第三节 关联查询优化
1、数据准备
#分类CREATE TABLE IF NOT EXISTS `class` (`id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT,`card` INT(10) UNSIGNED NOT NULL,PRIMARY KEY (`id`));#图书CREATE TABLE IF NOT EXISTS `book` (`bookid` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT,`card` INT(10) UNSIGNED NOT NULL,PRIMARY KEY (`bookid`));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO class(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));INSERT INTO book(card) VALUES(FLOOR(1 + (RAND() * 20)));
2、left join
①测试
开始是没有加索引的情况。下面开始explain分析:
EXPLAIN SELECT SQL_NO_CACHE * FROM class LEFT JOIN book ON class.card = book.card;
分析结果:

添加索引优化
ALTER TABLE book ADD INDEX Y (card);
ALTER TABLE class ADD INDEX X (card);
重新分析的结果:

看这个分析结果发现:在 class 表上添加的索引起的作用不大。
③结论
- 小表驱动大表
- 小表:相对来说记录较少的表
- 大表:相对来说记录较多的表
- 驱动方式识别
- left join:左边驱动右边(此时把小表放在左边)
- right join:右边驱动左边(此时把小表放在右边)
- 加索引的方式:通常建议在大表(被驱动)的表加索引,效率提升更明显。
- 原因:
- 原因1:被驱动表加了索引之后,收益更大。从 ALL -> ref
- 原因2:外连接首先读取驱动表的全部数据,被驱动只读取满足连接条件的数据。
3、inner join
换成inner join(MySQL自动选择驱动表)
# 特意将 book 放在 from 子句,去对 class 表做内连接
EXPLAIN
SELECT SQL_NO_CACHE *
FROM book
inner JOIN class ON class.card = book.card;
分析结果:

MySQL 还是选择了 class 作为驱动表。
4、小结
- 保证被驱动表的 join 字段被索引。join 字段就是作为连接条件的字段。
- left join 时,选择小表作为驱动表(放左边),大表作为被驱动表(放右边)
- inner join 时,mysql 会自动将小结果集的表选为驱动表。
- 子查询尽量不要放在被驱动表,衍生表建不了索引
- 能够直接多表关联的尽量直接关联,不用子查询
