Redis-benchmark测试Redis性能

Posted 2020-08-14

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。

使用说明如下：

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

 

测试结果分析：

[email protected]:~$ redis-benchmark -h 121.41.88.209 -p 63789  -t lRange -c 10
====== LPUSH (needed to benchmark LRANGE) ======
  10000 requests completed in 0.16 seconds
  10 parallel clients
  3 bytes payload
  keep alive: 1

100.00% <= 0 milliseconds
62111.80 requests per second

====== LRANGE_100 (first 100 elements) ======
  10000 requests completed in 0.26 seconds
  10 parallel clients
  3 bytes payload
  keep alive: 1

100.00% <= 0 milliseconds
39062.50 requests per second

====== LRANGE_300 (first 300 elements) ======
  10000 requests completed in 0.62 seconds
  10 parallel clients
  3 bytes payload
  keep alive: 1

100.00% <= 0 milliseconds
16051.36 requests per second

====== LRANGE_500 (first 450 elements) ======
  10000 requests completed in 0.91 seconds
  10 parallel clients
  3 bytes payload
  keep alive: 1

100.00% <= 0 milliseconds
10940.92 requests per second

====== LRANGE_600 (first 600 elements) ======
  10000 requests completed in 1.18 seconds
  10 parallel clients
  3 bytes payload
  keep alive: 1

99.35% <= 1 milliseconds
99.88% <= 2 milliseconds
99.91% <= 4 milliseconds
100.00% <= 4 milliseconds
8474.58 requests per second

测试结果2：

[email protected]:~$ redis-benchmark -h 121.41.88.209 -p 63789  -t lRange -c 10 -q
LPUSH (needed to benchmark LRANGE): 64102.56 requests per second
LRANGE_100 (first 100 elements): 39370.08 requests per second
LRANGE_300 (first 300 elements): 16694.49 requests per second
LRANGE_500 (first 450 elements): 11001.10 requests per second
LRANGE_600 (first 600 elements): 8319.47 requests per second