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MySQL MAX函数用于在记录集中找出最大值的记录。
创建 employee_tbl 表,表中的数据如下
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 |
| 4 | Jill | 2007-04-06 | 220 |
| 5 | Zara | 2007-06-06 | 300 |
| 5 | Zara | 2007-02-06 | 350 |
+------+------+------------+--------------------+
7 rows in set (0.00 sec)
现在,根据上表,假设您想获取 daily_typing_pages 的最大值,那么您只需使用以下命令即可
mysql> SELECT MAX(daily_typing_pages)
-> FROM employee_tbl;
结果如下:
+-------------------------+
| MAX(daily_typing_pages) |
+-------------------------+
| 350 |
+-------------------------+
1 row in set (0.00 sec)
您可以使用GROUP BY子句找到每个名称的最大值的所有记录,如下所示
mysql> SELECT id, name, MAX(daily_typing_pages)
-> FROM employee_tbl GROUP BY name;
结果如下
+------+------+-------------------------+
| id | name | MAX(daily_typing_pages) |
+------+------+-------------------------+
| 3 | Jack | 170 |
| 4 | Jill | 220 |
| 1 | John | 250 |
| 2 | Ram | 220 |
| 5 | Zara | 350 |
+------+------+-------------------------+
5 rows in set (0.00 sec)
同样我们也可以使用MIN函数和MAX()分别找出最小值和最大值。试试下面的例子
mysql> SELECT MIN(daily_typing_pages) least, MAX(daily_typing_pages) max
-> FROM employee_tbl;
结果如下
+-------+------+
| least | max |
+-------+------+
| 100 | 350 |
+-------+------+
1 row in set (0.01 sec)