下文主要给大家带来MySQL基准测试工具sysbench的安装测试教程，希望这些内容能够带给大家实际用处，这也是我编辑MySQL基准测试工具sysbench的安装测试教程这篇文章的主要目的。好了，废话不多说，大家直接看下文吧。
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环境：CentOS6.5，MySQL5.7.22
1.下载 sysbench下载地址
2.安装
tar -zxvf sysbench-1.1.0.tar.gz
yum install automake libtool –y #安装依赖包
cd sysbench-0.4.12.14
./autogen.sh
./configure --with-mysql-includes=/usr/local/mysql/include --with-mysql-libs=/usr/local/mysql/lib --with-mysql
export LD_LIBRARY_PATH=/usr/local/mysql/include #这里换成机器中mysql路径下的include
make
make install
sysbench --version # 检验安装是否成功
3.简介
sysbench是跨平台的基准测试工具，支持多线程，支持多种数据库，主要包括以下几种测试：
- CPU性能
- 磁盘io性能
- 调度程序性能
- 内存分配及传输速度
- POSIX线程性能
- 数据库性能（基于OLTP的基本测试）
4.sysbench语法 sysbench [options] [testname] [command] - command sysbench要执行的命令，包括prepare，run，cleanup。
- testname 指定要进行的测试
options
- --mysql-host MySQL云服务器主机名
- --mysql-port MySQL云服务器端口，默认为3306
- --mysql-user MySQL用户名
- --mysql-password MySQL密码
- --oltp-test-mode 执行模式，默认为complex
- --oltp-tables-size 测试表的大小
- --oltp-tables-count 测试表的数量
- --threads 客户端的并发连接
- --time 测试执行的时间
5.测试实例
- CPU测试
- fileio测试
*4个线程，随机读写，每10s输出一次结果[root@slave1 sysbench-master]# sysbench fileio help
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
fileio options:
--file-num=N number of files to create [128] #需要创建的文件数，默认为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] 创建的文件总大小
--file-test-mode=STRING test mode {seqwr, seqrewr, seqrd, rndrd, rndwr, rndrw} #读写方式
--file-io-mode=STRING file operations mode {sync,async,mmap} [sync] # 文件操作模式{sync(同步),async(异步),fastmmap(快速map映射),slowmmap(慢map映射)}。默认是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} [] #使用额外的标志来打开文件{sync,dsync,direct} 。默认为空
--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] #使用哪种方法进行同步{fsync, fdatasync}。默认是fsync
--file-merged-requests=N merge at most this number of IO requests if possible (0 - don't merge) [0] #如果可以，合并最多的IO请求数(0–表示不合并)。默认是0
--file-rw-ratio=N reads/writes ratio for combined test [1.5] #测试时的读写比例。默认是1.5
[root@slave1 sysbench-master]# sysbench --threads=4 --file-test-mode=rndwr --report-interval=10 fileio prepare #准备阶段
[root@slave1 sysbench-master]# sysbench --threads=4 --time=60 --report-interval=10 --file-test-mode=rndrw fileio run
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 4
Report intermediate results every 10 second(s)
Initializing random number generator from current time
Extra file open flags: (none)
128 files, 16MiB each
2GiB 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!
[ 10s ] reads: 3.65 MiB/s writes: 2.44 MiB/s fsyncs: 494.49/s latency (ms,95%): 30.265
[ 20s ] reads: 3.00 MiB/s writes: 2.00 MiB/s fsyncs: 412.60/s latency (ms,95%): 34.954
[ 30s ] reads: 3.28 MiB/s writes: 2.19 MiB/s fsyncs: 444.19/s latency (ms,95%): 35.589
[ 40s ] reads: 3.19 MiB/s writes: 2.13 MiB/s fsyncs: 434.41/s latency (ms,95%): 38.247
[ 50s ] reads: 3.00 MiB/s writes: 2.00 MiB/s fsyncs: 410.90/s latency (ms,95%): 37.565
[ 60s ] reads: 3.09 MiB/s writes: 2.06 MiB/s fsyncs: 419.19/s latency (ms,95%): 35.589
Throughput:
read: IOPS=204.22 3.19 MiB/s (3.35 MB/s)
write: IOPS=136.15 2.13 MiB/s (2.23 MB/s)
fsync: IOPS=442.70
Latency (ms):
min: 0.00
avg: 5.14
max: 310.70
95th percentile: 35.59
sum: 239996.51
[root@slave1 sysbench-master]# sysbench --threads=4 --time=60 --report-interval=10 --file-test-mode=rndrw fileio cleanup #清理文件
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Removing test files...
- 内存测试
- 测试4个线程，60秒，每10秒输出一次报告信息，总内存大小100G，随机访问模式
[root@slave1 sysbench-master]# sysbench --threads=4 --time=60 --report-interval=10 --memory-total-size=100G --memory-access-mode=rnd memory run
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 4
Report intermediate results every 10 second(s)
Initializing random number generator from current time
Running memory speed test with the following options:
block size: 1KiB
total size: 102400MiB
operation: write
scope: global
Initializing worker threads...
Threads started!
[ 10s ] 671.96 MiB/sec
[ 20s ] 672.65 MiB/sec
[ 30s ] 667.18 MiB/sec
[ 40s ] 675.73 MiB/sec
[ 50s ] 676.82 MiB/sec
Total operations: 41341475 (689021.00 per second)
40372.53 MiB transferred (672.87 MiB/sec)
Throughput:
events/s (eps): 689021.0010
time elapsed: 60.0003s
total number of events: 41341475
Latency (ms):
min: 0.00
avg: 0.01
max: 20.25
95th percentile: 0.00
sum: 218390.97
Threads fairness:
events (avg/stddev): 10335368.7500/59009.67
execution time (avg/stddev): 54.5977/0.14
- MySQL测试
- 压测实例，4张表，每张表10W条记录，压测120秒
sysbench --db-driver=mysql --time=120 --threads=4 --report-interval=10 --mysql-host=localhost --mysql-port=2433 --mysql-socket=/data/mysqldata/mysql.sock --mysql-user=7roaddba --mysql-password=y%6bm@3o_q1a --mysql-db=inc --tables=4 --table-size=100000 oltp_read_write prepare ##准备
sysbench --db-driver=mysql --time=120 --threads=4 --report-interval=10 --mysql-host=localhost --mysql-port=3306 --mysql-socket=/data/mysqldata/mysql.sock --mysql-user=7roaddba --mysql-password=y%6bm@3o_q1a --mysql-db=inc --tables=4 --table-size=100000 oltp_read_write run ##测试
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 4
Report intermediate results every 10 second(s)
Initializing random number generator from current time
Initializing worker threads...
Threads started!
[ 10s ] thds: 4 tps: 111.37 qps: 2233.72 (r/w/o: 1564.69/445.88/223.14) lat (ms,95%): 101.13 err/s: 0.00 reconn/s: 0.00
[ 20s ] thds: 4 tps: 197.50 qps: 3950.22 (r/w/o: 2764.42/790.80/395.00) lat (ms,95%): 44.98 err/s: 0.00 reconn/s: 0.00
[ 30s ] thds: 4 tps: 211.10 qps: 4222.06 (r/w/o: 2955.87/843.99/422.20) lat (ms,95%): 44.17 err/s: 0.00 reconn/s: 0.00
[ 40s ] thds: 4 tps: 213.70 qps: 4272.79 (r/w/o: 2991.39/854.00/427.40) lat (ms,95%): 43.39 err/s: 0.00 reconn/s: 0.00
[ 50s ] thds: 4 tps: 211.80 qps: 4239.27 (r/w/o: 2967.15/848.41/423.71) lat (ms,95%): 43.39 err/s: 0.10 reconn/s: 0.00
[ 60s ] thds: 4 tps: 223.10 qps: 4459.15 (r/w/o: 3121.36/891.59/446.19) lat (ms,95%): 41.85 err/s: 0.00 reconn/s: 0.00
[ 70s ] thds: 4 tps: 190.40 qps: 3811.24 (r/w/o: 2667.73/762.71/380.80) lat (ms,95%): 45.79 err/s: 0.00 reconn/s: 0.00
[ 80s ] thds: 4 tps: 183.00 qps: 3660.05 (r/w/o: 2561.97/732.09/366.00) lat (ms,95%): 43.39 err/s: 0.00 reconn/s: 0.00
[ 90s ] thds: 4 tps: 211.60 qps: 4226.63 (r/w/o: 2958.32/845.11/423.20) lat (ms,95%): 44.17 err/s: 0.00 reconn/s: 0.00
[ 100s ] thds: 4 tps: 213.30 qps: 4272.92 (r/w/o: 2991.64/854.58/426.69) lat (ms,95%): 39.65 err/s: 0.10 reconn/s: 0.00
[ 110s ] thds: 4 tps: 212.51 qps: 4249.12 (r/w/o: 2974.88/849.22/425.01) lat (ms,95%): 41.10 err/s: 0.00 reconn/s: 0.00
[ 120s ] thds: 4 tps: 183.00 qps: 3660.19 (r/w/o: 2561.80/732.40/366.00) lat (ms,95%): 51.94 err/s: 0.00 reconn/s: 0.00
SQL statistics:
queries performed:
read: 330820 #总select数量
write: 94513 # 总update，insert，delete数量
other: 47258 ##commit，unlock tables 数量
total: 472591
transactions: 23628 (196.88 per sec.) #通常需要关注的数字(TPS)
queries: 472591 (3937.94 per sec.) #
ignored errors: 2 (0.02 per sec.) # 忽略的错误数
reconnects: 0 (0.00 per sec.)
Throughput:
events/s (eps): 196.8840
time elapsed: 120.0098s
total number of events: 23628 #总的事件数
Latency (ms):
min: 6.03
avg: 20.31
max: 847.12
95th percentile: 44.98
sum: 479909.87
Threads fairness:
events (avg/stddev): 5907.0000/60.54 execution time (avg/stddev): 119.9775/0.00
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