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MySQL基准测试工具-sysbench安装测验

2024-07-24 12:36:21
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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服务器主机名
  --mysql-port MySQL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
  --cpu-max-prime=N upper limit for primes generator [10000]
  sysbench    --cpu-max-prime=20000 --report-interval=10
  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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