explain执行计划中type字段分为以下几种：ALL INDEX RANGE REF EQ_REF CONST,SYSTEM NULL从左至右，性能从最差到最好type = ALL，全表扫描，MYSQL扫描全表来找到匹配的行（因为film表中rating不是索引）mysql> explain extended select * from film where rating > 9\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: film type: ALLpossible_keys: NULL key: NULL key_len: NULL ref: NULL rows: 1024 filtered: 100.00 Extra: Using where1 row in set, 1 warning (0.00 sec)type = index，索引全扫描，MYSQL遍历整个索引来查找匹配的行。（虽然where条件中没有用到索引，但是要取出的列title是索引包含的列，所以只要全表扫描索引即可，直接使用索引树查找数据）mysql> explain select title from film\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: film type: indexpossible_keys: NULL key: idx_title key_len: 767 ref: NULL rows: 1024 Extra: Using index1 row in set (0.00 sec)type = range ，索引范围扫描，常见于<、<=、>、>=、between等操作符（因为customer_id是索引，所以只要查找索引的某个范围即可，通过索引找到具体的数据）mysql> explain select * from payment where customer_id > 300 and customer_id < 350\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: payment type: rangepossible_keys: idx_fk_customer_id key: idx_fk_customer_id key_len: 2 ref: NULL rows: 1294 Extra: Using where1 row in set (0.01 sec)type = ref ，使用非唯一性索引或者唯一索引的前缀扫描，返回匹配某个单独值的记录行。（1）使用非唯一性索引customer_id单表查询mysql> explain select * from payment where customer_id = 350\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: payment type: refpossible_keys: idx_fk_customer_id key: idx_fk_customer_id key_len: 2 ref: const rows: 23 Extra:1 row in set (0.00 sec)（2）使用非唯一性索引联表查询（由于customer_id在a表中不是主键，是普通索引（非唯一），所以是ref）mysql> explain select b.*, a.* from payment a ,customer b where a.customer_id = b.customer_id\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: b type: ALLpossible_keys: PRIMARY key: NULL key_len: NULL ref: NULL rows: 541 Extra:*************************** 2. row *************************** id: 1 select_type: SIMPLE table: a type: refpossible_keys: idx_fk_customer_id key: idx_fk_customer_id key_len: 2 ref: sakila.b.customer_id rows: 14 Extra:2 rows in set (0.00 sec) type = eq_ref，相对于ref来说就是使用的是唯一索引，对于每个索引键值，只有唯一的一条匹配记录（在联表查询中使用primary key或者unique key作为关联条件）（在film和film_text中film_id都是主键，即都是唯一索引）mysql> explain select * from film a ,film_text b where a.film_id = b.film_id\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: b type: ALLpossible_keys: PRIMARY key: NULL key_len: NULL ref: NULL rows: 1000 Extra:*************************** 2. row *************************** id: 1 select_type: SIMPLE table: a type: eq_refpossible_keys: PRIMARY key: PRIMARY key_len: 2 ref: sakila.b.film_id rows: 1 Extra: Using where2 rows in set (0.00 sec)type = const/system，单表中最多只有一条匹配行，查询起来非常迅速，所以这个匹配行中的其他列中的值可以被优化器在当前查询中当做常量来处理。例如根据主键或者唯一索引进行的查询。mysql> explain select * from film where film_id = 1\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: film type: constpossible_keys: PRIMARY key: PRIMARY key_len: 2 ref: const rows: 1 Extra:1 row in set (0.02 sec)注释：如果上表中film表中只有一行数据，那么type就是system。type = NULL，MYSQL不用访问表或者索引就直接能到结果。mysql> explain select 1 from dual where 1\G （dual是一个虚拟的表，可以直接忽略）*************************** 1. row *************************** id: 1 select_type: SIMPLE table: NULL type: NULLpossible_keys: NULL key: NULL key_len: NULL ref: NULL rows: NULL Extra: No tables used1 row in set (0.00 sec)mysql> select 1+1 from dual;+-----+| 1+1 |+-----+| 2 |+-----+1 row in set (0.05 sec)explain extendedmysql> explain extended select sum(amount) from customer a ,payment b where 1 = 1 and a.customer_id = b.customer_id and email = 'JANE.BENNETT@sakilacustomer.org'\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: a type: ALLpossible_keys: PRIMARY key: NULL key_len: NULL ref: NULL rows: 541 filtered: 100.00 Extra: Using where*************************** 2. row *************************** id: 1 select_type: SIMPLE table: b type: refpossible_keys: idx_fk_customer_id key: idx_fk_customer_id key_len: 2 ref: sakila.a.customer_id rows: 14 filtered: 100.00 Extra:2 rows in set, 1 warning (0.00 sec)mysql> show warnings\G*************************** 1. row *************************** Level: Note Code: 1003Message: select sum(`sakila`.`b`.`amount`) AS `sum(amount)` from `sakila`.`customer` `a` join `sakila`.`payment` `b` where ((`sakila`.`b`.`customer_id` = `sakila`.`a`.`customer_id`) and (`sakila`.`a`.`email` = 'JANE.BENNETT@sakilacustomer.org'))1 row in set (0.00 sec)