Redis-benchmark测试Redis性能-白红宇

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 
     
      ] [-p 
      
       ] [-c 
       
        ] [-n 
        
          [-k 
         
          ] -h 
          
            Server hostname (default 127.0.0.1) -p 
           
             Server port (default 6379) -s 
            
              Server socket (overrides host and port) -c 
             
               Number of parallel connections (default 50) -n 
              
                Total number of requests (default 10000) -d 
               
                 Data size of SET/GET value in bytes (default 2) -k 
                
                  1=keep alive 0=reconnect (default 1) -r 
                 
                   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 
                  
                    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 
                   
                     Pipeline 
                    
                      requests. Default 1 (no pipeline). -q Quiet. Just show query/sec values --csv Output in CSV format -l Loop. Run the tests forever -t 
                     
                       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：

www@iZ23s8agtagZ:~$ 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: 1100.00% <= 0 milliseconds62111.80 requests per second====== LRANGE_100 (first 100 elements) ======  10000 requests completed in 0.26 seconds  10 parallel clients  3 bytes payload  keep alive: 1100.00% <= 0 milliseconds39062.50 requests per second====== LRANGE_300 (first 300 elements) ======  10000 requests completed in 0.62 seconds  10 parallel clients  3 bytes payload  keep alive: 1100.00% <= 0 milliseconds16051.36 requests per second====== LRANGE_500 (first 450 elements) ======  10000 requests completed in 0.91 seconds  10 parallel clients  3 bytes payload  keep alive: 1100.00% <= 0 milliseconds10940.92 requests per second====== LRANGE_600 (first 600 elements) ======  10000 requests completed in 1.18 seconds  10 parallel clients  3 bytes payload  keep alive: 199.35% <= 1 milliseconds99.88% <= 2 milliseconds99.91% <= 4 milliseconds100.00% <= 4 milliseconds8474.58 requests per second

测试结果2：

www@iZ23s8agtagZ:~$ redis-benchmark -h 121.41.88.209 -p 63789  -t lRange -c 10 -qLPUSH (needed to benchmark LRANGE): 64102.56 requests per secondLRANGE_100 (first 100 elements): 39370.08 requests per secondLRANGE_300 (first 300 elements): 16694.49 requests per secondLRANGE_500 (first 450 elements): 11001.10 requests per secondLRANGE_600 (first 600 elements): 8319.47 requests per second