MySQL EXPLAIN输出列的详细解释


Posted in MySQL onMay 12, 2021

1. 简介

EXPLAIN语句提供有关 MySQL 如何执行语句的信息。

EXPLAIN与SELECT、DELETE、INSERT、REPLACE和UPDATE语句一起使用。

mysql> EXPLAIN SELECT * FROM employees WHERE emp_no = 10001;
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type  | possible_keys | key     | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
|  1 | SIMPLE      | employees | NULL       | const | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

简单来讲,通过EXPLAIN可以分析出SQL语句走没走索引,走的是什么索引。

EXPLAIN为SELECT语句中使用的每个表返回一行信息,它按照 MySQL 在处理语句时读取它们的顺序列出了输出中的表。

MySQL 使用嵌套循环连接(Nested-Loop Join Algorithms)解析所有连接,这意味着 MySQL 从第一个表中读取一行,然后在第二个表,第三个表中找到匹配的行,依此类推。处理完所有表后,MySQL将通过表列表输出选定的列后回溯直到找到一个表,其中存在更多匹配的行。从该表中读取下一行,然后继续下一个表。

2.EXPLAIN 输出列

  • MySQL版本 5.7.33
  • Windows10 64位

从上图看到 EXPLAIN 的结果中,包括的表头id、select_type、table、partitions、type、possible_keys、key、key_len、ref、rows、filtered、Extra,这些字段的意思我们来学习然后通过实例进行了解一下。

2.1 id

SELECT 标识符,查询中 SELECT 的顺序号。如果该行引用其他行的并集结果,则该值可以为NULL。在这种情况下,表列显示类似<unionM,N>的值,以指示该行引用 id 值为 M 和 N 的行的并集。

id 值分三种情况:

id 相同,执行顺序由上至下

mysql> EXPLAIN (
    -> SELECT * FROM employees emp
    -> LEFT JOIN dept_emp de ON emp.emp_no = de.emp_no
    -> LEFT JOIN departments dept ON dept.dept_no = de.dept_no
    -> WHERE emp.emp_no = 10001);
+----+-------------+-------+------------+--------+---------------+---------+---------+----------------------+------+----------+-------+
| id | select_type | table | partitions | type   | possible_keys | key     | key_len | ref                  | rows | filtered | Extra |
+----+-------------+-------+------------+--------+---------------+---------+---------+----------------------+------+----------+-------+
|  1 | SIMPLE      | emp   | NULL       | const  | PRIMARY       | PRIMARY | 4       | const                |    1 |   100.00 | NULL  |
|  1 | SIMPLE      | de    | NULL       | ref    | PRIMARY       | PRIMARY | 4       | const                |    1 |   100.00 | NULL  |
|  1 | SIMPLE      | dept  | NULL       | eq_ref | PRIMARY       | PRIMARY | 12      | employees.de.dept_no |    1 |   100.00 | NULL  |
+----+-------------+-------+------------+--------+---------------+---------+---------+----------------------+------+----------+-------+
3 rows in set, 1 warning (0.03 sec)

id不相同,如果是子查询,id的序号会递增,id的值越大被执行的优先级越高

mysql> EXPLAIN SELECT * FROM employees emp
    -> WHERE emp.emp_no NOT IN ( SELECT de.emp_no FROM dept_emp de 
    -> WHERE de.dept_no NOT IN ( SELECT dept_no FROM departments WHERE dept_name = 'Development'));
+----+-------------+-------------+------------+-------+-------------------+-----------+---------+-------+--------+----------+--------------------------+
| id | select_type | table       | partitions | type  | possible_keys     | key       | key_len | ref   | rows   | filtered | Extra                    |
+----+-------------+-------------+------------+-------+-------------------+-----------+---------+-------+--------+----------+--------------------------+
|  1 | PRIMARY     | emp         | NULL       | ALL   | NULL              | NULL      | NULL    | NULL  | 299468 |   100.00 | Using where              |
|  2 | SUBQUERY    | de          | NULL       | index | PRIMARY           | dept_no   | 12      | NULL  | 308493 |   100.00 | Using where; Using index |
|  3 | SUBQUERY    | departments | NULL       | const | PRIMARY,dept_name | dept_name | 122     | const |      1 |   100.00 | Using index              |
+----+-------------+-------------+------------+-------+-------------------+-----------+---------+-------+--------+----------+--------------------------+
3 rows in set, 1 warning (0.00 sec)

id相同和不相同都存在

如果id相同可以认为是一组,同一组id执行顺序由上至下,不同组之间,id值越大被执行的优先级越高。

mysql> EXPLAIN SELECT * FROM employees emp
    -> WHERE emp.emp_no IN ( SELECT de.emp_no FROM dept_emp de 
    -> WHERE de.dept_no IN ( SELECT dept_no FROM departments WHERE dept_name LIKE '%Develop%'));
+----+--------------+-------------+------------+-------+-----------------+-----------+---------+-------------------------------+--------+----------+----------------------------------------------------+
| id | select_type  | table       | partitions | type  | possible_keys   | key       | key_len | ref                           | rows   | filtered | Extra                                              |
+----+--------------+-------------+------------+-------+-----------------+-----------+---------+-------------------------------+--------+----------+----------------------------------------------------+
|  1 | SIMPLE       | <subquery2> | NULL       | ALL   | NULL            | NULL      | NULL    | NULL                          |   NULL |   100.00 | NULL                                               |
|  1 | SIMPLE       | emp         | NULL       | ALL   | PRIMARY         | NULL      | NULL    | NULL                          | 299468 |     0.00 | Using where; Using join buffer (Block Nested Loop) |
|  2 | MATERIALIZED | departments | NULL       | index | PRIMARY         | dept_name | 122     | NULL                          |      9 |    11.11 | Using where; Using index                           |
|  2 | MATERIALIZED | de          | NULL       | ref   | PRIMARY,dept_no | dept_no   | 12      | employees.departments.dept_no |  38561 |   100.00 | Using index                                        |
+----+--------------+-------------+------------+-------+-----------------+-----------+---------+-------------------------------+--------+----------+----------------------------------------------------+
4 rows in set, 1 warning (0.01 sec)

2.2 select_type

查询的类型,主要用来区别普通查询,联合查询,子查询等复杂查询。

包含SIMPLE、PRIMARY、UNION、DEPENDENT UNION、UNION RESULT、SUBQUERY、DEPENDENT SUBQUERY、DERIVED、MATERIALIZED、UNCACHEABLE SUBQUERY、UNCACHEABLE UNION

SIMPLE

简单的SELECT,不使用UNION或子查询。

mysql> EXPLAIN select * from employees where emp_no=10001;
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type  | possible_keys | key     | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
|  1 | SIMPLE      | employees | NULL       | const | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

PRIMARY

查询中若包含任何复杂的子部分,最外层的查询则被标记为PRIMARY

mysql> EXPLAIN SELECT * FROM employees emp
    -> WHERE emp.emp_no IN ( SELECT max(emp_no) FROM dept_emp);
+----+--------------------+-------+------------+------+---------------+------+---------+------+--------+----------+------------------------------+
| id | select_type        | table | partitions | type | possible_keys | key  | key_len | ref  | rows   | filtered | Extra                        |
+----+--------------------+-------+------------+------+---------------+------+---------+------+--------+----------+------------------------------+
|  1 | PRIMARY            | emp   | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 299468 |   100.00 | Using where                  |
|  2 | DEPENDENT SUBQUERY | NULL  | NULL       | NULL | NULL          | NULL | NULL    | NULL |   NULL |     NULL | Select tables optimized away |
+----+--------------------+-------+------------+------+---------------+------+---------+------+--------+----------+------------------------------+
2 rows in set, 1 warning (0.00 sec)

UNION

第二个或更靠后的 SELECT 语句出现在 UNION 之后,则被标记为 UNION

mysql> EXPLAIN (SELECT emp_no,dept_no FROM dept_emp LIMIT 10)
    -> UNION
    -> SELECT emp_no,dept_no FROM dept_manager;
+----+--------------+--------------+------------+-------+---------------+---------+---------+------+--------+----------+-----------------+
| id | select_type  | table        | partitions | type  | possible_keys | key     | key_len | ref  | rows   | filtered | Extra           |
+----+--------------+--------------+------------+-------+---------------+---------+---------+------+--------+----------+-----------------+
|  1 | PRIMARY      | dept_emp     | NULL       | index | NULL          | dept_no | 12      | NULL | 308493 |   100.00 | Using index     |
|  2 | UNION        | dept_manager | NULL       | index | NULL          | dept_no | 12      | NULL |     24 |   100.00 | Using index     |
| NULL | UNION RESULT | <union1,2>   | NULL       | ALL   | NULL          | NULL    | NULL    | NULL |   NULL |     NULL | Using temporary |
+----+--------------+--------------+------------+-------+---------------+---------+---------+------+--------+----------+-----------------+
3 rows in set, 1 warning (0.00 sec)

DEPENDENT UNION

与 UNION 相同,它出现在 UNION 或 UNION ALL语句中,但是此查询受外部查询的影响

| UNION RESULT union_result Result of a UNION.
| SUBQUERY None First SELECT in subquery
| DEPENDENT SUBQUERY dependent (true) First SELECT in subquery, dependent on outer query
| DERIVED None Derived table
| MATERIALIZED materialized_from_subquery Materialized subquery
| UNCACHEABLE SUBQUERY cacheable (false) A subquery for which the result cannot be cached and must be re-evaluated for each row of the outer query
| UNCACHEABLE UNION cacheable (false) The second or later select in a UNION that belongs to an uncacheable subquery (see UNCACHEABLE SUBQUERY)

总结

到此这篇关于MySQL EXPLAIN输出列的文章就介绍到这了,更多相关MySQL EXPLAIN输出列内容请搜索三水点靠木以前的文章或继续浏览下面的相关文章希望大家以后多多支持三水点靠木!

MySQL 相关文章推荐
MySQL安装后默认自带数据库的作用详解
Apr 27 MySQL
MySql学习笔记之事务隔离级别详解
May 12 MySQL
MySQL 使用事件(Events)完成计划任务
May 24 MySQL
如何设计高效合理的MySQL查询语句
May 26 MySQL
MySQL中distinct与group by之间的性能进行比较
May 26 MySQL
浅谈mysql返回Boolean类型的几种情况
Jun 04 MySQL
新手入门Mysql--sql执行过程
Jun 20 MySQL
Node-Red实现MySQL数据库连接的方法
Aug 07 MySQL
解析MySQL索引的作用
Mar 03 MySQL
MySQL Server 层四个日志
Mar 31 MySQL
MySQL控制流函数(-if ,elseif,else,case...when)
Jul 07 MySQL
MySQL 分页查询的优化技巧
May 12 #MySQL
MySql学习笔记之事务隔离级别详解
MySQL 分组查询的优化方法
May 12 #MySQL
JDBC连接的六步实例代码(与mysql连接)
May 12 #MySQL
MySQL索引知识的一些小妙招总结
MySQL COUNT函数的使用与优化
May 10 #MySQL
解读MySQL的客户端和服务端协议
You might like
完美解决JS中汉字显示乱码问题(已解决)
2006/12/27 Javascript
JavaScript在IE和Firefox(火狐)的不兼容问题解决方法小结
2010/04/13 Javascript
Extjs EditorGridPanel中ComboBox列的显示问题
2011/07/04 Javascript
深入探密Javascript数组方法
2015/01/08 Javascript
javascript实现控制div颜色
2015/07/07 Javascript
JS表单数据验证的正则表达式(常用)
2017/02/18 Javascript
jQuery快速高效制作网页交互特效
2017/02/24 Javascript
深入浅析vue组件间事件传递
2017/12/29 Javascript
使用javascript做在线算法编程
2018/05/25 Javascript
详解操作虚拟dom模拟react视图渲染
2018/07/25 Javascript
开发用到的js封装方法(20种)
2018/10/12 Javascript
js中的深浅拷贝问题简析
2019/05/10 Javascript
多个vue子路由文件自动化合并的方法
2019/09/03 Javascript
Vue+abp微信扫码登录的实现代码示例
2020/01/06 Javascript
基于vue+echarts 数据可视化大屏展示的方法示例
2020/03/09 Javascript
动态创建类实例代码
2009/10/07 Python
用Python实现通过哈希算法检测图片重复的教程
2015/04/02 Python
通过Python来使用七牛云存储的方法详解
2015/08/07 Python
基于Python实现的微信好友数据分析
2018/02/26 Python
用python处理MS Word的实例讲解
2018/05/08 Python
matplotlib 输出保存指定尺寸的图片方法
2018/05/24 Python
numpy 返回函数的上三角矩阵实例
2019/11/25 Python
selenium+python实现自动登陆QQ邮箱并发送邮件功能
2019/12/13 Python
python深copy和浅copy区别对比解析
2019/12/26 Python
python实现Pyecharts实现动态地图(Map、Geo)
2020/03/25 Python
Python远程方法调用实现过程解析
2020/07/28 Python
python中通过pip安装库文件时出现“EnvironmentError: [WinError 5] 拒绝访问”的问题及解决方案
2020/08/11 Python
Bobbi Brown芭比波朗美国官网:化妆师专业彩妆保养品品牌
2016/08/18 全球购物
GNC健安喜官方海外旗舰店:美国著名保健品牌
2017/01/04 全球购物
如果让你测试一台高速激光打印机,你都会进行哪些测试
2012/12/04 面试题
晚宴邀请函范文
2014/01/15 职场文书
数控技校生自我鉴定
2014/04/19 职场文书
社保委托书怎么写
2014/08/02 职场文书
单位法人授权委托书范本
2014/10/09 职场文书
优秀大学生事迹材料
2014/12/24 职场文书
实验心得体会范文
2016/01/25 职场文书