diff --git a/docs/en/sql-reference/00-sql-reference/10-data-types/vector.md b/docs/en/sql-reference/00-sql-reference/10-data-types/vector.md
index ff824e58b6..3bc0137fa0 100644
--- a/docs/en/sql-reference/00-sql-reference/10-data-types/vector.md
+++ b/docs/en/sql-reference/00-sql-reference/10-data-types/vector.md
@@ -27,6 +27,10 @@ Where:
Databend supports creating vector indexes using the HNSW (Hierarchical Navigable Small World) algorithm for fast approximate nearest neighbor search, delivering **23x faster** query performance.
+:::note
+To enhance query performance and reduce index file size, HNSW indexes perform quantization on raw vector data. Compared to using unquantized raw vectors, this quantization process may introduce minor errors (typically negligible) when calculating distance values. While this causes slight deviations from the exact true distance, the error is usually sufficiently small to not significantly impact the quality or relevance of search results. This trade-off is a common practice in the field of vector indexes to achieve high performance and efficient storage.
+:::
+
### Index Syntax
```sql
@@ -53,11 +57,10 @@ Where:
```sql
-- Create table with vector index for efficient similarity search
-CREATE OR REPLACE TABLE products (
- id INT,
- name VARCHAR,
- features VECTOR(3),
- VECTOR INDEX idx_features(features) distance='cosine'
+CREATE OR REPLACE TABLE simple_wiki (
+ content VARCHAR,
+ embedding VECTOR(1024),
+ VECTOR INDEX idx_embedding(embedding) distance='cosine'
);
```
@@ -66,40 +69,41 @@ CREATE OR REPLACE TABLE products (
### Step 2: Insert Vector Data
```sql
--- Insert product feature vectors
-INSERT INTO products VALUES
- (1, 'Product A', [1.0, 2.0, 3.0]::VECTOR(3)),
- (2, 'Product B', [2.0, 1.0, 4.0]::VECTOR(3)),
- (3, 'Product C', [1.5, 2.5, 2.0]::VECTOR(3)),
- (4, 'Product D', [3.0, 1.0, 1.0]::VECTOR(3));
+-- Copy simple wiki embedding vectors
+COPY INTO simple_wiki
+FROM 'https://datafuse-1253727613.cos.ap-hongkong.myqcloud.com/data/simple_wiki.csv'
+FILE_FORMAT = (
+ TYPE = 'CSV',
+ FIELD_DELIMITER = '|',
+ RECORD_DELIMITER = '\n',
+ SKIP_HEADER = 0
+);
```
### Step 3: Perform Similarity Search
```sql
--- Find products similar to a query vector [1.2, 2.1, 2.8]
+-- Find simple wiki similar to a query vector
SELECT
- id,
- name,
- features,
- cosine_distance(features, [1.2, 2.1, 2.8]::VECTOR(3)) AS distance
-FROM products
+ content,
+ cosine_distance(embedding, 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AS distance
+FROM simple_wiki
ORDER BY distance ASC
LIMIT 3;
```
Result:
```
-┌─────┬───────────┬───────────────┬──────────────────┐
-│ id │ name │ features │ distance │
-├─────┼───────────┼───────────────┼──────────────────┤
-│ 2 │ Product B │ [2.0,1.0,4.0] │ 0.5384207 │
-│ 3 │ Product C │ [1.5,2.5,2.0] │ 0.5772848 │
-│ 1 │ Product A │ [1.0,2.0,3.0] │ 0.60447836 │
-└─────┴───────────┴───────────────┴──────────────────┘
+╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
+│ content │ distance │
+├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┼──────────────┤
+│ Bernd FÃ rster ( born 3 May , 1956 ) is a former German football player . │ 0.0031585693 │
+│ Nuneaton also has a football team called Nuneaton Town . │ 0.6006012 │
+│ Dr Patrick John Hillery ( ; 2 May , 1923 -- April 12 , 2008 ) is an Irish Fianna FÃ il politician and the sixth President of Ireland from 1976 until 1990 . │ 0.6014652 │
+╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
```
-**Explanation**: The query finds the 3 most similar products to the search vector `[1.2, 2.1, 2.8]`. Lower cosine distance values indicate higher similarity.
+**Explanation**: The query finds the 3 most similar simple wikis to the search vector. Lower cosine distance values indicate higher similarity.
## Unloading and Loading Vector Data
@@ -110,10 +114,9 @@ Result:
COPY INTO @mystage/unload/
FROM (
SELECT
- id,
- name,
- features
- FROM products
+ content,
+ embedding
+ FROM simple_wiki
)
FILE_FORMAT = (TYPE = 'PARQUET');
```
@@ -122,20 +125,18 @@ FILE_FORMAT = (TYPE = 'PARQUET');
```sql
-- Create target table for import
-CREATE OR REPLACE TABLE products_imported (
- id INT,
- name VARCHAR,
- features VECTOR(3),
- VECTOR INDEX idx_features(features) distance='cosine'
+CREATE OR REPLACE TABLE simple_wiki_imported (
+ content VARCHAR,
+ embedding VECTOR(1024),
+ VECTOR INDEX idx_embedding(embedding) distance='cosine'
);
-- Import vector data
-COPY INTO products_imported (id, name, features)
+COPY INTO simple_wiki_imported (content, embedding)
FROM (
SELECT
- id,
- name,
- features
+ content,
+ embedding
FROM @mystage/unload/
)
FILE_FORMAT = (TYPE = 'PARQUET');
diff --git a/docs/en/sql-reference/20-sql-functions/07-aggregate-functions/aggregate-array-agg.md b/docs/en/sql-reference/20-sql-functions/07-aggregate-functions/aggregate-array-agg.md
index cd28ad1ab7..afdb506255 100644
--- a/docs/en/sql-reference/20-sql-functions/07-aggregate-functions/aggregate-array-agg.md
+++ b/docs/en/sql-reference/20-sql-functions/07-aggregate-functions/aggregate-array-agg.md
@@ -3,7 +3,7 @@ title: ARRAY_AGG
title_includes: LIST
---
-The ARRAY_AGG function (also known by its alias LIST) transforms all the values, including NULL, of a specific column in a query result into an array.
+The ARRAY_AGG function (also known by its alias LIST) transforms all the values, excluding NULL, of a specific column in a query result into an array.
## Syntax
@@ -68,4 +68,4 @@ GROUP BY movie_title;
| movie_title | ratings |
|-------------|------------|
| Inception | [5, 5, 4] |
-```
\ No newline at end of file
+```
diff --git a/docs/en/sql-reference/20-sql-functions/11-vector-functions/00-vector-cosine-distance.md b/docs/en/sql-reference/20-sql-functions/11-vector-functions/00-vector-cosine-distance.md
index d0c9561434..51f5c6778b 100644
--- a/docs/en/sql-reference/20-sql-functions/11-vector-functions/00-vector-cosine-distance.md
+++ b/docs/en/sql-reference/20-sql-functions/11-vector-functions/00-vector-cosine-distance.md
@@ -46,13 +46,28 @@ This function performs vector computations within Databend and does not rely on
## Examples
+### Basic Usage
+
+```sql
+-- Calculate cosine distance between two vectors
+SELECT COSINE_DISTANCE([1.0, 2.0, 3.0]::vector(3), [4.0, 5.0, 6.0]::vector(3)) AS distance;
+```
+
+Result:
+```
+╭─────────────╮
+│ distance │
+├─────────────┤
+│ 0.025368214 │
+╰─────────────╯
+```
+
Create a table with vector data:
```sql
CREATE OR REPLACE TABLE vectors (
id INT,
- vec VECTOR(3),
- VECTOR INDEX idx_vec(vec) distance='cosine'
+ vec VECTOR(3)
);
INSERT INTO vectors VALUES
@@ -64,20 +79,22 @@ INSERT INTO vectors VALUES
Find the vector most similar to [1, 2, 3]:
```sql
-SELECT
+SELECT
+ id,
vec,
COSINE_DISTANCE(vec, [1.0000, 2.0000, 3.0000]::VECTOR(3)) AS distance
FROM
vectors
ORDER BY
- distance ASC
-LIMIT 1;
+ distance ASC;
```
```
-+-------------------------+----------+
-| vec | distance |
-+-------------------------+----------+
-| [1.0000,2.2000,3.0000] | 0.0 |
-+-------------------------+----------+
+╭────────────────────────────────────╮
+│ id │ vec │ distance │
+├────┼───────────┼───────────────────┤
+│ 1 │ [1,2,3] │ 0.000000059604645 │
+│ 2 │ [1,2.2,3] │ 0.00096315145 │
+│ 3 │ [4,5,6] │ 0.025368214 │
+╰────────────────────────────────────╯
```
diff --git a/docs/en/sql-reference/20-sql-functions/11-vector-functions/01-vector-l2-distance.md b/docs/en/sql-reference/20-sql-functions/11-vector-functions/01-vector-l2-distance.md
index fefb301c73..755189fed1 100644
--- a/docs/en/sql-reference/20-sql-functions/11-vector-functions/01-vector-l2-distance.md
+++ b/docs/en/sql-reference/20-sql-functions/11-vector-functions/01-vector-l2-distance.md
@@ -49,13 +49,28 @@ Where v1ᵢ and v2ᵢ are the elements of the input vectors.
## Examples
+### Basic Usage
+
+```sql
+-- Calculate L2 distance between two vectors
+SELECT L2_DISTANCE([1.0, 2.0, 3.0]::vector(3), [4.0, 5.0, 6.0]::vector(3)) AS distance;
+```
+
+Result:
+```
+╭──────────╮
+│ distance │
+├──────────┤
+│ 5.196152 │
+╰──────────╯
+```
+
Create a table with vector data:
```sql
CREATE OR REPLACE TABLE vectors (
id INT,
- vec VECTOR(3),
- VECTOR INDEX idx_vec(vec) distance='l2'
+ vec VECTOR(3)
);
INSERT INTO vectors VALUES
@@ -78,11 +93,12 @@ ORDER BY
```
```
-+----+-------------------------+----------+
-| id | vec | distance |
-+----+-------------------------+----------+
-| 1 | [1.0000,2.0000,3.0000] | 0.0 |
-| 2 | [1.0000,2.2000,3.0000] | 0.2 |
-| 3 | [4.0000,5.0000,6.0000] | 5.196152 |
-+----+-------------------------+----------+
-```
\ No newline at end of file
+╭─────────────────────────────╮
+│ id │ vec │ distance │
+├────┼───────────┼────────────┤
+│ 1 │ [1,2,3] │ 0 │
+│ 2 │ [1,2.2,3] │ 0.20000005 │
+│ 3 │ [4,5,6] │ 5.196152 │
+╰─────────────────────────────╯
+```
+
diff --git a/docs/en/sql-reference/20-sql-functions/11-vector-functions/02-vector-l1-distance.md b/docs/en/sql-reference/20-sql-functions/11-vector-functions/02-vector-l1-distance.md
index a9b2c085ae..6138029468 100644
--- a/docs/en/sql-reference/20-sql-functions/11-vector-functions/02-vector-l1-distance.md
+++ b/docs/en/sql-reference/20-sql-functions/11-vector-functions/02-vector-l1-distance.md
@@ -37,38 +37,52 @@ Formula: `L1_DISTANCE(a, b) = |a1 - b1| + |a2 - b2| + ... + |an - bn|`
```sql
-- Calculate L1 distance between two vectors
-SELECT L1_DISTANCE([1.0, 2.0, 3.0], [4.0, 5.0, 6.0]) AS distance;
+SELECT L1_DISTANCE([1.0, 2.0, 3.0]::vector(3), [4.0, 5.0, 6.0]::vector(3)) AS distance;
```
Result:
```
-┌──────────┐
+╭──────────╮
│ distance │
├──────────┤
-│ 9.0 │
-└──────────┘
+│ 9 │
+╰──────────╯
```
-### Using with VECTOR Type
+Create a table with vector data:
```sql
--- Create table with VECTOR columns
-CREATE TABLE products (
+CREATE OR REPLACE TABLE vectors (
id INT,
- features VECTOR(3),
- VECTOR INDEX idx_features(features) distance='l1'
+ vec VECTOR(3)
);
-INSERT INTO products VALUES
- (1, [1.0, 2.0, 3.0]::VECTOR(3)),
- (2, [2.0, 3.0, 4.0]::VECTOR(3));
+INSERT INTO vectors VALUES
+ (1, [1.0000, 2.0000, 3.0000]),
+ (2, [1.0000, 2.2000, 3.0000]),
+ (3, [4.0000, 5.0000, 6.0000]);
+```
+
+Find the vector closest to [1, 2, 3] using L1 distance:
--- Find products similar to a query vector using L1 distance
-SELECT
+```sql
+SELECT
id,
- features,
- L1_DISTANCE(features, [1.5, 2.5, 3.5]::VECTOR(3)) AS distance
-FROM products
-ORDER BY distance ASC
-LIMIT 5;
+ vec,
+ L1_DISTANCE(vec, [1.0000, 2.0000, 3.0000]::VECTOR(3)) AS distance
+FROM
+ vectors
+ORDER BY
+ distance ASC;
```
+
+```
+╭─────────────────────────────╮
+│ id │ vec │ distance │
+├────┼───────────┼────────────┤
+│ 1 │ [1,2,3] │ 0 │
+│ 2 │ [1,2.2,3] │ 0.20000005 │
+│ 3 │ [4,5,6] │ 9 │
+╰─────────────────────────────╯
+```
+
diff --git a/docs/en/sql-reference/20-sql-functions/11-vector-functions/index.md b/docs/en/sql-reference/20-sql-functions/11-vector-functions/index.md
index d06bf6245f..47dd528a78 100644
--- a/docs/en/sql-reference/20-sql-functions/11-vector-functions/index.md
+++ b/docs/en/sql-reference/20-sql-functions/11-vector-functions/index.md
@@ -9,30 +9,30 @@ This section provides reference information for vector functions in Databend. Th
| Function | Description | Example |
|----------|-------------|--------|
-| [COSINE_DISTANCE](./00-vector-cosine-distance.md) | Calculates angular distance between vectors (range: 0-1) | `COSINE_DISTANCE([1,2,3], [4,5,6])` |
-| [L1_DISTANCE](./02-vector-l1-distance.md) | Calculates Manhattan (L1) distance between vectors | `L1_DISTANCE([1,2,3], [4,5,6])` |
-| [L2_DISTANCE](./01-vector-l2-distance.md) | Calculates Euclidean (straight-line) distance | `L2_DISTANCE([1,2,3], [4,5,6])` |
+| [COSINE_DISTANCE](./00-vector-cosine-distance.md) | Calculates Cosine distance between vectors (range: 0-1) | `COSINE_DISTANCE([1,2,3]::VECTOR(3), [4,5,6]::VECTOR(3))` |
+| [L1_DISTANCE](./02-vector-l1-distance.md) | Calculates Manhattan (L1) distance between vectors | `L1_DISTANCE([1,2,3]::VECTOR(3), [4,5,6]::VECTOR(3))` |
+| [L2_DISTANCE](./01-vector-l2-distance.md) | Calculates Euclidean (straight-line) distance | `L2_DISTANCE([1,2,3]::VECTOR(3), [4,5,6]::VECTOR(3))` |
+| [INNER_PRODUCT](./03-inner-product.md) | Calculates the inner product (dot product) of two vectors | `INNER_PRODUCT([1,2,3]::VECTOR(3), [4,5,6]::VECTOR(3))` |
## Vector Analysis Functions
| Function | Description | Example |
|----------|-------------|--------|
-| [INNER_PRODUCT](./03-inner-product.md) | Calculates the inner product (dot product) of two vectors | `INNER_PRODUCT([1,2,3], [4,5,6])` |
-| [VECTOR_NORM](./05-vector-norm.md) | Calculates the L2 norm (magnitude) of a vector | `VECTOR_NORM([1,2,3])` |
-| [VECTOR_DIMS](./04-vector-dims.md) | Returns the dimensionality of a vector | `VECTOR_DIMS([1,2,3])` |
+| [VECTOR_NORM](./05-vector-norm.md) | Calculates the L2 norm (magnitude) of a vector | `VECTOR_NORM([1,2,3]::VECTOR(3))` |
+| [VECTOR_DIMS](./04-vector-dims.md) | Returns the dimensionality of a vector | `VECTOR_DIMS([1,2,3]::VECTOR(3))` |
## Distance Functions Comparison
| Function | Description | Range | Best For | Use Cases |
|----------|-------------|-------|----------|-----------|
-| [COSINE_DISTANCE](./00-vector-cosine-distance.md) | Angular distance between vectors | [0, 1] | When direction matters more than magnitude | • Document similarity
• Semantic search
• Recommendation systems
• Text analysis |
+| [COSINE_DISTANCE](./00-vector-cosine-distance.md) | Cosine distance between vectors | [0, 1] | When direction matters more than magnitude | • Document similarity
• Semantic search
• Recommendation systems
• Text analysis |
| [L1_DISTANCE](./02-vector-l1-distance.md) | Manhattan (L1) distance between vectors | [0, ∞) | Robust to outliers | • Feature comparison
• Outlier detection
• Grid-based pathfinding
• Clustering algorithms |
-| [L2_DISTANCE](./01-vector-l2-distance.md) | Euclidean (straight-line) distance | [0, ∞) | When magnitude matters | • Image similarity
• Geographical data
• Anomaly detection
• Feature-based clustering |
+| [L2_DISTANCE](./01-vector-l2-distance.md) | Euclidean (straight-line) distance | [0, ∞) | When magnitude and absolute differences are important | • Image similarity
• Geographical data
• Anomaly detection
• Feature-based clustering |
+| [INNER_PRODUCT](./03-inner-product.md) | Dot product of two vectors | (-∞, ∞) | When both magnitude and direction are important | • Neural networks
• Machine learning
• Physics calculations
• Vector projections |
## Vector Analysis Functions Comparison
| Function | Description | Range | Best For | Use Cases |
|----------|-------------|-------|----------|-----------|
-| [INNER_PRODUCT](./03-inner-product.md) | Dot product of two vectors | (-∞, ∞) | Measuring vector similarity and projections | • Neural networks
• Machine learning
• Physics calculations
• Vector projections |
| [VECTOR_NORM](./05-vector-norm.md) | L2 norm (magnitude) of a vector | [0, ∞) | Vector normalization and magnitude | • Vector normalization
• Feature scaling
• Magnitude calculations
• Physics applications |
| [VECTOR_DIMS](./04-vector-dims.md) | Number of vector dimensions | [1, 4096] | Vector validation and processing | • Data validation
• Dynamic processing
• Debugging
• Compatibility checks |
diff --git a/static/public/data/simple_wiki.csv b/static/public/data/simple_wiki.csv
new file mode 100644
index 0000000000..0c75271d4d
--- /dev/null
+++ b/static/public/data/simple_wiki.csv
@@ -0,0 +1,100 @@
+It was recorded with new drummer Alan White , and is the third highest-selling album in the United Kingdom as of 2006 , with 4.4 million units sold 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+It is the only member of the genus Bubulcus , with two subspecies , the Western Cattle Egret and the Eastern Cattle Egret 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+The follow-up to Definitely Maybe was Oasis ' highest-selling album to date ; ( What 's the Story ) Morning Glory ? 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+The Wood Mouse ( Apodemus sylvaticus ) or Long-tailed Field Mouse is a common rodent 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+Ø Ù Ø Ø Ù ) , known in Latin as Alboacen ( 972-1058 CE ) , was an Arab Muslim jurist of the Shafii school 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+These changes can protect transgender people from discrimination 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+The New York Times described downtown Scottsdale as `` a desert version of Miami 's South Beach . '' The Times article also stated there was `` plenty of late night partying and a buzzing hotel scene '' 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+Heart rate ( HR ) is how many times a heart beats per minute ( bpm ) 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+There are many businesses located in Scottsdale 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+Some of these companies are : AXA , GE Capital , DHL , Discount Tire Company , Tempo Creative , Fidelity Investments , JDA Software and The Vanguard Group 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+Scottsdale is also home of the International School of Arizona , a non-profit language school that teaches children who speak a foreign language ( French or Spanish ) 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+The lowest temperature ever recorded in the city is 19.0 Â F ( â ' 7.2 Â C ) , on February 20 , 1955 , and the highest temperature ever recorded is 119.0 Â F ( 48.3 Â C ) , on June 26 , 1970 and August 2 , 1972 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+To the east and northeast of Scottsdale is the McDowell Mountain Range 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+Scottsdale has four branches within the Scottsdale Public Library System 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+Benzene is also a natural part of crude oil and is therefore present in gasoline 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+A tile is a manufactured piece of hard-wearing material such as ceramic , stone , porcelain , metal or even glass 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+The seal , which shows a mounted cowboy surrounded by a 64-pointed star burst , was designed by Mrs. Gene Brown Pennington 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+The sarabande has been used a lot in movies , including one by Ingmar Bergman called Saraband ( 2003 ) 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+Conan Christopher O'Brien ( born April 18 , 1963 ) is an Emmy Award-winning American television host and comedian , best known as host of NBC 's Late Night with Conan O'Brien 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+The greatest example has been in his present job ( then , Minister for Foreign Affairs ) , where he has perforce concentrated on Anglo-Irish relations and , in particular Northern Ireland ( 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+He thought about returning to medicine , perhaps moving with his wife , Maeve ( also a doctor ) to Africa 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+When President Cearbhall à `` Dà laigh resigned , Hillery agreed to become the Fianna Fà il candidate in the election 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+Dr Patrick John Hillery ( ; 2 May , 1923 -- April 12 , 2008 ) is an Irish Fianna FÃ il politician and the sixth President of Ireland from 1976 until 1990 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+He attended University College Dublin , where he studied medicine 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+Policy in this field is determined primarily between him and the ( ( Taoiseach ; and it is likely that the Fianna FÃ il new line owes much to Dr. Hillery 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+A church was founded in 860 by Ludger Liudger , as well as the first monastery in Westphalia 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+In 1939 the orchestra 's sponsors stopped giving money to the orchestra . The orchestra became a self-governing body , which meant that , like the London Symphony Orchestra , the players organized the orchestra themselves , deciding on their pay , their members , what music they should play 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+In 1964 the LPO became the resident orchestra for Glyndebourne Festival Opera in the summer 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+At one of the orchestra 's early concerts in November 1932 the sixteen-year old Yehudi Menuhin played a program of violin concertos including the concerto by Elgar which the composer himself conducted 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+The orchestra was formed in 1932 by Sir Thomas Beecham , and played its first concert on October 7 1932 at the Queen 's Hall , London 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+The lake is shared by Glades , Okeechobee , Martin , Palm Beach , and Hendry counties 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+In earthquake engineering , vibration control is a set of technical means for decreasing seismic loads and improving seismic performance of building structures 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+The area has a long history going back to the time of Alexander the Great 's invasion ( see Punjab ( Pakistan ) 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+She released her debut album in 2010 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+In 2009 , she performed her song `` Body Language '' on the Miss Universe show in the Bahamas 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+She graduated from high school and after that , attended the Academy of Art University in California 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+Heidi was born on September 15 , 1986 in Colorado 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+Montag started working on her own music album in 2007 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+The calcium-channel blocker , verapamil is useful in the treatment of hypomania and in those cases where lithium and mood stabilizers are contraindicated or ineffective . 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+When the symptoms of mania have gone , long-term treatment then focuses on prophylactic treatment to try to stabilize the patient 's mood . Very often , this is done using a combination of drugs and psychotherapy 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+This negative experience creates an inability to function and an absentmindedness where the manic individual 's thoughts totally preoccupy him or her , making him or her unable to keep track of time or be aware of anything besides the neurological pattern of thoughts 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+The mania in bipolar disorder is usually treated using a combination of mood stabilizers and antipsychotic drugs 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+Nova Bus is a company which makes buses for public transit , and is owned by Volvo 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+The halibut from the Atlantic ocean has been overfished 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+For Your Entertainment is the debut mainstream single by pop singer\/songwriter and runner up of American Idol 's 8th season Adam Lambert 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+It is located in downtown Baltimore , Maryland . The Ravens moved into M&T Bank Stadium in 1998 after spending a year in Memorial Stadium 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+It is 221 meters ( 725 feet ) tall and has 63 floors 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+The song is an unusual Beatles song for many reasons , its length ( nearly eight minutes ) , small number of lyrics ( only fourteen different words are sung ) , three-minute descent through the same repeated guitar chords , and sudden ending 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+`` I Want You ( She 's So Heavy ) '' is a song by The Beatles from their album Abbey Road 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+In humans , a parent is the mother or the father figure of a child 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+Delio Toledo ( born 2 October 1976 ) is a Paraguayan football player 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+Sickle-cell disease occurs more commonly in people ( or their descendants ) from parts of tropical and sub-tropical regions where malaria is or was common 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+He is an analyst for The NFL Today 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+The periodic table of the chemical elements is a list of known atoms ( chemical elements ) 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+Chloride is an ion of chlorine 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+After leaving The Simpsons , Oakley and Weinstein created Mission Hill , The Mullets , and served as consulting producers on Futurama 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+Neotropical Pygmy Squirrel , Sciurillus pusillus , is a very small squirrel species from South America . It is the only living member of the genus Sciurillus and the subfamily Sciurillinae 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+Yvrac is a commune . It is found in the region Aquitaine in the Gironde department in the southwest of France 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+Team based battle royals consist of two or more teams of wrestlers , with the number of wrestlers on each team usually being equal 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+Pneumatics uses air , which is compressible , while hydraulics uses relatively incompressible liquid media such as oil or water 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+Due to this event , it was named as Repulse Bay 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+It is located in the southern part of Hong Kong Island 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+It was written by Crystal Johnson , Mikkel S. Eriksen and Tor Erik Hermansen from the Norwegian production team Stargate and Sandy Vee 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+The Disney version was released on DVD on March 7 , 2006 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+Fox and Troma 's rights to the movie expired in 2004 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+The movie was re-released by Disney on March 7 , 2006 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+Disney 's English language version premiered on October 23 , 2005 ; it then appeared at the 2005 Hollywood Film Festival 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+In 1993 , Fox released the first English-language version of My Neighbor Totoro , produced by John Daly and Derek Gibson ( the producers of The Terminator ) with co-producer Jerry Beck 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+This DVD release is the first version of the movie in the United States to include both Japanese and English language tracks , as Fox did not have the rights to the Japanese audio track for their version 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+Myosotis is a genus of flowering plants in the family Boraginaceae that are commonly called Forget-me-nots 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+Bernd FÃ rster ( born 3 May , 1956 ) is a former German football player 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+This goal was widely shared with Esperanto speakers in the early years of the Esperanto movement . After that , Esperanto speakers began to see the language and the culture that was shared is owned by themselves , even if Esperanto is never chosen by the United Nations or other international organizations 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+The largest is the Universala Kongreso de Esperanto ( Universal Congress of Esperanto ) , held in a different country each year 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+Those Esperanto speakers who want Esperanto to be chosen by organizations or used worldwide are commonly called finvenkistoj , from fina venko , meaning `` final victory '' , or pracelistoj , from pracelo , meaning `` original goal '' 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+At first the language was named `` La Internacia Lingvo , '' which means `` The International Language . 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+After that , Esperanto speakers began to see the language and the culture that was shared is owned by themselves , even if Esperanto is never chosen by the United Nations or other international organizations 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+Crucified Barbara are a Swedish all-female band , formed in Stockholm in 1998 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+The video was recorded and produced by M Industries 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+The single , for the debut album In Distortion We Trust , was ` Losing The Game ' 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+Iran means `` Aryan '' in Persian 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+A Java Virtual Machine ( JVM ) is a set of computer software programs and data structures which use a virtual machine model for the execution of other computer programs and scripts 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+Java Virtual Machines operate on Java bytecode , which is normally ( but not necessarily ) generated from Java source code ; a JVM can also be used to implement programming languages other than Java 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+It lay to the north of the modern North-West Frontier Province of Pakistan until it was dissolved in 1969 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+In a graveyard there is now a statue of the Commendatore 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+He fights Giovanni with a sword and the Commendatore is killed . Donna Anna 's fiancà , Don Ottavio promises Donna Anna that he will find the man who killed her father 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+Giovanni and Leporello arrive and hear her 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+Zerlina tries to tell Masetto she is innocent 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+Giovanni ( dressed as Leporello ) pretends that he , too , wants Giovanni dead and joins the hunt 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+Suddenly Donna Anna appears , chasing Giovanni who is wearing a mask so that she does not know who she is 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+Zerlina arrives and comforts Masetto 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+Elvira , Ottavio and Anna are masked so that people do not recognize them . They are trying to catch Giovanni and prove that he is bad 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+Leporello is not amused , and Don Giovanni just laughs 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+Zerlina and Masetto open the door and catch Leporello 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+Masetto and his friends arrive , looking for Giovanni . Giovanni ( dressed as Leporello ) pretends that he , too , wants Giovanni dead and joins the hunt 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+There is a lot of confusion , and Giovanni gives Zerlina back to Masetto 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+Leporello tells Don Giovanni how he was nearly killed 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+Nuneaton also has a football team called Nuneaton Town 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+Nuneaton is famous for the novelist , George Eliot , who was born on a farm outside Nuneaton in 1819 and lived in Nuneaton during her early life . 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+The subsolar point on a planet is when its sun looks like it is directly overhead ( in zenith ) 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