性能测试工具sysbench简介

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法,后续准备利用sysbench来对MySQL进行一系列的测试。具体的一些参数设置,需要根据不同的测试要求来进行调整。

下载
http://sourceforge.net/projects/sysbench/

编译安装

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

./configure --prefix=/u01/sysbench \
--with-mysql-includes=/opt/mysql/include/mysql \
--with-mysql-libs=/opt/mysql/lib/mysql

make && make install

参数

NinGoo:/u01/sysbench/bin>$sysbench
Missing required command argument.
Usage:
  sysbench [general-options]... --test= [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]
  --forced-shutdown=STRING   amount of time to wait after --max-time before forcing shutdown [off]
  --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
  --version=[on|off]         print version 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 version
See 'sysbench --test= help' for a list of options for each test.

Read more of this post

MySQL的benchmark函数

MySQL实现了很多独特的函数,有时候使用起来是非常的方便,或许这就是开源的好处吧。这里记录一下benchmark函数,一个用于测试MySQL函数性能的函数。benchmark函数只有两个参数,第一个是执行次数,第二个是要测试的函数或者表达式。返回的结果始终是0,执行时间才是我们需要的结果:


mysql> select benchmark(1e8,current_date());
+——————————-+
| benchmark(1e8,current_date()) |
+——————————-+
| 0 |
+——————————-+
1 row in set (31.08 sec)

mysql> select benchmark(1e8,abs(1));
+———————–+
| benchmark(1e8,abs(1)) |
+———————–+
| 0 |
+———————–+
1 row in set (1.31 sec)

除法的效率明显不如乘法:

mysql> select benchmark(1e8,1*1);
+——————–+
| benchmark(1e8,1*1) |
+——————–+
| 0 |
+——————–+
1 row in set (1.45 sec)

mysql> select benchmark(1e8,1/1);
+——————–+
| benchmark(1e8,1/1) |
+——————–+
| 0 |
+——————–+
1 row in set (19.47 sec)

MySQL压力测试工具mysqlslap

MySQL从5.1.4版开始带有一个压力测试工具mysqlslap,通过模拟多个并发客户端访问mysql来执行测试,使用起来非常的简单。通过mysqlslap –help可以获得可用的选项,这里列一些主要的参数,更详细的说明参考官方手册

–auto-generate-sql, -a
自动生成测试表和数据

–auto-generate-sql-load-type=type
测试语句的类型。取值包括:read,key,write,update和mixed(默认)。

–number-char-cols=N, -x N
自动生成的测试表中包含多少个字符类型的列,默认1

–number-int-cols=N, -y N
自动生成的测试表中包含多少个数字类型的列,默认1

–number-of-queries=N
总的测试查询次数(并发客户数×每客户查询次数)

–query=name,-q
使用自定义脚本执行测试,例如可以调用自定义的一个存储过程或者sql语句来执行测试。

–create-schema
测试的schema,MySQL中schema也就是database

–commint=N
多少条DML后提交一次

–compress, -C
如果服务器和客户端支持都压缩,则压缩信息传递

–concurrency=N, -c N
并发量,也就是模拟多少个客户端同时执行select。可指定多个值,以逗号或者–delimiter参数指定的值做为分隔符

–engine=engine_name, -e engine_name
创建测试表所使用的存储引擎,可指定多个

–iterations=N, -i N
测试执行的迭代次数

–detach=N
执行N条语句后断开重连

–debug-info, -T
打印内存和CPU的信息

–only-print
只打印测试语句而不实际执行

测试的过程需要生成测试表,插入测试数据,这个mysqlslap可以自动生成,默认生成一个mysqlslap的schema,如果已经存在则先删除,这里要注意了,不要用–create-schema指定已经存在的库,否则后果可能很严重。可以用–only-print来打印实际的测试过程:

$mysqlslap -a –only-print
DROP SCHEMA IF EXISTS `mysqlslap`;
CREATE SCHEMA `mysqlslap`;
use mysqlslap;
CREATE TABLE `t1` (intcol1 INT(32) ,charcol1 VARCHAR(128));
INSERT INTO t1 VALUES (1804289383,’mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL’);

SELECT intcol1,charcol1 FROM t1;
INSERT INTO t1 VALUES (364531492,’qMa5SuKo4M5OM7ldvisSc6WK9rsG9E8sSixocHdgfa5uiiNTGFxkDJ4EAwWC2e4NL1BpAgWiFRcp1zIH6F1BayPdmwphatwnmzdwgzWnQ6SRxmcvtd6JRYwEKdvuWr’);
DROP SCHEMA IF EXISTS `mysqlslap`;

可以看到最后由删除一开始创建的schema的动作,整个测试完成后不会在数据库中留下痕迹。假如我们执行一次测试,分别50和100个并发,执行1000次总查询,那么:

$mysqlslap -a –concurrency=50,100 –number-of-queries 1000 –debug-info
Benchmark
Average number of seconds to run all queries: 0.375 seconds
Minimum number of seconds to run all queries: 0.375 seconds
Maximum number of seconds to run all queries: 0.375 seconds
Number of clients running queries: 50
Average number of queries per client: 20

Benchmark
Average number of seconds to run all queries: 0.453 seconds
Minimum number of seconds to run all queries: 0.453 seconds
Maximum number of seconds to run all queries: 0.453 seconds
Number of clients running queries: 100
Average number of queries per client: 10

User time 0.29, System time 0.11
Maximum resident set size 0, Integral resident set size 0
Non-physical pagefaults 4032, Physical pagefaults 0, Swaps 0
Blocks in 0 out 0, Messages in 0 out 0, Signals 0
Voluntary context switches 7319, Involuntary context switches 681

上结果可以看出,50和100个并发分别得到一次测试结果(Benchmark),并发数越多,执行完所有查询的时间越长。为了准确起见,可以多迭代测试几次:

$ mysqlslap -a –concurrency=50,100 –number-of-queries 1000 –iterations=5 –debug-info
Benchmark
Average number of seconds to run all queries: 0.380 seconds
Minimum number of seconds to run all queries: 0.377 seconds
Maximum number of seconds to run all queries: 0.385 seconds
Number of clients running queries: 50
Average number of queries per client: 20

Benchmark
Average number of seconds to run all queries: 0.447 seconds
Minimum number of seconds to run all queries: 0.444 seconds
Maximum number of seconds to run all queries: 0.451 seconds
Number of clients running queries: 100
Average number of queries per client: 10

User time 1.44, System time 0.67
Maximum resident set size 0, Integral resident set size 0
Non-physical pagefaults 17922, Physical pagefaults 0, Swaps 0
Blocks in 0 out 0, Messages in 0 out 0, Signals 0
Voluntary context switches 36796, Involuntary context switches 4093

测试同时不同的存储引擎的性能进行对比:

$ mysqlslap -a –concurrency=50,100 –number-of-queries 1000 –iterations=5 –engine=myisam,innodb –debug-info
Benchmark
Running for engine myisam
Average number of seconds to run all queries: 0.200 seconds
Minimum number of seconds to run all queries: 0.188 seconds
Maximum number of seconds to run all queries: 0.210 seconds
Number of clients running queries: 50
Average number of queries per client: 20

Benchmark
Running for engine myisam
Average number of seconds to run all queries: 0.238 seconds
Minimum number of seconds to run all queries: 0.228 seconds
Maximum number of seconds to run all queries: 0.251 seconds
Number of clients running queries: 100
Average number of queries per client: 10

Benchmark
Running for engine innodb
Average number of seconds to run all queries: 0.375 seconds
Minimum number of seconds to run all queries: 0.370 seconds
Maximum number of seconds to run all queries: 0.379 seconds
Number of clients running queries: 50
Average number of queries per client: 20

Benchmark
Running for engine innodb
Average number of seconds to run all queries: 0.443 seconds
Minimum number of seconds to run all queries: 0.440 seconds
Maximum number of seconds to run all queries: 0.447 seconds
Number of clients running queries: 100
Average number of queries per client: 10

User time 2.83, System time 1.66
Maximum resident set size 0, Integral resident set size 0
Non-physical pagefaults 34692, Physical pagefaults 0, Swaps 0
Blocks in 0 out 0, Messages in 0 out 0, Signals 0
Voluntary context switches 87306, Involuntary context switches 10326

压力测试和展示工具Swingbench简介

swingbench
上次在OOW了解到一个压力测试工具Swingbench,这是Oracle UK的一个员工在一个被抛弃的项目的基础上开发的。目前稳定版本2.2,最新版本2.3,基于JDK1.5。该工具是免费的,可以在作者的网站(国内无法访问,需要使用代理,推荐Torpack,最新版已经改名叫XeroBank Browser)上自由下载,并且拥有详细的使用文档。除了Swingbench,作者还开发了两个相关工具:测试数据生成工具DataGenerator和跟踪文件分析工具Trace Analyzer

Read more of this post

无觅相关文章插件,快速提升流量