我们需要知道的是sysbench并不是一个压力测试工具，是一个基准测试工具。linux自带的版本比较低，我们需要自己安装sysbench。
[root@test2 ~]# sysbench --version sysbench 0.4.12
安装sysbench，sysbench的源码托管在GitHub上，下载源码：
unzip sysbench-master.zip #解压源码yum -y install make automake libtool pkgconfig libaio-devel #下载依赖包 cd sysbench-mastersh autogen.sh编译： ./configure --with-mysql-includes=/usr/local/mysql/include --with-mysql-libs=/usr/local/mysql/lib #根据安装的MySQL的位置，设置目录位置makemake install这样安装之后使用sysbench命令时会报错。 [root@test3 sysbench-master]# sysbench --version sysbench: error while loading shared libraries: libmysqlclient.so.20: cannot open shared object file: No such file or directory 解决办法： 在/etc/profile文件中加入一行： export LD_LIBRARY_PATH=/usr/local/mysql/lib source /etc/profile 命令可以正常使用 [root@test3 sysbench-master]# sysbench --version sysbench 1.1.0
查看sysbench的一些帮助信息：
[root@test3 ~]# sysbench --help Usage: sysbench [options]... [testname] [command] Commands implemented by most tests: prepare run cleanup help General options: --threads=N number of threads to use [1] #线程的数量，默认是1 --events=N limit for total number of events [0] #限制的最大事件数量，默认是0，不限制 --time=N limit for total execution time in seconds [10] #整个测试执行的时间 --warmup-time=N #在进行基准测试多少秒之后启用统计信息--forced-shutdown=STRING #超过--time时间限制后，强制中断，默认是【off】 --thread-stack-size=SIZE size of stack per thread [64K] --thread-init-timeout=N wait time in seconds for worker threads to initialize [30] --rate=N average transactions rate. 0 for unlimited rate [0] --report-interval=N #打印出中间的信念，N表示每隔N秒打印一次，0表示禁用--report-checkpoints=[LIST,...] #转储完全统计信息并在指定时间点复位所有计数器，参数是逗号分隔值的列表，表示从必须执行报告检查点的测试开始所经过的时间（以秒为单位）。 默认情况下，报告检查点处于关闭状态[off]。--debug[=on|off] print more debugging info [off] --validate[=on|off] #在可能情况下执行验证检查，默认是[off] --help[=on|off] print help and exit [off] --version[=on|off] print version and exit [off] --config-file=FILENAME File containing command line options --luajit-cmd=STRING perform LuaJIT control command. This option is equivalent to 'luajit -j'. See LuaJIT documentation for more information #上面是一些通用的配置信息，在具体测试某个测试时，会再详细说明参数设置
首先来进行IO测试
[root@test3 ~]# sysbench fileio help #查看IO测试的文档
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
fileio options: --file-num=N number of files to create [128] #文件的数量 --file-block-size=N block size to use in all IO operations [16384] #文件块的大小，如果要是针对INNODB的测试，可以设置为innodb_page_size的大小 --file-total-size=SIZE total size of files to create [2G] #文件的总大小 --file-test-mode=STRING test mode {seqwr【顺序写】, seqrewr【顺序读写】, seqrd【顺序读】, rndrd【随机读】, rndwr【随机写】, rndrw【随机读写】} #文件测试模式 --file-io-mode=STRING file operations mode {sync【同步】,async【异步】,mmap【map映射】} [默认为：sync] #文件的io模式 --file-async-backlog=N number of asynchronous operatons to queue per thread [128] #打开文件时的选项，这是与API相关的参数。 --file-extra-flags=[LIST,...] #打开文件时的选项，这是与API相关的参数。可选有sync，dsync，direct。--file-fsync-freq=N #执行fsync函数的频率，fsync主要是同步磁盘文件，因为可能有系统和磁盘缓冲的关系。默认为100，如果为0表示不使用fsync。
--file-fsync-all[=on|off] #每执行完一次写操作，就执行一次fsync，默认未off。--file-fsync-end[=on|off] #在测试结束时，执行fsync，默认为on。--file-fsync-mode=STRING #文件同步函数的选择，同样是和API相关的参数，由于多个操作对fdatasync支持的不同，因此不建议使用fdatasync。默认为fsync。--file-merged-requests=N #尽可能合并此数量的io请求(0-不合并)，默认为[0]。
--file-rw-ratio=N #测试时的读写比例，默认是2:1。
在使用sysbench进行测试的时候，通常分为三个步骤prepare,run,cleanup阶段。
第一步准备数据（prepare阶段）：
[root@test3 systext]# sysbench fileio --file-num=10 --file-total-size=50G prepare sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)10 files, 5242880Kb each, 51200Mb total Creating files for the test... Extra file open flags: (none) Creating file test_file.0Creating file test_file.1Creating file test_file.2Creating file test_file.3Creating file test_file.4Creating file test_file.5Creating file test_file.6Creating file test_file.7Creating file test_file.8Creating file test_file.953687091200 bytes written in 489.55 seconds (104.59 MiB/sec). #这里给出一个每秒写入的数据量104.59MB/s, 这里的写入是顺序写入的，表示磁盘的吞吐量为104.59MB/s。 【一般对顺序的读写称为吞吐量，对随机的IO使用IOPS来表示】 [root@test3 systext]# ll -h #文件大小为5个G total 50G -rw------- 1 root root 5.0G Nov 27 09:30 test_file.0 -rw------- 1 root root 5.0G Nov 27 09:31 test_file.1 -rw------- 1 root root 5.0G Nov 27 09:32 test_file.2 -rw------- 1 root root 5.0G Nov 27 09:32 test_file.3 -rw------- 1 root root 5.0G Nov 27 09:33 test_file.4 -rw------- 1 root root 5.0G Nov 27 09:34 test_file.5 -rw------- 1 root root 5.0G Nov 27 09:35 test_file.6 -rw------- 1 root root 5.0G Nov 27 09:36 test_file.7 -rw------- 1 root root 5.0G Nov 27 09:36 test_file.8 -rw------- 1 root root 5.0G Nov 27 09:37 test_file.9
数据准备好之后，进行测试：
#这里进行随机读写测试 [root@test3 systext]# sysbench fileio --file-num=10 --file-total-size=50G --file-block-size=16384 --file-test-mode=rndrw --file-io-mode=sync --file-extra-flags=direct --time=100 --threads=16 --report-interval=10 run sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) Running the test with following options: #设定的一些参数数值 Number of threads: 16Report intermediate results every 10 second(s) Initializing random number generator from current timeExtra file open flags: directio10 files, 5GiB each 50GiB total file size Block size 16KiB Number of IO requests: 0Read/Write ratio for combined random IO test: 1.50Periodic 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: 3.24 MiB/s writes: 2.16 MiB/s fsyncs: 34.08/s latency (ms,95%): 80.025 #每隔10s输出一次报告[ 20s ] reads: 3.49 MiB/s writes: 2.32 MiB/s fsyncs: 36.70/s latency (ms,95%): 73.135[ 30s ] reads: 3.45 MiB/s writes: 2.29 MiB/s fsyncs: 37.00/s latency (ms,95%): 75.817[ 40s ] reads: 3.43 MiB/s writes: 2.29 MiB/s fsyncs: 36.00/s latency (ms,95%): 75.817[ 50s ] reads: 3.57 MiB/s writes: 2.38 MiB/s fsyncs: 37.40/s latency (ms,95%): 73.135[ 60s ] reads: 3.08 MiB/s writes: 2.06 MiB/s fsyncs: 32.30/s latency (ms,95%): 86.002[ 70s ] reads: 3.41 MiB/s writes: 2.27 MiB/s fsyncs: 36.40/s latency (ms,95%): 75.817[ 80s ] reads: 3.47 MiB/s writes: 2.31 MiB/s fsyncs: 36.20/s latency (ms,95%): 73.135[ 90s ] reads: 3.46 MiB/s writes: 2.31 MiB/s fsyncs: 36.20/s latency (ms,95%): 77.194[ 100s ] reads: 3.10 MiB/s writes: 2.07 MiB/s fsyncs: 33.50/s latency (ms,95%): 75.817Throughput: read: IOPS=215.57 3.37 MiB/s (3.53 MB/s) #通常的机械磁盘随机IOPS也就是200多一点。 write: IOPS=143.72 2.25 MiB/s (2.35 MB/s) #随机写入的速度明显要低很多。 fsync: IOPS=37.13Latency (ms): min: 0.08 avg: 40.51 max: 1000.31 95th percentile: 77.19 sum: 1601329.71 #随机读大概是2.10M/s,文件块的大小为16KB,可以大概估计磁盘转速： 2.10*1024KB*60s/16KB=7560n/m, 大概就是7500转每分
[root@test3 systext]# sysbench fileio --file-num=10 --file-total-size=50G --file-block-size=16384 --file-test-mode=seqrd --file-io-mode=sync --file-extra-flags=direct --time=100 --threads=16 --report-interval=10 run sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) Running the test with following options: Number of threads: 16Report intermediate results every 10 second(s) Initializing random number generator from current timeExtra file open flags: directio10 files, 5GiB each 50GiB total file size Block size 16KiB Periodic FSYNC enabled, calling fsync() each 100 requests. Calling fsync() at the end of test, Enabled. Using synchronous I/O mode Doing sequential read test Initializing worker threads... Threads started![ 10s ] reads: 98.88 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 3.020[ 20s ] reads: 98.64 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 3.681[ 30s ] reads: 93.24 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 2.913[ 40s ] reads: 89.12 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 4.028[ 50s ] reads: 93.17 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 4.487[ 60s ] reads: 91.98 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 4.652[ 70s ] reads: 97.08 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 3.425[ 80s ] reads: 93.71 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 3.020[ 90s ] reads: 94.63 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 3.304[ 100s ] reads: 89.57 MiB/s writes: 0.00 MiB/s fsyncs: 0.00/s latency (ms,95%): 3.364Throughput: read: IOPS=6016.01 94.00 MiB/s (98.57 MB/s) write: IOPS=0.00 0.00 MiB/s (0.00 MB/s) fsync: IOPS=0.00Latency (ms): min: 0.40 avg: 2.66 max: 687.00 95th percentile: 3.62 sum: 1599247.42#测试结果可以看到顺序的读和随机读的差距还是超大的
顺序读的测试
可以更改--file-test-mode的模式，改变测试的模式。
测试阶段完成之后，需要进行最后的cleanup阶段，
[root@test3 systext]# sysbench fileio --file-num=10 --file-total-size=50 cleanup sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) Removing test files... [root@test3 systext]# ls[root@test3 systext]# df -h Filesystem Size Used Avail Use% Mounted on/dev/vda3 29G 8.4G 20G 31% /tmpfs 3.9G 44K 3.9G 1% /dev/shm/dev/vda1 190M 30M 151M 17% /boot/dev/vdb 100G 25G 76G 25% /data cgroup_root 3.9G 0 3.9G 0% /cgroup #看到磁盘空间已经释放
测试MySQL的OLTP
sysbench新版的用法和之前的旧版本有所不同，先来看测试数据库时的一些参数：
General database options: --db-driver=STRING specifies database driver to use ('help' to get list of available drivers) [mysql] #指定数据库驱动，默认是mysql --db-ps-mode=STRING prepared statements usage mode {auto, disable} [auto] # --db-debug[=on|off] print database-specific debug information [off] #dubug模式
Compiled-in database drivers:
mysql - MySQL driver
mysql options: --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] #数据库名字，默认是sbtest --mysql-ssl[=on|off] use SSL connections, if available in the client library [off] #以下是ssl的连接测试 --mysql-ssl-key=STRING path name of the client private key file
--mysql-ssl-ca=STRING path name of the CA file
--mysql-ssl-cert=STRING path name of the client public key certificate file
--mysql-ssl-cipher=STRING use specific cipher for SSL connections [] --mysql-compression[=on|off] use compression, if available in the client library [off] #压缩测试 --mysql-debug[=on|off] trace all client library calls [off] --mysql-ignore-errors=[LIST,...] list of errors to ignore, or "all" [1213,1020,1205] #忽略的错误 --mysql-dry-run[=on|off] Dry run, pretend that all MySQL client API calls are successful without executing them [off]
MySQL测试的lua脚本：
#因为是源码安装，索引目录在这里 [root@test3 lua]# pwd/data/sysbench-master/src/lua [root@test3 lua]# lsbulk_insert.lua Makefile oltp_common.lua oltp_point_select.lua oltp_update_index.lua prime-test.lua empty-test.lua Makefile.am oltp_delete.lua oltp_read_only.lua oltp_update_non_index.lua select_random_points.lua internal Makefile.in oltp_insert.lua oltp_read_write.lua oltp_write_only.lua select_random_ranges.lua #根据脚本的名字可以选择对应的基本 #查看某个lua脚本的用法 [root@test3 lua]# sysbench oltp_common.lua help sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) oltp_common.lua options: --auto_inc[=on|off] Use AUTO_INCREMENT column as Primary Key (for MySQL), or its alternatives in other DBMS. When disabled, use client-generated IDs [on] --create_secondary[=on|off] Create a secondary index in addition to the PRIMARY KEY [on] --create_table_options=STRING Extra CREATE TABLE options [] --delete_inserts=N Number of DELETE/INSERT combinations per transaction [1] --distinct_ranges=N Number of SELECT DISTINCT queries per transaction [1] --index_updates=N Number of UPDATE index queries per transaction [1] --mysql_storage_engine=STRING Storage engine, if MySQL is used [innodb] --non_index_updates=N Number of UPDATE non-index queries per transaction [1] --order_ranges=N Number of SELECT ORDER BY queries per transaction [1] --pgsql_variant=STRING Use this PostgreSQL variant when running with the PostgreSQL driver. The only currently supported variant is 'redshift'. When enabled, create_secondary is automatically disabled, and delete_inserts is set to 0 --point_selects=N Number of point SELECT queries per transaction [10] --range_selects[=on|off] Enable/disable all range SELECT queries [on] --range_size=N Range size for range SELECT queries [100] --secondary[=on|off] Use a secondary index in place of the PRIMARY KEY [off] --simple_ranges=N Number of simple range SELECT queries per transaction [1] --skip_trx[=on|off] Don't start explicit transactions and execute all queries in the AUTOCOMMIT mode [off] --sum_ranges=N Number of SELECT SUM() queries per transaction [1] --table_size=N Number of rows per table [10000] --tables=N Number of tables [1]
prepare阶段：
创建默认的测试库：
mysql> create database sbtest; #创建数据库 Query OK, 1 row affected (0.11 sec) #准备数据，时间比较长，可以把table_size设置的小一点 [root@test3 lua]# sysbench /data/sysbench-master/src/lua/oltp_read_write.lua --tables=3 --table_size=10000000 --mysql-user=root --mysql-password=123456 --mysql-host=10.0.102.214 --mysql-port=3306 --mysql-db=sbtest prepare sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) Creating table 'sbtest1'... Inserting 10000000 records into 'sbtest1'Creating a secondary index on 'sbtest1'... Creating table 'sbtest2'... Inserting 10000000 records into 'sbtest2'Creating a secondary index on 'sbtest2'... Creating table 'sbtest3'... Inserting 10000000 records into 'sbtest3'Creating a secondary index on 'sbtest3'... #在MySQL shel1中查看数据 mysql> select count(*) from sbtest1; +----------+ | count(*) | +----------+ | 10000000 | +----------+ 1 row in set (1.89 sec) mysql> show tables; +------------------+ | Tables_in_sbtest | +------------------+ | sbtest1 | | sbtest2 | | sbtest3 | +------------------+ 3 rows in set (0.00 sec)
run阶段
选择一个合适的lua脚本进行测试：
[root@test3 lua]# sysbench /data/sysbench-master/src/lua/oltp_point_select.lua --tables=3 --table_size=10000000 --mysql-user=root --mysql-password=123456 --mysql-host=10.0.102.214 --mysql-port=3306 --mysql-db=sbtest --threads=128 --time=100 --report-interval=5 run sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) Running the test with following options: Number of threads: 128Report intermediate results every 5 second(s) Initializing random number generator from current timeInitializing worker threads... Threads started![ 5s ] thds: 128 tps: 15037.47 qps: 15037.47 (r/w/o: 15037.47/0.00/0.00) lat (ms,95%): 41.10 err/s: 0.00 reconn/s: 0.00[ 10s ] thds: 128 tps: 18767.43 qps: 18767.43 (r/w/o: 18767.43/0.00/0.00) lat (ms,95%): 46.63 err/s: 0.00 reconn/s: 0.00[ 15s ] thds: 128 tps: 22463.68 qps: 22463.68 (r/w/o: 22463.68/0.00/0.00) lat (ms,95%): 40.37 err/s: 0.00 reconn/s: 0.00[ 20s ] thds: 128 tps: 26848.42 qps: 26848.42 (r/w/o: 26848.42/0.00/0.00) lat (ms,95%): 28.67 err/s: 0.00 reconn/s: 0.00[ 25s ] thds: 128 tps: 27005.57 qps: 27005.57 (r/w/o: 27005.57/0.00/0.00) lat (ms,95%): 15.00 err/s: 0.00 reconn/s: 0.00[ 30s ] thds: 128 tps: 26965.62 qps: 26965.62 (r/w/o: 26965.62/0.00/0.00) lat (ms,95%): 1.82 err/s: 0.00 reconn/s: 0.00[ 35s ] thds: 128 tps: 27626.74 qps: 27626.74 (r/w/o: 27626.74/0.00/0.00) lat (ms,95%): 0.42 err/s: 0.00 reconn/s: 0.00[ 40s ] thds: 128 tps: 27244.27 qps: 27244.27 (r/w/o: 27244.27/0.00/0.00) lat (ms,95%): 0.33 err/s: 0.00 reconn/s: 0.00[ 45s ] thds: 128 tps: 26522.56 qps: 26522.56 (r/w/o: 26522.56/0.00/0.00) lat (ms,95%): 1.42 err/s: 0.00 reconn/s: 0.00[ 50s ] thds: 128 tps: 26791.43 qps: 26791.43 (r/w/o: 26791.43/0.00/0.00) lat (ms,95%): 5.57 err/s: 0.00 reconn/s: 0.00[ 55s ] thds: 128 tps: 27088.42 qps: 27088.42 (r/w/o: 27088.42/0.00/0.00) lat (ms,95%): 1.42 err/s: 0.00 reconn/s: 0.00[ 60s ] thds: 128 tps: 28056.06 qps: 28056.06 (r/w/o: 28056.06/0.00/0.00) lat (ms,95%): 0.22 err/s: 0.00 reconn/s: 0.00[ 65s ] thds: 128 tps: 27296.11 qps: 27296.11 (r/w/o: 27296.11/0.00/0.00) lat (ms,95%): 0.73 err/s: 0.00 reconn/s: 0.00[ 70s ] thds: 128 tps: 28621.60 qps: 28621.60 (r/w/o: 28621.60/0.00/0.00) lat (ms,95%): 0.19 err/s: 0.00 reconn/s: 0.00[ 75s ] thds: 128 tps: 28992.29 qps: 28992.29 (r/w/o: 28992.29/0.00/0.00) lat (ms,95%): 0.19 err/s: 0.00 reconn/s: 0.00[ 80s ] thds: 128 tps: 28279.88 qps: 28279.88 (r/w/o: 28279.88/0.00/0.00) lat (ms,95%): 0.20 err/s: 0.00 reconn/s: 0.00[ 85s ] thds: 128 tps: 28612.84 qps: 28612.84 (r/w/o: 28612.84/0.00/0.00) lat (ms,95%): 0.20 err/s: 0.00 reconn/s: 0.00[ 90s ] thds: 128 tps: 28031.47 qps: 28031.47 (r/w/o: 28031.47/0.00/0.00) lat (ms,95%): 0.20 err/s: 0.00 reconn/s: 0.00[ 95s ] thds: 128 tps: 28734.66 qps: 28734.66 (r/w/o: 28734.66/0.00/0.00) lat (ms,95%): 0.20 err/s: 0.00 reconn/s: 0.00[ 100s ] thds: 128 tps: 28767.20 qps: 28767.20 (r/w/o: 28767.20/0.00/0.00) lat (ms,95%): 2.39 err/s: 0.00 reconn/s: 0.00SQL statistics: queries performed: read: 2638920 #总的select数量 write: 0 other: 0 total: 2638920 transactions: 2638920 (26382.71 per sec.) #TPS queries: 2638920 (26382.71 per sec.) #QPS ignored errors: 0 (0.00 per sec.) #忽略的错误 reconnects: 0 (0.00 per sec.) #重新连接 Throughput: events/s (eps): 26382.7081 #每秒的事件数，一般和TPS一样 time elapsed: 100.0246s #测试的总时间 total number of events: 2638920 #总的事件数，一般和TPS一样Latency (ms): min: 0.11 #最小响应时间 avg: 4.85 #平均响应时间 max: 649.29 #最大响应时间 95th percentile: 25.74 #95%的响应时间是这个数据 sum: 12796148.28Threads fairness: events (avg/stddev): 20616.5625/196.08 execution time (avg/stddev): 99.9699/0.00 #在这个测试中，可以看到TPS与QPS的大小基本一致，说明这个lua脚本中的一个查询一般就是一个事务！
我们一般关注的指标主要有:
- response time avg：平均响应时间（后面的95%的大小可以通过–percentile=98的方式去更改）。
- transactions：精确的说是这一项后面的TPS，但如果使用了–skip-trx=on，这项事务数为0，需要用total number of events去除以总时间，得到tps（其实还可以分为读tps和写tps）。
- queries：用它除以总时间，得到吞吐量QPS。
因为上面的TPS与QPS是一样的，因此只绘了TPS的图，如下：
刚开始的时候有一个明显的上升，这时候是因为在bp中没有缓存数据，需要从磁盘中读数据，也就是预热阶段！
清理数据
[root@test3 lua]# sysbench /data/sysbench-master/src/lua/oltp_read_write.lua --tables=3 --table_size=10000000 --mysql-user=root --mysql-password=123456 --mysql-host=10.0.102.214 --mysql-port=3306 --mysql-db=sbtest cleanup sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3) Dropping table 'sbtest1'... Dropping table 'sbtest2'... Dropping table 'sbtest3'... [root@test3 lua]#
sysbench除了以上的测试之外，还可以测试：
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 See 'sysbenchhelp' for a list of options for each test