SQL GROUP BY Statement
The GROUP BY statement can be used in conjunction with some aggregate functions.
GROUP BY Statement
The GROUP BY statement is used with aggregate functions to group the result set by one or more columns.
SQL GROUP BY Syntax
Demonstration Database
In this tutorial, we will use the tutorialpro sample database.
Below is the data from the "Websites" table:
+----+--------------+---------------------------+-------+---------+
| id | name | url | alexa | country |
+----+--------------+---------------------------+-------+---------+
| 1 | Google | https://www.google.cm/ | 1 | USA |
| 2 | Taobao | https://www.taobao.com/ | 13 | CN |
| 3 | tutorialpro.org | http://www.tutorialpro.org/ | 4689 | CN |
| 4 | Weibo | http://weibo.com/ | 20 | CN |
| 5 | Facebook | https://www.facebook.com/ | 3 | USA |
| 7 | stackoverflow | http://stackoverflow.com/ | 0 | IND |
+----+---------------+---------------------------+-------+---------+
Below is the data from the "access_log" website access log table:
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)
Simple Application of GROUP BY
Count the access count for each site_id in the access_log:
Example
Executing the above SQL outputs the following results:
SQL GROUP BY Multi-Table Join
The following SQL statement counts the number of records for websites that have records:
Example
Executing the above SQL outputs the following results: