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【提升自己系列】，Redis性能测试还能这样做

作者：互联网

01、服务器环境

参数

linux指令

值

系统

cat /etc/redhat-release

CentOS Linux release 7.8.2003 (Core)

内存

free -h

total：3.7G available：3.0G

CPU数量

cat /proc/cpuinfo

cpu cores       ：2

HZ

cat /proc/cpuinfo |grep MHz|uniq

cpu MHz         : 2100.000

Redis之redis-benchmark

redis 提供了 redis-benchmark 工具便于我们做性能测试，可以使用 redis-benchmark- h 查看参数。

命令

描述

默认值

-h <hostname>

指定服务器主机名

127.0.0.1

-p <port>

指定服务器端口

6379

-s <socket>

指定服务器 socket

-a <password>

Redis 认证密码

-c <clients>

指定并发连接数

50

-n <requests>

指定请求数

10000

-d <size>

以字节（Byte）的形式指定 SET/GET 值的数据大小

3

--dbnum <db>

选择 Redis 数据库编号

0

--threads <num>

启用多线程模式

redis6以上才有

-k <boolean>

是否保持连接 1=keep alive 0=reconnect

1

-r <keyspacelen>

SET/GET/INCR 使用随机 KEY ，SADD 使用随机值

-P <numreq>

默认情况下，Redis 客户端一次请求只发起一个命令。通过 -P 参数，可以设置使用 pipelining功能，一次发起指定个请求，从而提升 QPS

1

-e

如果 Redis Server 返回错误，是否将错误打印出来。默认情况下不打印，通过该参数开启

-q

强制退出 redis。仅显示 query/sec 值

--csv

以 CSV 格式输出

-l (L)

生成循环，永久执行测试

-t <tests>

指定需要测试的 Redis 命令，多个命令通过逗号分隔。想测试 SET/GET 命令，则可以 -t SET,GET 来指定

-I (i)

Idle 模式。仅打开 N 个 idle 连接并等待。

01、Docker Redis测试

单并发测试

测试命令：

./redis-benchmark -c 1 -n 20000 -d 30720 -t set,get

测试结果每秒是 8000+的QPS

多并发测试

====== SET ======

  20000 requests completed in 1.06 seconds
  10 parallel clients
  30720 bytes payload
  keep alive: 1
  host configuration "save": 900 1 300 10 60 10000
  host configuration "appendonly": no
  multi-thread: no
18903.59 requests per second
====== GET ======
 20000 requests completed in 1.30 seconds
 10 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
15360.98 requests per second

测试 -P 命令

====== SET ======
 20007 requests completed in 0.47 seconds
 50 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
42933.48 requests per second
====== GET ======
 20002 requests completed in 0.44 seconds
 50 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
45253.39 requests per second

02、redis6 安装版测试

单并发测试

====== SET ======

 200000 requests completed in 20.20 seconds
 1 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
9900.01 requests per second
====== GET ======
 200000 requests completed in 20.01 seconds
 1 parallel clients
 3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
9995.50 requests per second

多并发测试

====== SET ======
 200000 requests completed in 3.00 seconds
 10 parallel clients
 3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
66622.25 requests per second
====== GET ======
 200000 requests completed in 3.02 seconds
 10 parallel clients
 3 bytes payload
 keep alive:1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
66137.57 requests per second

03、-P 测试

单并发测试

====== SET ======

 200000 requests completed in 2.20 seconds
 1 parallel clients
 3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no  
multi-thread: no
90991.81 requests per second
====== GET ======
 200000 requests completed in 2.15 seconds
 1 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no  
multi-thread: no
92980.01 requests per second

多并发测试

====== SET ======

 200010 requests completed in 0.42 seconds
 10 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
480793.25 requests per second
====== GET ======
 200000 requests completed in 0.34 seconds
 10 parallel clients
 3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
586510.25 requests per second

02、换服务器测试

参数

linux指令

值

系统

cat /etc/redhat-release

CentOS Linux release 7.7.1908 (Core)

内存

free -h

total：3.6G ，available：782M

CPU数量

cat /proc/cpuinfo

cpu cores       : 1

HZ

cat /proc/cpuinfo |grep MHz|uniq

cpu MHz         : 2500.002

01、Docker Redis

单并发测试

====== SET ======

 20000 requests completed in 1.22 seconds
 1 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no  
multi-thread: no
16420.36 requests per second

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

 20000 requests completed in 1.42 seconds
 1 parallel clients  30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
14094.43 requests per second

多并发测试

====== SET ======
 20000 requests completed in 0.66 seconds
 10 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
30395.14 requests per second
====== GET ======
 20000 requests completed in 0.81 seconds
 10 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no  
multi-thread: no
24721.88 requests per second

02、-P 测试

单并发测试

====== SET ======
 20000 requests completed in 0.59 seconds
 1 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
33726.81 requests per second
====== GET ======
 20000 requests completed in 0.50 seconds
 1 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no  
multi-thread: no
39682.54 requests per second

多并发测试

====== SET ======

 20008 requests completed in 0.31 seconds
 10 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
64750.81 requests per second
====== GET ======
 20017 requests completed in 0.27 seconds
 10 parallel clients
 30720 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
73591.91 requests per second

03、Redis 安装版

单并发测试

====== SET ======

 200000 requests completed in 7.21 seconds
 1 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
27735.40 requests per second
====== GET ======
 200000 requests completed in 7.06 seconds
 1 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
28312.57 requests per second

多并发测试

====== SET =====

 200000 requests completed in 2.31 seconds
 10 parallel clients
 3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
86730.27 requests per second
===== GET ======
 200000 requests completed in 2.29 seconds
 10 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
87221.98 requests per second

04、-P 测试

单并发

====== SET ======
 200000 requests completed in 0.89 seconds
 1 parallel clients
 3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
223964.16 requests per second
====== GET ======
 200000 requests completed in 0.81 seconds
 1 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
247524.75 requests per second

多并发

====== SET ======

  200000 requests completed in 0.29 seconds
  10 parallel clients
  3 bytes payload
  keep alive: 1
  host configuration "save": 900 1 300 10 60 10000
  host configuration "appendonly": no
  multi-thread: no
687285.19 requests per second
====== GET ======
 200000 requests completed in 0.27 seconds
 10 parallel clients  3 bytes payload
 keep alive: 1
 host configuration "save": 900 1 300 10 60 10000
 host configuration "appendonly": no
 multi-thread: no
751879.69 requests per second

明显可以看出 换了一台的服务器，CPU没有上一台多，可用内存剩余少，单单只是HZ不一样，但结果相差甚大。
其他运行测试，当一台32G的内存服务器，Redis跑到 7G 的时候 QPS 从 20W+ 一路下跌，跑到31G的时候QPS大约为 3W+。(这个大家可以自测 把 -d 值给大就行)

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标签：10,系列,no,Redis,alive,host,测试,requests,configuration
来源： https://blog.csdn.net/jiangjunsss/article/details/123181668