mysql学习之关联查询优化

我爱海鲸 2022-02-16 17:36:13 暂无标签

简介两张表的关联查询优化

1、建表语句

CREATE TABLE IF NOT EXISTS `class` (
`id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT, `card` INT(10) UNSIGNED NOT NULL, PRIMARY KEY (`id`)
);
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、案例

2.1 left join

①EXPLAIN SELECT * FROM class LEFT JOIN book ON class.card = book.card;

②如何优化?在哪个表上建立索引?

ALTER TABLE `book` ADD INDEX idx_card( `card`);

③删除 book 表的索引:drop index idx_card on book;
在 class 表上建立索引:alter table class add index idx_card(card);

结论:

   ①在优化关联查询时,只有在被驱动表上建立索引才有效!

   ②left join 时,左侧的为驱动表,右侧为被驱动表!

2.2 inner join

   ①EXPLAIN SELECT * FROM book inner join class on class.card=book.card

   ②两个查询字段调换顺序,发现结果也是一样的!

   ③在 book 表中,删除 9 条记录

④结论:inner join 时,mysql 会自己帮你把小结果集的表选为驱动表。

⑤straight_join: 效果和 inner join 一样,但是会强制将左侧作为驱动表!

2.3 四个关联查询案例分析

EXPLAIN SELECT ed.name '人物',c.name '掌门' FROM
(SELECT e.name,d.ceo from t_emp e LEFT JOIN t_dept d on e.deptid=d.id) ed
LEFT JOIN t_emp c on ed.ceo=c.id;

EXPLAIN SELECT e.name '人物',tmp.name '掌门' FROM t_emp e LEFT JOIN (SELECT d.id did,e.name FROM t_dept d LEFT JOIN t_emp e ON d.ceo=e.id)tmp
ON e.deptId=tmp.did;

上述两个案例,第一个查询效率较高,且有优化的余地。第二个案例中,子查询作为被驱动表,由于子查询是虚表,
无法建立索引,因此不能优化。

结论:
   子查询尽量不要放在被驱动表,有可能使用不到索引;
   left join时,尽量让实体表作为被驱动表。

EXPLAIN SELECT e1.name '人物',e2.name '掌门' FROM t_emp e1
LEFT JOIN t_dept d on e1.deptid = d.id
LEFT JOIN t_emp e2 on d.ceo = e2.id ;

Explain SELECT e2.name '人物', (SELECT e1.name FROM t_emp e1 where e1.id= d.ceo) '掌门' from t_emp e2 LEFT JOIN t_dept d on e2.deptid=d.id;

结论:能够直接多表关联的尽量直接关联,不用子查询!

你好:我的2025