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：
SELECTFROMWHEREGROUP BYHAVINGORDER 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：
SELECT column1, column2FROM table1, table2WHERE [ conditions ]GROUP BY column1, column2HAVING [ conditions ]ORDER BY column1, column2
实例
创建 COMPANY 表（下载 COMPANY SQL 文件 ），数据内容如下：
runoobdb# select * from COMPANY; id | name | age | address | salary----+-------+-----+-----------+-------- 1 | Paul | 32 | California| 20000 2 | Allen | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall| 45000 7 | James | 24 | Houston | 10000(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：
SELECT NAME FROM COMPANY GROUP BY name HAVING count(name) < 2;
得到以下结果：
name ------- Teddy Paul Mark David Allen Kim James(7 rows)
我们往表里添加几条数据：
INSERT INTO COMPANY VALUES (8, 'Paul', 24, 'Houston', 20000.00);INSERT INTO COMPANY VALUES (9, 'James', 44, 'Norway', 5000.00);INSERT INTO COMPANY VALUES (10, 'James', 45, 'Texas', 5000.00);
此时，COMPANY 表的记录如下：
id | name | age | address | salary ----+-------+-----+--------------+-------- 1 | Paul | 32 | California | 20000 2 | Allen | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall | 45000 7 | James | 24 | Houston | 10000 8 | Paul | 24 | Houston | 20000 9 | James | 44 | Norway | 5000 10 | James | 45 | Texas | 5000(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：
runoobdb-# SELECT NAME FROM COMPANY GROUP BY name HAVING count(name) > 1;
得到结果如下：
name------- Paul James(2 rows)