作者：蒋乐兴

MySQL DBA，擅长 python 和 SQL，目前维护着 github 的两个开源项目：mysqltools 、dbmc 以及独立博客：https://www.sqlpy.com。

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MRR 要解决的问题

环境准备

-- 创建表
mysql> show create table t;
+----------------------------------------------------------------------+
| Table | Create Table                                                                                                                                                                                                                                                                                                                                                                               |
+----------------------------------------------------------------------+
| t     | CREATE TABLE `t` (
  `id` int NOT NULL AUTO_INCREMENT,
  `i0` int NOT NULL,
  `i1` int NOT NULL,
  `i2` int NOT NULL,
  `i3` int NOT NULL,
  `c0` varchar(128) NOT NULL,
  `c1` varchar(128) NOT NULL,
  `f0` float NOT NULL,
  `f1` float NOT NULL,
  PRIMARY KEY (`id`),
  KEY `idx_i0` (`i0`)
) ENGINE=InnoDB
+----------------------------------------------------------------------+
1 row in set (0.00 sec)

-- 造数据
mysql> select count(*) from t;
+----------+
| count(*) |
+----------+
|  1120000 |
+----------+
1 row in set (0.77 sec)

--
update t set i0 = id % 100;

MRR 的优化效果

1. 有 MRR 优化（Using MRR）时 SQL 的耗时情况。

mysql> explain select i0,i3 from t where i0 between 1 and 2;
+----+-------------+-------+------------+-------+---------------+--------+---------+------+-------+----------+----------------------------------+
| id | select_type | table | partitions | type  | possible_keys | key    | key_len | ref  | rows  | filtered | Extra                            |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+-------+----------+----------------------------------+
|  1 | SIMPLE      | t     | NULL       | range | idx_i0        | idx_i0 | 4       | NULL | 43968 |   100.00 | Using index condition; Using MRR |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+-------+----------+----------------------------------+
1 row in set, 1 warning (0.00 sec)

mysql> select i0,i3 from t where i0 between 1 and 2;
22400 rows in set (0.80 sec)

2. 关闭 MRR 优化。

set optimizer_switch = 'index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on,engine_condition_pushdown=on,index_condition_pushdown=on,mrr=off,mrr_cost_based=on,block_nested_loop=on,batched_key_access=off,materialization=on,semijoin=on,loosescan=on,firstmatch=on,duplicateweedout=on,subquery_materialization_cost_based=on,use_index_extensions=on,condition_fanout_filter=on,derived_merge=on,use_invisible_indexes=off,skip_scan=on,hash_join=on';

mysql> explain select i0,i3 from t where i0 between 1 and 2;
+----+-------------+-------+------------+-------+---------------+--------+---------+------+-------+----------+-----------------------+
| id | select_type | table | partitions | type  | possible_keys | key    | key_len | ref  | rows  | filtered | Extra                 |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+-------+----------+-----------------------+
|  1 | SIMPLE      | t     | NULL       | range | idx_i0        | idx_i0 | 4       | NULL | 43968 |   100.00 | Using index condition |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+-------+----------+-----------------------+
1 row in set, 1 warning (0.00 sec)

mysql> select i0,i3 from t where i0 between 1 and 2;
22400 rows in set (2.56 sec)

结论

就刚才的测试场景开启 MRR 优化可以得到 3 倍的性能提升。

MRR 的优化器参数调整

如果想关闭 MRR 优化的话，就要把优化器开关 mrr 设置为 off。

默认只有在优化器认为 MRR 可以带来优化的情况下才会走 MRR，如果你想不管什么时候能走 MRR 的都走 MRR 的话，你要把 mrr_cost_based 设置为 off，不过最好不要这么干，因为这确实是一个坑，MRR 不一定什么时候都好，全表扫描有时候会更加快，如果在这种场景下走 MRR 就完成了。

开启 MRR 关闭基于开销的优化。

-- mrr=on,mrr_cost_based=off
set optimizer_switch = 'index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on,engine_condition_pushdown=on,index_condition_pushdown=on,mrr=on,mrr_cost_based=off,block_nested_loop=on,batched_key_access=off,materialization=on,semijoin=on,loosescan=on,firstmatch=on,duplicateweedout=on,subquery_materialization_cost_based=on,use_index_extensions=on,condition_fanout_filter=on,derived_merge=on,use_invisible_indexes=off,skip_scan=on,hash_join=on';

mysql> explain select i0,i3 from t where i0 between 1 and  10;
+----+-------------+-------+------------+-------+---------------+--------+---------+------+--------+----------+----------------------------------+
| id | select_type | table | partitions | type  | possible_keys | key    | key_len | ref  | rows   | filtered | Extra                            |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+--------+----------+----------------------------------+
|  1 | SIMPLE      | t     | NULL       | range | idx_i0        | idx_i0 | 4       | NULL | 218492 |   100.00 | Using index condition; Using MRR |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+--------+----------+----------------------------------+
1 row in set, 1 warning (0.00 sec)

select i0,i3 from t where i0 between 1 and  10;
112000 rows in set (4.86 sec)

开启 MRR 开启基于开销的优化。

-- mrr=on,mrr_cost_based=on
set optimizer_switch = 'index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on,engine_condition_pushdown=on,index_condition_pushdown=on,mrr=on,mrr_cost_based=on,block_nested_loop=on,batched_key_access=off,materialization=on,semijoin=on,loosescan=on,firstmatch=on,duplicateweedout=on,subquery_materialization_cost_based=on,use_index_extensions=on,condition_fanout_filter=on,derived_merge=on,use_invisible_indexes=off,skip_scan=on,hash_join=on';

mysql> explain select i0,i3 from t where i0 between 1 and  10;
+----+-------------+-------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | t     | NULL       | ALL  | idx_i0        | NULL | NULL    | NULL | 1121902 |    19.48 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

mysql> select i0,i3 from t where i0 between 1 and  10;
112000 rows in set (1.52 sec)

可以看到当 mrr_cost_based = OFF 的情况下用时 4.86s，mrr_cost_based = ON 的情况下用时 1.52s，总的来说 mrr_cost_based 是非常关键的建议始终打开。

MRR 的参数优化

MRR 要把主键排个序，这样之后对磁盘的操作就是由顺序读代替之前的随机读。从资源的使用情况上来看就是让 CPU 和内存多做点事，来换磁盘的顺序读。然而排序是需要内存的，这块内存的大小就由参数 read_rnd_buffer_size 来控制。

read_rnd_buffer_size 太小无法启用 MRR 功能。

mysql> select @@read_rnd_buffer_size;
+------------------------+
| @@read_rnd_buffer_size |
+------------------------+
|                 262144 |
+------------------------+
1 row in set (0.00 sec)

mysql> explain select i0,i3 from t where i0 between 1 and  12;
+----+-------------+-------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | t     | NULL       | ALL  | idx_i0        | NULL | NULL    | NULL | 1121902 |    23.57 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

放大 read_rnd_buffer_size 让 MySQL 有足够的资源用于 MRR 。

mysql> set read_rnd_buffer_size = 32 * 1024 * 1024;
Query OK, 0 rows affected (0.00 sec)

mysql> explain select i0,i3 from t where i0 between 1 and  12;
+----+-------------+-------+------------+-------+---------------+--------+---------+------+--------+----------+----------------------------------+
| id | select_type | table | partitions | type  | possible_keys | key    | key_len | ref  | rows   | filtered | Extra                            |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+--------+----------+----------------------------------+
|  1 | SIMPLE      | t     | NULL       | range | idx_i0        | idx_i0 | 4       | NULL | 264436 |   100.00 | Using index condition; Using MRR |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+--------+----------+----------------------------------+
1 row in set, 1 warning (0.00 sec)