作者:骏马金龙\
出处:https://www.cnblogs.com/f-ck-...

1.简介和装置

sysbench是一个很不错的数据库性能测试工具。

官方站点:

https://github.com/akopytov/s...

rpm包下载:

https://packagecloud.io/akopy...

源码包下载:

https://github.com/akopytov/s...

如果是编译装置,须要先装置好mysql的开发包(只管编译谬误时提醒的是短少Mysql库文件)。

yum -y install mysql-community-develtar xf 1.0.15.tar.gzcd sysbench-1.0.15./autogen.sh./configuremake -jmake install

装置后,只有一个二进制文件sysbench,还提供了很多个lua脚本。

[root@s1 ~]# rpm -ql sysbench | grep 'bin\|lua'  /usr/bin/sysbench/usr/share/sysbench/bulk_insert.lua/usr/share/sysbench/oltp_common.lua/usr/share/sysbench/oltp_delete.lua/usr/share/sysbench/oltp_insert.lua/usr/share/sysbench/oltp_point_select.lua/usr/share/sysbench/oltp_read_only.lua/usr/share/sysbench/oltp_read_write.lua/usr/share/sysbench/oltp_update_index.lua/usr/share/sysbench/oltp_update_non_index.lua/usr/share/sysbench/oltp_write_only.lua/usr/share/sysbench/select_random_points.lua/usr/share/sysbench/select_random_ranges.lua/usr/share/sysbench/tests/include/inspect.lua/usr/share/sysbench/tests/include/oltp_legacy/bulk_insert.lua/usr/share/sysbench/tests/include/oltp_legacy/common.lua/usr/share/sysbench/tests/include/oltp_legacy/delete.lua/usr/share/sysbench/tests/include/oltp_legacy/insert.lua/usr/share/sysbench/tests/include/oltp_legacy/oltp.lua/usr/share/sysbench/tests/include/oltp_legacy/oltp_simple.lua/usr/share/sysbench/tests/include/oltp_legacy/parallel_prepare.lua/usr/share/sysbench/tests/include/oltp_legacy/select.lua/usr/share/sysbench/tests/include/oltp_legacy/select_random_points.lua/usr/share/sysbench/tests/include/oltp_legacy/select_random_ranges.lua/usr/share/sysbench/tests/include/oltp_legacy/update_index.lua/usr/share/sysbench/tests/include/oltp_legacy/update_non_index.lua

本文介绍的是新版本sysbench oltp lua脚本的用法(/usr/share/sysbench/*.lua),所以不波及传统的lua(tests/include/oltp_legacy/*.lua),如果想要理解这些传统Lua脚本的用法,网上轻易找。

2.sysbench应用办法

以下列出了sysbench对测试mysql时罕用的选项。

[root@xuexi ~]# sysbench --helpUsage:  sysbench [options]... [test_lua] [lua_options] [command]Commands implemented by most tests: prepare run cleanup help通用选项:以下中括号中的值示意默认值  --threads=N                     指定线程数[1]  --events=N                      限度最大申请数,0示意不限度[0]  --time=N                        限度最长执行工夫,0示意不限度[10]                    --events和--time二者选一即可  --forced-shutdown=STRING        达到最长执行工夫后还需期待多久敞开sysbench                                  off示意禁用该性能[off]  --thread-stack-size=SIZE        每个线程应用的栈空间大小[64K]  --rate=N                        均匀事务处理速率,0示意不限度[0]  --report-interval=N             每隔几秒报告一次后果,0示意禁用距离报告[0]  --config-file=FILENAME          从文件中读取命令行选项  --tx-rate=N                     已废除,是--rate的别名[0]  --max-requests=N                已废除,是--events的别名[0]  --max-time=N                    已废除,是--time的别名[0]  --num-threads=N                 已废除,是--threads的别名[1]  --db-ps-mode=STRING             是否应用prepare模式的语句 {auto, disable} [auto]mysql相干选项:  --mysql-host=[LIST,...]          MySQL server host [localhost]  --mysql-port=[LIST,...]          MySQL server port [3306]  --mysql-socket=[LIST,...]        MySQL socket  --mysql-user=STRING              MySQL user [sbtest]  --mysql-password=STRING          MySQL password []  --mysql-db=STRING                MySQL database name [sbtest]  --mysql-ignore-errors=[LIST,...] 要疏忽的错误代码,值可为"all" [1213,1020,1205]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

其中,command局部有4类:prepare run cleanup和help:

  • prepare:筹备数据的命令。例如,在sysbench压力测试之前,须要先筹备好测试库、测试表以及测试表中的数据。具体用法见后文。
  • run:示意进行压力测试。
  • cleanup:革除测试时产生的数据。
  • help:输入给定lua脚本的帮忙信息。

test_lua是想要应用的lua脚本,如果是rpm包装置的sysbench,则这些脚本都是/usr/share/sysbench目录下。对于个别的数据库测试,只需应用和oltp无关的lua脚本就足够。

options和lua_options是不同的,options是sysbench的选项,lua_options是lua脚本的选项,lua_options应该要放在test_lua的前面(非必须,但倡议)。

例如,要查看oltp_common.lua的用法,能够:

sysbench /usr/share/sysbench/oltp_common.lua help

3.筹备测试数据

首先创立sysbench所需数据库sbtest(这是sysbench默认应用的库名,必须创立测试库)。

mysqladmin -h127.0.0.1 -uroot -pP@ssword1! -P3306 create sbtest;

而后,筹备测试所用的表,这些测试表放在测试库sbtest中。这里应用的lua脚本为/usr/share/sysbench/oltp_common.lua

sysbench --mysql-host=127.0.0.1 \         --mysql-port=3306 \         --mysql-user=root \         --mysql-password=P@ssword1! \         /usr/share/sysbench/oltp_common.lua \         --tables=10 \         --table_size=100000 \         prepare

其中--tables=10示意创立10个测试表,--table_size=100000示意每个表中插入10W行数据,prepare示意这是筹备数的过程。

mysql> show tables from sbtest;+------------------+| Tables_in_sbtest |+------------------+| sbtest1          || sbtest10         || sbtest2          || sbtest3          || sbtest4          || sbtest5          || sbtest6          || sbtest7          || sbtest8          || sbtest9          |+------------------+mysql> select count(*) from sbtest.sbtest1;+----------+| count(*) |+----------+|   100000 |+----------+

如果想要革除这10个表,可应用cleanup命令。

sysbench --mysql-host=127.0.0.1 \         --mysql-port=3306 \         --mysql-user=root \         --mysql-password=P@ssword1! \         /usr/share/sysbench/oltp_common.lua \         --tables=10 \         cleanup

4.数据库测试和后果剖析

略微批改下之前筹备数据的语句,就能够拿来测试了。

须要留神的是,之前应用的lua脚本为oltp_common.lua,它是一个通用脚本,是被其它lua脚本调用的,它不能间接拿来测试。

所以,我这里用oltp_read_write.lua脚本来做读、写测试。还有很多其它类型的测试,比方只读测试、只写测试、删除测试、大批量插入测试等等。可找到对应的lua脚本进行调用即可。

sysbench --threads=4 \         --time=20 \         --report-interval=5 \         --mysql-host=127.0.0.1 \         --mysql-port=3306 \         --mysql-user=root \         --mysql-password=P@ssword1! \         /usr/share/sysbench/oltp_read_write.lua \         --tables=10 \         --table_size=100000 \         run

以下是测试返回的后果:

Initializing worker threads...Threads started!####以下是每5秒返回一次的后果,统计的指标包含:#### 线程数、tps(每秒事务数)、qps(每秒查问数)、#### 每秒的读/写/其它次数、提早、每秒谬误数、每秒重连次数[ 5s ] thds: 4 tps: 130.16 qps: 2606.30 (r/w/o: 1824.51/520.66/261.13) lat (ms,95%): 104.84 err/s: 0.00 reconn/s: 0.00[ 10s ] thds: 4 tps: 126.74 qps: 2539.17 (r/w/o: 1778.17/507.52/253.47) lat (ms,95%): 108.68 err/s: 0.00 reconn/s: 0.00[ 15s ] thds: 4 tps: 136.54 qps: 2736.34 (r/w/o: 1915.25/548.01/273.07) lat (ms,95%): 102.97 err/s: 0.00 reconn/s: 0.00[ 20s ] thds: 4 tps: 107.44 qps: 2148.65 (r/w/o: 1505.60/428.17/214.89) lat (ms,95%): 132.49 err/s: 0.00 reconn/s: 0.00SQL statistics:    queries performed:        read:          35098   # 执行的读操作数量        write:         10028   # 执行的写操作数量        other:         5014    # 执行的其它操作数量        total:         50140    transactions:      2507   (124.29 per sec.)    # 执行事务的均匀速率    queries:           50140  (2485.82 per sec.)   # 均匀每秒能执行多少次查问    ignored errors:    0      (0.00 per sec.)    reconnects:        0      (0.00 per sec.)General statistics:    total time:                  20.1694s     # 总耗费工夫    total number of events:      2507         # 总申请数量(读、写、其它)Latency (ms):         min:                            2.32         avg:                           32.13         max:                          575.78         95th percentile:              118.92    # 采样计算的均匀提早         sum:                        80554.96Threads fairness:    events (avg/stddev):           626.7500/2.49    execution time (avg/stddev):   20.1387/0.04

5.cpu/io/内存等测试

sysbench内置了几个测试指标。

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

可间接help输入测试方法。例如,fileio测试。

[root@xuexi ~]# sysbench fileio helpsysbench 1.0.15 (using bundled LuaJIT 2.1.0-beta2)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-async-backlog=N        number of asynchronous operatons to queue per thread [128]  --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]

例如,创立5个文件,总共1G,每个文件大略200M。

sysbench fileio --file-num=5 --file-total-size=1G prepare[root@xuexi ~]# ls -lh test*-rw------- 1 root root 205M Jul  8 12:15 test_file.0-rw------- 1 root root 205M Jul  8 12:15 test_file.1-rw------- 1 root root 205M Jul  8 12:15 test_file.2-rw------- 1 root root 205M Jul  8 12:15 test_file.3-rw------- 1 root root 205M Jul  8 12:15 test_file.4

而后,运行测试。

sysbench --events=5000 \         --threads=16 \         fileio \         --file-num=5 \         --file-total-size=1G \         --file-test-mode=rndrw \         --file-fsync-freq=0 \         --file-block-size=16384 \         run

后果:

File operations:    reads/s:                      98.67    writes/s:                     66.85    fsyncs/s:                     6.26Throughput:     # 吞吐量    read, MiB/s:                  1.54  # 示意读的带宽    written, MiB/s:               1.04  # 示意读的带宽General statistics:    total time:                   12.7426s    total number of events:       2117Latency (ms):         min:                          0.00         avg:                         86.66         max:                       2919.41         95th percentile:            646.19         sum:                     183460.80Threads fairness:    events (avg/stddev):          132.3125/24.19    execution time (avg/stddev):  11.4663/1.09

再比例cpu性能测试:

[root@xuexi ~]# sysbench cpu --threads=40 --events=10000 --cpu-max-prime=20000 runsysbench 1.0.15 (using bundled LuaJIT 2.1.0-beta2)Running the test with following options:Number of threads: 40Initializing random number generator from current timePrime numbers limit: 20000Initializing worker threads...Threads started!CPU speed:    events per second:  2127.81General statistics:    total time:                          4.6986s    total number of events:              10000Latency (ms):         min:                                    1.72         avg:                                   18.16         max:                                  302.17         95th percentile:                      110.66         sum:                               181628.49Threads fairness:    events (avg/stddev):           250.0000/30.81    execution time (avg/stddev):   4.5407/0.10

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