图解 SQL 里的各种 JOIN,看完不懂来找我!
2019-08-26 05:47:16来源:编程学习网 阅读 ()
前言
在各种问答社区里谈及 SQL 里的各种 JOIN 之间的区别时,最被广为引用的是 CodeProject 上 C.L. Moffatt 的文章 Visual Representation of SQL Joins,他确实讲得简单明了,使用文氏图来帮助理解,效果明显。本文将沿用他的讲解方式,稍有演绎,可以视为该文较为粗糙的中译版。约定
下文将使用两个数据库表 Table_A 和 Table_B 来进行示例讲解,其结构与数据分别如下:mysql> SELECT * FROM Table_A ORDER BY PK ASC; +----+---------+ | PK | Value | +----+---------+ | 1 | both ab | | 2 | only a | +----+---------+ 2 rows in set (0.00 sec) mysql> SELECT * from Table_B ORDER BY PK ASC; +----+---------+ | PK | Value | +----+---------+ | 1 | both ab | | 3 | only b | +----+---------+ 2 rows in set (0.00 sec)其中 PK 为 1 的记录在 Table_A 和 Table_B 中都有,2 为 Table_A 特有,3 为 Table_B 特有。
常用的 JOIN
INNER JOIN
INNER JOIN 一般被译作内连接。内连接查询能将左表(表 A)和右表(表 B)中能关联起来的数据连接后返回。文氏图:
INNER JOIN
示例查询
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A INNER JOIN Table_B B ON A.PK = B.PK;查询结果:
+------+------+---------+---------+ | A_PK | B_PK | A_Value | B_Value | +------+------+---------+---------+ | 1 | 1 | both ab | both ab | +------+------+---------+---------+ 1 row in set (0.00 sec)注:其中 A 为 Table_A 的别名,B 为 Table_B 的别名,下同。
LEFT JOIN
LEFT JOIN 一般被译作左连接,也写作 LEFT OUTER JOIN。左连接查询会返回左表(表 A)中所有记录,不管右表(表 B)中有没有关联的数据。在右表中找到的关联数据列也会被一起返回。
文氏图:
LEFT JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A LEFT JOIN Table_B B ON A.PK = B.PK;查询结果:
+------+------+---------+---------+ | A_PK | B_PK | A_Value | B_Value | +------+------+---------+---------+ | 1 | 1 | both ab | both ba | | 2 | NULL | only a | NULL | +------+------+---------+---------+ 2 rows in set (0.00 sec)
RIGHT JOIN
RIGHT JOIN 一般被译作右连接,也写作 RIGHT OUTER JOIN。右连接查询会返回右表(表 B)中所有记录,不管左表(表 A)中有没有关联的数据。在左表中找到的关联数据列也会被一起返回。
文氏图:
RIGHT JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A RIGHT JOIN Table_B B ON A.PK = B.PK;查询结果:
+------+------+---------+---------+ | A_PK | B_PK | A_Value | B_Value | +------+------+---------+---------+ | 1 | 1 | both ab | both ba | | NULL | 3 | NULL | only b | +------+------+---------+---------+ 2 rows in set (0.00 sec)
FULL OUTER JOIN
FULL OUTER JOIN 一般被译作外连接、全连接,实际查询语句中可以写作 FULL OUTER JOIN 或 FULL JOIN。外连接查询能返回左右表里的所有记录,其中左右表里能关联起来的记录被连接后返回。
文氏图:
FULL OUTER JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A FULL OUTER JOIN Table_B B ON A.PK = B.PK;查询结果:
ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'FULL OUTER JOIN Table_B B ON A.PK = B.PK' at line 4注:我当前示例使用的 MySQL 不支持 FULL OUTER JOIN。应当返回的结果(使用 UNION 模拟):
mysql> SELECT * -> FROM Table_A -> LEFT JOIN Table_B -> ON Table_A.PK = Table_B.PK -> UNION ALL -> SELECT * -> FROM Table_A -> RIGHT JOIN Table_B -> ON Table_A.PK = Table_B.PK -> WHERE Table_A.PK IS NULL; +------+---------+------+---------+ | PK | Value | PK | Value | +------+---------+------+---------+ | 1 | both ab | 1 | both ba | | 2 | only a | NULL | NULL | | NULL | NULL | 3 | only b | +------+---------+------+---------+ 3 rows in set (0.00 sec)
小结
以上四种,就是 SQL 里常见 JOIN 的种类和概念了,看一下它们的合影:
小结有没有感觉少了些什么,学数学集合时完全不止这几种情况?确实如此,继续看。
延伸用法
LEFT JOIN EXCLUDING INNER JOIN
返回左表有但右表没有关联数据的记录集。
文氏图:
LEFT JOIN EXCLUDING INNER JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A LEFT JOIN Table_B B ON A.PK = B.PK WHERE B.PK IS NULL;查询结果:
+------+------+---------+---------+ | A_PK | B_PK | A_Value | B_Value | +------+------+---------+---------+ | 2 | NULL | only a | NULL | +------+------+---------+---------+ 1 row in set (0.01 sec)
RIGHT JOIN EXCLUDING INNER JOIN
返回右表有但左表没有关联数据的记录集。
文氏图:
RIGHT JOIN EXCLUDING INNER JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A RIGHT JOIN Table_B B ON A.PK = B.PK WHERE A.PK IS NULL;查询结果:
+------+------+---------+---------+ | A_PK | B_PK | A_Value | B_Value | +------+------+---------+---------+ | NULL | 3 | NULL | only b | +------+------+---------+---------+ 1 row in set (0.00 sec)
FULL OUTER JOIN EXCLUDING INNER JOIN
返回左表和右表里没有相互关联的记录集。
文氏图:
FULL OUTER JOIN EXCLUDING INNER JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A FULL OUTER JOIN Table_B B ON A.PK = B.PK WHERE A.PK IS NULL OR B.PK IS NULL;因为使用到了 FULL OUTER JOIN,MySQL 在执行该查询时再次报错。
ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'FULL OUTER JOIN Table_B B ON A.PK = B.PK WHERE A.PK IS NULL OR B.PK IS NULL' at line 4应当返回的结果(用 UNION 模拟):
mysql> SELECT * -> FROM Table_A -> LEFT JOIN Table_B -> ON Table_A.PK = Table_B.PK -> WHERE Table_B.PK IS NULL -> UNION ALL -> SELECT * -> FROM Table_A -> RIGHT JOIN Table_B -> ON Table_A.PK = Table_B.PK -> WHERE Table_A.PK IS NULL; +------+--------+------+--------+ | PK | Value | PK | Value | +------+--------+------+--------+ | 2 | only a | NULL | NULL | | NULL | NULL | 3 | only b | +------+--------+------+--------+ 2 rows in set (0.00 sec)
总结
以上七种用法基本上可以覆盖各种 JOIN 查询了。七种用法的全家福:
SQL JOINS看着它们,我仿佛回到了当年学数学,求交集并集的时代……顺带张贴一下 C.L. Moffatt 带 SQL 语句
的图片,配合学习,风味更佳:
SQL JOINS
更新:更多的 JOIN
除以上几种外,还有更多的 JOIN 用法,比如 CROSS JOIN(迪卡尔集)、SELF JOIN,可以参考 SQL JOINS Slide Presentation 学习。CROSS JOIN
返回左表与右表之间符合条件的记录的迪卡尔集。
图示:
CORSS JOIN
示例查询:
SELECT A.PK AS A_PK, B.PK AS B_PK, A.Value AS A_Value, B.Value AS B_Value FROM Table_A A CROSS JOIN Table_B B;查询结果:
+------+------+---------+---------+ | A_PK | B_PK | A_Value | B_Value | +------+------+---------+---------+ | 1 | 1 | both ab | both ba | | 2 | 1 | only a | both ba | | 1 | 3 | both ab | only b | | 2 | 3 | only a | only b | +------+------+---------+---------+ 4 rows in set (0.00 sec)上面讲过的几种 JOIN 查询的结果都可以用 CROSS JOIN 加条件模拟出来,比如 INNER JOIN 对应 CROSS JOIN ... WHERE A.PK = B.PK。
SELF JOIN
返回表与自己连接后符合条件的记录,一般用在表里有一个字段是用主键作为外键的情况。比如 Table_C 的结构与数据如下:+--------+----------+-------------+ | EMP_ID | EMP_NAME | EMP_SUPV_ID | +--------+----------+-------------+ | 1001 | Ma | NULL | | 1002 | Zhuang | 1001 | +--------+----------+-------------+ 2 rows in set (0.00 sec)EMP_ID 字段表示员工 ID,EMP_NAME 字段表示员工姓名,EMP_SUPV_ID 表示主管 ID。示例查询:现在我们想查询所有有主管的员工及其对应的主管 ID 和姓名,就可以用 SELF JOIN 来实现。
SELECT A.EMP_ID AS EMP_ID, A.EMP_NAME AS EMP_NAME, B.EMP_ID AS EMP_SUPV_ID, B.EMP_NAME AS EMP_SUPV_NAME FROM Table_C A, Table_C B WHERE A.EMP_SUPV_ID = B.EMP_ID;查询结果:
+--------+----------+-------------+---------------+ | EMP_ID | EMP_NAME | EMP_SUPV_ID | EMP_SUPV_NAME | +--------+----------+-------------+---------------+ | 1002 | Zhuang | 1001 | Ma | +--------+----------+-------------+---------------+ 1 row in set (0.00 sec)
补充说明
-
文中的图使用 Keynote 绘制;
-
个人的体会是 SQL 里的 JOIN 查询与数学里的求交集、并集等很像;
-
SQLite 不支持 RIGHT JOIN 和 FULL OUTER JOIN,可以使用 LEFT JOIN 和 UNION 来达到相同的效果;
-
MySQL 不支持 FULL OUTER JOIN,可以使用 LEFT JOIN 和 UNION 来达到相同的效果;
原文链接:http://www.phpxs.com/post/6494/
如有疑问请与原作者联系
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