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
InnoDB
redo 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
- 转载一篇文章 python程序员经常犯的10个错误
一位同事推荐的.翻译的不错. http://www.oschina.net/translate/top-10-mistakes-that-python-programmers-make
- 在windows 、linux下读取目录下所有文件名
Windows要引入的头文件是<Windows.h> 主要是两个函数FindFirstFile.FindNextFile MSDN里是这么说的: FindFirstFile functio ...
- What is the difference Apache (Http Server) and Tomcat (Servlet Container)
The Apache Project The Apache Project is a collaborative software development effort. Its goal is to ...
- linux常用命令:3文件搜索命令
文件搜索命令 1. 命令名:find 命令所在路径:/bin/find 执行权限:所有用户 语法:find [搜索范围] [匹配条件] 功能描述:文件搜索 文件搜索类型 通过文件名搜索 -name ...
- 进程同步(二)—— 信号量&内存共享
内存共享是进程间常用的通信方式,可以实现两个完全独立的进程通信. 在访问共享内存时,同时需要信号量进行访问控制. 使用ipcs -m命令可以查看系统共享内存,ipce -m + key 可以删除指定的 ...
- Unity3D ShaderLab 立方体图的反射遮罩
Unity3D ShaderLab 立方体图的反射遮罩 上一篇,简单的介绍了立方体图的反射,那么我们能不能使用一张纹理对其进行指定遮罩呢?这样美工可以更好的控制图像的效果. 我们接着使用上一篇的sha ...
- centOS5下安装redis make报错
1:/tmp/redis-2.6.14/src/zmalloc.c:223:undefined reference to '__sync_add_and_fetch' make时加参数: make C ...
- magento -- 添加新产品时状态默认为激活,库存状态默认为有库存
添加新产品时状态默认为激活 打开文件/app/code/core/Mage/Catalog/Model/Product/Status.php,注释掉“Please Select” /** * Retr ...
- MINIX3 导读分析
一个操作系统的分析是属于一个非常庞大的工程,操作系统就像是一个人造的 人,每一个模块想完全发挥功效,很有可能需要很多模块的支持才能够实现.所 以在分析 MINIX3 时,我认为同时看多个模块对于理解 ...
- 《JavaScript Ninja》之函数是根基
函数是根基 理解函数为什么如此重要 JavaScript 是一门 函数式语言 . 函数为什么是第一型对象 在 JavaScript 中,函数可以共处,可以将其视为其他任意类型的 JavaScript ...