HAVING 子句可以让我们筛选分组后的各组数据。
WHERE 子句在所选列上设置条件,而 HAVING 子句则在由 GROUP BY 子句创建的分组上设置条件。

语法

下面是 HAVING 子句在 SELECT 查询中的位置:

  1. SELECT
  2. FROM
  3. WHERE
  4. GROUP BY
  5. HAVING
  6. ORDER BY

HAVING 子句必须放置于 GROUP BY 子句后面,ORDER BY 子句前面,下面是 HAVING 子句在 SELECT 语句中基础语法:

  1. SELECT column1, column2
  2. FROM table1, table2
  3. WHERE [ conditions ]
  4. GROUP BY column1, column2
  5. HAVING [ conditions ]
  6. ORDER BY column1, column2

实例

创建 COMPANY 表(下载 COMPANY SQL 文件 ),数据内容如下:

  1. runoobdb# select * from COMPANY;
  2. id | name | age | address | salary
  3. ----+-------+-----+-----------+--------
  4. 1 | Paul | 32 | California| 20000
  5. 2 | Allen | 25 | Texas | 15000
  6. 3 | Teddy | 23 | Norway | 20000
  7. 4 | Mark | 25 | Rich-Mond | 65000
  8. 5 | David | 27 | Texas | 85000
  9. 6 | Kim | 22 | South-Hall| 45000
  10. 7 | James | 24 | Houston | 10000
  11. (7 rows)

下面实例将找出根据 NAME 字段值进行分组,并且 name(名称) 字段的计数少于 2 数据:

  1. SELECT NAME FROM COMPANY GROUP BY name HAVING count(name) < 2;

得到以下结果:

  1. name
  2. -------
  3. Teddy
  4. Paul
  5. Mark
  6. David
  7. Allen
  8. Kim
  9. James
  10. (7 rows)

我们往表里添加几条数据:

  1. INSERT INTO COMPANY VALUES (8, 'Paul', 24, 'Houston', 20000.00);
  2. INSERT INTO COMPANY VALUES (9, 'James', 44, 'Norway', 5000.00);
  3. INSERT INTO COMPANY VALUES (10, 'James', 45, 'Texas', 5000.00);

此时,COMPANY 表的记录如下:

  1. id | name | age | address | salary
  2. ----+-------+-----+--------------+--------
  3. 1 | Paul | 32 | California | 20000
  4. 2 | Allen | 25 | Texas | 15000
  5. 3 | Teddy | 23 | Norway | 20000
  6. 4 | Mark | 25 | Rich-Mond | 65000
  7. 5 | David | 27 | Texas | 85000
  8. 6 | Kim | 22 | South-Hall | 45000
  9. 7 | James | 24 | Houston | 10000
  10. 8 | Paul | 24 | Houston | 20000
  11. 9 | James | 44 | Norway | 5000
  12. 10 | James | 45 | Texas | 5000
  13. (10 rows)

下面实例将找出根据 name 字段值进行分组,并且名称的计数大于 1 数据:

  1. runoobdb-# SELECT NAME FROM COMPANY GROUP BY name HAVING count(name) > 1;

得到结果如下:

  1. name
  2. -------
  3. Paul
  4. James
  5. (2 rows)