是怎么样的SQL优化能做到 900W+数据，从17s到300ms？
Java专栏
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·
2022-01-20 01:06
作者: Muscleape
来源: jianshu.com/p/0768ebc4e28d
操作： 查询条件放到子查询中，子查询只查主键ID，然后使用子查询中确定的主键关联查询其他的属性字段； 原理：
减少回表操作； 可参考《阿里巴巴Java开发手册（泰山版）》第五章-MySQL数据库、（二）索引规约、第7条： 【推荐】利用延迟关联或者子查询优化超多分页场景。 说明：MySQL并不是挑过offeset行，而是取offset+N行，然后返回放弃前offset行，返回N行，那当offset特别大的时候，效率就非常的底下，要么控制返回的总页数，要么对超过特定阈值的页数进行SQL改写。 正例：先快速定位需要获取的id段，然后再关联： SELECT a.* FROM 表1 a,(select id from 表1 where 条件 LIMIT 100000,20) b where a.id = b.id;
-- 优化前SQL
SELECT 各种字段
FROM `table_name`
WHERE 各种条件
LIMIT 0,10;
-- 优化后SQL
SELECT 各种字段
FROM `table_name` main_tale
RIGHT JOIN
(
SELECT 子查询只查主键
FROM `table_name`
WHERE 各种条件
LIMIT 0,10;
) temp_table ON temp_table.主键 = main_table.主键
Part1前言
mysql> select version();
+-----------+
| version() |
+-----------+
| 5.7.17 |
+-----------+
1 row in set (0.00 sec)
mysql> desc test;
+--------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------+---------------------+------+-----+---------+----------------+
| id | bigint(20) unsigned | NO | PRI | NULL | auto_increment |
| val | int(10) unsigned | NO | MUL | 0 | |
| source | int(10) unsigned | NO | | 0 | |
+--------+---------------------+------+-----+---------+----------------+
3 rows in set (0.00 sec)
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 5242882 |
+----------+
1 row in set (4.25 sec)
mysql> select * from test where val=4 limit 300000,5;
+---------+-----+--------+
| id | val | source |
+---------+-----+--------+
| 3327622 | 4 | 4 |
| 3327632 | 4 | 4 |
| 3327642 | 4 | 4 |
| 3327652 | 4 | 4 |
| 3327662 | 4 | 4 |
+---------+-----+--------+
5 rows in set (15.98 sec)
mysql> select * from test a inner join (select id from test where val=4 limit 300000,5) b on a.id=b.id;
+---------+-----+--------+---------+
| id | val | source | id |
+---------+-----+--------+---------+
| 3327622 | 4 | 4 | 3327622 |
| 3327632 | 4 | 4 | 3327632 |
| 3327642 | 4 | 4 | 3327642 |
| 3327652 | 4 | 4 | 3327652 |
| 3327662 | 4 | 4 | 3327662 |
+---------+-----+--------+---------+
5 rows in set (0.38 sec)
Part2证实
select * from test where val=4 limit 300000,5是扫描300005个索引节点和300005个聚簇索引上的数据节点，我们需要知道MySQL有没有办法统计在一个sql中通过索引节点查询数据节点的次数。我先试了Handler_read_*系列，很遗憾没有一个变量能满足条件。select * from test a inner join (select id from test where val=4 limit 300000,5); 之后，buffer pool中的数据页的数量远远少于select * from test where val=4 limit 300000,5;对应的数量，因为前一个sql只访问5次数据页，而后一个sql访问300005次数据页。select * from test where val=4 limit 300000,5mysql> select index_name,count(*) from information_schema.INNODB_BUFFER_PAGE where INDEX_NAME in('val','primary') and TABLE_NAME like '%test%' group by index_name;Empty set (0.04 sec)
mysql> select * from test where val=4 limit 300000,5;
+---------+-----+--------+
| id | val | source |
+---------+-----+--------+|
3327622 | 4 | 4 |
| 3327632 | 4 | 4 |
| 3327642 | 4 | 4 |
| 3327652 | 4 | 4 |
| 3327662 | 4 | 4 |
+---------+-----+--------+
5 rows in set (26.19 sec)
mysql> select index_name,count(*) from information_schema.INNODB_BUFFER_PAGE where INDEX_NAME in('val','primary') and TABLE_NAME like '%test%' group by index_name;
+------------+----------+
| index_name | count(*) |
+------------+----------+
| PRIMARY | 4098 |
| val | 208 |
+------------+----------+2 rows in set (0.04 sec)
select * from test a inner join (select id from test where val=4 limit 300000,5) ;为了防止上次试验的影响，我们需要清空buffer pool，重启mysql。mysqladmin shutdown
/usr/local/bin/mysqld_safe &
mysql> select index_name,count(*) from information_schema.INNODB_BUFFER_PAGE where INDEX_NAME in('val','primary') and TABLE_NAME like '%test%' group by index_name;
Empty set (0.03 sec)
mysql> select * from test a inner join (select id from test where val=4 limit 300000,5) b on a.id=b.id;
+---------+-----+--------+---------+
| id | val | source | id |
+---------+-----+--------+---------+
| 3327622 | 4 | 4 | 3327622 |
| 3327632 | 4 | 4 | 3327632 |
| 3327642 | 4 | 4 | 3327642 |
| 3327652 | 4 | 4 | 3327652 |
| 3327662 | 4 | 4 | 3327662 |
+---------+-----+--------+---------+
5 rows in set (0.09 sec)
mysql> select index_name,count(*) from information_schema.INNODB_BUFFER_PAGE where INDEX_NAME in('val','primary') and TABLE_NAME like '%test%' group by index_name;
+------------+----------+
| index_name | count(*) |
+------------+----------+
| PRIMARY | 5 |
| val | 390 |
+------------+----------+
2 rows in set (0.03 sec)
Part3
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