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AVG函數(shù)用于找出表中記錄在某字段處的平均值。
要理解 AVG 函數(shù),請(qǐng)考慮 employee_tbl 表,表中記錄如下所示:
SQL> 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)
現(xiàn)在,假設(shè)你想要獲取 daily_typing_pages 的平均值,那么你可以用如下命令來(lái)達(dá)到目的:
SQL> SELECT AVG(daily_typing_pages)
-> FROM employee_tbl;
+-------------------------+
| AVG(daily_typing_pages) |
+-------------------------+
| 230.0000 |
+-------------------------+
1 row in set (0.03 sec)
你還可以使用 GROUP BY 子句來(lái)計(jì)算不同記錄分組的平均值。下面的例子將會(huì)計(jì)算得出每個(gè)人平均值,你將能夠得到平均每個(gè)人每天打的頁(yè)數(shù)。
SQL> SELECT name, AVG(daily_typing_pages)
-> FROM employee_tbl GROUP BY name;
+------+-------------------------+
| name | AVG(daily_typing_pages) |
+------+-------------------------+
| Jack | 135.0000 |
| Jill | 220.0000 |
| John | 250.0000 |
| Ram | 220.0000 |
| Zara | 325.0000 |
+------+-------------------------+
5 rows in set (0.20 sec)
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