redis做压测可以用自带的redis-benchmark工具,使用简单,效果也比较不错。

linux下一般无需下载,windows下redis-benchmark压力测试工具下载地址:http://www.daixiaorui.com/source/18.html(解压后的redis-benchmark.exe)

压测命令:redis-benchmark -h 127.0.0.1 -p 6379 -c 50 -n 10000

-c表示连接数

-n表示请求数

更多参数请输入 --help 查看~

压测需要一段时间,因为它需要依次压测多个命令的结果,如:get、set、incr、lpush等等,所以我们需要耐心等待,如果只需要压测某个命令,如:get,那么可以在以上的命令后加一个参数-t(红色部分):

redis-benchmark -h 127.0.0.1 -p 6086 -c 50 -n 10000 -t get

压测结果:

[root@1234 ~]# redis-benchmark -h 127.0.0.1 -p 6086 -c 50 -n 10000 -t get

====== GET ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.16% <= 1 milliseconds

100.00% <= 1 milliseconds

68027.21 requests per second

不带-t的压测结果如下:

[root@1234 ~]# redis-benchmark -h 127.0.0.1 -p 6086 -c 50 -n 10000

====== PING_INLINE ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.35% <= 1 milliseconds

100.00% <= 1 milliseconds

67114.09 requests per second

====== PING_BULK ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.38% <= 1 milliseconds

100.00% <= 1 milliseconds

66666.66 requests per second

====== SET ======  (处理set的性能)

10000 requests completed in 0.17 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.11% <= 1 milliseconds

99.51% <= 25 milliseconds

100.00% <= 25 milliseconds

57142.86 requests per second

====== GET ======  (处理get请求的性能)

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.09% <= 1 milliseconds

99.51% <= 11 milliseconds

100.00% <= 12 milliseconds

66666.66 requests per second

====== INCR ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.33% <= 1 milliseconds

100.00% <= 1 milliseconds

66666.66 requests per second

====== LPUSH ======

10000 requests completed in 0.16 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.20% <= 1 milliseconds

100.00% <= 1 milliseconds

64516.13 requests per second

====== LPOP ======

10000 requests completed in 0.16 seconds

50 parallel clients

3 bytes payload

keep alive: 1

98.56% <= 1 milliseconds

99.51% <= 14 milliseconds

100.00% <= 14 milliseconds

61349.69 requests per second

====== SADD ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.36% <= 1 milliseconds

100.00% <= 1 milliseconds

67114.09 requests per second

====== SPOP ======

10000 requests completed in 0.14 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.32% <= 1 milliseconds

100.00% <= 1 milliseconds

69930.07 requests per second

====== LPUSH (needed to benchmark LRANGE) ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.47% <= 1 milliseconds

100.00% <= 1 milliseconds

67567.57 requests per second

====== LRANGE_100 (first 100 elements) ======

10000 requests completed in 0.14 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.41% <= 1 milliseconds

100.00% <= 1 milliseconds

72992.70 requests per second

====== LRANGE_300 (first 300 elements) ======

10000 requests completed in 0.14 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.41% <= 1 milliseconds

100.00% <= 1 milliseconds

72463.77 requests per second

====== LRANGE_500 (first 450 elements) ======

10000 requests completed in 0.14 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.35% <= 1 milliseconds

100.00% <= 1 milliseconds

68965.52 requests per second

====== LRANGE_600 (first 600 elements) ======

10000 requests completed in 0.15 seconds

50 parallel clients

3 bytes payload

keep alive: 1

99.37% <= 1 milliseconds

100.00% <= 1 milliseconds

66225.17 requests per second

====== MSET (10 keys) ======

10000 requests completed in 0.17 seconds

50 parallel clients

3 bytes payload

keep alive: 1

94.94% <= 1 milliseconds

100.00% <= 1 milliseconds

58479.53 requests per second

这样看起来很冗余,如果我们只想看最终的结果,可以带上参数-q,完整的命令如下:

redis-benchmark -h 127.0.0.1 -p 6086 -c 50 -n 10000 -q

显示结果为:

[root@1234 ~]# redis-benchmark -h 127.0.0.1 -p 6086 -c 50 -n 10000 -q

PING_INLINE: 66225.17 requests per second

PING_BULK: 65789.48 requests per second

SET: 66666.66 requests per second

GET: 69444.45 requests per second

INCR: 62893.08 requests per second

LPUSH: 65789.48 requests per second

LPOP: 68027.21 requests per second

SADD: 64935.07 requests per second

SPOP: 67114.09 requests per second

LPUSH (needed to benchmark LRANGE): 62893.08 requests per second

LRANGE_100 (first 100 elements): 69444.45 requests per second

LRANGE_300 (first 300 elements): 68965.52 requests per second

LRANGE_500 (first 450 elements): 68965.52 requests per second

LRANGE_600 (first 600 elements): 68965.52 requests per second

MSET (10 keys): 59171.60 requests per second

温馨提示:

压测结果跟机器的性能有关,其中windows下压测的结果要比在linux下差一大截。

redis压力测试详解的更多相关文章

  1. web 压力测试工具ab压力测试详解

    Web性能压力测试工具之ApacheBench(ab)详解 原文:http://www.ha97.com/4617.html PS:网站性能压力测试是性能调优过程中必不可少的一环.只有让服务器处在高压 ...

  2. 使用ab进行压力测试详解

    ab是apache自带的压力测试工具,非常好用.转载几篇对ab工具的详细使用的博文.猛击下面的链接地址 http://www.365mini.com/page/apache-benchmark.htm ...

  3. CodeBenchmark之压力测试详解

    CodeBenchmark是一款高性能可视化的并发测试组件,通过组件可以对任意逻辑代码或服务进行并发测试:组件最终通过可视化的方式来显示测试结果,在测试结果中可以看到具体的并发情况和处理延时的分布.组 ...

  4. Redis 配置文件 redis.conf 项目详解

    Redis.conf 配置文件详解 # [Redis](http://yijiebuyi.com/category/redis.html) 配置文件 # 当配置中需要配置内存大小时,可以使用 1k, ...

  5. Redis主从复制机制详解

    Redis主从复制机制详解 Redis有两种不同的持久化方式,Redis服务器通过持久化,把Redis内存中持久化到硬盘当中,当Redis宕机时,我们重启Redis服务器时,可以由RDB文件或AOF文 ...

  6. [转]Reids配置文件redis.conf中文详解

    转自: Reids配置文件redis.conf中文详解 redis的各种配置都是在redis.conf文件中进行配置的. 有关其每项配置的中文详细解释如下: 对应的中文版解释redis.conf # ...

  7. nosql Redis命令操作详解

    Redis命令操作详解 一.key pattern 查询相应的key (1)redis允许模糊查询key 有3个通配符 *.?.[] (2)randomkey:返回随机key (3)type key: ...

  8. Redis常见配置文件详解

    Redis常见配置文件详解 # vi redis.conf 1 2 3 daemonize yes #是否以后台进程运行 4 5 pidfile /var/run/redis/redis-server ...

  9. Redis配置参数详解

    Redis配置参数详解 /********************************* GENERAL *********************************/ // 是否作为守护进 ...

随机推荐

  1. Java Swing界面编程(25)---事件处理:鼠标事件及监听处理

    假设想对一个鼠标的操作进行监听,假设鼠标按下.松开等.则能够使用MouseListener接口. package com.beyole.util; import java.awt.event.Mous ...

  2. 跨域用ajax处理并返回处理状态

    <script type="text/javascript">        $(function () {            $("#submitBtu ...

  3. 从英语单词shell想到的

    shell当初听到以为很高级 后来才知道只是壳而已 百度百科中解释为 shell 在计算机科学中,Shell俗称壳(用来区别于核),是指“提供使用者使用界面”的软件(命令解析器).它类似于DOS下的c ...

  4. linux下安装redis报错问题。

    1.使用tar -xzvf redis-2.4.5.tar.gz来解压安装包 2.使用make命令来编译Redis 如果出现错误需要查看是否缺少gcc gcc-c++ zmalloc.h:50:31: ...

  5. HDFS源码分析心跳汇报之周期性心跳

    HDFS源码分析心跳汇报之周期性心跳,近期推出!

  6. 苹果开发之COCOA编程(第三版)上半部分

    第一章:什么是Cocoa 1.1 历史简介 1.2 开发工具:Xcode.Interface Builder(一个GUI构建工具).在它们内部,使用gcc为编译器来编译代码,并使用gdb来查找错误 1 ...

  7. linux find 根据条件查找文件

    版权为个人所有,欢迎转载如转载请说明出处.(东北大亨) http://www.cnblogs.com/northeastTycoon/p/5513231.html 1. 实现说明 按照某一个时间点查找 ...

  8. mongodb 集群部署--分片服务器搭建

    部署分片服务器 1.分片 为了突破单点数据库服务器的I/O能力限制,对数据库存储进行水平扩展,严格地说,每一个服务器或者实例或者复制集就是一个分片. 2.优势 提供类似现行增·长架构 提高数据可用性 ...

  9. jquery在网页实时显示时间;

    1.定义一个显示时间的位置 <div id="shijian"> </div> 2.jquery代码 function showTime() { var c ...

  10. Java 学习 day06

    01-面向对象(Static关键字) package myFirstCode; /* 静态:static. 用法:是一个修饰符,用于修饰成员(成员变量,成员函数) 当成员被静态修饰后,就多了一个调用方 ...