Redis-benchmark是官方自带的Redis性能测试工具

测试Redis在你的系统及你的配置下的读写性能

redis-benchmark可以模拟N个机器,同时发送M个请求

redis-benchmark [-h <host>] [-p <port>] [-c <clients>] [-n <requests]> [-k <boolean>]
-h <hostname>      Server hostname (default 127.0.0.1)
-p <port> Server port (default 6379)
-s <socket> Server socket (overrides host and port)
-c <clients> Number of parallel connections (default 50)
-n <requests> Total number of requests (default 10000)
-d <size> Data size of SET/GET value in bytes (default 2)
-k <boolean> 1=keep alive 0=reconnect (default 1)
-r <keyspacelen> Use random keys for SET/GET/INCR, random values for SADD
Using this option the benchmark will get/set keys
in the form mykey_rand:000000012456 instead of constant
keys, the <keyspacelen> argument determines the max
number of values for the random number. For instance
if set to 10 only rand:000000000000 - rand:000000000009
range will be allowed.
-P <numreq> Pipeline <numreq> requests. Default 1 (no pipeline).
-q Quiet. Just show query/sec values 只显示每秒钟能处理多少请求数结果
--csv Output in CSV format
-l Loop. Run the tests forever 永久测试
-t <tests> Only run the comma separated list of tests. The test
names are the same as the ones produced as output.
-I Idle mode. Just open N idle connections and wait.

eg:

  100个并发连接,1000个请求,检测host为localhost 端口为6379的redis服务器性能

  redis-benchmark.exe -h 127.0.0.1 -p 6379 -c 100 -n 1000

====== PING_INLINE ======
requests completed in 0.07 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
22.00% <= milliseconds
24.90% <= milliseconds
75.90% <= milliseconds
89.70% <= milliseconds
89.80% <= milliseconds
90.00% <= milliseconds
90.10% <= milliseconds
90.20% <= milliseconds
90.40% <= milliseconds
90.50% <= milliseconds
96.20% <= milliseconds
100.00% <= milliseconds
14705.88 requests per second ====== PING_BULK ======
requests completed in 0.03 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
0.20% <= milliseconds
79.20% <= milliseconds
89.40% <= milliseconds
100.00% <= milliseconds
31250.00 requests per second ====== SET ======
requests completed in 0.03 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
8.20% <= milliseconds
91.60% <= milliseconds
100.00% <= milliseconds
34482.76 requests per second ====== GET ======
requests completed in 0.04 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
30.40% <= milliseconds
58.30% <= milliseconds
66.10% <= milliseconds
87.50% <= milliseconds
99.90% <= milliseconds
100.00% <= milliseconds
27777.78 requests per second ====== INCR ======
requests completed in 0.04 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
23.60% <= milliseconds
27.90% <= milliseconds
75.20% <= milliseconds
99.70% <= milliseconds
100.00% <= milliseconds
26315.79 requests per second ====== LPUSH ======
requests completed in 0.03 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
74.70% <= milliseconds
83.40% <= milliseconds
93.20% <= milliseconds
100.00% <= milliseconds
29411.76 requests per second ====== LPOP ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 2.50% <= milliseconds
100.00% <= milliseconds
76923.08 requests per second ====== SADD ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 1.90% <= milliseconds
100.00% <= milliseconds
76923.08 requests per second ====== SPOP ======
requests completed in 0.03 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
1.10% <= milliseconds
99.70% <= milliseconds
100.00% <= milliseconds
33333.34 requests per second ====== LPUSH (needed to benchmark LRANGE) ======
requests completed in 0.03 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
66.80% <= milliseconds
69.70% <= milliseconds
77.00% <= milliseconds
91.20% <= milliseconds
99.10% <= milliseconds
100.00% <= milliseconds
32258.06 requests per second ====== LRANGE_100 (first elements) ======
requests completed in 0.05 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
37.70% <= milliseconds
90.10% <= milliseconds
93.70% <= milliseconds
99.60% <= milliseconds
100.00% <= milliseconds
20000.00 requests per second ====== LRANGE_300 (first elements) ======
requests completed in 0.08 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
33.70% <= milliseconds
69.80% <= milliseconds
74.70% <= milliseconds
80.40% <= milliseconds
87.70% <= milliseconds
90.20% <= milliseconds
93.10% <= milliseconds
96.70% <= milliseconds
98.40% <= milliseconds
99.80% <= milliseconds
100.00% <= milliseconds
12345.68 requests per second ====== LRANGE_500 (first elements) ======
requests completed in 0.10 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
1.00% <= milliseconds
30.10% <= milliseconds
72.40% <= milliseconds
80.40% <= milliseconds
84.90% <= milliseconds
88.50% <= milliseconds
90.70% <= milliseconds
92.70% <= milliseconds
95.10% <= milliseconds
96.60% <= milliseconds
97.80% <= milliseconds
98.80% <= milliseconds
100.00% <= milliseconds
10101.01 requests per second ====== LRANGE_600 (first elements) ======
requests completed in 0.14 seconds
parallel clients
bytes payload
keep alive: 0.10% <= milliseconds
3.20% <= milliseconds
31.60% <= milliseconds
58.90% <= milliseconds
78.60% <= milliseconds
80.70% <= milliseconds
82.30% <= milliseconds
84.20% <= milliseconds
86.30% <= milliseconds
89.00% <= milliseconds
89.30% <= milliseconds
89.90% <= milliseconds
90.40% <= milliseconds
90.80% <= milliseconds
91.10% <= milliseconds
91.90% <= milliseconds
92.40% <= milliseconds
93.10% <= milliseconds
93.80% <= milliseconds
95.10% <= milliseconds
96.90% <= milliseconds
97.70% <= milliseconds
98.40% <= milliseconds
99.10% <= milliseconds
99.90% <= milliseconds
100.00% <= milliseconds
7299.27 requests per second ====== MSET ( keys) ======
requests completed in 0.02 seconds
parallel clients
bytes payload
keep alive: 0.70% <= milliseconds
93.80% <= milliseconds
99.40% <= milliseconds
100.00% <= milliseconds
52631.58 requests per second

 

  只显示每秒钟能处理多少请求数结果

  redis-benchmark.exe -h 127.0.0.1 -p 6379 -q

PING_INLINE: 87873.46 requests per second
PING_BULK: 90009.01 requests per second
SET: 81037.28 requests per second
GET: 91324.20 requests per second
INCR: 89605.73 requests per second
LPUSH: 80256.82 requests per second
LPOP: 90826.52 requests per second
SADD: 89525.52 requests per second
SPOP: 91996.32 requests per second
LPUSH (needed to benchmark LRANGE): 90090.09 requests per second
LRANGE_100 (first elements): 34638.03 requests per second
LRANGE_300 (first elements): 17099.86 requests per second
LRANGE_500 (first elements): 12238.41 requests per second
LRANGE_600 (first elements): 9712.51 requests per second
MSET ( keys): 56657.22 requests per second

   显示详细资料的方式  

   redis-benchmark -h 127.0.0.1 -p 6609  -n 1000

====== PING_INLINE ======
requests completed in 0.02 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
62500.00 requests per second ====== PING_BULK ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
76923.08 requests per second ====== SET ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
83333.34 requests per second ====== GET ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
76923.08 requests per second ====== INCR ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
83333.34 requests per second ====== LPUSH ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
76923.08 requests per second ====== LPOP ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
76923.08 requests per second ====== SADD ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
83333.34 requests per second ====== SPOP ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
83333.34 requests per second ====== LPUSH (needed to benchmark LRANGE) ======
requests completed in 0.01 seconds
parallel clients
bytes payload
keep alive: 100.00% <= milliseconds
83333.34 requests per second ====== LRANGE_100 (first elements) ======
requests completed in 0.03 seconds
parallel clients
bytes payload
keep alive: 99.00% <= milliseconds
100.00% <= milliseconds
34482.76 requests per second ====== LRANGE_300 (first elements) ======
requests completed in 0.06 seconds
parallel clients
bytes payload
keep alive: 1.40% <= milliseconds
97.70% <= milliseconds
100.00% <= milliseconds
16949.15 requests per second ====== LRANGE_500 (first elements) ======
requests completed in 0.08 seconds
parallel clients
bytes payload
keep alive: 1.10% <= milliseconds
44.00% <= milliseconds
98.40% <= milliseconds
100.00% <= milliseconds
12195.12 requests per second ====== LRANGE_600 (first elements) ======
requests completed in 0.10 seconds
parallel clients
bytes payload
keep alive: 0.80% <= milliseconds
7.10% <= milliseconds
86.80% <= milliseconds
97.90% <= milliseconds
100.00% <= milliseconds
9803.92 requests per second ====== MSET ( keys) ======
requests completed in 0.02 seconds
parallel clients
bytes payload
keep alive: 95.60% <= milliseconds
100.00% <= milliseconds
58823.53 requests per second

 

Redis性能测试Redis-benchmark的更多相关文章

  1. Redis性能测试工具benchmark简介

    Redis自己提供了一个性能测试工具redis-benchmark.redis-benchmark可以模拟N个机器,同时发送M个请求. 用法:redis-benchmark [-h -h <ho ...

  2. Redis性能测试

    Redis 性能测试 Redis 性能测试是通过同时执行多个命令实现的.Redis性能测试主要是通过src文件夹下的redis-benchmark来实现(Linux系统下) 语法 redis 性能测试 ...

  3. 【Redis】Redis学习(一) Redis初步入门

    一.Redis基础知识 1.1 Redis简介 Redis是一个开源(BSD许可),内存存储的数据结构服务器,可用作数据库,高速缓存和消息队列代理.它支持字符串.哈希表.列表.集合.有序集合,位图,h ...

  4. Redis 性能测试

    Redis 性能测试是通过同时执行多个命令实现的. 语法 redis 性能测试的基本命令如下: redis-benchmark [option] [option value] 实例 以下实例同时执行 ...

  5. 10.Redis 性能测试

    转自:http://www.runoob.com/redis/redis-tutorial.html Redis 性能测试是通过同时执行多个命令实现的. 语法 redis 性能测试的基本命令如下: r ...

  6. redis和redis php扩展安装(转)

    redis是一个内存数据库,比memcache支持更丰富的value类型,新浪微博就使用redis来做缓存. redis的源码安装 wget http://download.redis.io/redi ...

  7. 初识redis(redis基础命令)

    redis简介redis是一个开源(BSD许可)的使用C语言编写.支持网络.可基于内存亦可持久化的日志型.Key-Value数据库,它可以用作数据库.缓存和消息中间件,并提供多种语言的API.从201 ...

  8. redis和redis php扩展安装

    redis的源码安装 wget http://download.redis.io/redis-stable.tar.gz tar -zxvf redis-stable.tar.gz cd redis- ...

  9. 【Redis】Redis开篇与如何安装单机版Redis,这次我会了!!

    写在前面 很早之前,就有不少小伙伴微信留言说:冰河,你能不能写一个Redis专栏啊,我最近在学习Redis,看书看不下去,学习视频又觉得视频太长了,还是看你的文章比较给力!哈哈,原来我写的文章能够让小 ...

随机推荐

  1. MyBatis 之 SqlSessionManager 源码分析

    MyBatis 的 4 个基本构成: SqlSessionFactoryBuilder(构造器): 根据配置信息或者代码来生成 SqlSessionFactory(工厂接口) SqlSessionFa ...

  2. <漫步华尔街——股市历久弥新的成功投资策略>读书笔记

    书在这里 随机游走是指基于过去的表现,无法预测将来的发展步骤和方向. 仅仅为了达到盈亏相抵点,你的投资回报率至少也要等于通货膨胀率 磐石理论认为,无论是普通股票还是不动产,每一种投资工具都具有被称为“ ...

  3. (DNS)dnsmasq部署DNS

    转自:https://www.hi-linux.com/posts/30947.html Dnsmasq提供DNS缓存和DHCP服务.Tftp服务功能.作为域名解析服务器(DNS),Dnsmasq可以 ...

  4. STM32F10x_ADC三通道DMA连续转换(3通道、软件单次触发)

    Ⅰ.概述 上一篇文章讲述的内容是:三通道逐次转换(单次.单通道软件触发),也就是说3条通道要三次软件触发才能完成转换,而且是通过软件读取转换数值. 本文讲述三通道DMA连续转换(3通道.软件单次触发) ...

  5. (转)azkaban job参数说明

    azkaban的工作流中的参数可以分为如下几个类型:azkaban UI 页面输入参数, 环境变量参数, job作业文件中定义的参数,工作流的用户定义的属性文件,上游作业传递给下游的参数,工作流运行时 ...

  6. hbase源码系列(四)数据模型-表定义和列族定义的具体含义

    hbase是一个KeyValue型的数据库,在<hbase实战>描述它的逻辑模型[行键,列族,列限定符,时间版本],物理模型是基于列族的.但实际情况是啥?还是上点代码吧. HTableDe ...

  7. VB6学习笔记

    1.数据库读取 [工程]菜单的[引用]菜单项,打开引用对话框,选中[Microsoft ActiveX Data Objects 6.1 Library] [工程]菜单的[引用]菜单项,打开引用对话框 ...

  8. 百度地图Api进阶教程-点聚合9.html

    <!DOCTYPE html> <html> <head> <meta http-equiv="Content-Type" content ...

  9. MVC教程七:扩展HtmlHelper方法

    在上一篇文章的最后,列出了一些常见的HtmlHelper的方法,这些都是ASP.NET MVC已经定义好的,如果我们想自己定义一个HtmlHelper方法可以吗?答案是肯定的,那么如何自定义一个Htm ...

  10. Linux SWAP 交换分区大小与内存的关系

    LinuxSWAP交换分区大小与内存的关系SWAP(交换分区)[Windows虚拟内存]我们机房中一台Linux服务器运行缓慢,系统服务出现间歇性停止响应,让我过去处理一下这一问题,登录到服务器之后, ...