vNS12 MySQL Performance

vNS12(192.168.195.91): 2vCPU + 2GBMem
MySQL1(192.168.185.73): 2vCPU + 1GBMem
MySQL2(192.168.185.75): 2vCPU + 1GBMem
LinuxClient(192.168.195.71): 2vCPU + 1GBMem

MySQL2(192.168.185.75:3306) Performance:

[root@lsgxeva ~]# sysbench /usr/share/sysbench/tests/include/oltp_legacy/oltp.lua --db-driver=mysql --mysql-host=192.168.185.75 --mysql-port=3306 --mysql-user=sbtest --mysql-password=sbtest --mysql-db=sbtest --oltp-test-mode=complex --oltp-tables-count=10 --oltp-table-size=100000 --threads=10 --time=120 --report-interval=10 run
sysbench 1.0.9 (using system LuaJIT 2.0.4) Running the test with following options:
Number of threads: 10
Report intermediate results every 10 second(s)
Initializing random number generator from current time Initializing worker threads... Threads started! [ 10s ] thds: 10 tps: 236.25 qps: 4741.53 (r/w/o: 3320.12/874.12/547.29) lat (ms,95%): 71.83 err/s: 0.00 reconn/s: 0.00
[ 20s ] thds: 10 tps: 195.21 qps: 3897.73 (r/w/o: 2728.99/715.12/453.62) lat (ms,95%): 92.42 err/s: 0.00 reconn/s: 0.00
[ 30s ] thds: 10 tps: 189.69 qps: 3801.34 (r/w/o: 2659.99/701.27/440.08) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 40s ] thds: 10 tps: 213.60 qps: 4270.33 (r/w/o: 2990.82/782.61/496.90) lat (ms,95%): 92.42 err/s: 0.00 reconn/s: 0.00
[ 50s ] thds: 10 tps: 189.61 qps: 3787.75 (r/w/o: 2651.10/699.63/437.02) lat (ms,95%): 121.08 err/s: 0.00 reconn/s: 0.00
[ 60s ] thds: 10 tps: 195.50 qps: 3914.50 (r/w/o: 2739.60/719.60/455.30) lat (ms,95%): 104.84 err/s: 0.00 reconn/s: 0.00
[ 70s ] thds: 10 tps: 193.10 qps: 3859.52 (r/w/o: 2702.65/709.89/446.99) lat (ms,95%): 116.80 err/s: 0.00 reconn/s: 0.00
[ 80s ] thds: 10 tps: 206.49 qps: 4127.70 (r/w/o: 2888.63/756.58/482.49) lat (ms,95%): 94.10 err/s: 0.00 reconn/s: 0.00
[ 90s ] thds: 10 tps: 192.61 qps: 3858.12 (r/w/o: 2700.69/711.62/445.81) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 100s ] thds: 10 tps: 197.40 qps: 3948.56 (r/w/o: 2763.54/729.51/455.51) lat (ms,95%): 112.67 err/s: 0.00 reconn/s: 0.00
[ 110s ] thds: 10 tps: 198.00 qps: 3961.06 (r/w/o: 2772.27/726.89/461.90) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 120s ] thds: 10 tps: 184.77 qps: 3689.19 (r/w/o: 2583.07/673.59/432.53) lat (ms,95%): 144.97 err/s: 0.00 reconn/s: 0.00
SQL statistics:
queries performed:
read: 335062
write: 88031
other: 55567
total: 478660
transactions: 23933 (199.38 per sec.)
queries: 478660 (3987.54 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.) General statistics:
total time: 120.0375s
total number of events: 23933 Latency (ms):
min: 11.35
avg: 50.14
max: 812.61
95th percentile: 108.68
sum: 1200039.92 Threads fairness:
events (avg/stddev): 2393.3000/56.73
execution time (avg/stddev): 120.0040/0.01

lb_vsrv_mysql_single(192.168.195.104:3306) Performance:
        --> MySQL2(192.168.185.75:3306)

[root@lsgxeva ~]# sysbench /usr/share/sysbench/tests/include/oltp_legacy/oltp.lua --db-driver=mysql --mysql-host=192.168.195.104 --mysql-port=3306 --mysql-user=sbtest --mysql-password=sbtest --mysql-db=sbtest --oltp-test-mode=complex --oltp-tables-count=10 --oltp-table-size=100000 --threads=10 --time=120 --report-interval=10 run
sysbench 1.0.9 (using system LuaJIT 2.0.4) Running the test with following options:
Number of threads: 10
Report intermediate results every 10 second(s)
Initializing random number generator from current time Initializing worker threads... Threads started! [ 10s ] thds: 10 tps: 208.75 qps: 4183.88 (r/w/o: 2929.96/760.03/493.89) lat (ms,95%): 90.78 err/s: 0.00 reconn/s: 0.00
[ 20s ] thds: 10 tps: 179.61 qps: 3594.66 (r/w/o: 2517.01/659.33/418.32) lat (ms,95%): 121.08 err/s: 0.00 reconn/s: 0.00
[ 30s ] thds: 10 tps: 158.00 qps: 3161.02 (r/w/o: 2212.91/579.50/368.60) lat (ms,95%): 153.02 err/s: 0.00 reconn/s: 0.00
[ 40s ] thds: 10 tps: 166.00 qps: 3310.43 (r/w/o: 2314.85/601.49/394.09) lat (ms,95%): 150.29 err/s: 0.00 reconn/s: 0.00
[ 50s ] thds: 10 tps: 157.76 qps: 3165.90 (r/w/o: 2217.01/580.17/368.72) lat (ms,95%): 150.29 err/s: 0.00 reconn/s: 0.00
[ 60s ] thds: 10 tps: 178.44 qps: 3568.67 (r/w/o: 2498.44/655.54/414.69) lat (ms,95%): 134.90 err/s: 0.00 reconn/s: 0.00
[ 70s ] thds: 10 tps: 180.69 qps: 3605.49 (r/w/o: 2523.45/662.76/419.28) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 80s ] thds: 10 tps: 181.51 qps: 3644.28 (r/w/o: 2551.09/668.45/424.73) lat (ms,95%): 121.08 err/s: 0.00 reconn/s: 0.00
[ 90s ] thds: 10 tps: 191.48 qps: 3820.55 (r/w/o: 2675.66/701.54/443.36) lat (ms,95%): 94.10 err/s: 0.00 reconn/s: 0.00
[ 100s ] thds: 10 tps: 180.70 qps: 3617.37 (r/w/o: 2531.75/662.61/423.01) lat (ms,95%): 123.28 err/s: 0.00 reconn/s: 0.00
[ 110s ] thds: 10 tps: 190.42 qps: 3804.70 (r/w/o: 2663.41/697.25/444.04) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 120s ] thds: 10 tps: 198.60 qps: 3971.28 (r/w/o: 2778.99/732.90/459.40) lat (ms,95%): 102.97 err/s: 0.00 reconn/s: 0.00
SQL statistics:
queries performed:
read: 304220
write: 79642
other: 50738
total: 434600
transactions: 21730 (181.01 per sec.)
queries: 434600 (3620.29 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.) General statistics:
total time: 120.0444s
total number of events: 21730 Latency (ms):
min: 16.45
avg: 55.23
max: 939.91
95th percentile: 121.08
sum: 1200142.16 Threads fairness:
events (avg/stddev): 2173.0000/16.17
execution time (avg/stddev): 120.0142/0.02

lb_vsrv_mysql_write(192.168.195.105:3306) Performance:
        --> MySQL1(192.168.185.73:3306)
        --> MySQL2(192.168.185.75:3306)

[root@lsgxeva ~]# sysbench /usr/share/sysbench/tests/include/oltp_legacy/oltp.lua --db-driver=mysql --mysql-host=192.168.195.105 --mysql-port=3306 --mysql-user=sbtest --mysql-password=sbtest --mysql-db=sbtest --oltp-test-mode=complex --oltp-tables-count=10 --oltp-table-size=100000 --threads=10 --time=120 --report-interval=10 run
sysbench 1.0.9 (using system LuaJIT 2.0.4) Running the test with following options:
Number of threads: 10
Report intermediate results every 10 second(s)
Initializing random number generator from current time Initializing worker threads... Threads started! [ 10s ] thds: 10 tps: 254.64 qps: 5111.88 (r/w/o: 3579.02/921.80/611.07) lat (ms,95%): 82.96 err/s: 0.00 reconn/s: 0.00
[ 20s ] thds: 10 tps: 221.20 qps: 4420.38 (r/w/o: 3094.79/797.00/528.60) lat (ms,95%): 123.28 err/s: 0.00 reconn/s: 0.00
[ 30s ] thds: 10 tps: 187.19 qps: 3734.54 (r/w/o: 2613.49/678.47/442.58) lat (ms,95%): 139.85 err/s: 0.00 reconn/s: 0.00
[ 40s ] thds: 10 tps: 121.40 qps: 2431.02 (r/w/o: 1701.74/440.39/288.89) lat (ms,95%): 257.95 err/s: 0.00 reconn/s: 0.00
[ 50s ] thds: 10 tps: 208.20 qps: 4163.85 (r/w/o: 2915.77/749.69/498.39) lat (ms,95%): 127.81 err/s: 0.00 reconn/s: 0.00
[ 60s ] thds: 10 tps: 216.92 qps: 4347.94 (r/w/o: 3042.91/784.48/520.55) lat (ms,95%): 110.66 err/s: 0.00 reconn/s: 0.00
[ 70s ] thds: 10 tps: 222.41 qps: 4448.05 (r/w/o: 3113.61/809.63/524.82) lat (ms,95%): 99.33 err/s: 0.00 reconn/s: 0.00
[ 80s ] thds: 10 tps: 229.38 qps: 4577.85 (r/w/o: 3204.46/831.34/542.06) lat (ms,95%): 104.84 err/s: 0.00 reconn/s: 0.00
[ 90s ] thds: 10 tps: 200.98 qps: 4021.04 (r/w/o: 2815.18/729.02/476.85) lat (ms,95%): 132.49 err/s: 0.00 reconn/s: 0.00
[ 100s ] thds: 10 tps: 214.83 qps: 4296.27 (r/w/o: 3006.10/781.00/509.17) lat (ms,95%): 123.28 err/s: 0.00 reconn/s: 0.00
[ 110s ] thds: 10 tps: 212.91 qps: 4263.62 (r/w/o: 2987.08/775.52/501.01) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 120s ] thds: 10 tps: 206.59 qps: 4126.78 (r/w/o: 2887.44/750.96/488.37) lat (ms,95%): 97.55 err/s: 0.00 reconn/s: 0.00
SQL statistics:
queries performed:
read: 349678
write: 90526
other: 59336
total: 499540
transactions: 24977 (208.05 per sec.)
queries: 499540 (4160.97 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.) General statistics:
total time: 120.0524s
total number of events: 24977 Latency (ms):
min: 12.48
avg: 48.05
max: 1509.04
95th percentile: 118.92
sum: 1200217.54 Threads fairness:
events (avg/stddev): 2497.7000/10.93
execution time (avg/stddev): 120.0218/0.01

vNS12 MySQL Performance的更多相关文章

  1. mysql优化---优化工具MySQL performance tuning primer script

    MySQL performance tuning primer script一个简单好用的mysql优化工具,其实一个shell脚本 下载: $ wget http://www.day32.com/M ...

  2. 学习笔记:Analyze MySQL Performance及慢日志的开启

    Table of Contents Analyze MySQL PerformanceTuningSlow queries and Slowlog Brought to you by Rick Jam ...

  3. MySQL Performance Tuning: Tips, Scripts and Tools

    With MySQL, common configuration mistakes can cause serious performance problems. In fact, if you mi ...

  4. mysql performance storage engine

    mysql performance storage engine 概要 mysql的运行时状态记录的存储引擎,实现了PSI(Performance Storage Interface) 通过WITH_ ...

  5. MYSQL performance

    https://www.mysql.com/why-mysql/performance/ https://www.slideshare.net/oysteing/how-to-analyze-and- ...

  6. MySQL Performance Schema详解

    MySQL的performance schema 用于监控MySQL server在一个较低级别的运行过程中的资源消耗.资源等待等情况. 1 performance schema特点 提供了一种在数据 ...

  7. Zabbix监控mysql performance

    介绍 zabbix监控mysql性能,使用zabbix自带的mysql监控模板,可以监控以下内容OPS(增删改查).mysql慢查询数量.mysql请求\响应流量带宽 配置 新建mysql监控用户 G ...

  8. MySQL Performance tuning

    1.表级锁状态 mysql> show status like 'table%'; +----------------------------+-----------+ | Variable_n ...

  9. mysql performance schema的即时诊断工具-邱伟胜

    https://github.com/noodba http://www.noodba.com

随机推荐

  1. 理解MVC 框架

    前言:很多前端开发者面临着这样的问题,在项目开发中承担的工作越来越多,后端要做的越来越少,需要的技术棧越来越多,经常有人问你个技术是你完全不会的,对自己的职业生涯越来越怀疑.从前认为HTML+CSS+ ...

  2. 【转】Web实时通信之Socket.IO ,真正的兼容ie

    前面两篇文章使用了Ajax long polling和WebSocket两种常用的Web实时通信方式构建了简单的聊天程序. 但是,由于浏览器的兼容问题,不是所有的环境都可以使用WebSocket这种比 ...

  3. 实现带复选框的TreeView控件

    实现效果: 知识运用: TreeView控件的CheckView属性 //是否在树形视图控件中显示复选框 public bool CheckBoxs{ get;ser } 实现代码: TreeView ...

  4. Python 之私有属性

    概要 在基类的定义中,如果有些属性或者方法,我们希望隐藏它,从而不被子类继承,或者使其不被实例直接访问到,这时候可以用到私有属性的命名方法.尽管类的所有属性和方法在某种意义上说都是"暴露的& ...

  5. 操作表单 -------JavaScrip

    本文摘要:http://www.liaoxuefeng.com/ HTML表单的输入控件主要有以下几种: 文本框,对应的<input type="text">,用于输入 ...

  6. C语言正整数除法向上取整

    在网上发现一个简单的向上取整方法: 这里我们用<>表示向上取整,[]表示向下取整,那么怎么来表示这个值呢? 我们可以证明: <N/M>=[(N-1)/M]+1    (0< ...

  7. Oracle 数字处理函数

    数字处理函数 ① mod(number1,number2) 取余数的函数,比如mod(10,3) = 10/3 = 1. ② round(number,num_ditigs) .trunk(numbe ...

  8. C++ 学习笔记 (八)重载 重写 重定义以及名字覆盖

    学习C++必定会遇到重载.重写.重定义.概念的东西多也是学习C++蛋疼之处,但是还是得弄懂,学懂了也就不觉得多了. 概念,特点: 重载: 直白点说就是函数名字相同,传参的个数,类型不一样.判断标准在于 ...

  9. Spring - 什么是IOC?

  10. Centos7在运行yum命令时出现报错及排查处理过程

    1.1  现象描述 Centos系统在正常重启后,运行yum命令安装软件工具的时候出现以下报错: cannot open Packages index using db5 - Structure ne ...