JOIN的意思就如英文單字「join」一樣,連接兩張表,大致分為內連接,外連接,右連接,左連接,自然連接。
先建立兩個表,以下用於範例
CREATE TABLE t_blog( id INT PRIMARY KEY AUTO_INCREMENT, title VARCHAR(50), typeId INT ); SELECT * FROM t_blog; +----+-------+--------+ | id | title | typeId | +----+-------+--------+ | 1 | aaa | 1 | | 2 | bbb | 2 | | 3 | ccc | 3 | | 4 | ddd | 4 | | 5 | eee | 4 | | 6 | fff | 3 | | 7 | ggg | 2 | | 8 | hhh | NULL | | 9 | iii | NULL | | 10 | jjj | NULL | +----+-------+--------+ -- 博客的类别 CREATE TABLE t_type( id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(20) ); SELECT * FROM t_type; +----+------------+ | id | name | +----+------------+ | 1 | C++ | | 2 | C | | 3 | Java | | 4 | C# | | 5 | Javascript | +----+------------+
要理解各種JOIN首先要理解笛卡兒積。笛卡爾積是將A表中的每個記錄與B表中的每個記錄組合。因此,當A表中有n筆記錄且B表中有m筆記錄時,笛卡爾積操作所得到的結果將會有n*m筆記錄。下面的例子,t_blog有10筆記錄,t_type有5筆記錄,所有他們兩個的笛卡爾積有50筆記錄。有五種產生笛卡兒積的方式如下。
SELECT * FROM t_blog CROSS JOIN t_type; SELECT * FROM t_blog INNER JOIN t_type; SELECT * FROM t_blog,t_type; SELECT * FROM t_blog NATURE JOIN t_type; select * from t_blog NATURA join t_type; +----+-------+--------+----+------------+ | id | title | typeId | id | name | +----+-------+--------+----+------------+ | 1 | aaa | 1 | 1 | C++ | | 1 | aaa | 1 | 2 | C | | 1 | aaa | 1 | 3 | Java | | 1 | aaa | 1 | 4 | C# | | 1 | aaa | 1 | 5 | Javascript | | 2 | bbb | 2 | 1 | C++ | | 2 | bbb | 2 | 2 | C | | 2 | bbb | 2 | 3 | Java | | 2 | bbb | 2 | 4 | C# | | 2 | bbb | 2 | 5 | Javascript | | 3 | ccc | 3 | 1 | C++ | | 3 | ccc | 3 | 2 | C | | 3 | ccc | 3 | 3 | Java | | 3 | ccc | 3 | 4 | C# | | 3 | ccc | 3 | 5 | Javascript | | 4 | ddd | 4 | 1 | C++ | | 4 | ddd | 4 | 2 | C | | 4 | ddd | 4 | 3 | Java | | 4 | ddd | 4 | 4 | C# | | 4 | ddd | 4 | 5 | Javascript | | 5 | eee | 4 | 1 | C++ | | 5 | eee | 4 | 2 | C | | 5 | eee | 4 | 3 | Java | | 5 | eee | 4 | 4 | C# | | 5 | eee | 4 | 5 | Javascript | | 6 | fff | 3 | 1 | C++ | | 6 | fff | 3 | 2 | C | | 6 | fff | 3 | 3 | Java | | 6 | fff | 3 | 4 | C# | | 6 | fff | 3 | 5 | Javascript | | 7 | ggg | 2 | 1 | C++ | | 7 | ggg | 2 | 2 | C | | 7 | ggg | 2 | 3 | Java | | 7 | ggg | 2 | 4 | C# | | 7 | ggg | 2 | 5 | Javascript | | 8 | hhh | NULL | 1 | C++ | | 8 | hhh | NULL | 2 | C | | 8 | hhh | NULL | 3 | Java | | 8 | hhh | NULL | 4 | C# | | 8 | hhh | NULL | 5 | Javascript | | 9 | iii | NULL | 1 | C++ | | 9 | iii | NULL | 2 | C | | 9 | iii | NULL | 3 | Java | | 9 | iii | NULL | 4 | C# | | 9 | iii | NULL | 5 | Javascript | | 10 | jjj | NULL | 1 | C++ | | 10 | jjj | NULL | 2 | C | | 10 | jjj | NULL | 3 | Java | | 10 | jjj | NULL | 4 | C# | | 10 | jjj | NULL | 5 | Javascript | +----+-------+--------+----+------------+
內連接INNER JOIN是最常用的連接操作。從數學的角度來說,這就是要計算兩個表的相交部分;而從笛卡兒積的角度來看,就是要從笛卡兒積中篩選出滿足ON子句條件的記錄。有INNER JOIN,WHERE(等值連接),STRAIGHT_JOIN,JOIN(省略INNER)四種寫法。
SELECT * FROM t_blog INNER JOIN t_type ON t_blog.typeId=t_type.id; SELECT * FROM t_blog,t_type WHERE t_blog.typeId=t_type.id; SELECT * FROM t_blog STRAIGHT_JOIN t_type ON t_blog.typeId=t_type.id; --注意STRIGHT_JOIN有个下划线 SELECT * FROM t_blog JOIN t_type ON t_blog.typeId=t_type.id; +----+-------+--------+----+------+ | id | title | typeId | id | name | +----+-------+--------+----+------+ | 1 | aaa | 1 | 1 | C++ | | 2 | bbb | 2 | 2 | C | | 7 | ggg | 2 | 2 | C | | 3 | ccc | 3 | 3 | Java | | 6 | fff | 3 | 3 | Java | | 4 | ddd | 4 | 4 | C# | | 5 | eee | 4 | 4 | C# | +----+-------+--------+----+------+
左連接LEFT JOIN的意義就是求兩個表的交集外加左表剩下的資料。依舊從笛卡兒積的角度講,就是先從笛卡兒積中挑出ON子句條件成立的記錄,然後加上左表中剩餘的記錄(見最後三條)。
SELECT * FROM t_blog LEFT JOIN t_type ON t_blog.typeId=t_type.id; +----+-------+--------+------+------+ | id | title | typeId | id | name | +----+-------+--------+------+------+ | 1 | aaa | 1 | 1 | C++ | | 2 | bbb | 2 | 2 | C | | 7 | ggg | 2 | 2 | C | | 3 | ccc | 3 | 3 | Java | | 6 | fff | 3 | 3 | Java | | 4 | ddd | 4 | 4 | C# | | 5 | eee | 4 | 4 | C# | | 8 | hhh | NULL | NULL | NULL | | 9 | iii | NULL | NULL | NULL | | 10 | jjj | NULL | NULL | NULL | +----+-------+--------+------+------+
同理右連結RIGHT JOIN就是求兩個表的交集外加右邊表剩下的資料。再次從笛卡兒積的角度描述,右連接就是從笛卡兒積中挑出ON子句條件成立的記錄,然後加上右表中剩餘的記錄(見最後一條)。
SELECT * FROM t_blog RIGHT JOIN t_type ON t_blog.typeId=t_type.id; +------+-------+--------+----+------------+ | id | title | typeId | id | name | +------+-------+--------+----+------------+ | 1 | aaa | 1 | 1 | C++ | | 2 | bbb | 2 | 2 | C | | 3 | ccc | 3 | 3 | Java | | 4 | ddd | 4 | 4 | C# | | 5 | eee | 4 | 4 | C# | | 6 | fff | 3 | 3 | Java | | 7 | ggg | 2 | 2 | C | | NULL | NULL | NULL | 5 | Javascript | +------+-------+--------+----+------------+
外連接就是求兩個集合的並集。從笛卡兒積的角度講就是從笛卡兒積中挑出ON子句條件成立的記錄,然後加上左表剩餘的記錄,最後加上右表中剩餘的記錄。 MySQL不支援OUTER JOIN,但是我們可以透過將左連接和右連接的結果進行UNION操作來實現。
SELECT * FROM t_blog LEFT JOIN t_type ON t_blog.typeId=t_type.id UNION SELECT * FROM t_blog RIGHT JOIN t_type ON t_blog.typeId=t_type.id; +------+-------+--------+------+------------+ | id | title | typeId | id | name | +------+-------+--------+------+------------+ | 1 | aaa | 1 | 1 | C++ | | 2 | bbb | 2 | 2 | C | | 7 | ggg | 2 | 2 | C | | 3 | ccc | 3 | 3 | Java | | 6 | fff | 3 | 3 | Java | | 4 | ddd | 4 | 4 | C# | | 5 | eee | 4 | 4 | C# | | 8 | hhh | NULL | NULL | NULL | | 9 | iii | NULL | NULL | NULL | | 10 | jjj | NULL | NULL | NULL | | NULL | NULL | NULL | 5 | Javascript | +------+-------+--------+------+------------+
MySQL中連接SQL語句中,ON子句的語法格式為:table1.column_name = table2.column_name。當模式設計對聯接表的欄位採用了相同的命名樣式時,就可以使用 USING 語法來簡化 ON 語法,格式為:USING(column_name)。
所以,USING的功能相當於ON,差別在於USING指定一個屬性名稱用來連接兩個表,而ON指定一個條件。另外,SELECT *時,USING會移除USING指定的列,而ON不會。實例如下。
SELECT * FROM t_blog INNER JOIN t_type ON t_blog.typeId =t_type.id; +----+-------+--------+----+------+ | id | title | typeId | id | name | +----+-------+--------+----+------+ | 1 | aaa | 1 | 1 | C++ | | 2 | bbb | 2 | 2 | C | | 7 | ggg | 2 | 2 | C | | 3 | ccc | 3 | 3 | Java | | 6 | fff | 3 | 3 | Java | | 4 | ddd | 4 | 4 | C# | | 5 | eee | 4 | 4 | C# | +----+-------+--------+----+------+ SELECT * FROM t_blog INNER JOIN t_type USING(typeId); ERROR 1054 (42S22): Unknown column 'typeId' in 'from clause' SELECT * FROM t_blog INNER JOIN t_type USING(id); -- 应为t_blog的typeId与t_type的id不同名,无法用Using,这里用id代替下。 +----+-------+--------+------------+ | id | title | typeId | name | +----+-------+--------+------------+ | 1 | aaa | 1 | C++ | | 2 | bbb | 2 | C | | 3 | ccc | 3 | Java | | 4 | ddd | 4 | C# | | 5 | eee | 4 | Javascript | +----+-------+--------+------------+
自然連接就是USING子句的簡化版,它找出兩個表中相同的列作為連接條件進行連接。有左自然連接,右自然連接和普通自然連接之分。在t_blog和t_type範例中,兩個表格相同的欄位是id,所以會拿id當連接條件。
另外千萬分清下面三條語句的差別 。
自然連結:SELECT * FROM t_blog NATURAL JOIN t_type;
笛卡兒積:SELECT * FROM t_blog NATURA JOIN t_type;
笛卡兒積:SELECT * FROM t_blog NATURE JOIN t_type;##rr
SELECT * FROM t_blog NATURAL JOIN t_type; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog,t_type WHERE t_blog.id=t_type.id; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog INNER JOIN t_type ON t_blog.id=t_type.id; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog INNER JOIN t_type USING(id); +----+-------+--------+------------+ | id | title | typeId | name | | 1 | aaa | 1 | C++ | | 2 | bbb | 2 | C | | 3 | ccc | 3 | Java | | 4 | ddd | 4 | C# | | 5 | eee | 4 | Javascript | SELECT * FROM t_blog NATURAL LEFT JOIN t_type; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog LEFT JOIN t_type ON t_blog.id=t_type.id; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog LEFT JOIN t_type USING(id); | 6 | fff | 3 | NULL | | 7 | ggg | 2 | NULL | | 8 | hhh | NULL | NULL | | 9 | iii | NULL | NULL | | 10 | jjj | NULL | NULL | SELECT * FROM t_blog NATURAL RIGHT JOIN t_type; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog RIGHT JOIN t_type ON t_blog.id=t_type.id; SELECT t_blog.id,title,typeId,t_type.name FROM t_blog RIGHT JOIN t_type USING(id); +----+------------+-------+--------+ | id | name | title | typeId | | 1 | C++ | aaa | 1 | | 2 | C | bbb | 2 | | 3 | Java | ccc | 3 | | 4 | C# | ddd | 4 | | 5 | Javascript | eee | 4 |
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