MySQL 大数据操作注意事项_MySQL

MySQL 大数据操作注意事项

http://netkiller.github.io/journal/mysql.parallel.html

Mr. Neo Chen (netkiller), 陈景峰(BG7NYT)

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文档出处: http://netkiller.github.io http://netkiller.sourceforge.net

2014-05-16

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目录

• 1. 关于 delete
• 2. 关于 update
• 3. 关于创建索引
• 4. 关于 OPTIMIZE
• 5. 确保SELECT不被受阻

1. 关于 delete

delete from mytable 必死无疑，你需要分批删除，尽量缩小每个批次删除的记录数，delete 是可以并行执行的，你可以同时运行多个删除操作

mysql> show processlist;+--------+-----------------+---------------------+-----------+---------+-------+-----------------------------+--------------------------------------------------------+| Id     | User            | Host                | db        | Command | Time  | State                       | Info                                                   |+--------+-----------------+---------------------+-----------+---------+-------+-----------------------------+--------------------------------------------------------+|      1 | event_scheduler | localhost           | NULL      | Daemon  |    52 | Waiting for next activation | NULL                                                   || 115986 | dba             | localhost           | example   | Query   |     0 | NULL                        | show processlist                                       || 117446 | dba             | localhost           | example   | Query   |    20 | updating                    | delete from mytable where OPEN_TIME like '2011.11.28%' || 117525 | dba             | localhost           | example   | Query   |     2 | updating                    | delete from mytable where OPEN_TIME like '2011.12.02%' || 117526 | dba             | localhost           | example   | Query   |    49 | updating                    | delete from mytable where OPEN_TIME like '2011.12.12%' || 117527 | dba             | localhost           | example   | Query   |     6 | updating                    | delete from mytable where OPEN_TIME like '2011.12.21%' || 117528 | dba             | localhost           | example   | Query   |    64 | updating                    | delete from mytable where OPEN_TIME like '2011.12.30%' || 117546 | dba             | localhost           | example   | Query   |    33 | updating                    | delete from mytable where OPEN_TIME like '2011.11.10%' |+--------+-----------------+---------------------+-----------+---------+-------+-----------------------------+--------------------------------------------------------+23 rows in set (0.00 sec)

2. 关于 update

在电商领域常常遇到一个问题“调价”，经常需要调整一批商品的价格, 程序猿一条预警搞定有没有？

update goods set price=price+10 where category_id = xxx

在开发，测试环境是可以通过测试的，一旦部署到生产环境，必死无疑

3. 关于创建索引

大表创建索引需要很久的时间，通常要经历 manage keys 与 copy to tmp table 的过程

mysql> show processlist;+--------+-----------------+---------------------+----------+---------+-------+-----------------------------+------------------------------------------------------------------+| Id     | User            | Host                | db       | Command | Time  | State                       | Info                                                             |+--------+-----------------+---------------------+----------+---------+-------+-----------------------------+------------------------------------------------------------------+|      1 | event_scheduler | localhost           | NULL     | Daemon  |    47 | Waiting for next activation | NULL                                                             || 115986 | dba             | localhost           | example  | Query   |     0 | NULL                        | show processlist                                                 || 118814 | dba             | 192.168.6.20:50459  | example  | Query   |     8 | copy to tmp table           | ALTER TABLE `mytable` ADD INDEX `modifiy_time` (`MODIFY_TIME`)   |+--------+-----------------+---------------------+----------+---------+-------+-----------------------------+------------------------------------------------------------------+17 rows in set (0.00 sec)

删除索引，也需要经理 copy to tmp table 过程，漫长的等待

mysql> show processlist;+--------+-----------------+---------------------+--------------+---------+-------+-----------------------------+-------------------------------------------------+| Id     | User            | Host                | db           | Command | Time  | State                       | Info                                            |+--------+-----------------+---------------------+--------------+---------+-------+-----------------------------+-------------------------------------------------+|      1 | event_scheduler | localhost           | NULL         | Daemon  |    11 | Waiting for next activation | NULL                                            || 115986 | dba             | localhost           | example      | Query   |     0 | NULL                        | show processlist                                || 118814 | dba             | 192.168.6.20:50459  | example      | Query   |     4 | copy to tmp table           | ALTER TABLE `mytable`	DROP INDEX `modifiy_time` |+--------+-----------------+---------------------+--------------+---------+-------+-----------------------------+-------------------------------------------------+17 rows in set (0.00 sec)

所以数据设计要深思熟虑，做到提前未雨绸缪，不要亡羊补牢

4. 关于 OPTIMIZE

OPTIMIZE 的操作是将当前表复制到临时表操作后再删除当前表，最后将临时表改名

mysql> show processlist;+--------+-----------------+---------------------+---------------------------+---------+-------+-----------------------------+--------------------------+| Id     | User            | Host                | db                        | Command | Time  | State                       | Info                     |+--------+-----------------+---------------------+---------------------------+---------+-------+-----------------------------+--------------------------+|      1 | event_scheduler | localhost           | NULL                      | Daemon  |    14 | Waiting for next activation | NULL                     || 115835 | dba             | 192.168.6.20:49664  | example                   | Query   |     9 | copy to tmp table           | OPTIMIZE TABLE `mytable` || 115986 | dba             | localhost           | example                   | Query   |     0 | NULL                        | show processlist         |+--------+-----------------+---------------------+---------------------------+---------+-------+-----------------------------+--------------------------+17 rows in set (0.00 sec)

5. 确保SELECT不被受阻

使用各种手段保证select操作不被受阻，只要select一直可以查询网站前端就能提供80%的功能，一旦select受阻一切都是浮云。

保证 select 操作优先于其他操作

UPDATE [LOW_PRIORITY] [IGNORE] tbl_name  SET col_name1=expr1 [, col_name2=expr2 ...]  [WHERE where_definition]  [ORDER BY ...]  [LIMIT row_count]

update的时候增加 LOW_PRIORITY 参数，可以降低更新语句的优先级。

my.cnf

[mysqld]		low_priority_updates=1

或者启动是添加--low-priority-updates参数

全局开启

SET @@global.low_priority_updates = 1;

适用于本次会话连接

SET @@session.low_priority_updates = 1;