redis-benchmark

最新推荐文章于 2026-01-06 22:02:48 发布

转载最新推荐文章于 2026-01-06 22:02:48 发布 · 98 阅读

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原文链接：https://my.oschina.net/iepac/blog/705389

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#数据库

本文介绍Redis-benchmark工具的使用方法及参数详解，并提供多个实际测试案例，帮助读者掌握Redis服务性能评估技巧。

为什么80%的码农都做不了架构师？>>>

Redis-benchmark是官方自带的Redis性能测试工具，可以有效的测试Redis服务的性能。

Usage: 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
 --csv              Output in CSV format
 -l                 Loop. Run the tests forever
 -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.

测试命令事例

1、redis-benchmark -h 192.168.1.201 -p 6379 -c 100 -n 100000 100个并发连接，100000个请求，检测host为localhost 端口为6379的redis服务器性能

2、redis-benchmark -h 192.168.1.201 -p 6379 -q -d 100
测试存取大小为100字节的数据包的性能

3、redis-benchmark -t set,lpush -n 100000 -q 只测试某些操作的性能

4、redis-benchmark -n 100000 -q script load "redis.call('set','foo','bar')" 只测试某些数值存取的性能

./redis-benchmark -h 192.168.31.209 -p 6379 -c 1000 -n 100000 -k 1 script load "redis.call('get', 'community:220926914592768')"
====== script load redis.call('get', 'community:220926914592768') ======
  100000 requests completed in 1.78 seconds
  1000 parallel clients
  3 bytes payload
  keep alive: 1

0.00% <= 7 milliseconds
14.96% <= 8 milliseconds
33.49% <= 9 milliseconds
59.90% <= 10 milliseconds
96.10% <= 11 milliseconds
98.73% <= 12 milliseconds
99.01% <= 13 milliseconds
99.32% <= 14 milliseconds
99.49% <= 15 milliseconds
99.64% <= 16 milliseconds
99.86% <= 17 milliseconds
99.96% <= 18 milliseconds
100.00% <= 18 milliseconds
56242.97 requests per second

转载于:https://my.oschina.net/iepac/blog/705389