之前公司客户有出现过一种情况,是使用sysbench 进行压力测试,在测试的过程中发生一个现象,如下所示
下面是客户那里的输出结果:
[1310s] threads: 600, tps: 2176.70, reads: 1087.10, writes: 1089.60, response time: 1076.07ms (95%), errors: 0.00, reconnects: 0.00 [1320s] threads: 600, tps: 2292.10, reads: 1144.30, writes: 1147.80, response time: 805.14ms (95%), errors: 0.00, reconnects: 0.00 [1330s] threads: 600, tps: 2205.90, reads: 1103.30, writes: 1102.60, response time: 969.33ms (95%), errors: 0.00, reconnects: 0.00 [1340s] threads: 600, tps: 2038.20, reads: 1015.80, writes: 1022.40, response time: 920.41ms (95%), errors: 0.00, reconnects: 0.00 [1350s] threads: 600, tps: 2002.90, reads: 998.90, writes: 1004.00, response time: 1096.88ms (95%), errors: 0.00, reconnects: 0.00 [1360s] threads: 600, tps: 2002.90, reads: 1000.10, writes: 1002.80, response time: 1108.77ms (95%), errors: 0.00, reconnects: 0.00 [1370s] threads: 600, tps: 2114.90, reads: 1057.60, writes: 1057.30, response time: 930.94ms (95%), errors: 0.00, reconnects: 0.00 [1380s] threads: 600, tps: 2073.30, reads: 1033.90, writes: 1039.40, response time: 967.59ms (95%), errors: 0.00, reconnects: 0.00 [1390s] threads: 600, tps: 2314.09, reads: 1153.99, writes: 1160.09, response time: 1016.58ms (95%), errors: 0.00, reconnects: 0.00 [1400s] threads: 600, tps: 1850.91, reads: 924.21, writes: 926.71, response time: 1543.45ms (95%), errors: 0.00, reconnects: 0.00 [1410s] threads: 600, tps: 2493.41, reads: 1243.81, writes: 1249.91, response time: 1124.14ms (95%), errors: 0.00, reconnects: 0.00 [1420s] threads: 600, tps: 1628.29, reads: 815.40, writes: 812.60, response time: 1302.12ms (95%), errors: 0.00, reconnects: 0.00 [1430s] threads: 600, tps: 1737.90, reads: 865.30, writes: 872.60, response time: 1128.86ms (95%), errors: 0.00, reconnects: 0.00 [1440s] threads: 600, tps: 1576.90, reads: 787.60, writes: 789.30, response time: 1375.44ms (95%), errors: 0.00, reconnects: 0.00 [1450s] threads: 600, tps: 1773.60, reads: 884.00, writes: 889.60, response time: 1374.20ms (95%), errors: 0.00, reconnects: 0.00 [1460s] threads: 600, tps: 1845.71, reads: 922.71, writes: 923.01, response time: 1252.42ms (95%), errors: 0.00, reconnects: 0.00 [1470s] threads: 600, tps: 2229.28, reads: 1111.89, writes: 1117.39, response time: 1001.47ms (95%), errors: 0.00, reconnects: 0.00 [1480s] threads: 600, tps: 2510.32, reads: 1254.31, writes: 1256.71, response time: 918.75ms (95%), errors: 0.00, reconnects: 0.00 [1490s] threads: 600, tps: 1908.09, reads: 951.79, writes: 955.59, response time: 1148.29ms (95%), errors: 0.00, reconnects: 0.00 [1500s] threads: 600, tps: 2327.93, reads: 1161.71, writes: 1166.41, response time: 1395.34ms (95%), errors: 0.00, reconnects: 0.00 [1510s] threads: 600, tps: 2329.08, reads: 1162.89, writes: 1165.99, response time: 988.08ms (95%), errors: 0.00, reconnects: 0.00 [1520s] threads: 600, tps: 2036.43, reads: 1017.81, writes: 1018.61, response time: 938.21ms (95%), errors: 0.00, reconnects: 0.00 [1530s] threads: 600, tps: 787.59, reads: 393.19, writes: 394.39, response time: 1060.72ms (95%), errors: 0.00, reconnects: 0.00 [1540s] threads: 600, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00 [2120s] threads: 600, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00 [2130s] threads: 600, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00 [2140s] threads: 600, tps: 219.00, reads: 108.30, writes: 110.70, response time: 615414.74ms (95%), errors: 0.00, reconnects: 0.00 [2150s] threads: 600, tps: 2046.80, reads: 1023.90, writes: 1022.90, response time: 1158.65ms (95%), errors: 0.00, reconnects: 0.00 [2160s] threads: 600, tps: 2560.12, reads: 1275.81, writes: 1284.31, response time: 854.55ms (95%), errors: 0.00, reconnects: 0.00 [2170s] threads: 600, tps: 3093.08, reads: 1542.49, writes: 1550.59, response time: 783.97ms (95%), errors: 0.00, reconnects: 0.00 [2180s] threads: 600, tps: 3234.00, reads: 1616.00, writes: 1618.00, response time: 698.42ms (95%), errors: 0.00, reconnects: 0.00 [2190s] threads: 600, tps: 3709.84, reads: 1851.62, writes: 1858.62, response time: 772.09ms (95%), errors: 0.00, reconnects: 0.00 [2200s] threads: 600, tps: 3492.39, reads: 1741.19, writes: 1750.79, response time: 762.67ms (95%), errors: 0.00, reconnects: 0.00 [2210s] threads: 600, tps: 3282.96, reads: 1639.88, writes: 1643.08, response time: 889.00ms (95%), errors: 0.00, reconnects: 0.00 [2220s] threads: 600, tps: 3922.43, reads: 1958.12, writes: 1964.32, response time: 690.32ms (95%), errors: 0.00, reconnects: 0.00 [2230s] threads: 600, tps: 3949.69, reads: 1972.60, writes: 1977.10, response time: 836.58ms (95%), errors: 0.00, reconnects: 0.00 [2240s] threads: 600, tps: 4091.38, reads: 2042.09, writes: 2049.29, response time: 617.39ms (95%), errors: 0.00, reconnects: 0.00
在中途会有一阵TPS为零,为什么会出现上述的情况呢,是因为脏页过多,MySQL 必须先将脏页刷到磁盘才能继续工作.
要想了解脏页与redo log 之间的关系,请看 http://blog.csdn.net/yaoqinglin/article/details/46646267
当脏页刷新的速度不及事务提交的速度,导致脏页过多时,就会触发MySQL 的保护机制,停止写入的操作,只刷盘,直到MySQL认为OK了才好.
配置文件如下
innodb_log_file_size = 1000M innodb_log_files_in_group = 4 innodb_max_dirty_pages_pct = 75 innodb_io_capacity = 200
问题的原因找到了,那怎么解决这个问题呢?
个人觉得应该:最为重要的是 减小 innodb_io_capacity
原理分析:
首先看下图
当Log Pad 占了redo log 的75%以上,MySQL会异步的将Log pad所表示的脏页刷到磁盘中,但是此时MySQL不会停止事务的提交以及写入redo log.
当Log Pad 占了redo log 的90%时,MySQL会停止全部的写入操作,将Log Pad 刷新到磁盘.
造成这种情况的原因呢,自然是刷新的速度比不上事务的提交的速度.但是我们在发生问题之间的监控表示,磁盘的I/O并没有被大量的使用,那么MySQL为甚么不
在发生问题之前使用磁盘I/O开始刷,以减轻发生问题时的压力.
原因是MySQL有一种自适应的刷盘方式,控制整个刷新进程.innodb_adaptive_flushing,innodb_io_capacity, innodb_max_dirty_pages_pct, redo log 大小来判断什么时候
开始刷新脏页.怎么判断呢,大致上MySQL 会根据innodb_io_capacity来判断更新的速度能不能在可控的范围内.如果innodb_io_capacity设置过大,则会造成MySQL高估了
磁盘的能力,导致脏页堆积,就会出现本文所说的问题.如果设置过低,则会出现MySQL低估了磁盘的能力,使得数据库能够单位时间内提交的事务数(tps)降低.
我们的服务器的磁盘是7200rpm,属于比较低级的磁盘,根据MySQL 官方的建议,应该将innodb_io_capacity降低到100.
[root@t1 bin]# ./sg_vpd /dev/sda --page=0xb1 Block device characteristics VPD page (SBC): <strong>Nominal rotation rate: 7200 rpm</strong> Product type: Not specified WABEREQ=0 WACEREQ=0 Nominal form factor: 3.5 inch HAW_ZBC=0 FUAB=0 VBULS=0
官方的建议:
For systems with individual 5400 RPM or 7200 RPM drives, you might lower the value to the former default of 100.
修改之后重新测试,发现不会出现问题.解决的很漂亮有木有.

本文介紹了MySQL的“無法打開共享庫”錯誤。 該問題源於MySQL無法找到必要的共享庫(.SO/.DLL文件)。解決方案涉及通過系統軟件包M驗證庫安裝

本文探討了Docker中的優化MySQL內存使用量。 它討論了監視技術(Docker統計,性能架構,外部工具)和配置策略。 其中包括Docker內存限制,交換和cgroups

本文討論了使用MySQL的Alter Table語句修改表,包括添加/刪除列,重命名表/列以及更改列數據類型。

本文比較使用/不使用PhpMyAdmin的Podman容器直接在Linux上安裝MySQL。 它詳細介紹了每種方法的安裝步驟,強調了Podman在孤立,可移植性和可重複性方面的優勢,還

本文提供了SQLite的全面概述,SQLite是一個獨立的,無服務器的關係數據庫。 它詳細介紹了SQLite的優勢(簡單,可移植性,易用性)和缺點(並發限制,可伸縮性挑戰)。 c

文章討論了為MySQL配置SSL/TLS加密,包括證書生成和驗證。主要問題是使用自簽名證書的安全含義。[角色計數:159]

本指南展示了使用自製在MacOS上安裝和管理多個MySQL版本。 它強調使用自製裝置隔離安裝,以防止衝突。 本文詳細詳細介紹了安裝,起始/停止服務和最佳PRA

文章討論了流行的MySQL GUI工具,例如MySQL Workbench和PhpMyAdmin,比較了它們對初學者和高級用戶的功能和適合性。[159個字符]


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

AI Hentai Generator
免費產生 AI 無盡。

熱門文章

熱工具

SublimeText3 Mac版
神級程式碼編輯軟體(SublimeText3)

SAP NetWeaver Server Adapter for Eclipse
將Eclipse與SAP NetWeaver應用伺服器整合。

ZendStudio 13.5.1 Mac
強大的PHP整合開發環境

mPDF
mPDF是一個PHP庫,可以從UTF-8編碼的HTML產生PDF檔案。原作者Ian Back編寫mPDF以從他的網站上「即時」輸出PDF文件,並處理不同的語言。與原始腳本如HTML2FPDF相比,它的速度較慢,並且在使用Unicode字體時產生的檔案較大,但支援CSS樣式等,並進行了大量增強。支援幾乎所有語言,包括RTL(阿拉伯語和希伯來語)和CJK(中日韓)。支援嵌套的區塊級元素(如P、DIV),

SublimeText3 英文版
推薦:為Win版本,支援程式碼提示!