GROUP BY子句
您可以使用GROUP BY对列中的值进行分组,并且,如果需要,可以对该列执行计算。您可以在分组列上使用COUNT,SUM,AVG等函数。要了解GROUP BY子句,请考虑一个employee_tbl表,该表具有以下记录-
mysql> SELECT * FROM employee_tbl;
+------+------+------------+--------------------+
| id | name | work_date | daily_typing_pages |
+------+------+------------+--------------------+
| 1 | John | 2007-01-24 | 250 |
| 2 | Ram | 2007-05-27 | 220 |
| 3 | Jack | 2007-05-06 | 170 |
| 3 | Jack | 2007-04-06 | 100 |
| 5 | Jill | 2007-04-06 | 220 |
| 6 | Zara | 2007-06-06 | 300 |
| 6 | Zara | 2007-02-06 | 350 |
+------+------+------------+--------------------+
7 rows in set (0.00 sec)
现在,假设根据上表我们要计算每个员工工作的天数。如果我们将编写如下的SQL查询,那么将得到以下结果:
mysql> SELECT COUNT(*) FROM employee_tbl;
+---------------------------+
| COUNT(*) |
+---------------------------+
| 7 |
+---------------------------+
但这没有达到我们的目的,我们希望显示每个人分别键入的页面总数。这是通过将聚合函数与GROUP BY子句结合使用来完成的,如下所示:
SELECT name, COUNT(*)
-> FROM employee_tbl
-> GROUP BY name;
+------+----------+
| name | COUNT(*) |
+------+----------+
| Jack | 2 |
| Jill | 1 |
| John | 1 |
| Ram | 1 |
| Zara | 2 |
+------+----------+
5 rows in set (0.04 sec)
或者在用户id上分组
SELECT id,name, COUNT(*)
-> FROM employee_tbl
-> GROUP BY id;
+------+------+----------+
| id | name | COUNT(*) |
+------+------+----------+
| 3 | Jack | 2 |
| 5 | Jill | 1 |
| 1 | John | 1 |
| 2 | Ram | 1 |
| 6 | Zara | 2 |
+------+------+----------+
5 rows in set (0.04 sec)
我们将在SUM,AVG等其他函数中看到更多与GROUP BY相关的功能。