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Mysql系列-性能优化神器EXPLAIN使用介绍及分析

时间:2019-05-26 14:30:37      阅读:127      评论:0      收藏:0      [点我收藏+]

标签:使用介绍   成功   命令   xpl   ddr   reference   cte   state   接下来   

简介

 MySQL 提供了一个 EXPLAIN 命令, 它可以对 SELECT 语句进行分析, 并输出 SELECT 执行的详细信息, 以供开发人员针对性优化。

 EXPLAIN 命令用法十分简单, 在 SELECT 语句前加上 Explain 就可以了, 例如:

EXPLAIN SELECT * from user_info WHERE id < 300;

下面是我结合我自己创建的表以及执行相关sql语句总结的相关知识点。

准备

为了接下来方便演示 EXPLAIN 的使用, 首先我们需要建立两个测试用的表, 并添加相应的数据:

DROP TABLE IF EXISTS `customers`;
CREATE TABLE `customers`  (
  `customerNumber` int(11) NOT NULL,
  `customerName` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `contactLastName` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `contactFirstName` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `phone` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `addressLine1` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `addressLine2` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `city` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `state` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `postalCode` varchar(15) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `country` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `salesRepEmployeeNumber` int(11) NULL DEFAULT NULL,
  `creditLimit` decimal(10, 2) NULL DEFAULT NULL,
  PRIMARY KEY (`customerNumber`) USING BTREE,
  INDEX `salesRepEmployeeNumber`(`salesRepEmployeeNumber`) USING BTREE,
  INDEX `customers_idx_combine_1`(`customerName`, `phone`, `customerNumber`) USING BTREE,
  CONSTRAINT `customers_ibfk_1` FOREIGN KEY (`salesRepEmployeeNumber`) REFERENCES `employees` (`employeeNumber`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

创建表成功后,插入一些测试数据。

EXPLAIN 输出格式

EXPLAIN 命令的输出内容大致如下:

mysql> EXPLAIN SELECT * FROM customers WHERE customerName=Herkku Gifts AND phone=+47 2267 3215 AND customerNumber=167;
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type  | possible_keys                   | key     | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
|  1 | SIMPLE      | customers | NULL       | const | PRIMARY,customers_idx_combine_1 | PRIMARY | 4       | const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

各列的含义如下:

  • id: SELECT 查询的标识符. 每个 SELECT 都会自动分配一个唯一的标识符
  • select_type: SELECT 查询的类型
  • table: 查询的是哪个表
  • partitions: 匹配的分区
  • type: join 类型
  • possible_keys: 此次查询中可能选用的索引
  • key: 此次查询中确切使用到的索引
  • ken_len: 表示查询优化器使用了索引的字节数
  • ref: 哪个字段或常数与 key 一起被使用
  • rows: 显示此查询一共扫描了多少行. 这个是一个估计值.
  • filtered: 表示此查询条件所过滤的数据的百分比
  • extra: 额外的信息

接下来我们详细看一下每个字段的具体含义:

select_type

select_type 表示了查询的类型, 它的常用取值有:

  • SIMPLE:表示此查询不包含 UNION 查询或子查询

  • PRIMARY:表示此查询是最外层的查询

  • UNION:表示此查询是 UNION 的第二或随后的查询

  • DEPENDENT UNION:UNION 中的第二个或后面的查询语句, 取决于外面的查询

  • UNION RESULT:UNION 的结果

  • SUBQUERY:子查询中的第一个 SELECT

  • DEPENDENT SUBQUERY:子查询中的第一个 SELECT, 取决于外面的查询. 即子查询依赖于外层查询的结果

  • DERIVED:当子查询是from子句时,其select_type为DERIVED

最常见的查询类别应该是 SIMPLE 了, 比如当我们的查询没有子查询, 也没有 UNION 查询时, 那么通常就是 SIMPLE 类型, 例如:

1.SIMPLE 情况:

mysql> EXPLAIN SELECT * FROM customers WHERE customerName=Herkku Gifts AND phone=+47 2267 3215 AND customerNumber=167;
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type  | possible_keys                   | key     | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
|  1 | SIMPLE      | customers | NULL       | const | PRIMARY,customers_idx_combine_1 | PRIMARY | 4       | const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

 

2.UNION情况

  当通过union来连接多个查询结果时,第二个之后的select其select_type为UNION

mysql> EXPLAIN SELECT customerNumber FROM customers WHERE customerNumber IN (125,144) UNION SELECT customerNumber FROM customers WHERE country IN (USA,France);
+----+--------------+------------+------------+-------+---------------+---------+---------+------+------+----------+--------------------------+
| id | select_type  | table      | partitions | type  | possible_keys | key     | key_len | ref  | rows | filtered | Extra                    |
+----+--------------+------------+------------+-------+---------------+---------+---------+------+------+----------+--------------------------+
|  1 | PRIMARY      | customers  | NULL       | range | PRIMARY       | PRIMARY | 4       | NULL |    2 |   100.00 | Using where; Using index |
|  2 | UNION        | customers  | NULL       | ALL   | NULL          | NULL    | NULL    | NULL |  122 |    20.00 | Using where              |
| NULL | UNION RESULT | <union1,2> | NULL       | ALL   | NULL          | NULL    | NULL    | NULL | NULL |     NULL | Using temporary          |
+----+--------------+------------+------------+-------+---------------+---------+---------+------+------+----------+--------------------------+
3 rows in set, 1 warning (0.00 sec)

 

3.DEPENDENT UNION与DEPENDENT SUBQUERY

  当union作为子查询时,其中第二个union的select_type就是DEPENDENT UNION。第一个子查询的select_type则是DEPENDENT SUBQUERY

mysql> EXPLAIN SELECT * FROM customers WHERE customerNumber IN (SELECT customerNumber FROM customers WHERE customerNumber IN (125,144) UNION SELECT customerNumber FROM customers WHERE country IN (USA,France));
+----+--------------------+------------+------------+--------+---------------+---------+---------+------+------+----------+--------------------------+
| id | select_type        | table      | partitions | type   | possible_keys | key     | key_len | ref  | rows | filtered | Extra                    |
+----+--------------------+------------+------------+--------+---------------+---------+---------+------+------+----------+--------------------------+
|  1 | PRIMARY            | customers  | NULL       | ALL    | NULL          | NULL    | NULL    | NULL |  122 |   100.00 | Using where              |
|  2 | DEPENDENT SUBQUERY | customers  | NULL       | eq_ref | PRIMARY       | PRIMARY | 4       | func |    1 |   100.00 | Using where; Using index |
|  3 | DEPENDENT UNION    | customers  | NULL       | eq_ref | PRIMARY       | PRIMARY | 4       | func |    1 |    20.00 | Using where              |
| NULL | UNION RESULT       | <union2,3> | NULL       | ALL    | NULL          | NULL    | NULL    | NULL | NULL |     NULL | Using temporary          |
+----+--------------------+------------+------------+--------+---------------+---------+---------+------+------+----------+--------------------------+
4 rows in set, 1 warning (0.00 sec)

 

4.SUBQUERY

  子查询中的第一个select其select_type为SUBQUERY

mysql> EXPLAIN SELECT * FROM customers WHERE customerNumber=(SELECT customerNumber FROM customers WHERE customerNumber=124);
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
| id | select_type | table     | partitions | type  | possible_keys | key     | key_len | ref   | rows | filtered | Extra       |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
|  1 | PRIMARY     | customers | NULL       | const | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | NULL        |
|  2 | SUBQUERY    | customers | NULL       | const | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | Using index |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
2 rows in set, 1 warning (0.00 sec)

mysql> EXPLAIN SELECT * FROM customers WHERE customerNumber in (SELECT customerNumber FROM customers WHERE customerNumber=124);
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
| id | select_type | table     | partitions | type  | possible_keys | key     | key_len | ref   | rows | filtered | Extra       |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
|  1 | SIMPLE      | customers | NULL       | const | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | NULL        |
|  1 | SIMPLE      | customers | NULL       | const | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | Using index |
+----+-------------+-----------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
2 rows in set, 1 warning (0.00 sec)

思考下为什么一个用了in一个用了=反而select_type就不一样了????

 

5.DERIVED

mysql> EXPLAIN SELECT * FROM (SELECT COUNT(*) FROM customers WHERE customerNumber=124) a;
+----+-------------+------------+------------+--------+---------------+---------+---------+-------+------+----------+-------------+
| id | select_type | table      | partitions | type   | possible_keys | key     | key_len | ref   | rows | filtered | Extra       |
+----+-------------+------------+------------+--------+---------------+---------+---------+-------+------+----------+-------------+
|  1 | PRIMARY     | <derived2> | NULL       | system | NULL          | NULL    | NULL    | NULL  |    1 |   100.00 | NULL        |
|  2 | DERIVED     | customers  | NULL       | const  | PRIMARY       | PRIMARY | 4       | const |    1 |   100.00 | Using index |
+----+-------------+------------+------------+--------+---------------+---------+---------+-------+------+----------+-------------+
2 rows in set, 1 warning (0.00 sec)

 

table

表示查询涉及的表或衍生表

 

partitions 

匹配的分区

 

type

type 字段比较重要, 显示连接使用了何种类型。从最好到最差的连接类型依次分别为consteq_regrefrangeindexALL 它提供了判断查询是否高效的重要依据依据。

通过 type 字段, 我们判断此次查询是 全表扫描 还是 索引扫描 等。

 type显示的是访问类型,是较为重要的一个指标,结果值从好到坏依次是:system > const > eq_ref > ref > fulltext > ref_or_null > index_merge > unique_subquery > index_subquery > range > index > ALL
  一般来说,得保证查询至少达到range级别,最好能达到ref。

type 常用的取值有:

  system: 表中只有一条数据. 这个类型是特殊的 const 类型

  const: 针对主键或唯一索引的等值查询扫描, 最多只返回一行数据. const 查询速度非常快, 因为它仅仅读取一次即可。

  例如下面的这个查询, 它使用了主键索引, 因此 type 就是 const 类型的

mysql> EXPLAIN SELECT * FROM customers WHERE customerName=Herkku Gifts AND phone=+47 2267 3215 AND customerNumber=167;
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type  | possible_keys                   | key     | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
|  1 | SIMPLE      | customers | NULL       | const | PRIMARY,customers_idx_combine_1 | PRIMARY | 4       | const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+-------+---------------------------------+---------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

 

Mysql系列-性能优化神器EXPLAIN使用介绍及分析

标签:使用介绍   成功   命令   xpl   ddr   reference   cte   state   接下来   

原文地址:https://www.cnblogs.com/MrFiona/p/10925919.html

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