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）

2.对内存（memory）进行测试 

   测试是在内存中传输 10G 的数据量，每个 block 大小为 8K

[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)
Creating file test_file.0
Creating file test_file.1
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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　　

吞吐量：读2.46MiB/s，写1.64MiB/s; 95%延迟 142.39ms

 

4.测试mysql性能

       测试时使用的脚本为lua脚本，可以使用sysbench自带脚本，也可以自己开发。对于大多数应用，使用sysbench自带的脚本就足够了。不同版本的sysbench中，lua脚本的位置可能不同，可以自己在sysbench路径下使用find命令搜索oltp.lua。

     P.S.：大多数数据服务都是oltp类型的，如果你不了解什么是oltp，那么大概率你的数据服务就是oltp类型的。MySQL OLTP（On-Line Transaction Processing联机事务处理过程）；

• （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'...