EXPLAIN 命令详解
转自:https://www.cnblogs.com/gomysql/p/3720123.html
在工作中,我们用于捕捉性能问题最常用的就是打开慢查询,定位执行效率差的SQL,那么当我们定位到一个SQL以后还不算完事,我们还需要知道该SQL的执行计划,比如是全表扫描,还是索引扫描,这些都需要通过EXPLAIN去完成。EXPLAIN命令是查看优化器如何决定执行查询的主要方法。可以帮助我们深入了解MySQL的基于开销的优化器,还可以获得很多可能被优化器考虑到的访问策略的细节,以及当运行SQL语句时哪种策略预计会被优化器采用。需要注意的是,生成的QEP并不确定,它可能会根据很多因素发生改变。MySQL不会将一个QEP和某个给定查询绑定,QEP将由SQL语句每次执行时的实际情况确定,即便使用存储过程也是如此。尽管在存储过程中SQL语句都是预先解析过的,但QEP仍然会在每次调用存储过程的时候才被确定。
通过执行计划可以知道什么?
(root@yayun-mysql-server) [test]>explain select d1.age, t2.id from (select age,name from t1 where id in (1,2))d1, t2 where d1.age=t2.age group by d1.age, t2.id order by t2.id;
+----+-------------+------------+-------+---------------+---------+---------+--------+------+---------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------+-------+---------------+---------+---------+--------+------+---------------------------------+
| 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 2 | Using temporary; Using filesort |
| 1 | PRIMARY | t2 | ref | age | age | 5 | d1.age | 1 | Using where; Using index |
| 2 | DERIVED | t1 | range | PRIMARY | PRIMARY | 4 | NULL | 2 | Using where |
+----+-------------+------------+-------+---------------+---------+---------+--------+------+---------------------------------+
3 rows in set (0.00 sec)
(root@yayun-mysql-server) [test]>
MySQL执行计划调用方式
1.EXPLAIN SELECT ……
变体:
2.EXPLAIN EXTENDED SELECT ……
将执行计划"反编译"成SELECT语句,运行SHOW WARNINGS
可得到被MySQL优化器优化后的查询语句
3.EXPLAIN PARTITIONS SELECT ……
用于分区表的EXPLAIN生成QEP的信息
执行计划包含的信息
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
1. id:
包含一组数字,表示查询中执行select子句或操作表的顺序
Example(id相同,执行顺序由上至下)
(root@yayun-mysql-server) [test]>explain select t2.* from t1, t2, t3 where t1.id=t2.id and t1.id=t3.id and t1.name='';
+----+-------------+-------+--------+---------------+---------+---------+------------+------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+---------------+---------+---------+------------+------+--------------------------+
| 1 | SIMPLE | t1 | ref | PRIMARY,name | name | 63 | const | 1 | Using where; Using index |
| 1 | SIMPLE | t2 | eq_ref | PRIMARY | PRIMARY | 4 | test.t1.id | 1 | |
| 1 | SIMPLE | t3 | eq_ref | PRIMARY | PRIMARY | 4 | test.t1.id | 1 | Using index |
+----+-------------+-------+--------+---------------+---------+---------+------------+------+--------------------------+
3 rows in set (0.00 sec)
(root@yayun-mysql-server) [test]>
Example (如果是子查询,id的序号会递增,id值越大优先级越高,越先被执行)
(root@yayun-mysql-server) [test]>explain select t2.* from t2 where id = (select id from t1 where id = (select t3.id from t3 where t3.name=''));
+----+-------------+-------+------+---------------+------+---------+------+------+-----------------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+---------------+------+---------+------+------+-----------------------------------------------------+
| 1 | PRIMARY | NULL | NULL | NULL | NULL | NULL | NULL | NULL | Impossible WHERE noticed after reading const tables |
| 2 | SUBQUERY | NULL | NULL | NULL | NULL | NULL | NULL | NULL | no matching row in const table |
| 3 | SUBQUERY | t3 | ref | name | name | 63 | | 1 | Using where; Using index |
+----+-------------+-------+------+---------------+------+---------+------+------+-----------------------------------------------------+
3 rows in set (0.00 sec)
(root@yayun-mysql-server) [test]>
Example(id如果相同,可以认为是一组,从上往下顺序执行;在所有组中,id值越大,优先级越高,越先执行)
(root@yayun-mysql-server) [test]>explain select t2.* from (select t3.id from t3 where t3.name='')s1, t2 where s1.id=t2.id;
+----+-------------+------------+--------+---------------+---------+---------+-------+------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------+--------+---------------+---------+---------+-------+------+--------------------------+
| 1 | PRIMARY | <derived2> | system | NULL | NULL | NULL | NULL | 1 | |
| 1 | PRIMARY | t2 | const | PRIMARY | PRIMARY | 4 | const | 1 | |
| 2 | DERIVED | t3 | ref | name | name | 63 | | 1 | Using where; Using index |
+----+-------------+------------+--------+---------------+---------+---------+-------+------+--------------------------+
3 rows in set (0.00 sec)
(root@yayun-mysql-server) [test]>
2. select_type
示查询中每个select子句的类型(简单OR复杂)
a. SIMPLE:查询中不包含子查询或者UNION
b. 查询中若包含任何复杂的子部分,最外层查询则被标记为:PRIMARY
c. 在SELECT或WHERE列表中包含了子查询,该子查询被标记为:SUBQUERY
d. 在FROM列表中包含的子查询被标记为:DERIVED(衍生)用来表示包含在from子句中的子查询的select,mysql会递归执行并将结果放到一个临时表中。服务器内部称为"派生表",因为该临时表是从子查询中派生出来的
e. 若第二个SELECT出现在UNION之后,则被标记为UNION;若UNION包含在FROM子句的子查询中,外层SELECT将被标记为:DERIVED
f. 从UNION表获取结果的SELECT被标记为:UNION RESULT
SUBQUERY和UNION还可以被标记为DEPENDENT和UNCACHEABLE。
DEPENDENT意味着select依赖于外层查询中发现的数据。
UNCACHEABLE意味着select中的某些 特性阻止结果被缓存于一个item_cache中。
Example
(root@yayun-mysql-server) [test]>explain select d1.name, ( select id from t3) d2 from (select id,name from t1 where name='')d1 union (select name,id from t2);
+----+--------------+------------+--------+---------------+------+---------+------+------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------+------------+--------+---------------+------+---------+------+------+--------------------------+
| 1 | PRIMARY | <derived3> | system | NULL | NULL | NULL | NULL | 0 | const row not found |
| 3 | DERIVED | t1 | ref | name | name | 63 | | 1 | Using where; Using index |
| 2 | SUBQUERY | t3 | index | NULL | age | 5 | NULL | 6 | Using index |
| 4 | UNION | t2 | index | NULL | name | 63 | NULL | 4 | Using index |
| NULL | UNION RESULT | <union1,4> | ALL | NULL | NULL | NULL | NULL | NULL | |
+----+--------------+------------+--------+---------------+------+---------+------+------+--------------------------+
5 rows in set (0.00 sec)
(root@yayun-mysql-server) [test]>
第一行:id列为1,表示第一个select,select_type列的primary表 示该查询为外层查询,table列被标记为<derived3>,表示查询结果来自一个衍生表,其中3代表该查询衍生自第三个select查询,即id为3的select。
第二行:id为3,表示该查询的执行次序为2( 4 => 3),是整个查询中第三个select的一部分。因查询包含在from中,所以为derived。
第三行:select列表中的子查询,select_type为subquery,为整个查询中的第二个select。
第四行:select_type为union,说明第四个select是union里的第二个select,最先执行。
第五行:代表从union的临时表中读取行的阶段,table列的<union1,4>表示用第一个和第四个select的结果进行union操作。
3. type
表示MySQL在表中找到所需行的方式,又称“访问类型”,常见类型如下:
ALL, index, range, ref, eq_ref, const, system, NULL
从左到右,性能从最差到最好
Example
a. ALL:Full Table Scan, MySQL将遍历全表以找到匹配的行
(root@yayun-mysql-server) [test]>explain select * from t1 where email='';
+----+-------------+-------+------+---------------+------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+---------------+------+---------+------+------+-------------+
| 1 | SIMPLE | t1 | ALL | NULL | NULL | NULL | NULL | 4 | Using where |
+----+-------------+-------+------+---------------+------+---------+------+------+-------------+
1 row in set (0.00 sec)
(root@yayun-mysql-server) [test]>
b. index:Full Index Scan,index与ALL区别为index类型只遍历索引树
(root@yayun-mysql-server) [test]>explain select id from t1;
+----+-------------+-------+-------+---------------+------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+------+---------+------+------+-------------+
| 1 | SIMPLE | t1 | index | NULL | age | 5 | NULL | 4 | Using index |
+----+-------------+-------+-------+---------------+------+---------+------+------+-------------+
1 row in set (0.00 sec)
(root@yayun-mysql-server) [test]>
c. range:索引范围扫描,对索引的扫描开始于某一点,返回匹配值域的行。显而易见的索引范围扫描是带有between或者where子句里带有<, >查询。当mysql使用索引去查找一系列值时,例如IN()和OR列表,也会显示range(范围扫描),当然性能上面是有差异的。
(root@yayun-mysql-server) [test]>explain select * from t1 where id in (1,4);
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| 1 | SIMPLE | t1 | range | PRIMARY | PRIMARY | 4 | NULL | 2 | Using where |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
1 row in set (0.00 sec)
(root@yayun-mysql-server) [test]>explain select * from t1 where id between 1 and 4;
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| 1 | SIMPLE | t1 | range | PRIMARY | PRIMARY | 4 | NULL | 3 | Using where |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
1 row in set (0.00 sec)
(root@yayun-mysql-server) [test]>explain select * from t1 where id=1 or id=4;
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| 1 | SIMPLE | t1 | range | PRIMARY | PRIMARY | 4 | NULL | 2 | Using where |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
1 row in set (0.01 sec)
(root@yayun-mysql-server) [test]>explain select * from t1 where id > 1;
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| 1 | SIMPLE | t1 | range | PRIMARY | PRIMARY | 4 | NULL | 3 | Using where |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
1 row in set (0.00 sec)
(root@yayun-mysql