Measuring the amount of writes in InnoDB redo logs
Choosing a good InnoDB log file size is key to InnoDB write performance. This can be done by measuring the amount of writes in the redo logs. You can find a detailed explanation in this post.
To sum up, here are the main points:
- The redo logs should be large enough to store at most an hour of logs at peak-time
- You can either use the LSN in the SHOW ENGINE INNODB STATUS OUTPUT or the Innodb_os_log_written global status variable (if you are a Percona Server user, the LSN is also given by the Innodb_lsn_current status variable)
While reviewing the recommendation I made for a customer, one of my colleagues told me I was wrong in my redo log size calculations. After each one double checked the calculations, it turned out that we experienced something not expected:
- Using Innodb_os_log_written, I found that around 7.15 GB of redo logs were written per hour
- Using the LSN, my colleague found 2.70 GB/hour (almost a 3x difference!)
Something was obviously wrong in our understanding of how to measure the amount of writes in the redo logs. Let’s first have a look at what the documentation says. It states that
- Innodb_os_log_written is the number of bytes written to the log file
- The LSN is an arbitrary, ever-increasing value [that] represents a point in time corresponding to operations recorded in the redo log
What is not obvious from the documentation is that while Innodb_os_log_written is incremented when the log file is written, the LSN is incremented when the log buffer is written.
This is interesting. It means that the durability setting can skew the results: if innodb_flush_log_at_trx_commit is set to 0, you can accidentally omit or add 1 second of write activity. Of course if you measure variations over 60s, this will not explain a 3x difference with the LSN. It also means that if the write workload is very non uniform, you can easily get very different numbers if you are not taking measures exactly at the same time for the 2 methods.
However, the write workload had not so much variance in my case. I also ran a test with a constant write workload (a mono-threaded script that inserts one row at a time in a table, as fast as it can) and I ended up with the same result: numbers were very different between the 2 methods. Even stranger, the innodb_os_log_written method consistently gave higher numbers than the LSN method, when we would have expected the opposite.
It was time for digging into the source code. All the credits should actually be given to Alexey Kopytov, who not only took the time to read the code again and to make tests, but who also caught something we all missed: writing to the redo logs and increasing the LSN have completely different logics.
The LSN simply shows the byte offset, so when you write 100 bytes to the log buffer, the LSN is increased by 100.
Writing to the redo logs is a much more complicated process: every write is a 512-byte write and there can be overlapping writes. Not clear? Let’s look at an example when innodb_flush_log_at_trx_commit is set to 1 or 2 (again, thanks Alexey):
- Transaction 1 writ+es 100 bytes to the log buffer
- At commit, InnoDB writes a 512-byte block at offset xxx and increments Innodb_os_log_written by 512 bytes
- Transaction 2 writes 200 bytes to the log buffer
- At commit, InnoDB appends those 200 bytes to the same log block and overwrites the same 512-byte file block at offset xxx, then increases Innodb_os_log_written by another 512 bytes
At this point, the LSN has increased by 300 and Innodb_os_log_written by 1024 (a 3x difference!). This means that the documentation is correct: Innodb_os_log_written is the number of bytes written to the redo logs. But it does not reflect the growth of the redo logs.
So when you are trying to size the redo logs, looking at the LSN variations is a much better approximation than looking at the Innodb_os_log_written variations, which can be significantly far from the reality. However keep in mind that even the LSN is an approximate metric: if your write workload is non uniform and your sampling interval too short, you may well underestimate or overestimate the growth of your redo logs.
-
The number of bytes written to the
InnoDBredo log files.
参考:
http://www.percona.com/blog/2012/10/08/measuring-the-amount-of-writes-in-innodb-redo-logs/
http://dev.mysql.com/doc/refman/5.6/en/server-status-variables.html#statvar_Innodb_os_log_written
Measuring the amount of writes in InnoDB redo logs的更多相关文章
- 14.7.2 Changing the Number or Size of InnoDB Redo Log Files 改变InnoDB Redo Log Files的数量和大小
14.7.2 Changing the Number or Size of InnoDB Redo Log Files 改变InnoDB Redo Log Files的数量和大小 改变 InnoDB ...
- 14.2.3 InnoDB Redo Log
14.2.3 InnoDB Redo Log 14.2.3.1 Group Commit for Redo Log Flushing redo log 是一个基于磁盘数据结构的用于在crash 恢复正 ...
- 14.5.2 Changing the Number or Size of InnoDB Redo Log Files 改变InnoDB Redo Log Files的数量
14.5.2 Changing the Number or Size of InnoDB Redo Log Files 改变InnoDB Redo Log Files的数量 改变InnoDB redo ...
- 调整innodb redo log files数目和大小的具体方法和步骤
相较于Oracle的在线调整redo日志的数目和大小,mysql这点则有所欠缺,即使目前的mysql80版本,也不能对innodb redo日志的数目和大小进行在线调整,下面仅就mysql调整inno ...
- MySQL · 引擎特性 · InnoDB redo log漫游(转)
前言 InnoDB 有两块非常重要的日志,一个是undo log,另外一个是redo log,前者用来保证事务的原子性以及InnoDB的MVCC,后者用来保证事务的持久性. 和大多数关系型数据库一样, ...
- 2. 更改InnoDB redo日志文件的数量或大小
2. 更改InnoDB redo日志文件的数量或大小 要更改InnoDB 重做日志文件的数量或大小,请执行以下步骤: 1)停止MySQL服务器,确保正常关闭且没有错误发生 2) 编辑my.cnf以更改 ...
- 14.5.7 Storing InnoDB Undo Logs in Separate Tablespaces 存储InnoDB Undo logs 到单独的表空间
14.5.7 Storing InnoDB Undo Logs in Separate Tablespaces 存储InnoDB Undo logs 到单独的表空间 在MySQL 5.6.3,你可以存 ...
- 14.2.4 InnoDB Undo Logs
14.2.4 InnoDB Undo Logs : 一个Undo log (或者成为回滚段) 是一个存储区域 持有被活动事务修改的数据的copy. 如果另外的事务需要看原始的数据(作为一致性读操作的一 ...
- Performing User-Managed Database-18.4、Restoring Datafiles and Archived Redo Logs
18.4.Restoring Datafiles and Archived Redo Logs 假定介质故障损坏的一个或多个数据文件,数据文件必须恢复损坏的文件之前恢复. 该位置是不是想恢复原来姿势. ...
随机推荐
- Linux/Unix 桌面趣事:文字模式下的 ASCII 艺术与注释绘画
boxes 命令不仅是一个文本过滤器,同时是一个很少人知道的有趣工具,它可以在输入的文本或者代码周围框上各种ASCII 艺术画.你可以用它快速创建邮件签名,或者在各种编程语言中留下评论块.这个命令可以 ...
- Ubuntu安装samba的问题
问题: root@ubuntu:~# apt-get install samba 正在读取软件包列表... 完成 正在分析软件包的依赖关系树 正在读取状态信息... 完成 有一些软件包无法被安装.如果 ...
- BZOJ 1042 硬币购物
先不考虑限制,那么有dp[i]表示i元钱的方案数. 然后考虑限制,发现可以容斥. 其实整个题就是两个容斥原理.感觉出的蛮好的. #include<iostream> #include< ...
- Swift URL Schemes使用
URL Schemes通常用于分享和第三方登录,但有时需要在html跳至APP,或者APP跳至另外一个APP.这时也需要使用URL Schemes. 一.html跳转至APP eg:html跳转至te ...
- Unity3D ShaderLab 模拟纹理运动
Unity3D ShaderLab 模拟纹理运动 这一篇,我们要说到着色器上的uv贴图的滚动效果,这样的场景可以用在河流,瀑布,熔岩等效果.算是创建纹理动画的基础技术之一. 所以 准备一个新的着色器文 ...
- 【转】Paxos算法深入分析
http://blog.csdn.net/anderscloud/article/details/7175209 在分布式系统设计领域,Paxos可谓是最重要一致性的算法.Google的大牛们称 ...
- 第二个sprint第一天
一.例会人员:李泳江,邵家文,周伟雄,谢洪跃 日期:6月1号 例会内容: 1.用户调研,修复bug,要对初期的版本的bug进行解决,以便能够在6月3号演示. 2.整个第二个sprint 我们队伍要 ...
- ~0u >> 1
~ 逐位求反u 后辍为 定义unsigned类型>>右移如在32系统中,连起来就是 将32位的0取反后 右移一位.也就是 int 的最大值 2147482347
- Jquery attr判断服务器单选按钮失败
在项目中用 jquey的attr方法获取服务器控件的单选按钮checked属性会不成功, 单选选中改变,用attr获取不到最新的值,但是用 $("#rdbPartySend").i ...
- 一张图让你学会LVM
导读 随着科技的进步,人们不知不觉的就进入了大数据的时代,数据的不断增加我们发现我们的磁盘越来越不够用了,接下来就是令人头疼的事情--加硬盘,数据的备份与还原.LVM就是Linux下专门针对我们数据的 ...