你万万想不到，Redis性能测试还能这样做

01 服务器环境

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。

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

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)

最后：

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