MySQL执行计划解析看这篇就够了

   日期:2020-08-31     浏览:93    评论:0    
核心提示:现实开发中,为了优化SQL,需要了解SQL语句的具体执行过程,可以使用explain+SQL语句来模拟优化器执行SQL查询语句,从而知道MySQL是如何处理SQL语句的。mysql> explain select * from staffs;+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------+| id | select_

现实开发中,为了优化SQL,需要了解SQL语句的具体执行过程,可以使用explain+SQL语句来模拟优化器执行SQL查询语句,从而知道MySQL是如何处理SQL语句的。

mysql> explain select * from staffs;
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------+
| id | select_type | table  | partitions | type | possible_keys | key  | key_len | ref  | rows | filtered | Extra |
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------+
|  1 | SIMPLE      | staffs | NULL       | ALL  | NULL          | NULL | NULL    | NULL |    1 |   100.00 | NULL  |
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------+

执行计划中包含的信息

列名 含义
id SELECT查询序列号
select_type 查询类型
table 表名
partitions 匹配分区
type 访问类型
possible_keys 可能的索引选择
key 实际使用的索引
key_len 索引中使用的字节数
ref 与索引做比较的列
rows 估算找出所需记录需要读取的行数
filtered 按表条件过滤的行百分比
Extra 附加信息

重点看下面5个属性:

1.type

type显示的是访问类型,访问类型表示我是以何种方式去访问我们的数据,最容易想的是全表扫描,直接暴力的遍历一张表去寻找需要的数据,效率非常低下,访问的类型有很多,效率从最好到最坏依次是:

system > const > eq_ref > ref > fulltext > ref_or_null > index_merge > unique_subquery > index_subquery > range > index > ALL

常见情况排序:

const(表最多有一个匹配行) > ref(使用非唯一索引进行数据查找)> range(利用索引查询限制了范围) > index(全索引扫描)> ALL(全表扫描)

一般情况下,得保证查询至少达到range级别,最好能达到ref

2.key

实际使用的索引,如果为null,则没有使用索引,查询中若使用了覆盖索引,则该索引和查询的select字段重叠

3.key_len

表示索引中使用的字节数,可以通过key_len计算查询中使用的索引长度,在不损失精度的情况下长度越短越好

以上图为例介绍下key_len的计算方法:

  • 列是否为空: NULL(+1) || NOT NULL(+0)
  • 字符集: 如 utf8mb4=4 || utf8=3 || gbk=2 || latin1=1
  • 列类型是否为变长字符:varchar(+2) || char(+0)

所以上面key_len = (24 + 20) * 3 + 4 + 2 * 2 = 140

4.rows

根据表的统计信息及索引使用情况,大致估算出找出所需记录需要读取的行数,此参数很重要,直接反应sql找了多少数据,在完成目的的情况下越少越好

5.Extra

列出几种Extra的可能情况:

mysql> show index from staffs;
+--------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table  | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+--------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| staffs |          0 | PRIMARY  |            1 | id          | A         |           0 |     NULL | NULL   |      | BTREE      |         |               |
| staffs |          1 | idx_nap  |            1 | name        | A         |           0 |     NULL | NULL   |      | BTREE      |         |               |
| staffs |          1 | idx_nap  |            2 | age         | A         |           0 |     NULL | NULL   |      | BTREE      |         |               |
| staffs |          1 | idx_nap  |            3 | pos         | A         |           0 |     NULL | NULL   |      | BTREE      |         |               |
+--------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+-

–Using filesort:说明mysql无法利用索引进行排序,只能利用排序算法进行排序,会消耗额外的位置

mysql> explain select * from staffs order by add_time;
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+----------------+
| id | select_type | table  | partitions | type | possible_keys | key  | key_len | ref  | rows | filtered | Extra          |
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+----------------+
|  1 | SIMPLE      | staffs | NULL       | ALL  | NULL          | NULL | NULL    | NULL |    1 |   100.00 | Using filesort |
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+----------------+

–Using temporary:建立临时表来保存中间结果,查询完成之后把临时表删除
–Using index condition:会先条件过滤索引,过滤完索引后找到所有符合索引条件的数据行,随后用 WHERe 子句中的其他条件去过滤这些数据行

mysql> explain select * from staffs where name = 'July' and pos > 25;
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+-----------------------+
| id | select_type | table  | partitions | type | possible_keys | key     | key_len | ref   | rows | filtered | Extra                 |
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+-----------------------+
|  1 | SIMPLE      | staffs | NULL       | ref  | idx_nap       | idx_nap | 74      | const |    1 |   100.00 | Using index condition |
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+-----------------------+

–Using index:这个表示当前的查询时覆盖索引的,直接从索引中读取数据,而不用访问数据表。如果同时出现using where 表名索引被用来执行索引键值的查找,如果没有,表面索引被用来读取数据,而不是真的查找

mysql> explain select name,age,pos from staffs where name = 'July';
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+-------------+
| id | select_type | table  | partitions | type | possible_keys | key     | key_len | ref   | rows | filtered | Extra       |
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+-------------+
|  1 | SIMPLE      | staffs | NULL       | ref  | idx_nap       | idx_nap | 74      | const |    1 |   100.00 | Using index |
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+-------------+
mysql> explain select name,age,pos from staffs where name = 'July' and age > 20 and pos = 'dev';
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+--------------------------+
| id | select_type | table  | partitions | type | possible_keys | key     | key_len | ref   | rows | filtered | Extra                    |
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+--------------------------+
|  1 | SIMPLE      | staffs | NULL       | ref  | idx_nap       | idx_nap | 74      | const |    1 |   100.00 | Using where; Using index |
+----+-------------+--------+------------+------+---------------+---------+---------+-------+------+----------+--------------------------+

–Using where:使用where进行条件过滤

mysql> explain select * from staffs where age > 20;
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------------+
| id | select_type | table  | partitions | type | possible_keys | key  | key_len | ref  | rows | filtered | Extra       |
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------------+
|  1 | SIMPLE      | staffs | NULL       | ALL  | NULL          | NULL | NULL    | NULL |    1 |   100.00 | Using where |
+----+-------------+--------+------------+------+---------------+------+---------+------+------+----------+-------------+

–Using join buffer:使用连接缓存
–impossible where:where语句的结果总是false

mysql> explain select * from staffs where name = 'a' and name = 'b';
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+------------------+
| id | select_type | table | partitions | type | possible_keys | key  | key_len | ref  | rows | filtered | Extra            |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+------------------+
|  1 | SIMPLE      | NULL  | NULL       | NULL | NULL          | NULL | NULL    | NULL | NULL |     NULL | Impossible WHERe |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+------------------+
 
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