WHERE 無法搭配彙總函數使用,HAVING 專門用於對 GROUP BY 分組後的統計結果進行篩選。
SELECT column_name, aggregate_function(column_name) FROM table_name WHERE column_name operator value GROUP BY column_name HAVING aggregate_function(column_name) operator value;
+----+--------------+---------------------------+-------+---------+ | id | name | url | alexa | country | +----+--------------+---------------------------+-------+---------+ | 1 | Google | https://www.google.cm/ | 1 | USA | | 2 | 淘寶 | https://www.taobao.com/ | 13 | CN | | 3 | 菜鳥教程 | https://www.runoob.com/ | 4689 | CN | | 4 | 微博 | https://weibo.com/ | 20 | CN | | 5 | Facebook | https://www.facebook.com/ | 3 | USA | | 7 | stackoverflow| https://stackoverflow.com/ | 0 | IND | +----+--------------+---------------------------+-------+---------+
+-----+---------+-------+------------+ | 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 | +-----+---------+-------+------------+
SELECT Websites.name, Websites.url, SUM(access_log.count) AS nums FROM access_log INNER JOIN Websites ON access_log.site_id = Websites.id GROUP BY Websites.name HAVING SUM(access_log.count) > 200;
SELECT Websites.name, SUM(access_log.count) AS nums FROM Websites INNER JOIN access_log ON Websites.id = access_log.site_id WHERE Websites.alexa < 200 GROUP BY Websites.name HAVING SUM(access_log.count) > 200;