fuzzy query support string type (#1070)

Author: leto-b

src/UserGuide/Master/Tree/Basic-Concept/Query-Data_apache.md

@@ -542,7 +542,7 @@ An example is as follows:
 
 ### 3.3 Fuzzy Query
 
-Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type data.
+Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type and STRING type data.
 
 Like statement:
 

src/UserGuide/Master/Tree/Basic-Concept/Query-Data_timecho.md

@@ -541,7 +541,7 @@ An example is as follows:
 
 ### 3.3 Fuzzy Query
 
-Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type data.
+Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type and STRING type data.
 
 Like statement:
 

src/UserGuide/V1.3.x/Basic-Concept/Query-Data.md

@@ -532,7 +532,7 @@ An example is as follows:
 
 ### Fuzzy Query
 
-Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type data.
+Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type and STRING type data.
 
 Like statement:
 

src/UserGuide/dev-1.3/Basic-Concept/Query-Data.md

@@ -532,7 +532,7 @@ An example is as follows:
 
 ### Fuzzy Query
 
-Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type data.
+Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type and STRING type data.
 
 Like statement:
 

src/UserGuide/latest/Basic-Concept/Query-Data_apache.md

@@ -542,7 +542,7 @@ An example is as follows:
 
 ### 3.3 Fuzzy Query
 
-Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type data.
+Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type and STRING type data.
 
 Like statement:
 

src/UserGuide/latest/Basic-Concept/Query-Data_timecho.md

@@ -541,7 +541,7 @@ An example is as follows:
 
 ### 3.3 Fuzzy Query
 
-Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type data.
+Fuzzy query is divided into Like statement and Regexp statement, both of which can support fuzzy matching of TEXT type and STRING type data.
 
 Like statement:
 

src/zh/UserGuide/Master/Tree/Basic-Concept/Query-Data_apache.md

@@ -792,7 +792,7 @@ It costs 0.021s
 
 ### 3.3 模糊查询
 
-对于 TEXT 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
+对于 TEXT 和 STRING 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
 
 #### 使用 `Like` 进行模糊匹配 
 

src/zh/UserGuide/Master/Tree/Basic-Concept/Query-Data_timecho.md

@@ -792,7 +792,7 @@ It costs 0.021s
 
 ### 3.3 模糊查询
 
-对于 TEXT 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
+对于 TEXT 和 STRING 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
 
 #### 使用 `Like` 进行模糊匹配 
 

src/zh/UserGuide/V1.3.x/Basic-Concept/Query-Data.md

@@ -782,7 +782,7 @@ It costs 0.021s
 
 ### 模糊查询
 
-对于 TEXT 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
+对于 TEXT 和 STRING 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
 
 #### 使用 `Like` 进行模糊匹配 
 

src/zh/UserGuide/dev-1.3/Basic-Concept/Query-Data.md

@@ -782,7 +782,7 @@ It costs 0.021s
 
 ### 模糊查询
 
-对于 TEXT 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
+对于 TEXT 和 STRING 类型的数据，支持使用 `Like` 和 `Regexp` 运算符对数据进行模糊匹配
 
 #### 使用 `Like` 进行模糊匹配