sysbench对MySQL的压测,使用sysbench压测磁盘io
QPS - query per second
TPS - transaction per second 不是特别关注,每个业务场景中事务标准是不一样的
Ⅰ、sysbench测试框架

Ⅱ、常用测试脚本
[root@VM_42_63_centos lua]# pwd
/usr/local/src/sysbench-master/src/lua
[root@VM_42_63_centos lua]# ll *.lua
-rwxr-xr-x 1 root root 1446 Jun 27 02:35 bulk_insert.lua
-rw-r--r-- 1 root root 1307 Jun 27 02:35 empty-test.lua
-rw-r--r-- 1 root root 14468 Jun 27 02:35 oltp_common.lua
-rwxr-xr-x 1 root root 1290 Jun 27 02:35 oltp_delete.lua
-rwxr-xr-x 1 root root 2415 Jun 27 02:35 oltp_insert.lua
-rwxr-xr-x 1 root root 1265 Jun 27 02:35 oltp_point_select.lua
-rwxr-xr-x 1 root root 1649 Jun 27 02:35 oltp_read_only.lua
-rwxr-xr-x 1 root root 1824 Jun 27 02:35 oltp_read_write.lua
-rwxr-xr-x 1 root root 1118 Jun 27 02:35 oltp_update_index.lua
-rwxr-xr-x 1 root root 1127 Jun 27 02:35 oltp_update_non_index.lua
-rwxr-xr-x 1 root root 1440 Jun 27 02:35 oltp_write_only.lua
-rw-r--r-- 1 root root 1631 Jun 27 02:35 prime-test.lua
-rwxr-xr-x 1 root root 1933 Jun 27 02:35 select_random_points.lua
-rwxr-xr-x 1 root root 2132 Jun 27 02:35 select_random_ranges.lua
Ⅲ、开搞
这个老版本好像有参数设置热数据的量什么的,现在最新版本不知道咋搞,就先将就直接弄吧,不管了
准备数据
[root@VM_42_63_centos lua]# sysbench --mysql-host=127.0.0.1 --mysql-port=3307 --mysql-db=sbtest --tables=10 --table-size=10000 --mysql-user=root --mysql-password=123 oltp_update_index.lua prepare
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Creating table 'sbtest1'...
Inserting 10000 records into 'sbtest1'
Creating a secondary index on 'sbtest1'...
Creating table 'sbtest2'...
Inserting 10000 records into 'sbtest2'
Creating a secondary index on 'sbtest2'...
Creating table 'sbtest3'...
Inserting 10000 records into 'sbtest3'
Creating a secondary index on 'sbtest3'...
...
开始测试
[root@VM_42_63_centos lua]# sysbench oltp_update_index.lua --mysql-host=127.0.0.1 --mysql-port=3307 --mysql-user=root --mysql-password=123 --threads=10 --time=120 --report-interval=10 run
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
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: 804.14 qps: 804.14 (r/w/o: 0.00/804.14/0.00) lat (ms,95%): 36.89 err/s: 0.00 reconn/s: 0.00
[ 20s ] thds: 10 tps: 647.70 qps: 647.70 (r/w/o: 0.00/647.70/0.00) lat (ms,95%): 35.59 err/s: 0.00 reconn/s: 0.00
[ 30s ] thds: 10 tps: 2220.50 qps: 2220.50 (r/w/o: 0.00/2220.50/0.00) lat (ms,95%): 18.28 err/s: 0.00 reconn/s: 0.00
[ 40s ] thds: 10 tps: 4566.59 qps: 4566.59 (r/w/o: 0.00/4566.59/0.00) lat (ms,95%): 2.71 err/s: 0.00 reconn/s: 0.00
[ 50s ] thds: 10 tps: 4194.30 qps: 4194.30 (r/w/o: 0.00/4194.30/0.00) lat (ms,95%): 7.30 err/s: 0.00 reconn/s: 0.00
[ 60s ] thds: 10 tps: 4717.91 qps: 4717.91 (r/w/o: 0.00/4717.91/0.00) lat (ms,95%): 2.76 err/s: 0.00 reconn/s: 0.00
...
看结果,这里就不解释了,比较简单,随便看看就好
SQL statistics:
queries performed:
read: 0
write: 665574
other: 0
total: 665574
transactions: 665574 (5546.21 per sec.)
queries: 665574 (5546.21 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.)
Throughput:
events/s (eps): 5546.2076
time elapsed: 120.0052s
total number of events: 665574
Latency (ms):
min: 0.27
avg: 1.80
max: 123.45
95th percentile: 2.43
sum: 1199263.13
Threads fairness:
events (avg/stddev): 66557.4000/209.28
execution time (avg/stddev): 119.9263/0.00
使用sysbench压测磁盘io
Ⅰ、sysbench安装
cd /usr/local/src
yum -y install make automake libtool pkgconfig libaio-devel
git clone https://github.com/akopytov/sysbench.git
cd sysbench
./autogen.sh
./configure
make -j 4
make install
ldconfig /usr/local/mysql/lib
[root@VM_42_63_centos sysbench]# sysbench --version;
sysbench 1.1.0-50966c8
Ⅱ、file io测试
2,1 生成测试文件
sysbench fileio --file-num=4 --file-block-size=16384 --file-total-size=110G prepare
2.2 看下参数
[root@VM_42_63_centos data]# sysbench fileio help
sysbench 1.1.0-50966c8 (using bundled LuaJIT 2.1.0-beta3)
fileio options:
--file-num=N number of files to create [128]
--file-block-size=N block size to use in all IO operations [16384]
--file-total-size=SIZE total size of files to create [2G]
--file-test-mode=STRING test mode {seqwr, seqrewr, seqrd, rndrd, rndwr, rndrw}
--file-io-mode=STRING file operations mode {sync,async,mmap} [sync]
--file-extra-flags=[LIST,...] list of additional flags to use to open files {sync,dsync,direct} []
--file-fsync-freq=N do fsync() after this number of requests (0 - don't use fsync()) [100]
--file-fsync-all[=on|off] do fsync() after each write operation [off]
--file-fsync-end[=on|off] do fsync() at the end of test [on]
--file-fsync-mode=STRING which method to use for synchronization {fsync, fdatasync} [fsync]
--file-merged-requests=N merge at most this number of IO requests if possible (0 - don't merge) [0]
--file-rw-ratio=N reads/writes ratio for combined test [1.5]
2.3 测两把看看
- 先看随机读
[root@VM_42_63_centos sysdata]# sysbench fileio \
> --time=180 \
> --threads=24 \
> --file-total-size=110G \
> --file-test-mode=rndrd \
> --file-num=4 \
> --file-extra-flags=direct \
> --file-fsync-freq=0 \
> --file-block-size=16384 \
> run
sysbench 1.1.0-50966c8 (using bundled LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 24
Initializing random number generator from current time
Extra file open flags: directio
4 files, 2.5GiB each
10GiB total file size
Block size 16KiB
Number of IO requests: 0
Read/Write ratio for combined random IO test: 1.50
Calling fsync() at the end of test, Enabled.
Using synchronous I/O mode
Doing random read test
Initializing worker threads...
Threads started!
Throughput:
read: IOPS=1752.15 27.38 MiB/s (28.71 MB/s)
write: IOPS=0.00 0.00 MiB/s (0.00 MB/s)
fsync: IOPS=0.00
Latency (ms):
min: 0.07
avg: 13.70
max: 687.59
95th percentile: 36.89
sum: 4319633.88
- 再看随机写
[root@VM_42_63_centos sysdata]# sysbench fileio \
> --time=180 \
> --threads=24 \
> --file-total-size=110G \
> --file-test-mode=rndwr \
> --file-num=4 \
> --file-extra-flags=direct \
> --file-fsync-freq=0 \
> --file-block-size=16384 \
> run
sysbench 1.1.0-50966c8 (using bundled LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 24
Initializing random number generator from current time
Extra file open flags: directio
4 files, 2.5GiB each
10GiB total file size
Block size 16KiB
Number of IO requests: 0
Read/Write ratio for combined random IO test: 1.50
Calling fsync() at the end of test, Enabled.
Using synchronous I/O mode
Doing random write test
Initializing worker threads...
Threads started!
Throughput:
read: IOPS=0.00 0.00 MiB/s (0.00 MB/s)
write: IOPS=1094.75 17.11 MiB/s (17.94 MB/s)
fsync: IOPS=0.53
Latency (ms):
min: 0.09
avg: 21.92
max: 3376.77
95th percentile: 94.10
sum: 4319984.68
随机读的iops为1752,随机写的iops为1094,读写非对称
清理测试文件用cleanup选项即可
我们主要看随机写的性能哦
sysbench对MySQL的压测,使用sysbench压测磁盘io的更多相关文章
- 使用sysbench对mysql压力测试
sysbench是一个模块化的.跨平台.多线程基准测试工具,主要用于评估测试各种不同系统参数下的数据库负载情况.关于这个项目的详细介绍请看:https://github.com/akopytov/sy ...
- 使用sysbench对MySQL进行压力测试
1.背景 出自percona公司,是一款多线程系统压测工具,可以根据影响数据库服务器性能的各种因素来评估系统的性能.例如,可以用来测试文件IO,操作系统调度器,内存分配和传输速度,POSIX线程以及 ...
- MySQL性能压力基准测试工具sysbench
1.sysbench介绍 这里介绍一款MySQL数据库的压力测试软件sysbench,用它来进行基准测试. sysbench 是一个开源的.模块化的.跨平台的多线程性能测试工具, 可以用来进行CPU. ...
- sysbench(mysql测试工具 )
目录 一.基准测试简介 1.什么是基准测试 2.基准测试的作用 3.基准测试的指标 4.基准测试的分类 二.sysbench 1.sysbench简介 2.sysbench安装 3.sysbench语 ...
- 使用 sysbench对mysql进行压力测试介绍之一
sysbench是一款开源的多线程性能测试工具,可以执行CPU/内存/线程/IO/数据库等方面的性能测试.数据库目前支持MySQL/Oracle/PostgreSQL.本文只是简单演示一下几种测试的用 ...
- 利用sysbench进行MySQL OLTP基准测试
Preface In order to know clearly about the real performance threshold of database server,we ...
- 使用sysbench 对mysql进行性能测试
使用sysbench 对mysql进行性能测试 sysbench是一个开源的.模块化的.跨平台的多线程性能测试工具,可以用来进行CPU.内存.磁盘I/O.线程.数据库的性能测试.目前支持的数据库有My ...
- ubuntu 18.04使用sysbench测试MySQL性能
首先下载安装sysbench: sudo apt-get install sysbench -y 查看一下sysbench版本是多少: zifeiy@zifeiy-S1-Series:~$ sysbe ...
- Sysbench对Mysql进行基准测试
前言 1.基准测试(benchmarking)是性能测试的一种类型,强调的是对一类测试对象的某些性能指标进行定量的.可复现.可对比的测试. 进一步来理解,基准测试是在某个时候通过基准测试建立一个已知的 ...
随机推荐
- dart之旅(二)- 内建类型
目录 number 类型 字符串 布尔类型 像大多数语言一样,dart 也提供了 number,string,boolean 等类型,包括以下几种: numbers strings booleans ...
- Kotlin 最佳实践
为什么写此文 Kotlin很烦,Gralde很烦,还都是升级狂,加一块更烦.几个月不接触Kotlin,再次上手时便一片迷茫.所以记录此文,以便再次上手时查阅. 使用Gradle创建Kotlin项目 m ...
- Java 8 新特性-菜鸟教程 (7) -Java 8 Nashorn JavaScript
Java 8 Nashorn JavaScript Nashorn 一个 javascript 引擎. 从JDK 1.8开始,Nashorn取代Rhino(JDK 1.6, JDK1.7)成为Java ...
- 个人觉得非常好用的mysql客户端工具的HeidiSQL
感觉比Navicat好用,能显示注释,而且还有绿色版,轻量级 下载地址:http://www.heidisql.com/download.php
- Python和Java编程题(三)
1.题目:判断101到200之间有多少个素数,并输出所有素数 题目分析:判断一个数是否为素数,只需要判断这个数有没有除1和它自身外的其他因数.因此,判断这个数能否被2-它的平方根中的任意一个数整除即可 ...
- POJ 3037 Skiing(如何使用SPFA求解二维最短路问题)
题目链接: https://cn.vjudge.net/problem/POJ-3037 Bessie and the rest of Farmer John's cows are taking a ...
- [牛客小白月赛4 H] 相邻的糖果
Description 有n个盒子摆成一排,每个盒子内都有ai个糖果. 现在你可以执行以下操作: ·你可以选择任意一个盒子,在选择的盒子内吃掉一个糖果. 对你的要求如下: ·任何m个相邻的盒子内糖果数 ...
- IdentityServer4 中文文档 -3- (简介)已支持的规范
IdentityServer4 中文文档 -3- (简介)已支持的规范 原文:http://docs.identityserver.io/en/release/intro/specs.html 目 录 ...
- Umbraco 7 支持Microsoft Word 2013 发布内容
本文介绍如何使用Microsoft Word 2013 编写或编辑你的Blogs或新闻页面,甚至不需要打开浏览器, 我将分成两部分来讲. 概述 本例实采用的是Umbraco 7.2 版本,首页效果: ...
- Hive案例05-学生成绩表综合案例
1. 数据说明 (1) student表 hive> select * from student; # 学生ID 学生姓名 性别 年龄 所在系 # sid sname sex age dept ...