SQL性能调优的依据就是explain,其中type对结果影响最大,本文详细介绍了一下各个不同的type所表示的意义
ps: 网上有很多文档,但是有的并不能复现,所以再仔细研究了一下,并实验了结果
- 版本
mysql> SELECT VERSION();
-----------
| VERSION() |
-----------
| 8.0.22 |
-----------
type类型从快到慢:
system
>const
>eq_ref
>ref
>range
>index
>ALL
system
表中只有一行记录(系统表)。是const类型的一个特殊情况。(目前InnoDB已经没有,在MyISAM可以)
代码语言:javascript复制CREATE TABLE `user_innodb` (
`id` int NOT NULL AUTO_INCREMENT,
`name` varchar(32) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
insert into user_innodb(name) values('tenmao');
CREATE TABLE `user_myiasm` (
`id` int NOT NULL AUTO_INCREMENT,
`name` varchar(32) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4;
insert into user_myiasm(name) values('tenmao');
mysql> explain select * from user_innodb;
---- ------------- ------------- ------------ ------ --------------- ------ --------- ------ ------ ---------- -------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ------------- ------------ ------ --------------- ------ --------- ------ ------ ---------- -------
| 1 | SIMPLE | user_innodb | NULL | ALL | NULL | NULL | NULL | NULL | 1 | 100.00 | NULL |
---- ------------- ------------- ------------ ------ --------------- ------ --------- ------ ------ ---------- -------
1 row in set, 1 warning (0.01 sec)
mysql> explain select * from user_myiasm;
---- ------------- ------------- ------------ -------- --------------- ------ --------- ------ ------ ---------- -------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ------------- ------------ -------- --------------- ------ --------- ------ ------ ---------- -------
| 1 | SIMPLE | user_myiasm | NULL | system | NULL | NULL | NULL | NULL | 1 | 100.00 | NULL |
---- ------------- ------------- ------------ -------- --------------- ------ --------- ------ ------ ---------- -------
1 row in set, 1 warning (0.00 sec)
const
表中最多只有一行匹配的记录。一般用在主键索引或者唯一键索引上的等值查询(如果是多字段索引,则需要全匹配)
代码语言:javascript复制SELECT * FROM tbl_name WHERE primary_key=1;
SELECT * FROM tbl_name WHERE primary_key_part1=1 AND primary_key_part2=2;
代码语言:javascript复制CREATE TABLE `user` (
`id` int NOT NULL AUTO_INCREMENT,
`name` varchar(32) NOT NULL,
`email` varchar(32) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `idx_email` (`email`),
KEY `idx_name` (`name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
insert into user(name, email) values('tenmao', 'tenmao@example.com');
explain select * from user where id=1;
explain select * from user where email='tenmao@example.com';
eq_ref
跨表join时,对于驱动表的每一行记录,被动表最多只会读取一行记录。跟单表查询不一样(system,const最快),在跨表查询中,eq_ref是最好的
代码语言:javascript复制CREATE TABLE `email_msg` (
`id` int NOT NULL AUTO_INCREMENT,
`email` varchar(32) NOT NULL,
`title` varchar(128) NOT NULL,
`content` text NOT NULL,
PRIMARY KEY (`id`),
KEY `idx_email` (`email`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
insert into email_msg(email, title, content) values('tenmao@example.com', 'email title', 'email content');
mysql> explain select email_msg.* from email_msg join user using(email);
---- ------------- ----------- ------------ -------- --------------- ----------- --------- -------------------------- ------ ---------- -------------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ----------- ------------ -------- --------------- ----------- --------- -------------------------- ------ ---------- -------------
| 1 | SIMPLE | email_msg | NULL | ALL | idx_email | NULL | NULL | NULL | 1 | 100.00 | NULL |
| 1 | SIMPLE | user | NULL | eq_ref | idx_email | idx_email | 130 | aics_tim.email_msg.email | 1 | 100.00 | Using index |
---- ------------- ----------- ------------ -------- --------------- ----------- --------- -------------------------- ------ ---------- -------------
ref
等值查询,但是可能匹配大于1行记录。比如普通的非唯一索引,或者联合主键和联合唯一索引的左前缀匹配(非全匹配)
代码语言:javascript复制mysql> explain select * from user where name='tenmao';
---- ------------- ------- ------------ ------ --------------- ---------- --------- ------- ------ ---------- -------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ------- ------------ ------ --------------- ---------- --------- ------- ------ ---------- -------
| 1 | SIMPLE | user | NULL | ref | idx_name | idx_name | 130 | const | 1 | 100.00 | NULL |
---- ------------- ------- ------------ ------ --------------- ---------- --------- ------- ------ ---------- -------
ref_or_null
与ref类似,但是条件中多了一个IS NULL
判断
alter table user add address varchar(128) default null;
alter table user add index idx_address(address);
mysql> explain select * from user where address='hello' or address is null;
---- ------------- ------- ------------ ------------- --------------- ------------- --------- ------- ------ ---------- -----------------------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ------- ------------ ------------- --------------- ------------- --------- ------- ------ ---------- -----------------------
| 1 | SIMPLE | user | NULL | ref_or_null | idx_address | idx_address | 515 | const | 2 | 100.00 | Using index condition |
---- ------------- ------- ------------ ------------- --------------- ------------- --------- ------- ------ ---------- -----------------------
range
范围查询,一般用在BETWEEN, LIKE, >, <等
代码语言:javascript复制mysql> explain select * from user where name like 'tenmao';
---- ------------- ------- ------------ ------- --------------- ---------- --------- ------ ------ ---------- -----------------------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ------- ------------ ------- --------------- ---------- --------- ------ ------ ---------- -----------------------
| 1 | SIMPLE | user | NULL | range | idx_name | idx_name | 130 | NULL | 1 | 100.00 | Using index condition |
---- ------------- ------- ------------ ------- --------------- ---------- --------- ------ ------ ---------- -----------------------
index
扫描整个索引,效率很低,仅仅因为辅助索引的空间比主键索引小,所以比ALL效率高一点。最常用的有SELECT COUNT(*)
mysql> explain select count(*) from user;
---- ------------- ------- ------------ ------- --------------- ----------- --------- ------ ------ ---------- -------------
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---- ------------- ------- ------------ ------- --------------- ----------- --------- ------ ------ ---------- -------------
| 1 | SIMPLE | user | NULL | index | NULL | idx_email | 130 | NULL | 1 | 100.00 | Using index |
---- ------------- ------- ------------ ------- --------------- ----------- --------- ------ ------ ---------- -------------
ALL
全表扫描
参考
- EXPLAIN Join Types