MySQL GROUP BY 语句

GROUP BY 语句根据一个或多个列对结果集进行分组。

在分组的列上我们可以使用 COUNT, SUM, AVG,等函数。

GROUP BY 语法

SELECT column_name,function(column_name)
FROM table_name
WHERE column_name operator value
GROUP BY column_name;

实例演示

本章节实例使用到了以下表结构及数据,使用前我们可以先将以下数据导入数据库中。

MariaDB [RUNOOB]> SET NAMES utf8;
Query OK, 0 rows affected (0.00 sec)

MariaDB [RUNOOB]> SET FOREIGN_KEY_CHECKS = 0;
Query OK, 0 rows affected (0.00 sec)

MariaDB [RUNOOB]> DROP TABLE IF EXISTS `employee_tbl`;
Query OK, 0 rows affected, 1 warning (0.00 sec)

MariaDB [RUNOOB]> CREATE TABLE `employee_tbl` (
    ->   `id` int(11) NOT NULL,
    ->   `name` char(10) NOT NULL DEFAULT '',
    ->   `date` datetime NOT NULL,
    ->   `singin` tinyint(4) NOT NULL DEFAULT '0' COMMENT '登录次数',
    ->   PRIMARY KEY (`id`)
    -> ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
Query OK, 0 rows affected (0.04 sec)

MariaDB [RUNOOB]> BEGIN;
Query OK, 0 rows affected (0.00 sec)

MariaDB [RUNOOB]> INSERT INTO employee_tbl VALUES ('1', 'aa', '2016-04-22 15:25:33', '1'), ('2', 'bb', '2016-04-20 15:25:47', '3'), ('3', 'cc', '2016-04-19 15:26:02', '2'), ('4', 'bb', '2016-04-07 15:26:14', '4'), ('5', 'aa', '2016-04-11 15:26:40', '4'), ('6', 'aa', '2016-04-04 15:26:54', '2');
Query OK, 6 rows affected, 6 warnings (0.00 sec)
Records: 6  Duplicates: 0  Warnings: 6

MariaDB [RUNOOB]> COMMIT;
Query OK, 0 rows affected (0.00 sec)

MariaDB [RUNOOB]> SET FOREIGN_KEY_CHECKS = 1;
Query OK, 0 rows affected (0.00 sec)

导入成功后,执行以下 SQL 语句:

MariaDB [RUNOOB]> select * from employee_tbl;
+----+------+---------------------+--------+
| id | name | date                | singin |
+----+------+---------------------+--------+
|  1 | aa   | 2016-04-22 15:25:33 |      1 |
|  2 | bb   | 2016-04-20 15:25:47 |      3 |
|  3 | cc   | 2016-04-19 15:26:02 |      2 |
|  4 | bb   | 2016-04-07 15:26:14 |      4 |
|  5 | aa   | 2016-04-11 15:26:40 |      4 |
|  6 | aa   | 2016-04-04 15:26:54 |      2 |
+----+------+---------------------+--------+
6 rows in set (0.00 sec)

接下来我们使用 GROUP BY 语句 将数据表按名字进行分组,并统计每个人有多少条记录:

MariaDB [RUNOOB]> SELECT name, COUNT(*) FROM   employee_tbl GROUP BY name;
+------+----------+
| name | COUNT(*) |
+------+----------+
| aa   |        3 |
| bb   |        2 |
| cc   |        1 |
+------+----------+
3 rows in set (0.00 sec)

使用 WITH ROLLUP

WITH ROLLUP 可以实现在分组统计数据基础上再进行相同的统计(SUM,AVG,COUNT…)。

例如我们将以上的数据表按名字进行分组,再统计每个人登录的次数:

MariaDB [RUNOOB]> SELECT name, SUM(singin) as singin_count FROM  employee_tbl GROUP BY name WITH ROLLUP;
+------+--------------+
| name | singin_count |
+------+--------------+
| aa   |            7 |
| bb   |            7 |
| cc   |            2 |
| NULL |           16 |
+------+--------------+
4 rows in set (0.00 sec)

其中记录 NULL 表示所有人的登录次数。

我们可以使用 coalesce 来设置一个可以取代 NUll 的名称,coalesce 语法:

select coalesce(a,b,c);

参数说明:

如果a!=null,则选择a;

如果a==null,则选择b;

如果b==null,则选择c;

如果a b c 都为null ,则返回为null(没意义)。

以下实例中如果名字为空我们使用总数代替:

MariaDB [RUNOOB]> SELECT coalesce(name, '总数'), SUM(singin) as singin_count FROM  employee_tbl GROUP BY name WITH ROLLUP;
+------------------------+--------------+
| coalesce(name, '总数')     | singin_count |
+------------------------+--------------+
| aa                     |            7 |
| bb                     |            7 |
| cc                     |            2 |
| 总数                    |           16 |
+------------------------+--------------+
4 rows in set (0.00 sec)

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转载自cakin24.iteye.com/blog/2343571