EXPLAIN 关键字可以用于获取 SQL 语句执行计划的相关信息,在 MySQL 8.0 中,EXPLAIN 支持大多数 SQL 语句,如 SELECT 、DELETE 、INSERT 、REPLACE、和 UPDATE 。示例如下:
mysql> EXPLAIN SELECT * FROM employees;
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------+
| 1 | SIMPLE | employees | ALL | NULL | NULL | NULL | NULL | 299379 | NULL |
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------+
注:本篇文章的测试数据来源于 MySQL 官方提供的 Employees Sample Database,其数据库结构如下:
以下分别介绍 EXPLAIN 输出结果中各个字段的含义:id 为行标识符,同时也表示语句执行的优先级,值越大则优先级越高。特殊情况下,如果某行语句引用了其他多行结果集的并集,则该值可以为 NULL。示例如下:
# 该FROM字句只是用于演示,并没有任何实际意义
mysql> EXPLAIN SELECT COUNT(1) FROM (SELECT emp_no FROM salaries) AS t;
+----+-------------+------------+-------+---------------+---------+---------+------+---------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------+-------+---------------+---------+---------+------+---------+-------------+
| 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 2757635 | NULL |
| 2 | DERIVED | salaries | index | NULL | PRIMARY | 7 | NULL | 2757635 | Using index |
+----+-------------+------------+-------+---------------+---------+---------+------+---------+-------------+
# 查询工资大于500000或部门编号等于d007的所有雇员的编号
mysql> EXPLAIN SELECT emp_no FROM salaries WHERE salary>500000 UNION ALL SELECT emp_no FROM dept_emp WHERE dept_no = "d007";
+----+--------------+------------+------+---------------+---------+---------+-------+---------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------+------------+------+---------------+---------+---------+-------+---------+--------------------------+
| 1 | PRIMARY | salaries | ALL | NULL | NULL | NULL | NULL | 2837161 | Using where |
| 2 | UNION | dept_emp | ref | dept_no | dept_no | 4 | const | 91566 | Using where; Using index |
| NULL | UNION RESULT | <union1,2> | ALL | NULL | NULL | NULL | NULL | NULL | Using temporary |
+----+--------------+------------+------+---------------+---------+---------+-------+---------+--------------------------+
select_type 用于表示查询的类型,常见类型及其含义如下:
- SIMPLE:不包含子查询或者 UNION 操作的查询;
- PRIMARY:查询中如果包含任何子查询,那么最外层的查询则被标记为 PRIMARY ;
- SUBQUERY:子查询中第一个 SELECT ;
- DEPENDENT SUBQUERY:子查询中的第一个 SELECT,取决于外部查询;
- UNION:UNION 操作的第二个或者之后的查询;
- DEPENDENT UNION:UNION 操作的第二个或者之后的查询,取决于外部查询;
- UNION RESULT:UNION 产生的结果集;
- DERIVED:出现在 FROM 字句中的子查询。
这里以查询类型为 SUBQUERY 的情况进行演示,示例如下:
# 根据员工编号查询员工姓名及其工资总和
mysql> EXPLAIN SELECT first_name,(SELECT sum(salary) FROM salaries WHERE emp_no = 10001) FROM employees WHERE emp_no = 10001;
+----+-------------+-----------+-------+---------------+---------+---------+-------+------+-------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------+---------------+---------+---------+-------+------+-------+
| 1 | PRIMARY | employees | const | PRIMARY | PRIMARY | 4 | const | 1 | NULL |
| 2 | SUBQUERY | salaries | ref | PRIMARY | PRIMARY | 4 | const | 17 | NULL |
+----+-------------+-----------+-------+---------------+---------+---------+-------+------+-------+
表示语句执行的目标表,除了正常的表名或表别名外,还会出现以下取值:
- <unionM,N>:输出结果中编号为 M 的行与编号为 N 的行的结果集的并集。
- <derivedN>:输出结果中编号为 N 的行的结果集,derived 表示这是一个派生结果集,如 FROM 子句中的查询。
- <subqueryN>:输出结果中编号为 N 的行的结果集,subquery 表示这是一个物化子查询。
type 字段是进行性能判断的重要依据,它表示 MySQL 使用何种方式来查找目标数据集,不同查找方式会导致不同的性能开销,常见查找方式及其性能表现按照由高到低的顺序排序如下:
1. system:这是 const 类型的一个特例,只会出现在待查询的表只有一行数据的情况下。
2. const:常出现在主键或唯一索引与常量值进行比较的场景下,此时查询性能是最优的。
mysql> EXPLAIN SELECT * FROM employees WHERE emp_no = 10008;
+----+-------------+-----------+-------+---------------+---------+---------+-------+------+-------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------+---------------+---------+---------+-------+------+-------+
| 1 | SIMPLE | employees | const | PRIMARY | PRIMARY | 4 | const | 1 | NULL |
+----+-------------+-----------+-------+---------------+---------+---------+-------+------+-------+
3. eq_ref:当连接使用的是完整的索引并且是 PRIMARY KEY 或 UNIQUE NOT NULL INDEX 时使用它。
# 这里员工部门关系表 dept_no 的联合主键为 emp_no + dept_no ,即员工编号+部门标号
mysql> EXPLAIN SELECT * FROM employees e,dept_emp d WHERE e.emp_no = d.emp_no AND dept_no = "d005";
+----+-------------+-------+--------+-----------------+---------+---------+--------------------+------+-----------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+-----------------+---------+---------+--------------------+------+-----------------------+
| 1 | SIMPLE | d | ref | PRIMARY,dept_no | dept_no | 4 | const | 1 | Using index condition |
| 1 | SIMPLE | e | eq_ref | PRIMARY | PRIMARY | 4 | employees.d.emp_no | 1 | NULL |
+----+-------------+-------+--------+-----------------+---------+---------+--------------------+------+-----------------------+
4. ref:当连接使用的是前缀索引或连接条件不是 PRIMARY KEY 或 UNIQUE INDEX 时则使用它。
# 这里仅使用了前缀索引emp_no,所以其类型为 ref , 而不是 eq_ref
mysql> EXPLAIN SELECT * FROM employees e,dept_emp d WHERE e.emp_no = d.emp_no;
+----+-------------+-------+------+---------------+---------+---------+--------------------+--------+-------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+---------------+---------+---------+--------------------+--------+-------+
| 1 | SIMPLE | e | ALL | PRIMARY | NULL | NULL | NULL | 299379 | NULL |
| 1 | SIMPLE | d | ref | PRIMARY | PRIMARY | 4 | employees.e.emp_no | 1 | NULL |
+----+-------------+-------+------+---------------+---------+---------+--------------------+--------+-------+
5. ref_or_null:类似于 ref 类型的查询,但是附加了对 NULL 值列的查询。示例语句如下:
SELECT * FROM ref_table WHERE key_column=expr OR key_column IS NULL;
6. index_merge:该联接类型表示使用了索引进行合并优化,示例如下:
mysql> EXPLAIN SELECT * FROM dept_emp WHERE dept_no = "d004" AND emp_no < 10020;
+----+-------------+----------+-------------+-----------------+-----------------+---------+------+------+-----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+----------+-------------+-----------------+-----------------+---------+------+------+-----------------------------------------------+
| 1 | SIMPLE | dept_emp | index_merge | PRIMARY,dept_no | dept_no,PRIMARY | 8,4 | NULL | 1 | Using intersect(dept_no,PRIMARY); Using where |
+----+-------------+----------+-------------+-----------------+-----------------+---------+------+------+-----------------------------------------------+
7. range:使用索引进行范围扫描,常见于 between、> 、< 这样的查询条件。
mysql> EXPLAIN SELECT * FROM employees WHERE emp_no > 10000;
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
| 1 | SIMPLE | employees | range | PRIMARY | PRIMARY | 4 | NULL | 149689 | Using where |
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
8. index:索引连接类型与 ALL 相同,只是扫描的是索引树,通常出现在索引是该查询的覆盖索引的情况:
mysql> EXPLAIN SELECT emp_no FROM employees;
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
| 1 | SIMPLE | employees | index | NULL | PRIMARY | 4 | NULL | 299379 | Using index |
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
9. ALL:全表扫描,效率最差的查找方式。
mysql> EXPLAIN SELECT * FROM employees WHERE first_name ="Bezalel";
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------------+
| 1 | SIMPLE | employees | ALL | NULL | NULL | NULL | NULL | 299379 | Using where |
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------------+
表示在执行过程中可能会用到哪些索引来进行优化。
表示在执行过程中实际用到的用于优化的索引。
表示使用到的索引的字节数。
显示哪些列或常量与 key 列中指定的索引进行比较。
MySQL 为了找到目标行而读取的所有行的数量,这是一个估算的值。
Extra 列主要用于显示额外的信息,常见信息及其含义如下:
1. Using where :MySQL 服务器会在存储引擎检索行后再进行过滤。示例如下:
# first_name 字段是一个普通的列,非索引列
mysql> EXPLAIN SELECT * FROM employees WHERE first_name = "Sumant";
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------------+
| 1 | SIMPLE | employees | ALL | NULL | NULL | NULL | NULL | 299379 | Using where |
+----+-------------+-----------+------+---------------+------+---------+------+--------+-------------+
2. Using filesort:通常出现在 GROUP BY 或 ORDER BY 语句中,且排序或分组没有基于索引,此时需要使用文件在内存中进行排序。因为使用索引排序的性能好于使用文件排序,所以出现这种情况可以考虑通过添加索引进行优化。示例如下:
mysql> EXPLAIN SELECT * FROM employees ORDER BY first_name ;
+----+-------------+-----------+------+---------------+------+---------+------+--------+----------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+------+---------------+------+---------+------+--------+----------------+
| 1 | SIMPLE | employees | ALL | NULL | NULL | NULL | NULL | 299379 | Using filesort |
+----+-------------+-----------+------+---------------+------+---------+------+--------+----------------+
3. Using index:使用了覆盖索引进行查询,此时不需要访问表,从索引中就可以获取到所需的全部数据。示例如下:
mysql> EXPLAIN SELECT emp_no FROM employees;
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
| 1 | SIMPLE | employees | index | NULL | PRIMARY | 4 | NULL | 299379 | Using index |
+----+-------------+-----------+-------+---------------+---------+---------+------+--------+-------------+
4. Using temporary:表示需要使用临时表来处理查询,常出现在 GROUP BY 或 ORDER BY 语句中,示例如下:
mysql> EXPLAIN SELECT first_name,count(first_name) FROM employees GROUP BY first_name ;
+----+-------------+-----------+------+---------------+------+---------+------+--------+---------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+------+---------------+------+---------+------+--------+---------------------------------+
| 1 | SIMPLE | employees | ALL | NULL | NULL | NULL | NULL | 299379 | Using temporary; Using filesort |
+----+-------------+-----------+------+---------------+------+---------+------+--------+---------------------------------+
更多参数的说明可以参考 MySQL 官方文档:https://dev.mysql.com/doc/refman/8.0/en/explain-output.html