MySQL的JOIN（三）：JOIN优化实践之内循环的次数

这篇博文讲述如何优化内循环的次数。内循环的次数受驱动表的记录数所影响，驱动表记录数越多，内循环就越多，连接效率就越低下，所以尽量用小表驱动大表。先插入测试数据。

    CREATE TABLE t1 (
        id INT PRIMARY KEY AUTO_INCREMENT,
        type INT
    );
    SELECT COUNT(*) FROM t1;
    +----------+
    | COUNT(*) |
    +----------+
    |    10000 |
    +----------+
    CREATE TABLE t2 (
        id INT PRIMARY KEY AUTO_INCREMENT,
        type INT
    );
    SELECT COUNT(*) FROM t2;
    +----------+
    | COUNT(*) |
    +----------+
    |      100 |
    +----------+

内连接谁当驱动表

MySQL的JOIN（一）：用法

    EXPLAIN SELECT * FROM t1 STRAIGHT_JOIN t2 ON t1.type=t2.type;
    +----+-------+------+------+-------+----------------------------------------------------+
    | id | table | type | key  | rows  | Extra                                              |
    +----+-------+------+------+-------+----------------------------------------------------+
    |  1 | t1    | ALL  | NULL | 10000 | NULL                                               |
    |  1 | t2    | ALL  | NULL |   100 | Using where; Using join buffer (Block Nested Loop) |
    +----+-------+------+------+-------+----------------------------------------------------+
    EXPLAIN SELECT * FROM t2 STRAIGHT_JOIN t1 ON t2.type=t1.type;
    +----+-------+------+------+-------+----------------------------------------------------+
    | id | table | type | key  | rows  | Extra                                              |
    +----+-------+------+------+-------+----------------------------------------------------+
    |  1 | t2    | ALL  | NULL |   100 | NULL                                               |
    |  1 | t1    | ALL  | NULL | 10000 | Using where; Using join buffer (Block Nested Loop) |
    +----+-------+------+------+-------+----------------------------------------------------+

对于第一条查询语句，t1是驱动表，其有10000条记录，内循环也就有10000次，这还得了？
对于第二条查询语句，t2是驱动表，其有100条记录，内循环100次，感觉不错，我喜欢!
这些SQL语句的执行时间也说明了，当内连接时，务必用小表驱动大表。

最佳实践：直接让MySQL去判断

但是，表的记录数是会变化的，有没有一劳永逸的写法？当然有啦，MySQL自带的Optimizer会优化内连接，优化策略就是上面讲的小表驱动大表。所以，以后写内连接不要纠结谁内连接谁了，直接让MySQL去判断吧。

    EXPLAIN SELECT * FROM t1 INNER JOIN t2 ON t1.type=t2.type;
    EXPLAIN SELECT * FROM t2 INNER JOIN t1 ON t1.type=t2.type;
    EXPLAIN SELECT * FROM t1 JOIN t2 ON t1.type=t2.type;
    EXPLAIN SELECT * FROM t2 JOIN t1 ON t1.type=t2.type;
    EXPLAIN SELECT * FROM t1,t2 WHERE t1.type=t2.type;
    EXPLAIN SELECT * FROM t2,t1 WHERE t1.type=t2.type;
    +----+-------+------+------+--------+----------------------------------------------------+
    | id | table | type | key  | rows   | Extra                                              |
    +----+-------+------+------+--------+----------------------------------------------------+
    |  1 | t2    | ALL  |  NULL|    100 | NULL                                               |
    |  1 | t1    | ALL  | NULL | 110428 | Using where; Using join buffer (Block Nested Loop) |
    +----+-------+------+------+--------+----------------------------------------------------+

上面6条内连接SQL，MySQL的Optimizer都会进行优化。