SQL GROUP BY 语句

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

演示数据库

在本教程中，我们将使用 ZHISHITU 样本数据库。

下面是选自 "Websites" 表的数据：

+----+--------------+---------------------------+-------+---------+
| id | name         | url                       | alexa | country |
+----+--------------+---------------------------+-------+---------+
| 1  | Google       | https://www.google.cm/    | 1     | USA     |
| 2  | 淘宝          | https://www.taobao.com/   | 13    | CN      |
| 3       | http://www.zhishitu.com/    | 4689  | CN      |
| 4  | 微博          | http://weibo.com/         | 20    | CN      |
| 5  | Facebook     | https://www.facebook.com/ | 3     | USA     |
| 7  | stackoverflow | http://stackoverflow.com/ |   0 | IND     |
+----+---------------+---------------------------+-------+---------+

下面是 "access_log" 网站访问记录表的数据：

mysql> SELECT * FROM access_log;
+-----+---------+-------+------------+
| aid | site_id | count | date       |
+-----+---------+-------+------------+
|   1 |       1 |    45 | 2016-05-10 |
|   2 |       3 |   100 | 2016-05-13 |
|   3 |       1 |   230 | 2016-05-14 |
|   4 |       2 |    10 | 2016-05-14 |
|   5 |       5 |   205 | 2016-05-14 |
|   6 |       4 |    13 | 2016-05-15 |
|   7 |       3 |   220 | 2016-05-15 |
|   8 |       5 |   545 | 2016-05-16 |
|   9 |       3 |   201 | 2016-05-17 |
+-----+---------+-------+------------+
9 rows in set (0.00 sec)

GROUP BY 简单应用

统计 access_log 各个 site_id 的访问量：

实例

	SELECT site_id, SUM(access_log.count) AS 
	nums
 FROM access_log GROUP BY site_id;

执行以上 SQL 输出结果如下：

SQL GROUP BY 多表连接

下面的 SQL 语句统计有记录的网站的记录数量：

实例

	SELECT Websites.name,COUNT(access_log.aid) AS nums FROM 
	access_log
LEFT JOIN Websites
ON access_log.site_id=Websites.id

	GROUP BY Websites.name;

执行以上 SQL 输出结果如下：