[fix](sql-functions) add example setup tables to aggregate pages in version-3.x / version-2.1

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/sql-manual/sql-functions/aggregate-functions/bitmap-intersect.md

@@ -1,4 +1,4 @@
 ---
 {
     "title": "BITMAP_INTERSECT",
     "language": "zh-CN",
@@ -9,13 +9,13 @@
 ## 描述
 
 聚合函数，用于计算分组后的 bitmap 交集。常见使用场景如：计算用户留存率。
 
 ## 语法
 
 ```sql
 BITMAP_INTERSECT(BITMAP <value>)
 ```
 
 ## 参数
 
 | 参数 | 说明 |
@@ -28,15 +28,33 @@
 
 ## 举例
 
+```sql
+-- setup
+CREATE TABLE user_tags (
+	tag VARCHAR(20),
+	date DATETIME,
+	user_id BITMAP bitmap_union
+) AGGREGATE KEY(tag, date) DISTRIBUTED BY HASH(tag) BUCKETS 1
+PROPERTIES ("replication_num" = "1");
+INSERT INTO user_tags VALUES
+	('A', '2020-05-18', to_bitmap(1)),
+	('A', '2020-05-18', to_bitmap(2)),
+	('A', '2020-05-19', to_bitmap(2)),
+	('A', '2020-05-19', to_bitmap(3)),
+	('B', '2020-05-18', to_bitmap(4)),
+	('B', '2020-05-19', to_bitmap(4)),
+	('B', '2020-05-19', to_bitmap(5));
+```
+
 表结构
 
 ```
 KeysType: AGG_KEY
 Columns: tag varchar, date datetime, user_id bitmap bitmap_union
 
 ```
 
 ```
 求今天和昨天不同 tag 下的用户留存
 select tag, bitmap_intersect(user_id) from (select tag, date, bitmap_union(user_id) user_id from table where date in ('2020-05-18', '2020-05-19') group by tag, date) a group by tag;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/sql-manual/sql-functions/aggregate-functions/corr.md

@@ -1,4 +1,4 @@
 ---
 {
     "title": "CORR",
     "language": "zh-CN",
@@ -9,7 +9,7 @@
 ## 描述
 
 计算两个随机变量的皮尔逊系数
 
 ## 语法
 
 ```sql
@@ -32,6 +32,27 @@
 
 ## 举例
 
+```sql
+-- setup
+create table test_corr(
+    id int,
+    k1 double,
+    k2 double
+) distributed by hash (id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_corr values 
+    (1, 20, 22),
+    (1, 10, 20),
+    (2, 36, 21),
+    (2, 30, 22),
+    (2, 25, 20),
+    (3, 25, NULL),
+    (4, 25, 21),
+    (4, 25, 22),
+    (4, 25, 20);
+```
+
 ```sql
 select * from test_corr;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/sql-manual/sql-functions/aggregate-functions/count.md

@@ -1,4 +1,4 @@
 ---
 {
     "title": "COUNT",
     "language": "zh-CN",
@@ -11,7 +11,7 @@
 返回指定列的非 NULL 记录数，或者记录总数
 
 ## 语法
 
 ```sql
 COUNT(DISTINCT <expr> [,<expr>,...])
 COUNT(*)
@@ -30,6 +30,39 @@
 
 ## 举例
 
+```sql
+-- setup
+create table test_count(
+    id int,
+    name varchar(20),
+    sex int
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_count values
+    (1, '1', 1),
+    (2, '2', 1),
+    (3, '3', 1),
+    (4, '0', 1),
+    (4, '4', 1),
+    (5, NULL, 1);
+
+create table test_insert(
+    id int,
+    name varchar(20),
+    sex int
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_insert values
+    (1, '1', 1),
+    (2, '2', 1),
+    (3, '3', 1),
+    (4, '0', 1),
+    (4, '4', 1),
+    (5, NULL, 1);
+```
+
 ```sql
 select * from test_count;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/sql-manual/sql-functions/aggregate-functions/covar-samp.md

@@ -1,4 +1,4 @@
 ---
 {
     "title": "COVAR_SAMP",
     "language": "zh-CN",
@@ -31,6 +31,23 @@
 
 ## 举例
 
+```sql
+-- setup
+create table baseall(
+    id int,
+    x double,
+    y double
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into baseall values
+    (1, 1.0, 2.0),
+    (2, 2.0, 3.0),
+    (3, 3.0, 4.0),
+    (4, 4.0, NULL),
+    (5, NULL, 5.0);
+```
+
 ```
 select covar_samp(x,y) from baseall;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/sql-manual/sql-functions/aggregate-functions/covar.md

@@ -35,6 +35,23 @@
 
 ## 举例
 
+```sql
+-- setup
+create table baseall(
+    id int,
+    x double,
+    y double
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into baseall values
+    (1, 1.0, 2.0),
+    (2, 2.0, 3.0),
+    (3, 3.0, 4.0),
+    (4, 4.0, NULL),
+    (5, NULL, 5.0);
+```
+
 ```
 select covar(x,y) from baseall;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/sql-manual/sql-functions/aggregate-functions/group-concat.md

@@ -31,6 +31,20 @@ GROUP_CONCAT([DISTINCT] <str>[, <sep>] [ORDER BY { <col_name> | <expr>} [ASC | D
 
 ## 举例
 
+```sql
+-- setup
+create table test(
+    value varchar(10)
+) distributed by hash(value) buckets 1
+properties ("replication_num"="1");
+
+insert into test values
+    ("a"),
+    ("b"),
+    ("c"),
+    ("c");
+```
+
 ```sql
 select value from test;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/bitmap-intersect.md

@@ -28,15 +28,33 @@
 
 ## 举例
 
+```sql
+-- setup
+CREATE TABLE user_tags (
+	tag VARCHAR(20),
+	date DATETIME,
+	user_id BITMAP bitmap_union
+) AGGREGATE KEY(tag, date) DISTRIBUTED BY HASH(tag) BUCKETS 1
+PROPERTIES ("replication_num" = "1");
+INSERT INTO user_tags VALUES
+	('A', '2020-05-18', to_bitmap(1)),
+	('A', '2020-05-18', to_bitmap(2)),
+	('A', '2020-05-19', to_bitmap(2)),
+	('A', '2020-05-19', to_bitmap(3)),
+	('B', '2020-05-18', to_bitmap(4)),
+	('B', '2020-05-19', to_bitmap(4)),
+	('B', '2020-05-19', to_bitmap(5));
+```
+
 表结构
 
 ```
 KeysType: AGG_KEY
 Columns: tag varchar, date datetime, user_id bitmap bitmap_union
 
 ```
 
 ```
 求今天和昨天不同 tag 下的用户留存
 select tag, bitmap_intersect(user_id) from (select tag, date, bitmap_union(user_id) user_id from table where date in ('2020-05-18', '2020-05-19') group by tag, date) a group by tag;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/corr-welford.md

@@ -8,7 +8,7 @@
 
 ## 描述
 
 采用 [Welford](https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm) 算法计算两个随机变量的皮尔逊系数，能够有效降低计算误差。
 
 ## 语法
 
@@ -32,6 +32,27 @@
 
 ## 举例
 
+```sql
+-- setup
+create table test_corr(
+    id int,
+    k1 double,
+    k2 double
+) distributed by hash (id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_corr values 
+    (1, 20, 22),
+    (1, 10, 20),
+    (2, 36, 21),
+    (2, 30, 22),
+    (2, 25, 20),
+    (3, 25, NULL),
+    (4, 25, 21),
+    (4, 25, 22),
+    (4, 25, 20);
+```
+
 ```sql
 select * from test_corr;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/corr.md

@@ -32,6 +32,27 @@ CORR(<expr1>, <expr2>)
 
 ## 举例
 
+```sql
+-- setup
+create table test_corr(
+    id int,
+    k1 double,
+    k2 double
+) distributed by hash (id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_corr values 
+    (1, 20, 22),
+    (1, 10, 20),
+    (2, 36, 21),
+    (2, 30, 22),
+    (2, 25, 20),
+    (3, 25, NULL),
+    (4, 25, 21),
+    (4, 25, 22),
+    (4, 25, 20);
+```
+
 ```sql
 select * from test_corr;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/count.md

@@ -30,6 +30,39 @@ COUNT(<expr>)
 
 ## 举例
 
+```sql
+-- setup
+create table test_count(
+    id int,
+    name varchar(20),
+    sex int
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_count values
+    (1, '1', 1),
+    (2, '2', 1),
+    (3, '3', 1),
+    (4, '0', 1),
+    (4, '4', 1),
+    (5, NULL, 1);
+
+create table test_insert(
+    id int,
+    name varchar(20),
+    sex int
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into test_insert values
+    (1, '1', 1),
+    (2, '2', 1),
+    (3, '3', 1),
+    (4, '0', 1),
+    (4, '4', 1),
+    (5, NULL, 1);
+```
+
 ```sql
 select * from test_count;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/covar-samp.md

@@ -31,6 +31,23 @@
 
 ## 举例
 
+```sql
+-- setup
+create table baseall(
+    id int,
+    x double,
+    y double
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into baseall values
+    (1, 1.0, 2.0),
+    (2, 2.0, 3.0),
+    (3, 3.0, 4.0),
+    (4, 4.0, NULL),
+    (5, NULL, 5.0);
+```
+
 ```
 select covar_samp(x,y) from baseall;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/covar.md

@@ -35,6 +35,23 @@
 
 ## 举例
 
+```sql
+-- setup
+create table baseall(
+    id int,
+    x double,
+    y double
+) distributed by hash(id) buckets 1
+properties ("replication_num"="1");
+
+insert into baseall values
+    (1, 1.0, 2.0),
+    (2, 2.0, 3.0),
+    (3, 3.0, 4.0),
+    (4, 4.0, NULL),
+    (5, NULL, 5.0);
+```
+
 ```
 select covar(x,y) from baseall;
 ```

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/sql-manual/sql-functions/aggregate-functions/group-concat.md

@@ -31,6 +31,20 @@ GROUP_CONCAT([DISTINCT] <str>[, <sep>] [ORDER BY { <col_name> | <expr>} [ASC | D
 
 ## 举例
 
+```sql
+-- setup
+create table test(
+    value varchar(10)
+) distributed by hash(value) buckets 1
+properties ("replication_num"="1");
+
+insert into test values
+    ("a"),
+    ("b"),
+    ("c"),
+    ("c");
+```
+
 ```sql
 select value from test;
 ```

versioned_docs/version-2.1/sql-manual/sql-functions/aggregate-functions/bitmap-intersect.md

@@ -28,6 +28,24 @@ The data type of the return value is BITMAP.
 
 ## Example
 
+```sql
+-- setup
+CREATE TABLE user_tags (
+	tag VARCHAR(20),
+	date DATETIME,
+	user_id BITMAP bitmap_union
+) AGGREGATE KEY(tag, date) DISTRIBUTED BY HASH(tag) BUCKETS 1
+PROPERTIES ("replication_num" = "1");
+INSERT INTO user_tags VALUES
+	('A', '2020-05-18', to_bitmap(1)),
+	('A', '2020-05-18', to_bitmap(2)),
+	('A', '2020-05-19', to_bitmap(2)),
+	('A', '2020-05-19', to_bitmap(3)),
+	('B', '2020-05-18', to_bitmap(4)),
+	('B', '2020-05-19', to_bitmap(4)),
+	('B', '2020-05-19', to_bitmap(5));
+```
+
 Table schema
 
 ```