-30 00:00:00.000','1997-12-09 00:00:00.000',1,328.74,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10763','FOLIG',3,'1997-12-03 00:00:00.000','1997-12-31 00:00:00.000','1997-12-08 00:00:00.000',3,37.35,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); +INSERT INTO Orders Values ('10764','ERNSH',6,'1997-12-03 00:00:00.000','1997-12-31 00:00:00.000','1997-12-08 00:00:00.000',3,145.45,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10765','QUICK',3,'1997-12-04 00:00:00.000','1998-01-01 00:00:00.000','1997-12-09 00:00:00.000',3,42.74,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10766','OTTIK',4,'1997-12-05 00:00:00.000','1998-01-02 00:00:00.000','1997-12-09 00:00:00.000',1,157.55,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10767','SUPRD',4,'1997-12-05 00:00:00.000','1998-01-02 00:00:00.000','1997-12-15 00:00:00.000',3,1.59,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10768','AROUT',3,'1997-12-08 00:00:00.000','1998-01-05 00:00:00.000','1997-12-15 00:00:00.000',2,146.32,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10769','VAFFE',3,'1997-12-08 00:00:00.000','1998-01-05 00:00:00.000','1997-12-12 00:00:00.000',1,65.06,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10770','HANAR',8,'1997-12-09 00:00:00.000','1998-01-06 00:00:00.000','1997-12-17 00:00:00.000',3,5.32,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10771','ERNSH',9,'1997-12-10 00:00:00.000','1998-01-07 00:00:00.000','1998-01-02 00:00:00.000',2,11.19,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10772','LEHMS',3,'1997-12-10 00:00:00.000','1998-01-07 00:00:00.000','1997-12-19 00:00:00.000',2,91.28,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10773','ERNSH',1,'1997-12-11 00:00:00.000','1998-01-08 00:00:00.000','1997-12-16 00:00:00.000',3,96.43,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10774','FOLKO',4,'1997-12-11 00:00:00.000','1997-12-25 00:00:00.000','1997-12-12 00:00:00.000',1,48.2,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10775','THECR',7,'1997-12-12 00:00:00.000','1998-01-09 00:00:00.000','1997-12-26 00:00:00.000',1,20.25,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'); +INSERT INTO Orders Values ('10776','ERNSH',1,'1997-12-15 00:00:00.000','1998-01-12 00:00:00.000','1997-12-18 00:00:00.000',3,351.53,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10777','GOURL',7,'1997-12-15 00:00:00.000','1997-12-29 00:00:00.000','1998-01-21 00:00:00.000',2,3.01,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10778','BERGS',3,'1997-12-16 00:00:00.000','1998-01-13 00:00:00.000','1997-12-24 00:00:00.000',1,6.79,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10779','MORGK',3,'1997-12-16 00:00:00.000','1998-01-13 00:00:00.000','1998-01-14 00:00:00.000',2,58.13,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); +INSERT INTO Orders Values ('10780','LILAS',2,'1997-12-16 00:00:00.000','1997-12-30 00:00:00.000','1997-12-25 00:00:00.000',1,42.13,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10781','WARTH',2,'1997-12-17 00:00:00.000','1998-01-14 00:00:00.000','1997-12-19 00:00:00.000',3,73.16,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('10782','CACTU',9,'1997-12-17 00:00:00.000','1998-01-14 00:00:00.000','1997-12-22 00:00:00.000',3,1.1,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10783','HANAR',4,'1997-12-18 00:00:00.000','1998-01-15 00:00:00.000','1997-12-19 00:00:00.000',2,124.98,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10784','MAGAA',4,'1997-12-18 00:00:00.000','1998-01-15 00:00:00.000','1997-12-22 00:00:00.000',3,70.09,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10785','GROSR',1,'1997-12-18 00:00:00.000','1998-01-15 00:00:00.000','1997-12-24 00:00:00.000',3,1.51,'GROSELLA-Restaurante','5� Ave. Los Palos Grandes','Caracas','DF','1081','Venezuela'); +INSERT INTO Orders Values ('10786','QUEEN',8,'1997-12-19 00:00:00.000','1998-01-16 00:00:00.000','1997-12-23 00:00:00.000',1,110.87,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10787','LAMAI',2,'1997-12-19 00:00:00.000','1998-01-02 00:00:00.000','1997-12-26 00:00:00.000',1,249.93,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10788','QUICK',1,'1997-12-22 00:00:00.000','1998-01-19 00:00:00.000','1998-01-19 00:00:00.000',2,42.7,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10789','FOLIG',1,'1997-12-22 00:00:00.000','1998-01-19 00:00:00.000','1997-12-31 00:00:00.000',2,100.6,'Folies gourmandes','184, chauss�e de Tournai','Lille',NULL,'59000','France'); +INSERT INTO Orders Values ('10790','GOURL',6,'1997-12-22 00:00:00.000','1998-01-19 00:00:00.000','1997-12-26 00:00:00.000',1,28.23,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10791','FRANK',6,'1997-12-23 00:00:00.000','1998-01-20 00:00:00.000','1998-01-01 00:00:00.000',2,16.85,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10792','WOLZA',1,'1997-12-23 00:00:00.000','1998-01-20 00:00:00.000','1997-12-31 00:00:00.000',3,23.79,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('10793','AROUT',3,'1997-12-24 00:00:00.000','1998-01-21 00:00:00.000','1998-01-08 00:00:00.000',3,4.52,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10794','QUEDE',6,'1997-12-24 00:00:00.000','1998-01-21 00:00:00.000','1998-01-02 00:00:00.000',1,21.49,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10795','ERNSH',8,'1997-12-24 00:00:00.000','1998-01-21 00:00:00.000','1998-01-20 00:00:00.000',2,126.66,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10796','HILAA',3,'1997-12-25 00:00:00.000','1998-01-22 00:00:00.000','1998-01-14 00:00:00.000',1,26.52,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10797','DRACD',7,'1997-12-25 00:00:00.000','1998-01-22 00:00:00.000','1998-01-05 00:00:00.000',2,33.35,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); +INSERT INTO Orders Values ('10798','ISLAT',2,'1997-12-26 00:00:00.000','1998-01-23 00:00:00.000','1998-01-05 00:00:00.000',1,2.33,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10799','KOENE',9,'1997-12-26 00:00:00.000','1998-02-06 00:00:00.000','1998-01-05 00:00:00.000',3,30.76,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10800','SEVES',1,'1997-12-26 00:00:00.000','1998-01-23 00:00:00.000','1998-01-05 00:00:00.000',3,137.44,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10801','BOLID',4,'1997-12-29 00:00:00.000','1998-01-26 00:00:00.000','1997-12-31 00:00:00.000',2,97.09,'B�lido Comidas preparadas','C/ Araquil, 67','Madrid',NULL,'28023','Spain'); +INSERT INTO Orders Values ('10802','SIMOB',4,'1997-12-29 00:00:00.000','1998-01-26 00:00:00.000','1998-01-02 00:00:00.000',2,257.26,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('10803','WELLI',4,'1997-12-30 00:00:00.000','1998-01-27 00:00:00.000','1998-01-06 00:00:00.000',1,55.23,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10804','SEVES',6,'1997-12-30 00:00:00.000','1998-01-27 00:00:00.000','1998-01-07 00:00:00.000',2,27.33,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10805','THEBI',2,'1997-12-30 00:00:00.000','1998-01-27 00:00:00.000','1998-01-09 00:00:00.000',3,237.34,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); +INSERT INTO Orders Values ('10806','VICTE',3,'1997-12-31 00:00:00.000','1998-01-28 00:00:00.000','1998-01-05 00:00:00.000',2,22.11,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10807','FRANS',4,'1997-12-31 00:00:00.000','1998-01-28 00:00:00.000','1998-01-30 00:00:00.000',1,1.36,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); +INSERT INTO Orders Values ('10808','OLDWO',2,'1998-01-01 00:00:00.000','1998-01-29 00:00:00.000','1998-01-09 00:00:00.000',3,45.53,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10809','WELLI',7,'1998-01-01 00:00:00.000','1998-01-29 00:00:00.000','1998-01-07 00:00:00.000',1,4.87,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10810','LAUGB',2,'1998-01-01 00:00:00.000','1998-01-29 00:00:00.000','1998-01-07 00:00:00.000',3,4.33,'Laughing Bacchus Wine Cellars','2319 Elm St.','Vancouver','BC','V3F 2K1','Canada'); +INSERT INTO Orders Values ('10811','LINOD',8,'1998-01-02 00:00:00.000','1998-01-30 00:00:00.000','1998-01-08 00:00:00.000',1,31.22,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10812','REGGC',5,'1998-01-02 00:00:00.000','1998-01-30 00:00:00.000','1998-01-12 00:00:00.000',1,59.78,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10813','RICAR',1,'1998-01-05 00:00:00.000','1998-02-02 00:00:00.000','1998-01-09 00:00:00.000',1,47.38,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10814','VICTE',3,'1998-01-05 00:00:00.000','1998-02-02 00:00:00.000','1998-01-14 00:00:00.000',3,130.94,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10815','SAVEA',2,'1998-01-05 00:00:00.000','1998-02-02 00:00:00.000','1998-01-14 00:00:00.000',3,14.62,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10816','GREAL',4,'1998-01-06 00:00:00.000','1998-02-03 00:00:00.000','1998-02-04 00:00:00.000',2,719.78,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10817','KOENE',3,'1998-01-06 00:00:00.000','1998-01-20 00:00:00.000','1998-01-13 00:00:00.000',2,306.07,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10818','MAGAA',7,'1998-01-07 00:00:00.000','1998-02-04 00:00:00.000','1998-01-12 00:00:00.000',3,65.48,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10819','CACTU',2,'1998-01-07 00:00:00.000','1998-02-04 00:00:00.000','1998-01-16 00:00:00.000',3,19.76,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10820','RATTC',3,'1998-01-07 00:00:00.000','1998-02-04 00:00:00.000','1998-01-13 00:00:00.000',2,37.52,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10821','SPLIR',1,'1998-01-08 00:00:00.000','1998-02-05 00:00:00.000','1998-01-15 00:00:00.000',1,36.68,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10822','TRAIH',6,'1998-01-08 00:00:00.000','1998-02-05 00:00:00.000','1998-01-16 00:00:00.000',3,7,'Trail-s Head Gourmet Provisioners','722 DaVinci Blvd.','Kirkland','WA','98034','USA'); +INSERT INTO Orders Values ('10823','LILAS',5,'1998-01-09 00:00:00.000','1998-02-06 00:00:00.000','1998-01-13 00:00:00.000',2,163.97,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10824','FOLKO',8,'1998-01-09 00:00:00.000','1998-02-06 00:00:00.000','1998-01-30 00:00:00.000',1,1.23,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10825','DRACD',1,'1998-01-09 00:00:00.000','1998-02-06 00:00:00.000','1998-01-14 00:00:00.000',1,79.25,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); +INSERT INTO Orders Values ('10826','BLONP',6,'1998-01-12 00:00:00.000','1998-02-09 00:00:00.000','1998-02-06 00:00:00.000',1,7.09,'Blondel p�re et fils','24, place Kl�ber','Strasbourg',NULL,'67000','France'); +INSERT INTO Orders Values ('10827','BONAP',1,'1998-01-12 00:00:00.000','1998-01-26 00:00:00.000','1998-02-06 00:00:00.000',2,63.54,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10828','RANCH',9,'1998-01-13 00:00:00.000','1998-01-27 00:00:00.000','1998-02-04 00:00:00.000',1,90.85,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10829','ISLAT',9,'1998-01-13 00:00:00.000','1998-02-10 00:00:00.000','1998-01-23 00:00:00.000',1,154.72,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10830','TRADH',4,'1998-01-13 00:00:00.000','1998-02-24 00:00:00.000','1998-01-21 00:00:00.000',2,81.83,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); +INSERT INTO Orders Values ('10831','SANTG',3,'1998-01-14 00:00:00.000','1998-02-11 00:00:00.000','1998-01-23 00:00:00.000',2,72.19,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); +INSERT INTO Orders Values ('10832','LAMAI',2,'1998-01-14 00:00:00.000','1998-02-11 00:00:00.000','1998-01-19 00:00:00.000',2,43.26,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10833','OTTIK',6,'1998-01-15 00:00:00.000','1998-02-12 00:00:00.000','1998-01-23 00:00:00.000',2,71.49,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('10834','TRADH',1,'1998-01-15 00:00:00.000','1998-02-12 00:00:00.000','1998-01-19 00:00:00.000',3,29.78,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); +INSERT INTO Orders Values ('10835','ALFKI',1,'1998-01-15 00:00:00.000','1998-02-12 00:00:00.000','1998-01-21 00:00:00.000',3,69.53,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); +INSERT INTO Orders Values ('10836','ERNSH',7,'1998-01-16 00:00:00.000','1998-02-13 00:00:00.000','1998-01-21 00:00:00.000',1,411.88,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10837','BERGS',9,'1998-01-16 00:00:00.000','1998-02-13 00:00:00.000','1998-01-23 00:00:00.000',3,13.32,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10838','LINOD',3,'1998-01-19 00:00:00.000','1998-02-16 00:00:00.000','1998-01-23 00:00:00.000',3,59.28,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10839','TRADH',3,'1998-01-19 00:00:00.000','1998-02-16 00:00:00.000','1998-01-22 00:00:00.000',3,35.43,'Tradi�ao Hipermercados','Av. In�s de Castro, 414','Sao Paulo','SP','05634-030','Brazil'); +INSERT INTO Orders Values ('10840','LINOD',4,'1998-01-19 00:00:00.000','1998-03-02 00:00:00.000','1998-02-16 00:00:00.000',2,2.71,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10841','SUPRD',5,'1998-01-20 00:00:00.000','1998-02-17 00:00:00.000','1998-01-29 00:00:00.000',2,424.3,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10842','TORTU',1,'1998-01-20 00:00:00.000','1998-02-17 00:00:00.000','1998-01-29 00:00:00.000',3,54.42,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10843','VICTE',4,'1998-01-21 00:00:00.000','1998-02-18 00:00:00.000','1998-01-26 00:00:00.000',2,9.26,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10844','PICCO',8,'1998-01-21 00:00:00.000','1998-02-18 00:00:00.000','1998-01-26 00:00:00.000',2,25.22,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('10845','QUICK',8,'1998-01-21 00:00:00.000','1998-02-04 00:00:00.000','1998-01-30 00:00:00.000',1,212.98,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10846','SUPRD',2,'1998-01-22 00:00:00.000','1998-03-05 00:00:00.000','1998-01-23 00:00:00.000',3,56.46,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10847','SAVEA',4,'1998-01-22 00:00:00.000','1998-02-05 00:00:00.000','1998-02-10 00:00:00.000',3,487.57,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10848','CONSH',7,'1998-01-23 00:00:00.000','1998-02-20 00:00:00.000','1998-01-29 00:00:00.000',2,38.24,'Consolidated Holdings','Berkeley Gardens 12 �Brewery','London',NULL,'WX1 6LT','UK'); +INSERT INTO Orders Values ('10849','KOENE',9,'1998-01-23 00:00:00.000','1998-02-20 00:00:00.000','1998-01-30 00:00:00.000',2,0.56,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10850','VICTE',1,'1998-01-23 00:00:00.000','1998-03-06 00:00:00.000','1998-01-30 00:00:00.000',1,49.19,'Victuailles en stock','2, rue du Commerce','Lyon',NULL,'69004','France'); +INSERT INTO Orders Values ('10851','RICAR',5,'1998-01-26 00:00:00.000','1998-02-23 00:00:00.000','1998-02-02 00:00:00.000',1,160.55,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10852','RATTC',8,'1998-01-26 00:00:00.000','1998-02-09 00:00:00.000','1998-01-30 00:00:00.000',1,174.05,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10853','BLAUS',9,'1998-01-27 00:00:00.000','1998-02-24 00:00:00.000','1998-02-03 00:00:00.000',2,53.83,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('10854','ERNSH',3,'1998-01-27 00:00:00.000','1998-02-24 00:00:00.000','1998-02-05 00:00:00.000',2,100.22,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10855','OLDWO',3,'1998-01-27 00:00:00.000','1998-02-24 00:00:00.000','1998-02-04 00:00:00.000',1,170.97,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10856','ANTON',3,'1998-01-28 00:00:00.000','1998-02-25 00:00:00.000','1998-02-10 00:00:00.000',2,58.43,'Antonio Moreno Taquer�a','Mataderos �2312','M�xico D.F.',NULL,'5023','Mexico'); +INSERT INTO Orders Values ('10857','BERGS',8,'1998-01-28 00:00:00.000','1998-02-25 00:00:00.000','1998-02-06 00:00:00.000',2,188.85,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10858','LACOR',2,'1998-01-29 00:00:00.000','1998-02-26 00:00:00.000','1998-02-03 00:00:00.000',1,52.51,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); +INSERT INTO Orders Values ('10859','FRANK',1,'1998-01-29 00:00:00.000','1998-02-26 00:00:00.000','1998-02-02 00:00:00.000',2,76.1,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10860','FRANR',3,'1998-01-29 00:00:00.000','1998-02-26 00:00:00.000','1998-02-04 00:00:00.000',3,19.26,'France restauration','54, rue Royale','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10861','WHITC',4,'1998-01-30 00:00:00.000','1998-02-27 00:00:00.000','1998-02-17 00:00:00.000',2,14.93,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10862','LEHMS',8,'1998-01-30 00:00:00.000','1998-03-13 00:00:00.000','1998-02-02 00:00:00.000',2,53.23,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10863','HILAA',4,'1998-02-02 00:00:00.000','1998-03-02 00:00:00.000','1998-02-17 00:00:00.000',2,30.26,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10864','AROUT',4,'1998-02-02 00:00:00.000','1998-03-02 00:00:00.000','1998-02-09 00:00:00.000',2,3.04,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10865','QUICK',2,'1998-02-02 00:00:00.000','1998-02-16 00:00:00.000','1998-02-12 00:00:00.000',1,348.14,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10866','BERGS',5,'1998-02-03 00:00:00.000','1998-03-03 00:00:00.000','1998-02-12 00:00:00.000',1,109.11,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10867','LONEP',6,'1998-02-03 00:00:00.000','1998-03-17 00:00:00.000','1998-02-11 00:00:00.000',1,1.93,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10868','QUEEN',7,'1998-02-04 00:00:00.000','1998-03-04 00:00:00.000','1998-02-23 00:00:00.000',2,191.27,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10869','SEVES',5,'1998-02-04 00:00:00.000','1998-03-04 00:00:00.000','1998-02-09 00:00:00.000',1,143.28,'Seven Seas Imports','90 Wadhurst Rd.','London',NULL,'OX15 4NB','UK'); +INSERT INTO Orders Values ('10870','WOLZA',5,'1998-02-04 00:00:00.000','1998-03-04 00:00:00.000','1998-02-13 00:00:00.000',3,12.04,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('10871','BONAP',9,'1998-02-05 00:00:00.000','1998-03-05 00:00:00.000','1998-02-10 00:00:00.000',2,112.27,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10872','GODOS',5,'1998-02-05 00:00:00.000','1998-03-05 00:00:00.000','1998-02-09 00:00:00.000',2,175.32,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10873','WILMK',4,'1998-02-06 00:00:00.000','1998-03-06 00:00:00.000','1998-02-09 00:00:00.000',1,0.82,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('10874','GODOS',5,'1998-02-06 00:00:00.000','1998-03-06 00:00:00.000','1998-02-11 00:00:00.000',2,19.58,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10875','BERGS',4,'1998-02-06 00:00:00.000','1998-03-06 00:00:00.000','1998-03-03 00:00:00.000',2,32.37,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10876','BONAP',7,'1998-02-09 00:00:00.000','1998-03-09 00:00:00.000','1998-02-12 00:00:00.000',3,60.42,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10877','RICAR',1,'1998-02-09 00:00:00.000','1998-03-09 00:00:00.000','1998-02-19 00:00:00.000',1,38.06,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('10878','QUICK',4,'1998-02-10 00:00:00.000','1998-03-10 00:00:00.000','1998-02-12 00:00:00.000',1,46.69,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10879','WILMK',3,'1998-02-10 00:00:00.000','1998-03-10 00:00:00.000','1998-02-12 00:00:00.000',3,8.5,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('10880','FOLKO',7,'1998-02-10 00:00:00.000','1998-03-24 00:00:00.000','1998-02-18 00:00:00.000',1,88.01,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10881','CACTU',4,'1998-02-11 00:00:00.000','1998-03-11 00:00:00.000','1998-02-18 00:00:00.000',1,2.84,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10882','SAVEA',4,'1998-02-11 00:00:00.000','1998-03-11 00:00:00.000','1998-02-20 00:00:00.000',3,23.1,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10883','LONEP',8,'1998-02-12 00:00:00.000','1998-03-12 00:00:00.000','1998-02-20 00:00:00.000',3,0.53,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('10884','LETSS',4,'1998-02-12 00:00:00.000','1998-03-12 00:00:00.000','1998-02-13 00:00:00.000',2,90.97,'Let-s Stop N Shop','87 Polk St. Suite 5','San Francisco','CA','94117','USA'); +INSERT INTO Orders Values ('10885','SUPRD',6,'1998-02-12 00:00:00.000','1998-03-12 00:00:00.000','1998-02-18 00:00:00.000',3,5.64,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10886','HANAR',1,'1998-02-13 00:00:00.000','1998-03-13 00:00:00.000','1998-03-02 00:00:00.000',1,4.99,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10887','GALED',8,'1998-02-13 00:00:00.000','1998-03-13 00:00:00.000','1998-02-16 00:00:00.000',3,1.25,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); +INSERT INTO Orders Values ('10888','GODOS',1,'1998-02-16 00:00:00.000','1998-03-16 00:00:00.000','1998-02-23 00:00:00.000',2,51.87,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10889','RATTC',9,'1998-02-16 00:00:00.000','1998-03-16 00:00:00.000','1998-02-23 00:00:00.000',3,280.61,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10890','DUMON',7,'1998-02-16 00:00:00.000','1998-03-16 00:00:00.000','1998-02-18 00:00:00.000',1,32.76,'Du monde entier','67, rue des Cinquante Otages','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10891','LEHMS',7,'1998-02-17 00:00:00.000','1998-03-17 00:00:00.000','1998-02-19 00:00:00.000',2,20.37,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10892','MAISD',4,'1998-02-17 00:00:00.000','1998-03-17 00:00:00.000','1998-02-19 00:00:00.000',2,120.27,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('10893','KOENE',9,'1998-02-18 00:00:00.000','1998-03-18 00:00:00.000','1998-02-20 00:00:00.000',2,77.78,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('10894','SAVEA',1,'1998-02-18 00:00:00.000','1998-03-18 00:00:00.000','1998-02-20 00:00:00.000',1,116.13,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10895','ERNSH',3,'1998-02-18 00:00:00.000','1998-03-18 00:00:00.000','1998-02-23 00:00:00.000',1,162.75,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10896','MAISD',7,'1998-02-19 00:00:00.000','1998-03-19 00:00:00.000','1998-02-27 00:00:00.000',3,32.45,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('10897','HUNGO',3,'1998-02-19 00:00:00.000','1998-03-19 00:00:00.000','1998-02-25 00:00:00.000',2,603.54,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10898','OCEAN',4,'1998-02-20 00:00:00.000','1998-03-20 00:00:00.000','1998-03-06 00:00:00.000',2,1.27,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10899','LILAS',5,'1998-02-20 00:00:00.000','1998-03-20 00:00:00.000','1998-02-26 00:00:00.000',3,1.21,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10900','WELLI',1,'1998-02-20 00:00:00.000','1998-03-20 00:00:00.000','1998-03-04 00:00:00.000',2,1.66,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10901','HILAA',4,'1998-02-23 00:00:00.000','1998-03-23 00:00:00.000','1998-02-26 00:00:00.000',1,62.09,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10902','FOLKO',1,'1998-02-23 00:00:00.000','1998-03-23 00:00:00.000','1998-03-03 00:00:00.000',1,44.15,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10903','HANAR',3,'1998-02-24 00:00:00.000','1998-03-24 00:00:00.000','1998-03-04 00:00:00.000',3,36.71,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10904','WHITC',3,'1998-02-24 00:00:00.000','1998-03-24 00:00:00.000','1998-02-27 00:00:00.000',3,162.95,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('10905','WELLI',9,'1998-02-24 00:00:00.000','1998-03-24 00:00:00.000','1998-03-06 00:00:00.000',2,13.72,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10906','WOLZA',4,'1998-02-25 00:00:00.000','1998-03-11 00:00:00.000','1998-03-03 00:00:00.000',3,26.29,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('10907','SPECD',6,'1998-02-25 00:00:00.000','1998-03-25 00:00:00.000','1998-02-27 00:00:00.000',3,9.19,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); +INSERT INTO Orders Values ('10908','REGGC',4,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-06 00:00:00.000',2,32.96,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10909','SANTG',1,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-10 00:00:00.000',2,53.05,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); +INSERT INTO Orders Values ('10910','WILMK',1,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-04 00:00:00.000',3,38.11,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('10911','GODOS',3,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-05 00:00:00.000',1,38.19,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10912','HUNGO',2,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-18 00:00:00.000',2,580.91,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10913','QUEEN',4,'1998-02-26 00:00:00.000','1998-03-26 00:00:00.000','1998-03-04 00:00:00.000',1,33.05,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10914','QUEEN',6,'1998-02-27 00:00:00.000','1998-03-27 00:00:00.000','1998-03-02 00:00:00.000',1,21.19,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10915','TORTU',2,'1998-02-27 00:00:00.000','1998-03-27 00:00:00.000','1998-03-02 00:00:00.000',2,3.51,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10916','RANCH',1,'1998-02-27 00:00:00.000','1998-03-27 00:00:00.000','1998-03-09 00:00:00.000',2,63.77,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10917','ROMEY',4,'1998-03-02 00:00:00.000','1998-03-30 00:00:00.000','1998-03-11 00:00:00.000',2,8.29,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); +INSERT INTO Orders Values ('10918','BOTTM',3,'1998-03-02 00:00:00.000','1998-03-30 00:00:00.000','1998-03-11 00:00:00.000',3,48.83,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10919','LINOD',2,'1998-03-02 00:00:00.000','1998-03-30 00:00:00.000','1998-03-04 00:00:00.000',2,19.8,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10920','AROUT',4,'1998-03-03 00:00:00.000','1998-03-31 00:00:00.000','1998-03-09 00:00:00.000',2,29.61,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10921','VAFFE',1,'1998-03-03 00:00:00.000','1998-04-14 00:00:00.000','1998-03-09 00:00:00.000',1,176.48,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10922','HANAR',5,'1998-03-03 00:00:00.000','1998-03-31 00:00:00.000','1998-03-05 00:00:00.000',3,62.74,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10923','LAMAI',7,'1998-03-03 00:00:00.000','1998-04-14 00:00:00.000','1998-03-13 00:00:00.000',3,68.26,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('10924','BERGS',3,'1998-03-04 00:00:00.000','1998-04-01 00:00:00.000','1998-04-08 00:00:00.000',2,151.52,'Berglunds snabbk�p','Berguvsv�gen �8','Lule�',NULL,'S-958 22','Sweden'); +INSERT INTO Orders Values ('10925','HANAR',3,'1998-03-04 00:00:00.000','1998-04-01 00:00:00.000','1998-03-13 00:00:00.000',1,2.27,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10926','ANATR',4,'1998-03-04 00:00:00.000','1998-04-01 00:00:00.000','1998-03-11 00:00:00.000',3,39.92,'Ana Trujillo Emparedados y helados','Avda. de la Constituci�n 2222','M�xico D.F.',NULL,'5021','Mexico'); +INSERT INTO Orders Values ('10927','LACOR',4,'1998-03-05 00:00:00.000','1998-04-02 00:00:00.000','1998-04-08 00:00:00.000',1,19.79,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); +INSERT INTO Orders Values ('10928','GALED',1,'1998-03-05 00:00:00.000','1998-04-02 00:00:00.000','1998-03-18 00:00:00.000',1,1.36,'Galer�a del gastron�mo','Rambla de Catalu�a, 23','Barcelona',NULL,'8022','Spain'); +INSERT INTO Orders Values ('10929','FRANK',6,'1998-03-05 00:00:00.000','1998-04-02 00:00:00.000','1998-03-12 00:00:00.000',1,33.93,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('10930','SUPRD',4,'1998-03-06 00:00:00.000','1998-04-17 00:00:00.000','1998-03-18 00:00:00.000',3,15.55,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('10931','RICSU',4,'1998-03-06 00:00:00.000','1998-03-20 00:00:00.000','1998-03-19 00:00:00.000',2,13.6,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10932','BONAP',8,'1998-03-06 00:00:00.000','1998-04-03 00:00:00.000','1998-03-24 00:00:00.000',1,134.64,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10933','ISLAT',6,'1998-03-06 00:00:00.000','1998-04-03 00:00:00.000','1998-03-16 00:00:00.000',3,54.15,'Island Trading','Garden House Crowther Way','Cowes','Isle of Wight','PO31 7PJ','UK'); +INSERT INTO Orders Values ('10934','LEHMS',3,'1998-03-09 00:00:00.000','1998-04-06 00:00:00.000','1998-03-12 00:00:00.000',3,32.01,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('10935','WELLI',4,'1998-03-09 00:00:00.000','1998-04-06 00:00:00.000','1998-03-18 00:00:00.000',3,47.59,'Wellington Importadora','Rua do Mercado, 12','Resende','SP','08737-363','Brazil'); +INSERT INTO Orders Values ('10936','GREAL',3,'1998-03-09 00:00:00.000','1998-04-06 00:00:00.000','1998-03-18 00:00:00.000',2,33.68,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('10937','CACTU',7,'1998-03-10 00:00:00.000','1998-03-24 00:00:00.000','1998-03-13 00:00:00.000',3,31.51,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10938','QUICK',3,'1998-03-10 00:00:00.000','1998-04-07 00:00:00.000','1998-03-16 00:00:00.000',2,31.89,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10939','MAGAA',2,'1998-03-10 00:00:00.000','1998-04-07 00:00:00.000','1998-03-13 00:00:00.000',2,76.33,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10940','BONAP',8,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-23 00:00:00.000',3,19.77,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('10941','SAVEA',7,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-20 00:00:00.000',2,400.81,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10942','REGGC',9,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-18 00:00:00.000',3,17.95,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('10943','BSBEV',4,'1998-03-11 00:00:00.000','1998-04-08 00:00:00.000','1998-03-19 00:00:00.000',2,2.17,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10944','BOTTM',6,'1998-03-12 00:00:00.000','1998-03-26 00:00:00.000','1998-03-13 00:00:00.000',3,52.92,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10945','MORGK',4,'1998-03-12 00:00:00.000','1998-04-09 00:00:00.000','1998-03-18 00:00:00.000',1,10.22,'Morgenstern Gesundkost','Heerstr. 22','Leipzig',NULL,'4179','Germany'); +INSERT INTO Orders Values ('10946','VAFFE',1,'1998-03-12 00:00:00.000','1998-04-09 00:00:00.000','1998-03-19 00:00:00.000',2,27.2,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10947','BSBEV',3,'1998-03-13 00:00:00.000','1998-04-10 00:00:00.000','1998-03-16 00:00:00.000',2,3.26,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('10948','GODOS',3,'1998-03-13 00:00:00.000','1998-04-10 00:00:00.000','1998-03-19 00:00:00.000',3,23.39,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('10949','BOTTM',2,'1998-03-13 00:00:00.000','1998-04-10 00:00:00.000','1998-03-17 00:00:00.000',3,74.44,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10950','MAGAA',1,'1998-03-16 00:00:00.000','1998-04-13 00:00:00.000','1998-03-23 00:00:00.000',2,2.5,'Magazzini Alimentari Riuniti','Via Ludovico il Moro 22','Bergamo',NULL,'24100','Italy'); +INSERT INTO Orders Values ('10951','RICSU',9,'1998-03-16 00:00:00.000','1998-04-27 00:00:00.000','1998-04-07 00:00:00.000',2,30.85,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('10952','ALFKI',1,'1998-03-16 00:00:00.000','1998-04-27 00:00:00.000','1998-03-24 00:00:00.000',1,40.42,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); +INSERT INTO Orders Values ('10953','AROUT',9,'1998-03-16 00:00:00.000','1998-03-30 00:00:00.000','1998-03-25 00:00:00.000',2,23.72,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('10954','LINOD',5,'1998-03-17 00:00:00.000','1998-04-28 00:00:00.000','1998-03-20 00:00:00.000',1,27.91,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('10955','FOLKO',8,'1998-03-17 00:00:00.000','1998-04-14 00:00:00.000','1998-03-20 00:00:00.000',2,3.26,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10956','BLAUS',6,'1998-03-17 00:00:00.000','1998-04-28 00:00:00.000','1998-03-20 00:00:00.000',2,44.65,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('10957','HILAA',8,'1998-03-18 00:00:00.000','1998-04-15 00:00:00.000','1998-03-27 00:00:00.000',3,105.36,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10958','OCEAN',7,'1998-03-18 00:00:00.000','1998-04-15 00:00:00.000','1998-03-27 00:00:00.000',2,49.56,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10959','GOURL',6,'1998-03-18 00:00:00.000','1998-04-29 00:00:00.000','1998-03-23 00:00:00.000',2,4.98,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('10960','HILAA',3,'1998-03-19 00:00:00.000','1998-04-02 00:00:00.000','1998-04-08 00:00:00.000',1,2.08,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10961','QUEEN',8,'1998-03-19 00:00:00.000','1998-04-16 00:00:00.000','1998-03-30 00:00:00.000',1,104.47,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('10962','QUICK',8,'1998-03-19 00:00:00.000','1998-04-16 00:00:00.000','1998-03-23 00:00:00.000',2,275.79,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10963','FURIB',9,'1998-03-19 00:00:00.000','1998-04-16 00:00:00.000','1998-03-26 00:00:00.000',3,2.7,'Furia Bacalhau e Frutos do Mar','Jardim das rosas n. 32','Lisboa',NULL,'1675','Portugal'); +INSERT INTO Orders Values ('10964','SPECD',3,'1998-03-20 00:00:00.000','1998-04-17 00:00:00.000','1998-03-24 00:00:00.000',2,87.38,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); +INSERT INTO Orders Values ('10965','OLDWO',6,'1998-03-20 00:00:00.000','1998-04-17 00:00:00.000','1998-03-30 00:00:00.000',3,144.38,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('10966','CHOPS',4,'1998-03-20 00:00:00.000','1998-04-17 00:00:00.000','1998-04-08 00:00:00.000',1,27.19,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('10967','TOMSP',2,'1998-03-23 00:00:00.000','1998-04-20 00:00:00.000','1998-04-02 00:00:00.000',2,62.22,'Toms Spezialit�ten','Luisenstr. 48','M�nster',NULL,'44087','Germany'); +INSERT INTO Orders Values ('10968','ERNSH',1,'1998-03-23 00:00:00.000','1998-04-20 00:00:00.000','1998-04-01 00:00:00.000',3,74.6,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10969','COMMI',1,'1998-03-23 00:00:00.000','1998-04-20 00:00:00.000','1998-03-30 00:00:00.000',2,0.21,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); +INSERT INTO Orders Values ('10970','BOLID',9,'1998-03-24 00:00:00.000','1998-04-07 00:00:00.000','1998-04-24 00:00:00.000',1,16.16,'B�lido Comidas preparadas','C/ Araquil, 67','Madrid',NULL,'28023','Spain'); +INSERT INTO Orders Values ('10971','FRANR',2,'1998-03-24 00:00:00.000','1998-04-21 00:00:00.000','1998-04-02 00:00:00.000',2,121.82,'France restauration','54, rue Royale','Nantes',NULL,'44000','France'); +INSERT INTO Orders Values ('10972','LACOR',4,'1998-03-24 00:00:00.000','1998-04-21 00:00:00.000','1998-03-26 00:00:00.000',2,0.02,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); +INSERT INTO Orders Values ('10973','LACOR',6,'1998-03-24 00:00:00.000','1998-04-21 00:00:00.000','1998-03-27 00:00:00.000',2,15.17,'La corne d-abondance','67, avenue de l-Europe','Versailles',NULL,'78000','France'); +INSERT INTO Orders Values ('10974','SPLIR',3,'1998-03-25 00:00:00.000','1998-04-08 00:00:00.000','1998-04-03 00:00:00.000',3,12.96,'Split Rail Beer & Ale','P.O. Box 555','Lander','WY','82520','USA'); +INSERT INTO Orders Values ('10975','BOTTM',1,'1998-03-25 00:00:00.000','1998-04-22 00:00:00.000','1998-03-27 00:00:00.000',3,32.27,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10976','HILAA',1,'1998-03-25 00:00:00.000','1998-05-06 00:00:00.000','1998-04-03 00:00:00.000',1,37.97,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('10977','FOLKO',8,'1998-03-26 00:00:00.000','1998-04-23 00:00:00.000','1998-04-10 00:00:00.000',3,208.5,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10978','MAISD',9,'1998-03-26 00:00:00.000','1998-04-23 00:00:00.000','1998-04-23 00:00:00.000',2,32.82,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('10979','ERNSH',8,'1998-03-26 00:00:00.000','1998-04-23 00:00:00.000','1998-03-31 00:00:00.000',2,353.07,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10980','FOLKO',4,'1998-03-27 00:00:00.000','1998-05-08 00:00:00.000','1998-04-17 00:00:00.000',1,1.26,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10981','HANAR',1,'1998-03-27 00:00:00.000','1998-04-24 00:00:00.000','1998-04-02 00:00:00.000',2,193.37,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('10982','BOTTM',2,'1998-03-27 00:00:00.000','1998-04-24 00:00:00.000','1998-04-08 00:00:00.000',1,14.01,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('10983','SAVEA',2,'1998-03-27 00:00:00.000','1998-04-24 00:00:00.000','1998-04-06 00:00:00.000',2,657.54,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10984','SAVEA',1,'1998-03-30 00:00:00.000','1998-04-27 00:00:00.000','1998-04-03 00:00:00.000',3,211.22,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('10985','HUNGO',2,'1998-03-30 00:00:00.000','1998-04-27 00:00:00.000','1998-04-02 00:00:00.000',1,91.51,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('10986','OCEAN',8,'1998-03-30 00:00:00.000','1998-04-27 00:00:00.000','1998-04-21 00:00:00.000',2,217.86,'Oc�ano Atl�ntico Ltda.','Ing. Gustavo Moncada 8585 Piso 20-A','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('10987','EASTC',8,'1998-03-31 00:00:00.000','1998-04-28 00:00:00.000','1998-04-06 00:00:00.000',1,185.48,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('10988','RATTC',3,'1998-03-31 00:00:00.000','1998-04-28 00:00:00.000','1998-04-10 00:00:00.000',2,61.14,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('10989','QUEDE',2,'1998-03-31 00:00:00.000','1998-04-28 00:00:00.000','1998-04-02 00:00:00.000',1,34.76,'Que Del�cia','Rua da Panificadora, 12','Rio de Janeiro','RJ','02389-673','Brazil'); +INSERT INTO Orders Values ('10990','ERNSH',2,'1998-04-01 00:00:00.000','1998-05-13 00:00:00.000','1998-04-07 00:00:00.000',3,117.61,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('10991','QUICK',1,'1998-04-01 00:00:00.000','1998-04-29 00:00:00.000','1998-04-07 00:00:00.000',1,38.51,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10992','THEBI',1,'1998-04-01 00:00:00.000','1998-04-29 00:00:00.000','1998-04-03 00:00:00.000',3,4.27,'The Big Cheese','89 Jefferson Way Suite 2','Portland','OR','97201','USA'); +INSERT INTO Orders Values ('10993','FOLKO',7,'1998-04-01 00:00:00.000','1998-04-29 00:00:00.000','1998-04-10 00:00:00.000',3,8.81,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('10994','VAFFE',2,'1998-04-02 00:00:00.000','1998-04-16 00:00:00.000','1998-04-09 00:00:00.000',3,65.53,'Vaffeljernet','Smagsloget 45','�rhus',NULL,'8200','Denmark'); +INSERT INTO Orders Values ('10995','PERIC',1,'1998-04-02 00:00:00.000','1998-04-30 00:00:00.000','1998-04-06 00:00:00.000',3,46,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('10996','QUICK',4,'1998-04-02 00:00:00.000','1998-04-30 00:00:00.000','1998-04-10 00:00:00.000',2,1.12,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('10997','LILAS',8,'1998-04-03 00:00:00.000','1998-05-15 00:00:00.000','1998-04-13 00:00:00.000',2,73.91,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('10998','WOLZA',8,'1998-04-03 00:00:00.000','1998-04-17 00:00:00.000','1998-04-17 00:00:00.000',2,20.31,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('10999','OTTIK',6,'1998-04-03 00:00:00.000','1998-05-01 00:00:00.000','1998-04-10 00:00:00.000',2,96.35,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('11000','RATTC',2,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-14 00:00:00.000',3,55.12,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +INSERT INTO Orders Values ('11001','FOLKO',2,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-14 00:00:00.000',2,197.3,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('11002','SAVEA',4,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-16 00:00:00.000',1,141.16,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('11003','THECR',3,'1998-04-06 00:00:00.000','1998-05-04 00:00:00.000','1998-04-08 00:00:00.000',3,14.91,'The Cracker Box','55 Grizzly Peak Rd.','Butte','MT','59801','USA'); +INSERT INTO Orders Values ('11004','MAISD',3,'1998-04-07 00:00:00.000','1998-05-05 00:00:00.000','1998-04-20 00:00:00.000',1,44.84,'Maison Dewey','Rue Joseph-Bens 532','Bruxelles',NULL,'B-1180','Belgium'); +INSERT INTO Orders Values ('11005','WILMK',2,'1998-04-07 00:00:00.000','1998-05-05 00:00:00.000','1998-04-10 00:00:00.000',1,0.75,'Wilman Kala','Keskuskatu 45','Helsinki',NULL,'21240','Finland'); +INSERT INTO Orders Values ('11006','GREAL',3,'1998-04-07 00:00:00.000','1998-05-05 00:00:00.000','1998-04-15 00:00:00.000',2,25.19,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('11007','PRINI',8,'1998-04-08 00:00:00.000','1998-05-06 00:00:00.000','1998-04-13 00:00:00.000',2,202.24,'Princesa Isabel Vinhos','Estrada da sa�de n. 58','Lisboa',NULL,'1756','Portugal'); +INSERT INTO Orders Values ('11008','ERNSH',7,'1998-04-08 00:00:00.000','1998-05-06 00:00:00.000',NULL,3,79.46,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('11009','GODOS',2,'1998-04-08 00:00:00.000','1998-05-06 00:00:00.000','1998-04-10 00:00:00.000',1,59.11,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('11010','REGGC',2,'1998-04-09 00:00:00.000','1998-05-07 00:00:00.000','1998-04-21 00:00:00.000',2,28.71,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('11011','ALFKI',3,'1998-04-09 00:00:00.000','1998-05-07 00:00:00.000','1998-04-13 00:00:00.000',1,1.21,'Alfred-s Futterkiste','Obere Str. 57','Berlin',NULL,'12209','Germany'); +INSERT INTO Orders Values ('11012','FRANK',1,'1998-04-09 00:00:00.000','1998-04-23 00:00:00.000','1998-04-17 00:00:00.000',3,242.95,'Frankenversand','Berliner Platz 43','M�nchen',NULL,'80805','Germany'); +INSERT INTO Orders Values ('11013','ROMEY',2,'1998-04-09 00:00:00.000','1998-05-07 00:00:00.000','1998-04-10 00:00:00.000',1,32.99,'Romero y tomillo','Gran V�a, 1','Madrid',NULL,'28001','Spain'); +INSERT INTO Orders Values ('11014','LINOD',2,'1998-04-10 00:00:00.000','1998-05-08 00:00:00.000','1998-04-15 00:00:00.000',3,23.6,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('11015','SANTG',2,'1998-04-10 00:00:00.000','1998-04-24 00:00:00.000','1998-04-20 00:00:00.000',2,4.62,'Sant� Gourmet','Erling Skakkes gate 78','Stavern',NULL,'4110','Norway'); +INSERT INTO Orders Values ('11016','AROUT',9,'1998-04-10 00:00:00.000','1998-05-08 00:00:00.000','1998-04-13 00:00:00.000',2,33.8,'Around the Horn','Brook Farm Stratford St. Mary','Colchester','Essex','CO7 6JX','UK'); +INSERT INTO Orders Values ('11017','ERNSH',9,'1998-04-13 00:00:00.000','1998-05-11 00:00:00.000','1998-04-20 00:00:00.000',2,754.26,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('11018','LONEP',4,'1998-04-13 00:00:00.000','1998-05-11 00:00:00.000','1998-04-16 00:00:00.000',2,11.65,'Lonesome Pine Restaurant','89 Chiaroscuro Rd.','Portland','OR','97219','USA'); +INSERT INTO Orders Values ('11019','RANCH',6,'1998-04-13 00:00:00.000','1998-05-11 00:00:00.000',NULL,3,3.17,'Rancho grande','Av. del Libertador 900','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('11020','OTTIK',2,'1998-04-14 00:00:00.000','1998-05-12 00:00:00.000','1998-04-16 00:00:00.000',2,43.3,'Ottilies K�seladen','Mehrheimerstr. 369','K�ln',NULL,'50739','Germany'); +INSERT INTO Orders Values ('11021','QUICK',3,'1998-04-14 00:00:00.000','1998-05-12 00:00:00.000','1998-04-21 00:00:00.000',1,297.18,'QUICK-Stop','Taucherstra�e 10','Cunewalde',NULL,'1307','Germany'); +INSERT INTO Orders Values ('11022','HANAR',9,'1998-04-14 00:00:00.000','1998-05-12 00:00:00.000','1998-05-04 00:00:00.000',2,6.27,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('11023','BSBEV',1,'1998-04-14 00:00:00.000','1998-04-28 00:00:00.000','1998-04-24 00:00:00.000',2,123.83,'B-s Beverages','Fauntleroy Circus','London',NULL,'EC2 5NT','UK'); +INSERT INTO Orders Values ('11024','EASTC',4,'1998-04-15 00:00:00.000','1998-05-13 00:00:00.000','1998-04-20 00:00:00.000',1,74.36,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('11025','WARTH',6,'1998-04-15 00:00:00.000','1998-05-13 00:00:00.000','1998-04-24 00:00:00.000',3,29.17,'Wartian Herkku','Torikatu 38','Oulu',NULL,'90110','Finland'); +INSERT INTO Orders Values ('11026','FRANS',4,'1998-04-15 00:00:00.000','1998-05-13 00:00:00.000','1998-04-28 00:00:00.000',1,47.09,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); +INSERT INTO Orders Values ('11027','BOTTM',1,'1998-04-16 00:00:00.000','1998-05-14 00:00:00.000','1998-04-20 00:00:00.000',1,52.52,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('11028','KOENE',2,'1998-04-16 00:00:00.000','1998-05-14 00:00:00.000','1998-04-22 00:00:00.000',1,29.59,'K�niglich Essen','Maubelstr. 90','Brandenburg',NULL,'14776','Germany'); +INSERT INTO Orders Values ('11029','CHOPS',4,'1998-04-16 00:00:00.000','1998-05-14 00:00:00.000','1998-04-27 00:00:00.000',1,47.84,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('11030','SAVEA',7,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-27 00:00:00.000',2,830.75,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('11031','SAVEA',6,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-24 00:00:00.000',2,227.22,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('11032','WHITC',2,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-23 00:00:00.000',3,606.19,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('11033','RICSU',7,'1998-04-17 00:00:00.000','1998-05-15 00:00:00.000','1998-04-23 00:00:00.000',3,84.74,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('11034','OLDWO',8,'1998-04-20 00:00:00.000','1998-06-01 00:00:00.000','1998-04-27 00:00:00.000',1,40.32,'Old World Delicatessen','2743 Bering St.','Anchorage','AK','99508','USA'); +INSERT INTO Orders Values ('11035','SUPRD',2,'1998-04-20 00:00:00.000','1998-05-18 00:00:00.000','1998-04-24 00:00:00.000',2,0.17,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('11036','DRACD',8,'1998-04-20 00:00:00.000','1998-05-18 00:00:00.000','1998-04-22 00:00:00.000',3,149.47,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); +INSERT INTO Orders Values ('11037','GODOS',7,'1998-04-21 00:00:00.000','1998-05-19 00:00:00.000','1998-04-27 00:00:00.000',1,3.2,'Godos Cocina T�pica','C/ Romero, 33','Sevilla',NULL,'41101','Spain'); +INSERT INTO Orders Values ('11038','SUPRD',1,'1998-04-21 00:00:00.000','1998-05-19 00:00:00.000','1998-04-30 00:00:00.000',2,29.59,'Supr�mes d�lices','Boulevard Tirou, 255','Charleroi',NULL,'B-6000','Belgium'); +INSERT INTO Orders Values ('11039','LINOD',1,'1998-04-21 00:00:00.000','1998-05-19 00:00:00.000',NULL,2,65,'LINO-Delicateses','Ave. 5 de Mayo Porlamar','I. de Margarita','Nueva Esparta','4980','Venezuela'); +INSERT INTO Orders Values ('11040','GREAL',4,'1998-04-22 00:00:00.000','1998-05-20 00:00:00.000',NULL,3,18.84,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('11041','CHOPS',3,'1998-04-22 00:00:00.000','1998-05-20 00:00:00.000','1998-04-28 00:00:00.000',2,48.22,'Chop-suey Chinese','Hauptstr. 31','Bern',NULL,'3012','Switzerland'); +INSERT INTO Orders Values ('11042','COMMI',2,'1998-04-22 00:00:00.000','1998-05-06 00:00:00.000','1998-05-01 00:00:00.000',1,29.99,'Com�rcio Mineiro','Av. dos Lus�adas, 23','Sao Paulo','SP','05432-043','Brazil'); +INSERT INTO Orders Values ('11043','SPECD',5,'1998-04-22 00:00:00.000','1998-05-20 00:00:00.000','1998-04-29 00:00:00.000',2,8.8,'Sp�cialit�s du monde','25, rue Lauriston','Paris',NULL,'75016','France'); +INSERT INTO Orders Values ('11044','WOLZA',4,'1998-04-23 00:00:00.000','1998-05-21 00:00:00.000','1998-05-01 00:00:00.000',1,8.72,'Wolski Zajazd','ul. Filtrowa 68','Warszawa',NULL,'01-012','Poland'); +INSERT INTO Orders Values ('11045','BOTTM',6,'1998-04-23 00:00:00.000','1998-05-21 00:00:00.000',NULL,2,70.58,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('11046','WANDK',8,'1998-04-23 00:00:00.000','1998-05-21 00:00:00.000','1998-04-24 00:00:00.000',2,71.64,'Die Wandernde Kuh','Adenauerallee 900','Stuttgart',NULL,'70563','Germany'); +INSERT INTO Orders Values ('11047','EASTC',7,'1998-04-24 00:00:00.000','1998-05-22 00:00:00.000','1998-05-01 00:00:00.000',3,46.62,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('11048','BOTTM',7,'1998-04-24 00:00:00.000','1998-05-22 00:00:00.000','1998-04-30 00:00:00.000',3,24.12,'Bottom-Dollar Markets','23 Tsawassen Blvd.','Tsawassen','BC','T2F 8M4','Canada'); +INSERT INTO Orders Values ('11049','GOURL',3,'1998-04-24 00:00:00.000','1998-05-22 00:00:00.000','1998-05-04 00:00:00.000',1,8.34,'Gourmet Lanchonetes','Av. Brasil, 442','Campinas','SP','04876-786','Brazil'); +INSERT INTO Orders Values ('11050','FOLKO',8,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000','1998-05-05 00:00:00.000',2,59.41,'Folk och f� HB','�kergatan 24','Br�cke',NULL,'S-844 67','Sweden'); +INSERT INTO Orders Values ('11051','LAMAI',7,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000',NULL,3,2.79,'La maison d-Asie','1 rue Alsace-Lorraine','Toulouse',NULL,'31000','France'); +INSERT INTO Orders Values ('11052','HANAR',3,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000','1998-05-01 00:00:00.000',1,67.26,'Hanari Carnes','Rua do Pa�o, 67','Rio de Janeiro','RJ','05454-876','Brazil'); +INSERT INTO Orders Values ('11053','PICCO',2,'1998-04-27 00:00:00.000','1998-05-25 00:00:00.000','1998-04-29 00:00:00.000',2,53.05,'Piccolo und mehr','Geislweg 14','Salzburg',NULL,'5020','Austria'); +INSERT INTO Orders Values ('11054','CACTU',8,'1998-04-28 00:00:00.000','1998-05-26 00:00:00.000',NULL,1,0.33,'Cactus Comidas para llevar','Cerrito 333','Buenos Aires',NULL,'1010','Argentina'); +INSERT INTO Orders Values ('11055','HILAA',7,'1998-04-28 00:00:00.000','1998-05-26 00:00:00.000','1998-05-05 00:00:00.000',2,120.92,'HILARION-Abastos','Carrera 22 con Ave. Carlos Soublette #8-35','San Crist�bal','T�chira','5022','Venezuela'); +INSERT INTO Orders Values ('11056','EASTC',8,'1998-04-28 00:00:00.000','1998-05-12 00:00:00.000','1998-05-01 00:00:00.000',2,278.96,'Eastern Connection','35 King George','London',NULL,'WX3 6FW','UK'); +INSERT INTO Orders Values ('11057','NORTS',3,'1998-04-29 00:00:00.000','1998-05-27 00:00:00.000','1998-05-01 00:00:00.000',3,4.13,'North/South','South House 300 Queensbridge','London',NULL,'SW7 1RZ','UK'); +INSERT INTO Orders Values ('11058','BLAUS',9,'1998-04-29 00:00:00.000','1998-05-27 00:00:00.000',NULL,3,31.14,'Blauer See Delikatessen','Forsterstr. 57','Mannheim',NULL,'68306','Germany'); +INSERT INTO Orders Values ('11059','RICAR',2,'1998-04-29 00:00:00.000','1998-06-10 00:00:00.000',NULL,2,85.8,'Ricardo Adocicados','Av. Copacabana, 267','Rio de Janeiro','RJ','02389-890','Brazil'); +INSERT INTO Orders Values ('11060','FRANS',2,'1998-04-30 00:00:00.000','1998-05-28 00:00:00.000','1998-05-04 00:00:00.000',2,10.98,'Franchi S.p.A.','Via Monte Bianco 34','Torino',NULL,'10100','Italy'); +INSERT INTO Orders Values ('11061','GREAL',4,'1998-04-30 00:00:00.000','1998-06-11 00:00:00.000',NULL,3,14.01,'Great Lakes Food Market','2732 Baker Blvd.','Eugene','OR','97403','USA'); +INSERT INTO Orders Values ('11062','REGGC',4,'1998-04-30 00:00:00.000','1998-05-28 00:00:00.000',NULL,2,29.93,'Reggiani Caseifici','Strada Provinciale 124','Reggio Emilia',NULL,'42100','Italy'); +INSERT INTO Orders Values ('11063','HUNGO',3,'1998-04-30 00:00:00.000','1998-05-28 00:00:00.000','1998-05-06 00:00:00.000',2,81.73,'Hungry Owl All-Night Grocers','8 Johnstown Road','Cork','Co. Cork',NULL,'Ireland'); +INSERT INTO Orders Values ('11064','SAVEA',1,'1998-05-01 00:00:00.000','1998-05-29 00:00:00.000','1998-05-04 00:00:00.000',1,30.09,'Save-a-lot Markets','187 Suffolk Ln.','Boise','ID','83720','USA'); +INSERT INTO Orders Values ('11065','LILAS',8,'1998-05-01 00:00:00.000','1998-05-29 00:00:00.000',NULL,1,12.91,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('11066','WHITC',7,'1998-05-01 00:00:00.000','1998-05-29 00:00:00.000','1998-05-04 00:00:00.000',2,44.72,'White Clover Markets','1029 - 12th Ave. S.','Seattle','WA','98124','USA'); +INSERT INTO Orders Values ('11067','DRACD',1,'1998-05-04 00:00:00.000','1998-05-18 00:00:00.000','1998-05-06 00:00:00.000',2,7.98,'Drachenblut Delikatessen','Walserweg 21','Aachen',NULL,'52066','Germany'); +INSERT INTO Orders Values ('11068','QUEEN',8,'1998-05-04 00:00:00.000','1998-06-01 00:00:00.000',NULL,2,81.75,'Queen Cozinha','Alameda dos Can�rios, 891','Sao Paulo','SP','05487-020','Brazil'); +INSERT INTO Orders Values ('11069','TORTU',1,'1998-05-04 00:00:00.000','1998-06-01 00:00:00.000','1998-05-06 00:00:00.000',2,15.67,'Tortuga Restaurante','Avda. Azteca 123','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('11070','LEHMS',2,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,1,136,'Lehmanns Marktstand','Magazinweg 7','Frankfurt a.M.',NULL,'60528','Germany'); +INSERT INTO Orders Values ('11071','LILAS',1,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,1,0.93,'LILA-Supermercado','Carrera 52 con Ave. Bol�var #65-98 Llano Largo','Barquisimeto','Lara','3508','Venezuela'); +INSERT INTO Orders Values ('11072','ERNSH',4,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,2,258.64,'Ernst Handel','Kirchgasse 6','Graz',NULL,'8010','Austria'); +INSERT INTO Orders Values ('11073','PERIC',2,'1998-05-05 00:00:00.000','1998-06-02 00:00:00.000',NULL,2,24.95,'Pericles Comidas cl�sicas','Calle Dr. Jorge Cash 321','M�xico D.F.',NULL,'5033','Mexico'); +INSERT INTO Orders Values ('11074','SIMOB',7,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,18.44,'Simons bistro','Vinb�ltet 34','Kobenhavn',NULL,'1734','Denmark'); +INSERT INTO Orders Values ('11075','RICSU',8,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,6.19,'Richter Supermarkt','Starenweg 5','Gen�ve',NULL,'1204','Switzerland'); +INSERT INTO Orders Values ('11076','BONAP',4,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,38.28,'Bon app-','12, rue des Bouchers','Marseille',NULL,'13008','France'); +INSERT INTO Orders Values ('11077','RATTC',1,'1998-05-06 00:00:00.000','1998-06-03 00:00:00.000',NULL,2,8.53,'Rattlesnake Canyon Grocery','2817 Milton Dr.','Albuquerque','NM','87110','USA'); +-- +SELECT * FROM [Orders]; +--Products +DROP TABLE IF EXISTS [Products]; +CREATE TABLE [Products]( + [ProductID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, + [ProductName]TEXT NOT NULL, + [SupplierID]INTEGER, + [CategoryID]INTEGER, + [QuantityPerUnit]TEXT, + [UnitPrice]NUMERIC DEFAULT 0, + [UnitsInStock]INTEGER DEFAULT 0, + [UnitsOnOrder]INTEGER DEFAULT 0, + [ReorderLevel]INTEGER DEFAULT 0, + [Discontinued]TEXT NOT NULL DEFAULT '0', + CHECK ([UnitPrice]>=(0)), + CHECK ([ReorderLevel]>=(0)), + CHECK ([UnitsInStock]>=(0)), + CHECK ([UnitsOnOrder]>=(0)), + FOREIGN KEY ([ProductID]) REFERENCES [Categories] ([CategoryID]) + ON DELETE NO ACTION ON UPDATE NO ACTION, + FOREIGN KEY ([SupplierID]) REFERENCES [Suppliers] ([SupplierID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); + +--CREATE INDEX [ProductName]ON [Products]("ProductName" ASC); + +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(1, 'Chai', 1, 1, '10 boxes x 20 bags', 18, 39, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(2, 'Chang', 1, 1, '24 - 12 oz bottles', 19, 17, 40, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(3, 'Aniseed Syrup', 1, 2, '12 - 550 ml bottles', 10, 13, 70, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(4, 'Chef Anton''s Cajun Seasoning', 2, 2, '48 - 6 oz jars', 22, 53, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(5, 'Chef Anton''s Gumbo Mix', 2, 2, '36 boxes', 21.35, 0, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(6, 'Grandma''s Boysenberry Spread', 3, 2, '12 - 8 oz jars', 25, 120, 0, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(7, 'Uncle Bob''s Organic Dried Pears', 3, 7, '12 - 1 lb pkgs.', 30, 15, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(8, 'Northwoods Cranberry Sauce', 3, 2, '12 - 12 oz jars', 40, 6, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(9, 'Mishi Kobe Niku', 4, 6, '18 - 500 g pkgs.', 97, 29, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(10, 'Ikura', 4, 8, '12 - 200 ml jars', 31, 31, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(11, 'Queso Cabrales', 5, 4, '1 kg pkg.', 21, 22, 30, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(12, 'Queso Manchego La Pastora', 5, 4, '10 - 500 g pkgs.', 38, 86, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(13, 'Konbu', 6, 8, '2 kg box', 6, 24, 0, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(14, 'Tofu', 6, 7, '40 - 100 g pkgs.', 23.25, 35, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(15, 'Genen Shouyu', 6, 2, '24 - 250 ml bottles', 15.5, 39, 0, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(16, 'Pavlova', 7, 3, '32 - 500 g boxes', 17.45, 29, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(17, 'Alice Mutton', 7, 6, '20 - 1 kg tins', 39, 0, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(18, 'Carnarvon Tigers', 7, 8, '16 kg pkg.', 62.5, 42, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(19, 'Teatime Chocolate Biscuits', 8, 3, '10 boxes x 12 pieces', 9.2, 25, 0, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(20, 'Sir Rodney''s Marmalade', 8, 3, '30 gift boxes', 81, 40, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(21, 'Sir Rodney''s Scones', 8, 3, '24 pkgs. x 4 pieces', 10, 3, 40, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(22, 'Gustaf''s Kn�ckebr�d', 9, 5, '24 - 500 g pkgs.', 21, 104, 0, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(23, 'Tunnbr�d', 9, 5, '12 - 250 g pkgs.', 9, 61, 0, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(24, 'Guaran� Fant�stica', 10, 1, '12 - 355 ml cans', 4.5, 20, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(25, 'NuNuCa Nu�-Nougat-Creme', 11, 3, '20 - 450 g glasses', 14, 76, 0, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(26, 'Gumb�r Gummib�rchen', 11, 3, '100 - 250 g bags', 31.23, 15, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(27, 'Schoggi Schokolade', 11, 3, '100 - 100 g pieces', 43.9, 49, 0, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(28, 'R�ssle Sauerkraut', 12, 7, '25 - 825 g cans', 45.6, 26, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(29, 'Th�ringer Rostbratwurst', 12, 6, '50 bags x 30 sausgs.', 123.79, 0, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(30, 'Nord-Ost Matjeshering', 13, 8, '10 - 200 g glasses', 25.89, 10, 0, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(31, 'Gorgonzola Telino', 14, 4, '12 - 100 g pkgs', 12.5, 0, 70, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(32, 'Mascarpone Fabioli', 14, 4, '24 - 200 g pkgs.', 32, 9, 40, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(33, 'Geitost', 15, 4, '500 g', 2.5, 112, 0, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(34, 'Sasquatch Ale', 16, 1, '24 - 12 oz bottles', 14, 111, 0, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(35, 'Steeleye Stout', 16, 1, '24 - 12 oz bottles', 18, 20, 0, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(36, 'Inlagd Sill', 17, 8, '24 - 250 g jars', 19, 112, 0, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(37, 'Gravad lax', 17, 8, '12 - 500 g pkgs.', 26, 11, 50, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(38, 'C�te de Blaye', 18, 1, '12 - 75 cl bottles', 263.5, 17, 0, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(39, 'Chartreuse verte', 18, 1, '750 cc per bottle', 18, 69, 0, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(40, 'Boston Crab Meat', 19, 8, '24 - 4 oz tins', 18.4, 123, 0, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(41, 'Jack''s New England Clam Chowder', 19, 8, '12 - 12 oz cans', 9.65, 85, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(42, 'Singaporean Hokkien Fried Mee', 20, 5, '32 - 1 kg pkgs.', 14, 26, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(43, 'Ipoh Coffee', 20, 1, '16 - 500 g tins', 46, 17, 10, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(44, 'Gula Malacca', 20, 2, '20 - 2 kg bags', 19.45, 27, 0, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(45, 'Rogede sild', 21, 8, '1k pkg.', 9.5, 5, 70, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(46, 'Spegesild', 21, 8, '4 - 450 g glasses', 12, 95, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(47, 'Zaanse koeken', 22, 3, '10 - 4 oz boxes', 9.5, 36, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(48, 'Chocolade', 22, 3, '10 pkgs.', 12.75, 15, 70, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(49, 'Maxilaku', 23, 3, '24 - 50 g pkgs.', 20, 10, 60, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(50, 'Valkoinen suklaa', 23, 3, '12 - 100 g bars', 16.25, 65, 0, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(51, 'Manjimup Dried Apples', 24, 7, '50 - 300 g pkgs.', 53, 20, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(52, 'Filo Mix', 24, 5, '16 - 2 kg boxes', 7, 38, 0, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(53, 'Perth Pasties', 24, 6, '48 pieces', 32.8, 0, 0, 0, 1); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(54, 'Tourti�re', 25, 6, '16 pies', 7.45, 21, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(55, 'P�t� chinois', 25, 6, '24 boxes x 2 pies', 24, 115, 0, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(56, 'Gnocchi di nonna Alice', 26, 5, '24 - 250 g pkgs.', 38, 21, 10, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(57, 'Ravioli Angelo', 26, 5, '24 - 250 g pkgs.', 19.5, 36, 0, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(58, 'Escargots de Bourgogne', 27, 8, '24 pieces', 13.25, 62, 0, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(59, 'Raclette Courdavault', 28, 4, '5 kg pkg.', 55, 79, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(60, 'Camembert Pierrot', 28, 4, '15 - 300 g rounds', 34, 19, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(61, 'Sirop d''�rable', 29, 2, '24 - 500 ml bottles', 28.5, 113, 0, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(62, 'Tarte au sucre', 29, 3, '48 pies', 49.3, 17, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(63, 'Vegie-spread', 7, 2, '15 - 625 g jars', 43.9, 24, 0, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(64, 'Wimmers gute Semmelkn�del', 12, 5, '20 bags x 4 pieces', 33.25, 22, 80, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(65, 'Louisiana Fiery Hot Pepper Sauce', 2, 2, '32 - 8 oz bottles', 21.05, 76, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(66, 'Louisiana Hot Spiced Okra', 2, 2, '24 - 8 oz jars', 17, 4, 100, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(67, 'Laughing Lumberjack Lager', 16, 1, '24 - 12 oz bottles', 14, 52, 0, 10, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(68, 'Scottish Longbreads', 8, 3, '10 boxes x 8 pieces', 12.5, 6, 10, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(69, 'Gudbrandsdalsost', 15, 4, '10 kg pkg.', 36, 26, 0, 15, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(70, 'Outback Lager', 7, 1, '24 - 355 ml bottles', 15, 15, 10, 30, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(71, 'Flotemysost', 15, 4, '10 - 500 g pkgs.', 21.5, 26, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(72, 'Mozzarella di Giovanni', 14, 4, '24 - 200 g pkgs.', 34.8, 14, 0, 0, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(73, 'R�d Kaviar', 17, 8, '24 - 150 g jars', 15, 101, 0, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(74, 'Longlife Tofu', 4, 7, '5 kg pkg.', 10, 4, 20, 5, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(75, 'Rh�nbr�u Klosterbier', 12, 1, '24 - 0.5 l bottles', 7.75, 125, 0, 25, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(76, 'Lakkalik��ri', 23, 1, '500 ml', 18, 57, 0, 20, 0); +INSERT INTO Products (ProductID, ProductName, SupplierID, CategoryID, QuantityPerUnit, UnitPrice, UnitsInStock, UnitsOnOrder, ReorderLevel, Discontinued) +VALUES(77, 'Original Frankfurter gr�ne So�e', 12, 2, '12 boxes', 13, 32, 0, 15, 0); +SELECT * FROM [Products]; +--Regions +DROP TABLE IF EXISTS [Regions]; +CREATE TABLE [Regions]( + [RegionID]INTEGER NOT NULL PRIMARY KEY, + [RegionDescription]TEXT NOT NULL +); +INSERT INTO Regions (RegionID, RegionDescription) +VALUES(1, 'Eastern '); +INSERT INTO Regions (RegionID, RegionDescription) +VALUES(2, 'Westerns '); +INSERT INTO Regions (RegionID, RegionDescription) +VALUES(3, 'Northern '); +INSERT INTO Regions (RegionID, RegionDescription) +VALUES(4, 'Southern '); +SELECT * FROM [Regions]; +--Shippers +DROP TABLE IF EXISTS[Shippers]; +CREATE TABLE [Shippers]( + [ShipperID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, + [CompanyName]TEXT NOT NULL, + [Phone]TEXT +); +INSERT INTO Shippers (ShipperID, CompanyName, Phone) +VALUES(1, 'Speedy Express', '(503) 555-9831'); +INSERT INTO Shippers (ShipperID, CompanyName, Phone) +VALUES(2, 'United Package', '(503) 555-3199'); +INSERT INTO Shippers (ShipperID, CompanyName, Phone) +VALUES(3, 'Federal Shipping', '(503) 555-9931'); +SELECT * FROM [Shippers]; +--Suppliers +DROP TABLE IF EXISTS [Suppliers]; +CREATE TABLE [Suppliers]( + [SupplierID]INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT, + [CompanyName]TEXT NOT NULL, + [ContactName]TEXT, + [ContactTitle]TEXT, + [Address]TEXT, + [City]TEXT, + [Region]TEXT, + [PostalCode]TEXT, + [Country]TEXT, + [Phone]TEXT, + [Fax]TEXT, + [HomePage]TEXT +); +INSERT INTO Suppliers VALUES(1,'Exotic Liquids','Charlotte Cooper','Purchasing Manager','49 Gilbert St.','London',NULL,'EC1 4SD','UK','(171) 555-2222',NULL,NULL); +INSERT INTO Suppliers VALUES(2,'New Orleans Cajun Delights','Shelley Burke','Order Administrator','P.O. Box 78934','New Orleans','LA','70117','USA','(100) 555-4822',NULL,'#CAJUN.HTM#'); +INSERT INTO Suppliers VALUES(3,'Grandma Kelly''s Homestead','Regina Murphy','Sales Representative','707 Oxford Rd.','Ann Arbor','MI','48104','USA','(313) 555-5735','(313) 555-3349',NULL); +INSERT INTO Suppliers VALUES(4,'Tokyo Traders','Yoshi Nagase','Marketing Manager','9-8 Sekimai +Musashino-shi','Tokyo',NULL,'100','Japan','(03) 3555-5011',NULL,NULL); +INSERT INTO Suppliers VALUES(5,'Cooperativa de Quesos ''Las Cabras''','Antonio del Valle Saavedra ','Export Administrator','Calle del Rosal 4','Oviedo','Asturias','33007','Spain','(98) 598 76 54',NULL,NULL); +INSERT INTO Suppliers VALUES(6,'Mayumi''s','Mayumi Ohno','Marketing Representative','92 Setsuko +Chuo-ku','Osaka',NULL,'545','Japan','(06) 431-7877',NULL,'Mayumi''s (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/mayumi.htm#'); +INSERT INTO Suppliers VALUES(7,'Pavlova, Ltd.','Ian Devling','Marketing Manager','74 Rose St. +Moonie Ponds','Melbourne','Victoria','3058','Australia','(03) 444-2343','(03) 444-6588',NULL); +INSERT INTO Suppliers VALUES(8,'Specialty Biscuits, Ltd.','Peter Wilson','Sales Representative','29 King''s Way','Manchester',NULL,'M14 GSD','UK','(161) 555-4448',NULL,NULL); +INSERT INTO Suppliers VALUES(9,'PB Kn�ckebr�d AB','Lars Peterson','Sales Agent','Kaloadagatan 13','G�teborg',NULL,'S-345 67','Sweden ','031-987 65 43','031-987 65 91',NULL); +INSERT INTO Suppliers VALUES(10,'Refrescos Americanas LTDA','Carlos Diaz','Marketing Manager','Av. das Americanas 12.890','S�o Paulo',NULL,'5442','Brazil','(11) 555 4640',NULL,NULL); +INSERT INTO Suppliers VALUES(11,'Heli S��waren GmbH & Co. KG','Petra Winkler','Sales Manager','Tiergartenstra�e 5','Berlin',NULL,'10785','Germany','(010) 9984510',NULL,NULL); +INSERT INTO Suppliers VALUES(12,'Plutzer Lebensmittelgro�m�rkte AG','Martin Bein','International Marketing Mgr.','Bogenallee 51','Frankfurt',NULL,'60439','Germany','(069) 992755',NULL,'Plutzer (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/plutzer.htm#'); +INSERT INTO Suppliers VALUES(13,'Nord-Ost-Fisch Handelsgesellschaft mbH','Sven Petersen','Coordinator Foreign Markets','Frahmredder 112a','Cuxhaven',NULL,'27478','Germany','(04721) 8713','(04721) 8714',NULL); +INSERT INTO Suppliers VALUES(14,'Formaggi Fortini s.r.l.','Elio Rossi','Sales Representative','Viale Dante, 75','Ravenna',NULL,'48100','Italy','(0544) 60323','(0544) 60603','#FORMAGGI.HTM#'); +INSERT INTO Suppliers VALUES(15,'Norske Meierier','Beate Vileid','Marketing Manager','Hatlevegen 5','Sandvika',NULL,'1320','Norway','(0)2-953010',NULL,NULL); +INSERT INTO Suppliers VALUES(16,'Bigfoot Breweries','Cheryl Saylor','Regional Account Rep.','3400 - 8th Avenue +Suite 210','Bend','OR','97101','USA','(503) 555-9931',NULL,NULL); +INSERT INTO Suppliers VALUES(17,'Svensk Sj�f�da AB','Michael Bj�rn','Sales Representative','Brovallav�gen 231','Stockholm',NULL,'S-123 45','Sweden','08-123 45 67',NULL,NULL); +INSERT INTO Suppliers VALUES(18,'Aux joyeux eccl�siastiques','Guyl�ne Nodier','Sales Manager','203, Rue des Francs-Bourgeois','Paris',NULL,'75004','France','(1) 03.83.00.68','(1) 03.83.00.62',NULL); +INSERT INTO Suppliers VALUES(19,'New England Seafood Cannery','Robb Merchant','Wholesale Account Agent','Order Processing Dept. +2100 Paul Revere Blvd.','Boston','MA','02134','USA','(617) 555-3267','(617) 555-3389',NULL); +INSERT INTO Suppliers VALUES(20,'Leka Trading','Chandra Leka','Owner','471 Serangoon Loop, Suite #402','Singapore',NULL,'0512','Singapore','555-8787',NULL,NULL); +INSERT INTO Suppliers VALUES(21,'Lyngbysild','Niels Petersen','Sales Manager','Lyngbysild +Fiskebakken 10','Lyngby',NULL,'2800','Denmark','43844108','43844115',NULL); +INSERT INTO Suppliers VALUES(22,'Zaanse Snoepfabriek','Dirk Luchte','Accounting Manager','Verkoop +Rijnweg 22','Zaandam',NULL,'9999 ZZ','Netherlands','(12345) 1212','(12345) 1210',NULL); +INSERT INTO Suppliers VALUES(23,'Karkki Oy','Anne Heikkonen','Product Manager','Valtakatu 12','Lappeenranta',NULL,'53120','Finland','(953) 10956',NULL,NULL); +INSERT INTO Suppliers VALUES(24,'G''day, Mate','Wendy Mackenzie','Sales Representative','170 Prince Edward Parade +Hunter''s Hill','Sydney','NSW','2042','Australia','(02) 555-5914','(02) 555-4873','G''day Mate (on the World Wide Web)#http://www.microsoft.com/accessdev/sampleapps/gdaymate.htm#'); +INSERT INTO Suppliers VALUES(25,'Ma Maison','Jean-Guy Lauzon','Marketing Manager','2960 Rue St. Laurent','Montr�al','Qu�bec','H1J 1C3','Canada','(514) 555-9022',NULL,NULL); +INSERT INTO Suppliers VALUES(26,'Pasta Buttini s.r.l.','Giovanni Giudici','Order Administrator','Via dei Gelsomini, 153','Salerno',NULL,'84100','Italy','(089) 6547665','(089) 6547667',NULL); +INSERT INTO Suppliers VALUES(27,'Escargots Nouveaux','Marie Delamare','Sales Manager','22, rue H. Voiron','Montceau',NULL,'71300','France','85.57.00.07',NULL,NULL); +INSERT INTO Suppliers VALUES(28,'Gai p�turage','Eliane Noz','Sales Representative','Bat. B +3, rue des Alpes','Annecy',NULL,'74000','France','38.76.98.06','38.76.98.58',NULL); +INSERT INTO Suppliers VALUES(29,'For�ts d''�rables','Chantal Goulet','Accounting Manager','148 rue Chasseur','Ste-Hyacinthe','Qu�bec','J2S 7S8','Canada','(514) 555-2955','(514) 555-2921',NULL); +SELECT * FROM [Suppliers]; +--Territories +DROP TABLE IF EXISTS[Territories]; +CREATE TABLE [Territories]( + [TerritoryID]TEXT NOT NULL, + [TerritoryDescription]TEXT NOT NULL, + [RegionID]INTEGER NOT NULL, + PRIMARY KEY ("TerritoryID"), + FOREIGN KEY ([RegionID]) REFERENCES [Regions] ([RegionID]) + ON DELETE NO ACTION ON UPDATE NO ACTION +); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('01581', 'Westboro ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('01730', 'Bedford ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('01833', 'Georgetow ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('02116', 'Boston ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('02139', 'Cambridge ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('02184', 'Braintree ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('02903', 'Providence ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('03049', 'Hollis ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('03801', 'Portsmouth ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('06897', 'Wilton ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('07960', 'Morristown ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('08837', 'Edison ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('10019', 'New York ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('10038', 'New York ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('11747', 'Mellvile ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('14450', 'Fairport ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('19428', 'Philadelphia ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('19713', 'Neward ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('20852', 'Rockville ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('27403', 'Greensboro ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('27511', 'Cary ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('29202', 'Columbia ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('30346', 'Atlanta ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('31406', 'Savannah ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('32859', 'Orlando ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('33607', 'Tampa ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('40222', 'Louisville ', 1); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('44122', 'Beachwood ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('45839', 'Findlay ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('48075', 'Southfield ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('48084', 'Troy ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('48304', 'Bloomfield Hills ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('53404', 'Racine ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('55113', 'Roseville ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('55439', 'Minneapolis ', 3); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('60179', 'Hoffman Estates ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('60601', 'Chicago ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('72716', 'Bentonville ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('75234', 'Dallas ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('78759', 'Austin ', 4); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('80202', 'Denver ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('80909', 'Colorado Springs ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('85014', 'Phoenix ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('85251', 'Scottsdale ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('90405', 'Santa Monica ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('94025', 'Menlo Park ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('94105', 'San Francisco ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('95008', 'Campbell ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('95054', 'Santa Clara ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('95060', 'Santa Cruz ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('98004', 'Bellevue ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('98052', 'Redmond ', 2); +INSERT INTO Territories (TerritoryID, TerritoryDescription, RegionID) +VALUES('98104', 'Seattle ', 2); +SELECT * FROM [Territories]; +-- +-- Valon Hoti @ 2010-07-04 [YYYY-MM-DD] +-- Prishtine,10000 +-- KOSOVE +-- DATABASE : Northwind +-- ORIGIN : MS SQL +-- SOURCE : SQLITE 3 +-- +-- Converted VIEWS from MS SQL version to Sqlite 3 +-- +--[Alphabetical list of products] +DROP VIEW IF EXISTS [Alphabetical list of products]; +-- +CREATE VIEW [Alphabetical list of products] +AS +SELECT Products.*, + Categories.CategoryName +FROM Categories + INNER JOIN Products ON Categories.CategoryID = Products.CategoryID +WHERE (((Products.Discontinued)=0)); +-- +SELECT * FROM [Alphabetical list of products]; -- OK +-- +--[Current Product List]; +DROP VIEW IF EXISTS [Current Product List]; +CREATE VIEW [Current Product List] +AS +SELECT ProductID, + ProductName +FROM Products +WHERE Discontinued=0; +-- +SELECT * FROM [Current Product List]; -- OK +-- +--[Customer and Suppliers by City]; +DROP VIEW IF EXISTS [Customer and Suppliers by City]; +-- +CREATE VIEW [Customer and Suppliers by City] +AS +SELECT City, + CompanyName, + ContactName, + 'Customers' AS Relationship +FROM Customers +UNION +SELECT City, + CompanyName, + ContactName, + 'Suppliers' +FROM Suppliers +ORDER BY City, CompanyName; +-- +SELECT * FROM [Customer and Suppliers by City]; -- OK +-- +--[Invoices]; +DROP VIEW IF EXISTS [Invoices]; +-- +CREATE VIEW [Invoices] +AS +SELECT Orders.ShipName, + Orders.ShipAddress, + Orders.ShipCity, + Orders.ShipRegion, + Orders.ShipPostalCode, + Orders.ShipCountry, + Orders.CustomerID, + Customers.CompanyName AS CustomerName, + Customers.Address, + Customers.City, + Customers.Region, + Customers.PostalCode, + Customers.Country, + (Employees.FirstName + ' ' + Employees.LastName) AS Salesperson, + Orders.OrderID, + Orders.OrderDate, + Orders.RequiredDate, + Orders.ShippedDate, + Shippers.CompanyName As ShipperName, + [Order Details].ProductID, + Products.ProductName, + [Order Details].UnitPrice, + [Order Details].Quantity, + [Order Details].Discount, + ((([Order Details].UnitPrice*Quantity*(1-Discount))/100)*100) AS ExtendedPrice, + Orders.Freight +FROM Customers + JOIN Orders ON Customers.CustomerID = Orders.CustomerID + JOIN Employees ON Employees.EmployeeID = Orders.EmployeeID + JOIN [Order Details] ON Orders.OrderID = [Order Details].OrderID + JOIN Products ON Products.ProductID = [Order Details].ProductID + JOIN Shippers ON Shippers.ShipperID = Orders.ShipVia; +-- +SELECT * FROM [Invoices]; -- OK +-- +--[Orders Qry]; +DROP VIEW IF EXISTS [Orders Qry]; +-- +CREATE VIEW [Orders Qry] AS +SELECT Orders.OrderID, + Orders.CustomerID, + Orders.EmployeeID, + Orders.OrderDate, + Orders.RequiredDate, + Orders.ShippedDate, + Orders.ShipVia, + Orders.Freight, + Orders.ShipName, + Orders.ShipAddress, + Orders.ShipCity, + Orders.ShipRegion, + Orders.ShipPostalCode, + Orders.ShipCountry, + Customers.CompanyName, + Customers.Address, + Customers.City, + Customers.Region, + Customers.PostalCode, + Customers.Country +FROM Customers + JOIN Orders ON Customers.CustomerID = Orders.CustomerID; +-- +SELECT * FROM [Orders Qry]; -- OK +-- +--[Order Subtotals] +DROP VIEW IF EXISTS [Order Subtotals]; +-- +CREATE VIEW [Order Subtotals] AS +SELECT [Order Details].OrderID, +Sum(([Order Details].UnitPrice*Quantity*(1-Discount)/100)*100) AS Subtotal +FROM [Order Details] +GROUP BY [Order Details].OrderID; +-- +SELECT * FROM [Order Subtotals]; -- OK +-- +--[Orders Qry]; +DROP VIEW IF EXISTS [Orders Qry]; +-- +CREATE VIEW [Orders Qry] AS +SELECT Orders.OrderID, + Orders.CustomerID, + Orders.EmployeeID, + Orders.OrderDate, + Orders.RequiredDate, + Orders.ShippedDate, + Orders.ShipVia, + Orders.Freight, + Orders.ShipName, + Orders.ShipAddress, + Orders.ShipCity, + Orders.ShipRegion, + Orders.ShipPostalCode, + Orders.ShipCountry, + Customers.CompanyName, + Customers.Address, + Customers.City, + Customers.Region, + Customers.PostalCode, + Customers.Country +FROM Customers + INNER JOIN Orders ON Customers.CustomerID = Orders.CustomerID; +-- +SELECT * FROM [Orders Qry]; -- OK +-- +--[Product Sales for 1997] +DROP VIEW IF EXISTS [Product Sales for 1997]; +-- +CREATE VIEW [Product Sales for 1997] AS +SELECT Categories.CategoryName, + Products.ProductName, + Sum(([Order Details].UnitPrice*Quantity*(1-Discount)/100)*100) AS ProductSales +FROM Categories + JOIN Products On Categories.CategoryID = Products.CategoryID + JOIN [Order Details] on Products.ProductID = [Order Details].ProductID + JOIN [Orders] on Orders.OrderID = [Order Details].OrderID +WHERE Orders.ShippedDate Between DATETIME('1997-01-01') And DATETIME('1997-12-31') +GROUP BY Categories.CategoryName, Products.ProductName; +-- +SELECT * FROM [Product Sales for 1997]; -- OK +--[Products Above Average Price] +DROP VIEW IF EXISTS [Products Above Average Price]; +-- +CREATE VIEW [Products Above Average Price] AS +SELECT Products.ProductName, + Products.UnitPrice +FROM Products +WHERE Products.UnitPrice>(SELECT AVG(UnitPrice) From Products); +-- +SELECT * FROM [Products Above Average Price]; -- OK +-- +--[Products by Category] +DROP VIEW IF EXISTS [Products by Category]; +-- +CREATE VIEW [Products by Category] AS +SELECT Categories.CategoryName, + Products.ProductName, + Products.QuantityPerUnit, + Products.UnitsInStock, + Products.Discontinued +FROM Categories + INNER JOIN Products ON Categories.CategoryID = Products.CategoryID +WHERE Products.Discontinued <> 1; +-- +SELECT * FROM [Products by Category]; -- OK +-- +--[Quarterly Orders] +DROP VIEW IF EXISTS [Quarterly Orders]; +-- +CREATE VIEW [Quarterly Orders] AS +SELECT DISTINCT Customers.CustomerID, + Customers.CompanyName, + Customers.City, + Customers.Country +FROM Customers + JOIN Orders ON Customers.CustomerID = Orders.CustomerID +WHERE Orders.OrderDate BETWEEN DATETIME('1997-01-01') And DATETIME('1997-12-31'); +-- +SELECT * FROM [Quarterly Orders]; --OK +-- +--[Sales Totals by Amount] +DROP VIEW IF EXISTS [Sales Totals by Amount]; +-- +CREATE VIEW [Sales Totals by Amount] AS +SELECT [Order Subtotals].Subtotal AS SaleAmount, + Orders.OrderID, + Customers.CompanyName, + Orders.ShippedDate +FROM Customers + JOIN Orders ON Customers.CustomerID = Orders.CustomerID + JOIN [Order Subtotals] ON Orders.OrderID = [Order Subtotals].OrderID +WHERE ([Order Subtotals].Subtotal >2500) +AND (Orders.ShippedDate BETWEEN DATETIME('1997-01-01') And DATETIME('1997-12-31')); +-- +Select * From [Sales Totals by Amount]; --OK +-- +--[Summary of Sales by Quarter] +DROP VIEW IF EXISTS [Summary of Sales by Quarter]; +CREATE VIEW [Summary of Sales by Quarter] AS +SELECT Orders.ShippedDate, + Orders.OrderID, + [Order Subtotals].Subtotal +FROM Orders + INNER JOIN [Order Subtotals] ON Orders.OrderID = [Order Subtotals].OrderID +WHERE Orders.ShippedDate IS NOT NULL; +-- +SELECT * FROM [Sales Totals by Amount]; +-- +--[Summary of Sales by Year] +DROP VIEW IF EXISTS [Summary of Sales by Year]; +CREATE VIEW [Summary of Sales by Year] AS +SELECT Orders.ShippedDate, + Orders.OrderID, + [Order Subtotals].Subtotal +FROM Orders + INNER JOIN [Order Subtotals] ON Orders.OrderID = [Order Subtotals].OrderID +WHERE Orders.ShippedDate IS NOT NULL; +-- +--[Category Sales for 1997] +DROP VIEW IF EXISTS [Category Sales for 1997]; +-- +CREATE VIEW [Category Sales for 1997] AS +SELECT [Product Sales for 1997].CategoryName, + Sum([Product Sales for 1997].ProductSales) AS CategorySales +FROM [Product Sales for 1997] +GROUP BY [Product Sales for 1997].CategoryName; +-- +SELECT * FROM [Category Sales for 1997]; +-- +--[Order Details Extended] +DROP VIEW IF EXISTS [Order Details Extended]; +CREATE VIEW [Order Details Extended] AS +SELECT [Order Details].OrderID, + [Order Details].ProductID, + Products.ProductName, + [Order Details].UnitPrice, + [Order Details].Quantity, + [Order Details].Discount, + ([Order Details].UnitPrice*Quantity*(1-Discount)/100)*100 AS ExtendedPrice +FROM Products + JOIN [Order Details] ON Products.ProductID = [Order Details].ProductID; +-- +SELECT * FROM [Order Details Extended]; +-- +--[Sales by Category] +DROP VIEW IF EXISTS [Sales by Category]; +-- +CREATE VIEW [Sales by Category] AS +SELECT Categories.CategoryID, + Categories.CategoryName, + Products.ProductName, + Sum([Order Details Extended].ExtendedPrice) AS ProductSales +FROM Categories + JOIN Products + ON Categories.CategoryID = Products.CategoryID + JOIN [Order Details Extended] + ON Products.ProductID = [Order Details Extended].ProductID + JOIN Orders + ON Orders.OrderID = [Order Details Extended].OrderID +WHERE Orders.OrderDate BETWEEN DATETIME('1997-01-01') And DATETIME('1997-12-31') +GROUP BY Categories.CategoryID, Categories.CategoryName, Products.ProductName; +-- +SELECT * FROM [Sales by Category]; --OK \ No newline at end of file