Sysbench - 一种系统性能benchmark
SysBench是一款开源的、跨平台的、模块化的、多线程的性能测试工具，通过高负载地运行在数据库上，可以执行CPU/内存/线程/IO/数据库等方面的性能测试。用于评估操作系统的性能参数。
1 sysbench简介
Sysbench使得我们无需采用真正的复杂的数据库benchmark而获取系统的性能概况。
目前主要支持的数据库有mysql、oracle、postgresql。
可评估的系统性能参数有：
1. Cpu性能
2. 内存分配与传输速度测试
3. 互斥体测试
4. 文件I/O性能
5. 线程调度性能
6. 数据库服务性能（OLTP基准）
本来sysbench主要是为mysql编写的benchmark。但是现在SysBench将进一步扩展，以支持更多的数据库backends，distributed benchmarks和第三方插件模块。
sysbench按照指定的数量开启线程，每个线程与mysql建立一个连接，每个线程不停地进行事务操作，打开事务，然后进行一些查询、更新、插入操作，提交事务，再开始新的事务；所有的sql只访问一个表-sbtest，是由sysbench的prepare命令建好的。其中的记录数，也是在prepare时指定好并创建的。测试结束，会有一个统计结果，包括例如每秒事务数、平均响应时间等等；
2 sysbench下载与安装
1.下载
下载地址：http://sourceforge.net/projects/sysbench/
获得sysbench-0.4.8.tar.gz源码。sysbench-0.4.8.tar.gz编译未通过。
2.安装
默认支持MySQL，如果需要测试Oracle/PostgreSQL，则在configure时需要加上–with-oracle或者–with-pgsql参数
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[root@RedHat sysbench-0.4.8]# ./configure --without-mysql [root@RedHat sysbench-0.4.8]# make [root@RedHat sysbench-0.4.8]# make install |
如果需要测试mysql，则需要配置参数选项：
./configure
--with-mysql-includes=/opt/mysql/include/mysql 表示mysql头文件目录
--with-mysql-libs=/opt/mysql/lib/mysql表示mysql模块目录
如股票缺少libtool请至ftp://ftp.gnu.org/gnu/libtool/下载
3 性能测试与结果分析
请查看sysbench帮助
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[root@RedHat sysbench-0.4.8]# sysbench Missing required command argument. Usage: sysbench [general-options]... --test=<test-name> [test-options]... command
General options: --num-threads=N number of threads to use [1] --max-requests=N limit for total number of requests [10000] --max-time=N limit for total execution time in seconds [0] --thread-stack-size=SIZE size of stack per thread [32K] --init-rng=[on|off] initialize random number generator [off] --test=STRING test to run --debug=[on|off] print more debugging info [off] --validate=[on|off] perform validation checks where possible [off] --help=[on|off] print help and exit
Compiled-in tests: fileio - File I/O test cpu - CPU performance test memory - Memory functions speed test threads - Threads subsystem performance test mutex - Mutex performance test oltp - OLTP test
Commands: prepare run cleanup help
See 'sysbench --test=<name> help' for a list of options for each test.
[root@RedHat sysbench-0.4.8]# |
其中通用参数
|
参数名 |
参数描述 |
|
--num-threads=N |
测试时使用的线程数，默认为1 |
|
--max-requests=N |
请求数最大现在，默认10000 |
|
-max-time=N |
执行时间最大限制，默认为0 |
|
--thread-stack-size=SIZE |
每个线程的stack大小，默认是32K |
|
--init-rng=[on|off] |
是否初始化随机数生成器 |
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--test=STRING |
运行的测试 |
|
--debug=[on|off] |
是否打印更多的debug信息 |
|
--validate=[on|off] |
是否执行有效性检查 |
|
--help=[on|off] |
打印帮助并退出 |
其中--test=STRING中的STRING可选项有：
|
STRING |
描述 |
|
fileio |
文件IO测试 |
|
cpu |
CPU性能测试 |
|
memory |
内存分配与传输速度测试 |
|
threads |
线程子系统性能测试 |
|
mutex |
互斥体性能测试 |
|
oltp |
数据库OLTP测试 |
1. 文件IO测试
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[root@RedHat test]# sysbench --test=fileio help sysbench v0.4.8: multi-threaded system evaluation benchmark
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,fastmmap,slowmmap} [sync] --file-extra-flags=STRING additional flags to use on opening 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 poss ible (0- don't merge) [0] --file-rw-ratio=N reads/writes ratio for combined test [1.5]
[root@RedHat test]# |
参数选项说明：
|
参数名 |
描述 |
|
--file-num=N |
创建的文件数目，默认为128个 |
|
--file-block-size=N |
所有IO操作中的block大小，默认是16384 |
|
--file-total-size=SIZE |
创建的文件的总大小，默认为2G |
|
--file-test-mode=STRING |
测试的访问模式，可选一下6个参数：seqwr(顺序写)/seqrewr(顺序读写)/seqrd(顺序读)/ rndwr(随机写)/rndrw(随机读写)/rndrd(随机读)； |
|
--file-io-mode=STRING |
文件操作模式,有以下四种选择：sync,async,fastmmap,slowmmap默认为sync |
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--file-extra-flags=STRING |
打开文件是的标识，有以下选择：sync,dsync,direct |
|
--file-fsync-freq=N |
在N个请求之后执行fsync()，默认值为100,0表示不执行fsync() |
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--file-fsync-all=[on|off] |
是否每一次写操作之后均执行fsync() |
|
--file-fsync-end=[on|off] |
在测试结束时执行fsync()，默认开启 |
|
--file-fsync-mode=STRING |
同步使用什么方法：fsync, fdatasync，默认为fsync |
|
--file-merged-requests=N |
尽可能的合并N个请求，0表示不合并，默认为0 |
|
--file-rw-ratio=N |
读写比例默认为1.5：1 |
测试案例：
创建2个进程，创建的文件总大小为3G，文件读写模式为随机读。
可以获取读写速度~
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[root@RedHat test]# sysbench --test=fileio --num-threads=2 --file-total-size=512M --file-test-mode=rndrw prepare （准备测试文件） sysbench v0.4.8: multi-threaded system evaluation benchmark
128 files, 4096Kb each, 512Mb total Creating files for the test... [root@RedHat test]# sysbench --test=fileio --num-threads=2 --file-total-size=512M --file-test-mode=rndrw run （运行测试） sysbench v0.4.8: multi-threaded system evaluation benchmark
Running the test with following options: Number of threads: 2
Extra file open flags: 0 128 files, 4Mb each 512Mb total file size Block size 16Kb Number of random requests for random IO: 10000 Read/Write ratio for combined random IO test: 1.50 Periodic FSYNC enabled, calling fsync() each 100 requests. Calling fsync() at the end of test, Enabled. Using synchronous I/O mode Doing random r/w test Threads started! Done.
Operations performed: 6000 Read, 4000 Write, 12800 Other = 22800 Total Read 93.75Mb Written 62.5Mb Total transferred 156.25Mb (3.2979Mb/sec) 211.07 Requests/sec executed
Test execution summary: total time: 47.3783s total number of events: 10000 total time taken by event execution: 36.6912 per-request statistics: min: 0.0000s avg: 0.0037s max: 0.2687s approx. 95 percentile: 0.0230s
Threads fairness: events (avg/stddev): 5000.0000/180.00 execution time (avg/stddev): 18.3456/0.19
[root@RedHat test]# sysbench --test=fileio --num-threads=2 --file-total-size=512M --file-test-mode=rndrw cleanup （清除测试文件） sysbench v0.4.8: multi-threaded system evaluation benchmark
Removing test files... [root@RedHat test]# |
2. CPU性能测试
Sysbench采用寻找最大素数的方式测试CPU性能：
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[root@RedHat ~]# sysbench --test=cpu help sysbench v0.4.8: multi-threaded system evaluation benchmark
cpu options: --cpu-max-prime=N upper limit for primes generator [10000]
[root@RedHat ~]# |
参数解析
|
参数名 |
描述 |
|
--cpu-max-prime=N |
素数的最大限制，默认为10000； |
测试案例
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[root@RedHat ~]# sysbench --test=cpu --cpu-max-prime=20000 run sysbench v0.4.8: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 1 Doing CPU performance benchmark Threads started! Done. Maximum prime number checked in CPU test: 20000 Test execution summary: total time: 124.1761s total number of events: 10000 total time taken by event execution: 123.3658 per-request statistics: min: 0.0051s avg: 0.0123s max: 0.1908s approx. 95 percentile: 0.0171s
Threads fairness: events (avg/stddev): 10000.0000/0.00 execution time (avg/stddev): 123.3658/0.00 [root@RedHat ~]# |
3.内存性能测试
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[root@RedHat ~]# sysbench --test=memory help sysbench v0.4.8: multi-threaded system evaluation benchmark
memory options: --memory-block-size=SIZE size of memory block for test [1K] --memory-total-size=SIZE total size of data to transfer [100G] --memory-scope=STRING memory access scope {global,local} [global] --memory-hugetlb=[on|off] allocate memory from HugeTLB pool [off] --memory-oper=STRING type of memory operations {read, write, none} [write] --memory-access-mode=STRING memory access mode {seq,rnd} [seq]
[root@RedHat ~]# |
|
参数名 |
描述 |
|
--memory-block-size=SIZE |
内存块大小，默认为1K |
|
--memory-total-size=SIZE |
传输的数据量，默认为100G |
|
--memory-scope=STRING |
内存访问是局部local还是全局global，默认为global |
|
--memory-hugetlb=[on|off] |
从hugetlb中分配内存 |
|
--memory-oper=STRING |
内存操作类型read, write, none，默认为写 |
|
--memory-access-mode=STRING |
内存访问模式seq,rnd，默认为seq； |
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[root@RedHat test]# sysbench --test=memory --memory-block-size=4k --memory-total-size=64M run |
4.线程性能测试
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[root@RedHat ~]# sysbench --test=threads help sysbench v0.4.8: multi-threaded system evaluation benchmark
threads options: --thread-yields=N number of yields to do per request [1000] --thread-locks=N number of locks per thread [8]
[root@RedHat ~]# |
|
参数名 |
描述 |
|
--thread-yields=N |
内存块大小，默认为1K |
|
--thread-locks=N |
传输的数据量，默认为100G |
测试案例
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[root@RedHat test]# sysbench --test=threads --num-threads=64 --thread-yields=100 --thread-locks=2 run sysbench v0.4.8: multi-threaded system evaluation benchmark
Running the test with following options: Number of threads: 64
Doing thread subsystem performance test Thread yields per test: 100 Locks used: 2 Threads started! Done.
Test execution summary: total time: 24.8159s total number of events: 10000 total time taken by event execution: 1575.5529 per-request statistics: min: 0.0002s avg: 0.1576s max: 2.0173s approx. 95 percentile: 0.5627s
Threads fairness: events (avg/stddev): 156.2500/12.62 execution time (avg/stddev): 24.6180/0.08
[root@RedHat test]# |
5互斥体性能测试
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[root@RedHat ~]# sysbench --test=mutex help sysbench v0.4.8: multi-threaded system evaluation benchmark
mutex options: --mutex-num=N total size of mutex array [4096] --mutex-locks=N number of mutex locks to do per thread [50000] --mutex-loops=N number of empty loops to do inside mutex lock [10000]
[root@RedHat ~]# |
|
参数名 |
描述 |
|
--mutex-num=N |
互斥体数据大小，默认为4096 |
|
--mutex-locks=N |
每个线程上互斥锁的数目，默认为50000； |
|
--mutex-loops=N |
互斥锁内空循环的数目，默认为10000 |
测试案例
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[root@RedHat test]# sysbench --test=mutex --num-threads=16 --mutex-num=1024 --mutex-locks=10000 --mutex-loops=5000 run sysbench v0.4.8: multi-threaded system evaluation benchmark
Running the test with following options: Number of threads: 16
Doing mutex performance test Threads started! Done.
Test execution summary: total time: 0.0482s total number of events: 16 total time taken by event execution: 0.2271 per-request statistics: min: 0.0015s avg: 0.0142s max: 0.0312s approx. 95 percentile: 0.0126s
Threads fairness: events (avg/stddev): 1.0000/0.00 execution time (avg/stddev): 0.0142/0.01 [root@RedHat test]# |
6 OLTP测试
不做分析了
参考资料：
http://sysbench.sourceforge.net/
http://blog.csdn.net/qiudakun/article/details/6891136
http://www.ningoo.net/html/2009/performance_test_tool_sysbench.html
