服务器性能测试利器之sysbench
前言
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。sysbench是基于LuaJIT的可编写脚本的多线程基准测试工具。
sysbench附带以下捆绑的基准测试:
oltp_*.lua
:类似OLTP的数据库基准测试的集合fileio
:文件系统级基准cpu
:简单的CPU基准测试memory
:内存访问基准threads
:基于线程的调度程序基准mutex
:POSIX互斥基准测试
特征
- 提供有关速率和延迟的大量统计信息,包括延迟百分位数和直方图;
- 即使有数千个并发线程,开销也很低。sysbench每秒能够生成和跟踪数亿个事件。
- 通过在用户提供的Lua脚本中实现预定义的挂钩,可以轻松创建新的基准测试;
- 可以也可以作为一个通用的Lua解释,只需更换
#!/usr/bin/lua
用#!/usr/bin/sysbench
在你的脚本。
安装
安装以Centos为例,其他版本或者mac请参考sysbench说明
1.下载安转
wget https://github.com/akopytov/sysbench/archive/1.0.zip -O "sysbench-1.0.zip" unzip sysbench-1.0.zip cd sysbench-1.0
//安装依赖
yum install -y automake libtool
2.编译安装
./autogen.sh ./configure export LD_LIBRARY_PATH=/usr/include/mysql make make install
3.监测是否安装成功
[root@guanbin-k8s-master ~]# sysbench --version sysbench 1.0.19
测试
1. cpu测试
cpu测试主要是进行素数的加法运算,我们的例子中,指定了最大的质数发生器数量为 20000
[root@guanbin-k8s-master ~]# sysbench --test=cpu --cpu-max-prime=20000 run WARNING: the --test option is deprecated. You can pass a script name or path on the command line without any options. sysbench 1.0.19 (using bundled LuaJIT 2.1.0-beta2) Running the test with following options: Number of threads: 1 Initializing random number generator from current time Prime numbers limit: 20000 Initializing worker threads... Threads started! CPU speed: events per second: 168.59 General statistics: total time: 10.0027s total number of events: 1687 Latency (ms): min: 5.63 avg: 5.93 max: 66.09 95th percentile: 6.43 sum: 9999.10 Threads fairness: events (avg/stddev): 1687.0000/0.00 execution time (avg/stddev): 9.9991/0.00
执行时间 大约为10秒(这个测试最好是两台机器进行对比测试,才能发现那个机器有问题)
[root@guanbin-k8s-master ~]# sysbench --test=memory --memory-block-size=8k --memory-total-size=10G run WARNING: the --test option is deprecated. You can pass a script name or path on the command line without any options. sysbench 1.0.19 (using bundled LuaJIT 2.1.0-beta2) Running the test with following options: Number of threads: 1 Initializing random number generator from current time Running memory speed test with the following options: block size: 8KiB total size: 10240MiB operation: write scope: global Initializing worker threads... Threads started! Total operations: 1310720 (724931.70 per second) 10240.00 MiB transferred (5663.53 MiB/sec) General statistics: total time: 1.8045s total number of events: 1310720 Latency (ms): min: 0.00 avg: 0.00 max: 12.44 95th percentile: 0.00 sum: 1441.61 Threads fairness: events (avg/stddev): 1310720.0000/0.00 execution time (avg/stddev): 1.4416/0.00
totaltime为1.8045s
3.对disk 的IO测试
新建一个临时目录,并确保磁盘剩余空间足够(--file-total-size不要超过剩余容量)
测试场景:16个线程,创建128个文件,总共占用磁盘空间10GB,测试磁盘读写效率
运行结束后要删除临时测试文件: rm -rf test_file.*
root@guanbin-k8s-master tmp]# sysbench --test=fileio --num-threads=16 --file-total-size=1G --file-test-mode=rndrw prepare
WARNING: the --test option is deprecated. You can pass a script name or path on the command line without any options.
WARNING: --num-threads is deprecated, use --threads instead
sysbench 1.0.19 (using bundled LuaJIT 2.1.0-beta2)
128 files, 8192Kb each, 1024Mb total
Creating files for the test...
Extra file open flags: (none)
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1073741824 bytes written in 110.77 seconds (9.24 MiB/sec).
[root@guanbin-k8s-master tmp]# sysbench --test=fileio --num-threads=16 --file-total-size=1G --file-test-mode=rndrw run
WARNING: the --test option is deprecated. You can pass a script name or path on the command line without any options.
WARNING: --num-threads is deprecated, use --threads instead
sysbench 1.0.19 (using bundled LuaJIT 2.1.0-beta2)
Running the test with following options:
Number of threads: 16
Initializing random number generator from current time
Extra file open flags: (none)
128 files, 8MiB each
1GiB total file size
Block size 16KiB
Number of IO requests: 0
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
Initializing worker threads...
Threads started!
File operations:
reads/s: 157.44
writes/s: 104.96
fsyncs/s: 480.79
Throughput:
read, MiB/s: 2.46
written, MiB/s: 1.64
General statistics:
total time: 13.3355s
total number of events: 7865
Latency (ms):
min: 0.00
avg: 20.61
max: 1115.85
95th percentile: 142.39
sum: 162071.40
Threads fairness:
events (avg/stddev): 491.5625/141.20
execution time (avg/stddev): 10.1295/0.03
- (1)尽量不要在MySQL服务器运行的机器上进行测试,一方面可能无法体现网络(哪怕是局域网)的影响,另一方面,sysbench的运行(尤其是设置的并发数较高时)会影响MySQL服务器的表现。
- (2)可以逐步增加客户端的并发连接数(--thread参数),观察在连接数不同情况下,MySQL服务器的表现;如分别设置为10,20,50,100等。
- (3)一般执行模式选择complex即可,如果需要特别测试服务器只读性能,或不使用事务时的性能,可以选择simple模式或nontrx模式。
- (4)如果连续进行多次测试,注意确保之前测试的数据已经被清理干净。
下面是sysbench使用的一个例子:
注意:先准备数据库
mysql> create database sbtest;
其中,执行模式为complex,使用了10个表,每个表有10万条数据,客户端的并发线程数为10,执行时间为120秒,每10秒生成一次报告。
sysbench ./tests/include/oltp_legacy/oltp.lua --mysql-host={yourhostip} --mysql-port=3306 --mysql-user={username} --mysql-password={password} --oltp-test-mode=complex --mysql-table-engine=innodb --oltp-tables-count=10 --oltp-table-size=100000 --threads=10 --time=120 --report-interval=10 prepare
其中的hostip、username、password请自行切换为自己真实的环境数据
查看执行结果
sysbench ./tests/include/oltp_legacy/oltp.lua --mysql-host={yourhostip} --mysql-port=3306 --mysql-user={username} --mysql-password={password} --oltp-test-mode=complex --oltp-tables-count=10 --oltp-table-size=100000 --threads=10 --time=120 --report-interval=10 run
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: 17.19 qps: 362.78 (r/w/o: 254.64/72.76/35.38) lat (ms,95%): 1589.90 err/s: 0.00 reconn/s: 0.00 [ 20s ] thds: 10 tps: 33.50 qps: 670.08 (r/w/o: 469.06/134.02/67.01) lat (ms,95%): 530.08 err/s: 0.00 reconn/s: 0.00 [ 30s ] thds: 10 tps: 39.30 qps: 786.00 (r/w/o: 550.20/157.20/78.60) lat (ms,95%): 458.96 err/s: 0.00 reconn/s: 0.00 [ 40s ] thds: 10 tps: 38.80 qps: 775.45 (r/w/o: 543.16/154.69/77.59) lat (ms,95%): 634.66 err/s: 0.00 reconn/s: 0.00 [ 50s ] thds: 10 tps: 30.10 qps: 602.54 (r/w/o: 421.43/120.91/60.20) lat (ms,95%): 590.56 err/s: 0.00 reconn/s: 0.00 [ 60s ] thds: 10 tps: 33.90 qps: 678.00 (r/w/o: 474.60/135.60/67.80) lat (ms,95%): 419.45 err/s: 0.00 reconn/s: 0.00 [ 70s ] thds: 10 tps: 29.50 qps: 589.98 (r/w/o: 412.99/118.00/59.00) lat (ms,95%): 787.74 err/s: 0.00 reconn/s: 0.00 [ 80s ] thds: 10 tps: 39.90 qps: 798.02 (r/w/o: 558.62/159.60/79.80) lat (ms,95%): 569.67 err/s: 0.00 reconn/s: 0.00 [ 90s ] thds: 10 tps: 38.10 qps: 761.99 (r/w/o: 533.40/152.40/76.20) lat (ms,95%): 484.44 err/s: 0.00 reconn/s: 0.00 [ 100s ] thds: 10 tps: 43.90 qps: 877.99 (r/w/o: 614.60/175.60/87.80) lat (ms,95%): 383.33 err/s: 0.00 reconn/s: 0.00 [ 110s ] thds: 10 tps: 37.80 qps: 756.00 (r/w/o: 529.20/151.20/75.60) lat (ms,95%): 530.08 err/s: 0.00 reconn/s: 0.00 [ 120s ] thds: 10 tps: 44.40 qps: 888.01 (r/w/o: 621.60/177.60/88.80) lat (ms,95%): 419.45 err/s: 0.00 reconn/s: 0.00 SQL statistics: queries performed: read: 59836 write: 17096 other: 8548 total: 85480 transactions: 4274 (35.59 per sec.) queries: 85480 (711.77 per sec.) ignored errors: 0 (0.00 per sec.) reconnects: 0 (0.00 per sec.) General statistics: total time: 120.0919s total number of events: 4274 Latency (ms): min: 50.07 avg: 280.96 max: 2486.17 95th percentile: 559.50 sum: 1200810.10 Threads fairness: events (avg/stddev): 427.4000/4.20 execution time (avg/stddev): 120.0810/0.01
其中,对于我们比较重要的信息包括:
queries:查询总数及qps
transactions:事务总数及tps
Latency-95th percentile:前95%的请求的最大响应时间,本例中是344毫秒,这个延迟非常大,是因为我用的MySQL服务器性能很差;在正式环境中这个数值是绝对不能接受的。
最后清理数据:
sysbench ./tests/include/oltp_legacy/oltp.lua --mysql-host={yourhostip} --mysql-port=3306 --mysql-user={username} --mysql-password={password} --oltp-tables-count=10 cleanup
清理的日志输出
sysbench 1.0.19 (using bundled LuaJIT 2.1.0-beta2) Dropping table 'sbtest1'... Dropping table 'sbtest2'... Dropping table 'sbtest3'... Dropping table 'sbtest4'... Dropping table 'sbtest5'... Dropping table 'sbtest6'... Dropping table 'sbtest7'... Dropping table 'sbtest8'... Dropping table 'sbtest9'... Dropping table 'sbtest10'...
作者:guanbin —— 纵码万里千山
出处:https://www.cnblogs.com/guanbin-529/
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