MySQL基准测试工具

一、基准测试

基准测试(benchmark)是针对系统设计的一种压力测试。

基准测试是简化了的压力测试。

1.1 常见指标

• TPS
• QPS
• 响应时间
• 并发量

1.2 收集与分析数据脚本

收集数据的shell脚本gather.sh

#!/bin/sh

INTERVAL=5
PREFIX=$INTERVAL-sec-status
RUNFILE=/home/benchmarks/running
mysql -e 'SHOW GLOBAL VARIABLES' >> mysql-variables
while test -e $RUNFILE; do
    file=$(date +%F_%I)
    sleep=$(date +%s.%N | awk "{print $INTERVAL - (\$1 % $INTERVAL)}")
    sleep $sleep
    ts="$(date +"TS %s.%N %F %T")"
    loadavg="$(uptime)"
    echo "$ts $loadavg" >> $PREFIX-${file}-status
    mysql -e 'show global status;' >> $PREFIX-${file}-status &
    echo "$ts $loadavg" >> $PREFIX-${file}-innodbstatus
    mysql -e 'show engine innodb status;' >> $PREFIX-${file}-innodbstatus &
    echo "$ts $loadavg" >> $PREFIX-${file}-processlist
    mysql -e 'show full processlist;' >> $PREFIX-${file}-processlist &
    echo $ts 
done
echo Exiting because $RUNFILE does not exist.

分析数据脚本analyze.sh

#!/bin/sh
awk '
    BEGIN {
        printf "#ts date time load QPS" 
        fmt = " %.2f"
    }
    /^TS/ {
        ts = substr($2, 1, index($2, ".")-1);
        load = NF-2;
        diff = ts - prev_ts;
        prev_ts = ts;
        printf "\n%s %s %s %s", ts, $3, $4, substr($load, 1, length($load) - 1);
    }
    /Queries/ {
        printf fmt, ($2-Queries)/diff;
        Queries=$2;
    }
' "$@"

二、基准测试工具

2.1 mysqlslap

常用参数

#　mysqlslap --help
--auto-generate-sql 由系统自动生成SQL脚本进行测试
--auto-generate-sql-add-autoincrement 在生成的表中增加自增ID
--auto-generate-sql-load-type=name 指定测试中使用的查询类型
--auto-generate-sql-execute-number= 指定初始化数据时生成的数据量
--concurrency= 指定并发线程的数量
--engine 指定要测试表的存储引擎，可以用逗号分割多个存储引擎
--no-drop 指定不清理测试数据
--iterations 指定测试运行的次数
--number-of-queries 指定每一个线程执行的查询数量
--debug-info 指定输出额外的内存及CPU统计信息
--number-int-cols 指定测试表中包含的INT类型列的数量
--number-char-cols 指定测试表中包含的varchar类型的数量
--create-schema 指定了用于执行测试的数据库的名字
--query 用于指定自定义SQL的脚本
--only-print 并不运行测试脚本，而是把生成的脚本打印出来

示例

mysqlslap \
--concurrency=1,50,100,200 \
--iterations=3 \
--number-int-cols=5 \
--number-char-cols=5 \
--auto-generate-sql \
--auto-generate-sql-add-autoincrement \
--engine=myisam,innodb \
--number-of-queries=10 \
--create-schema=test \
> 1.txt

测试结果

[root@mysql211 ~]# cat 1.txt
Benchmark
    Running for engine myisam
    Average number of seconds to run all queries: 0.001 seconds
    Minimum number of seconds to run all queries: 0.001 seconds
    Maximum number of seconds to run all queries: 0.001 seconds
    Number of clients running queries: 1
    Average number of queries per client: 10

Benchmark
    Running for engine myisam
    Average number of seconds to run all queries: 0.043 seconds
    Minimum number of seconds to run all queries: 0.037 seconds
    Maximum number of seconds to run all queries: 0.052 seconds
    Number of clients running queries: 50
    Average number of queries per client: 0

Benchmark
    Running for engine myisam
    Average number of seconds to run all queries: 0.082 seconds
    Minimum number of seconds to run all queries: 0.082 seconds
    Maximum number of seconds to run all queries: 0.084 seconds
    Number of clients running queries: 100
    Average number of queries per client: 0

Benchmark
    Running for engine myisam
    Average number of seconds to run all queries: 0.245 seconds
    Minimum number of seconds to run all queries: 0.245 seconds
    Maximum number of seconds to run all queries: 0.246 seconds
    Number of clients running queries: 200
    Average number of queries per client: 0

Benchmark
    Running for engine innodb
    Average number of seconds to run all queries: 0.007 seconds
    Minimum number of seconds to run all queries: 0.002 seconds
    Maximum number of seconds to run all queries: 0.010 seconds
    Number of clients running queries: 1
    Average number of queries per client: 10

Benchmark
    Running for engine innodb
    Average number of seconds to run all queries: 0.229 seconds
    Minimum number of seconds to run all queries: 0.212 seconds
    Maximum number of seconds to run all queries: 0.238 seconds
    Number of clients running queries: 50
    Average number of queries per client: 0

Benchmark
    Running for engine innodb
    Average number of seconds to run all queries: 0.519 seconds
    Minimum number of seconds to run all queries: 0.471 seconds
    Maximum number of seconds to run all queries: 0.555 seconds
    Number of clients running queries: 100
    Average number of queries per client: 0

Benchmark
    Running for engine innodb
    Average number of seconds to run all queries: 0.849 seconds
    Minimum number of seconds to run all queries: 0.767 seconds
    Maximum number of seconds to run all queries: 0.909 seconds
    Number of clients running queries: 200
    Average number of queries per client: 0

[root@mysql211 ~]# 

2.2 sysbench 0.5

下载

# MySQL上找到的版本太低
# https://dev.mysql.com/downloads/benchmarks.html
wget https://downloads.mysql.com/source/sysbench-0.4.12.14.tar.gz

# https://github.com/akopytov/sysbench/releases
wget https://github.com/akopytov/sysbench/archive/1.0.13.tar.gz
wget https://github.com/akopytov/sysbench/archive/0.5.zip

安装，参照解压后的README.md

# 解压 解压后目录为   ~/sysbench-0.5
unzip sysbench-0.5.zip
cd sysbench-0.5
# 运行后没报错就可以继续
./autogen.sh
# 配置
./configure \
--with-mysql-includes=/usr/local/mysql/include \
--with-mysql-libs=/usr/local/mysql/lib
# 编译安装
make && make install

常用参数

sysbench --help
--test 用于指定所要执行的测试类型，支持以下参数
  fileio - File I/O test 文件系统I/O性能测试
  cpu - CPU performance test CPU性能测试
  memory - Memory functions speed test 内存性能测试
  threads - Threads subsystem performance test
  mutex - Mutex performance test
Oltp测试要指定具体的lua脚本
Lua脚本位于sysbench-0.5/sysbench/tests/db
--mysql-db 用于指定执行基准测试的数据库名
--mysql-table-engine 用于指定所使用的存储引擎
--oltp-tables-count 执行测试的表的数量
--oltp-table-size 指定每个表中的数据行数
--num-threads 指定测试的并发线程数量
--max-time 指定最大的测试时间
--report-interval 指定间隔多长时间输出一次统计信息
--mysql-user 指定执行测试的MySQL用户
--mysql-password 指定执行测试的MySQL用户的密码

prepare 用于准备测试数据
run 用于实际进行测试
cleanup 用于清理测试数据

测试CPU

sysbench --test=cpu --cpu-max-prime=1000 run 

测试磁盘I/O

# free -m看内存
sysbench --test=fileio --file-total-size=1G prepare
# 查看相关参数
sysbench --test=fileio --help
# 测试
sysbench --test=fileio \
--num-threads=8 \
--init-rng=on \
--file-total-size=1G \
--file-test-mode=rndrw \
--report-interval=1 \
run

2.3 sysbench 测试数据库

创建库和表

create database dbtest;
grant all privileges on *.* to dbtest@'localhost' identified by '123456';

准备生成表和数据

# 进入脚本目录
cd ~/root/sysbench-0.5/sysbench/tests/db
# 查看脚本
ls -l *.lua
# 准备
sysbench --test=./oltp.lua \
--mysql-table-engine=innodb \
--oltp-table-size=10000 \
--mysql-db=dbtest \
--mysql-user=dbtest \
--mysql-password=123456 \
--oltp-tables-count=10 \
--mysql-socket=/tmp/mysql.sock \
prepare

运行收集测试数据的脚本 gather.sh

# 创建脚本需要的目录
mkdir /home/benchmarks && cd /home/benchmarks
# 将gather.sh脚本放在上述目标，并创建running
touch running
# 后台运行
sh gather.sh &

进行基准测试

# 运行
sysbench --test=./oltp.lua \
--mysql-table-engine=innodb \
--oltp-table-size=10000 \
--mysql-db=dbtest \
--mysql-user=dbtest \
--mysql-password=123456 \
--oltp-tables-count=10 \
--mysql-socket=/tmp/mysql.sock \
run

测试结束后，运行分析数据的脚本 analyze.sh

# 查看获取的数据
[root@mysql211 benchmarks]# ll -h 5*
-rw-r--r--. 1 root root 124K Mar 12 16:41 5-sec-status-2018-03-12_04-innodbstatus
-rw-r--r--. 1 root root  11K Mar 12 16:41 5-sec-status-2018-03-12_04-processlist
-rw-r--r--. 1 root root 236K Mar 12 16:41 5-sec-status-2018-03-12_04-status

# 分析这些数据 analyze.sh 文件名
sh analyze.sh /home/benchmarks/5-sec-status-2018-03-12_04-innodbstatus

三、参考

• 《高性能MySQL(第三版)》第二章