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执行update语句,用没用到索引,区别大吗?

作者:互联网

前言:

我们都知道,当执行 select 查询语句时,用没用到索引区别是很大的,若没用到索引,一条 select 语句可能执行好几秒或更久,若使用到索引则可能瞬间完成。那么当执行 update 语句时,用没用到索引有什么区别呢,执行时间相差大吗?本篇文章我们一起来探究下。

1. update SQL 测试

为了对比出差距,这里笔者创建两张一样数据的大表,一张有普通索引,一张无普通索引,我们来对比下二者的差别。

# tb_noidx 表无普通索引
mysql> show create table tb_noidx\G
*************************** 1. row ***************************
       Table: tb_noidx
Create Table: CREATE TABLE `tb_noidx` (
  `increment_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增主键',
  `col1` char(32) NOT NULL COMMENT '字段1',
  `col2` char(32) NOT NULL COMMENT '字段2',
  ...
  `del` tinyint(4) NOT NULL DEFAULT '0' COMMENT '是否删除',
) ENGINE=InnoDB AUTO_INCREMENT=3696887 DEFAULT CHARSET=utf8 COMMENT='无索引表'

mysql> select count(*) from tb_noidx;
+----------+
| count(*) |
+----------+
|  3590105 |
+----------+

mysql> select concat(round(sum(data_length/1024/1024),2),'MB') as data_length_MB, concat(round(sum(index_length/1024/1024),2),'MB') as index_length_MB
    -> from information_schema.tables where table_schema='testdb' and table_name = 'tb_noidx'; 
+----------------+-----------------+
| data_length_MB | index_length_MB |
+----------------+-----------------+
| 841.98MB       | 0.00MB          |
+----------------+-----------------+

# tb_withidx 表有普通索引
mysql> show create table tb_withidx\G
*************************** 1. row ***************************
       Table: tb_withidx
Create Table: CREATE TABLE `tb_withidx` (
  `increment_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增主键',
  `col1` char(32) NOT NULL COMMENT '字段1',
  `col2` char(32) NOT NULL COMMENT '字段2',
  ...
  `del` tinyint(4) NOT NULL DEFAULT '0' COMMENT '是否删除',
  PRIMARY KEY (`increment_id`),
  KEY `idx_col1` (`col1`),
  KEY `idx_del` (`del`)
) ENGINE=InnoDB AUTO_INCREMENT=3696887 DEFAULT CHARSET=utf8 COMMENT='有索引表'

mysql> select count(*) from tb_withidx;
+----------+
| count(*) |
+----------+
|  3590105 |
+----------+

mysql> select concat(round(sum(data_length/1024/1024),2),'MB') as data_length_MB, concat(round(sum(index_length/1024/1024),2),'MB') as index_length_MB
    -> from information_schema.tables where table_schema='testdb' and table_name = 'tb_withidx'; 
+----------------+-----------------+
| data_length_MB | index_length_MB |
+----------------+-----------------+
| 841.98MB       | 210.50MB        |
+----------------+-----------------+

这里说明下,tb_noidx 和 tb_withidx 两张表数据完全相同,表大概有 360W 条数据,约占用 840M 空间。其中 col1 字段区分度较高,del 字段区分度很低,下面我们分别以这两个字段为筛选条件来执行 update 语句:

# 以 col1 字段为筛选条件 来更新 col2 字段
mysql> explain update tb_withidx set col2 = '48348a10d7794d269ecf10f9e3f20b52' where col1 = '48348a10d7794d269ecf10f9e3f20b52';
+----+-------------+------------+------------+-------+---------------+----------+---------+-------+------+----------+-------------+
| id | select_type | table      | partitions | type  | possible_keys | key      | key_len | ref   | rows | filtered | Extra       |
+----+-------------+------------+------------+-------+---------------+----------+---------+-------+------+----------+-------------+
|  1 | UPDATE      | tb_withidx | NULL       | range | idx_col1      | idx_col1 | 96      | const |    1 |   100.00 | Using where |
+----+-------------+------------+------------+-------+---------------+----------+---------+-------+------+----------+-------------+
1 row in set (0.00 sec)

mysql> update tb_withidx set col2 = '48348a10d7794d269ecf10f9e3f20b52' where col1 = '48348a10d7794d269ecf10f9e3f20b52';
Query OK, 1 row affected (0.01 sec)
Rows matched: 1  Changed: 1  Warnings: 0

mysql> explain update tb_noidx set col2 = '48348a10d7794d269ecf10f9e3f20b52' where col1 = '48348a10d7794d269ecf10f9e3f20b52';
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
| id | select_type | table    | partitions | type  | possible_keys | key     | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
|  1 | UPDATE      | tb_noidx | NULL       | index | NULL          | PRIMARY | 4       | NULL | 3557131 |   100.00 | Using where |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
1 row in set (0.00 sec)

mysql> update tb_noidx set col2 = '48348a10d7794d269ecf10f9e3f20b52' where col1 = '48348a10d7794d269ecf10f9e3f20b52';
Query OK, 1 row affected (13.29 sec)
Rows matched: 1  Changed: 1  Warnings: 0

# 以 col1 字段为筛选条件 来更新 col1 字段
mysql> explain update tb_withidx set col1 = 'col1aac4c0f07449c688af42886465b76b' where col1 = '95aac4c0f07449c688af42886465b76b';
+----+-------------+------------+------------+-------+---------------+----------+---------+-------+------+----------+------------------------------+
| id | select_type | table      | partitions | type  | possible_keys | key      | key_len | ref   | rows | filtered | Extra                        |
+----+-------------+------------+------------+-------+---------------+----------+---------+-------+------+----------+------------------------------+
|  1 | UPDATE      | tb_withidx | NULL       | range | idx_col1      | idx_col1 | 96      | const |    1 |   100.00 | Using where; Using temporary |
+----+-------------+------------+------------+-------+---------------+----------+---------+-------+------+----------+------------------------------+
1 row in set (0.01 sec)

mysql> update tb_withidx set col1 = 'col1aac4c0f07449c688af42886465b76b' where col1 = '95aac4c0f07449c688af42886465b76b';
Query OK, 1 row affected, 1 warning (0.01 sec)
Rows matched: 1  Changed: 1  Warnings: 0

mysql> explain update tb_noidx set col1 = 'col1aac4c0f07449c688af42886465b76b' where col1 = '95aac4c0f07449c688af42886465b76b';
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
| id | select_type | table    | partitions | type  | possible_keys | key     | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
|  1 | UPDATE      | tb_noidx | NULL       | index | NULL          | PRIMARY | 4       | NULL | 3557131 |   100.00 | Using where |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
1 row in set (0.01 sec)

mysql> update tb_noidx set col1 = 'col1aac4c0f07449c688af42886465b76b' where col1 = '95aac4c0f07449c688af42886465b76b';
Query OK, 1 row affected, 1 warning (13.15 sec)
Rows matched: 1  Changed: 1  Warnings: 0

# 以 del 字段为筛选条件 来更新 col2 字段
# del为0的大概203W条 del为1的大概155W条
mysql> select del,count(*) from tb_withidx GROUP BY del;
+-----+----------+
| del | count(*) |
+-----+----------+
| 0   |  2033080 |
| 1   |  1557025 |
+-----+----------+

mysql> explain update tb_withidx set col2 = 'col24c0f07449c68af42886465b76' where del = 0;
+----+-------------+------------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
| id | select_type | table      | partitions | type  | possible_keys | key     | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+------------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
|  1 | UPDATE      | tb_withidx | NULL       | index | idx_del       | PRIMARY | 4       | NULL | 3436842 |   100.00 | Using where |
+----+-------------+------------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
1 row in set (0.00 sec)

mysql> update tb_withidx set col2 = 'col24c0f07449c68af42886465b76' where del = 0;
Query OK, 2033080 rows affected (47.15 sec)
Rows matched: 2033080  Changed: 2033080  Warnings: 0

mysql> explain update tb_noidx set col2 = 'col24c0f07449c68af42886465b76' where del = 0;
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
| id | select_type | table    | partitions | type  | possible_keys | key     | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
|  1 | UPDATE      | tb_noidx | NULL       | index | NULL          | PRIMARY | 4       | NULL | 3296548 |   100.00 | Using where |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
1 row in set (0.00 sec)

mysql> update tb_noidx set col2 = 'col24c0f07449c68af42886465b76' where del = 0;
Query OK, 2033080 rows affected (49.79 sec)
Rows matched: 2033080  Changed: 2033080  Warnings: 0

# 以 del 字段为筛选条件 来更新 del 字段
mysql> explain update tb_withidx set del = 2 where del = 0;                                      
+----+-------------+------------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
| id | select_type | table      | partitions | type  | possible_keys | key     | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+------------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
|  1 | UPDATE      | tb_withidx | NULL       | index | idx_del       | PRIMARY | 4       | NULL | 3436842 |   100.00 | Using where |
+----+-------------+------------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
1 row in set (0.03 sec)

mysql> update tb_withidx set del = 2 where del = 0;
Query OK, 2033080 rows affected (2 min 34.96 sec)
Rows matched: 2033080  Changed: 2033080  Warnings: 0

mysql> explain update tb_noidx set del = 2 where del = 0;  
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
| id | select_type | table    | partitions | type  | possible_keys | key     | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
|  1 | UPDATE      | tb_noidx | NULL       | index | NULL          | PRIMARY | 4       | NULL | 3296548 |   100.00 | Using where |
+----+-------------+----------+------------+-------+---------------+---------+---------+------+---------+----------+-------------+
1 row in set (0.00 sec)

mysql>  update tb_noidx set del = 2 where del = 0; 
Query OK, 2033080 rows affected (50.57 sec)
Rows matched: 2033080  Changed: 2033080  Warnings: 0

从以上实验大致可以看出,是否用到索引,对于 update 语句执行速度影响还是很大的,具体表现如下:

2.一些经验总结

我们试着来解释下以上实验结果,首先来看下 update SQL 执行流程,大致如下:

  1. 首先客户端发送请求到服务端,建立连接。
  2. 服务端先看下查询缓存,对于更新某张表的 SQL ,该表的所有查询缓存都失效。
  3. 接着来到解析器,进行语法分析,一些系统关键字校验,校验语法是否合规。
  4. 然后优化器进行 SQL 优化,比如怎么选择索引之类,然后生成执行计划。
  5. 执行器去存储引擎查询需要更新的数据。
  6. 存储引擎判断当前缓冲池中是否存在需要更新的数据,存在就直接返回,否则去从磁盘加载数据。
  7. 执行器调用存储引擎 API 去更新数据。
  8. 存储器更新数据,同时写入 undo log 、redo log 信息。
  9. 执行器写 binlog ,提交事务,流程结束。

也就是说,执行更新语句首先需要将被更新的记录查询出来,这也就不难理解为啥以区分度较高的字段为筛选条件进行更新,有索引的情况下执行更快。

对于区分度很低的字段,用没用到索引则区别不大,原因是查询出将被更新的记录所需时间差别不大,需要扫描的行数差别不大。当更新区分度很低的字段的字段时,因为要维护索引 b+ 树,所以会拖慢更新速度。

之前也有讲过,虽然索引能加速查询,但索引也是有缺点的,那就是索引需要动态的维护,当对表中的数据进行增加、删除、修改时,会降低数据的维护速度。本次实验结果也能论证这个结论。

通过本次实验,我们也能得到一些索引相关经验:

标签:语句,set,tb,update,col1,没用到,del,NULL,where
来源: https://www.cnblogs.com/mysqljs/p/15234391.html