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
测试结果：
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：
[root@localhost local]# ps -ef|grep redis root 1890 1 0 18:38 ? 00:02:10 /usr/local/bin/redis-server 0.0.0.0:6379 root 3498 3294 0 22:30 pts/1 00:00:00 grep redis [root@localhost local]# redis-benchmark -h 192.168.0.106 -p 6379 -c 100 -n 100000 ====== PING_INLINE ====== 100000 requests completed in 0.82 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.03% <= 1 milliseconds 99.60% <= 2 milliseconds 99.68% <= 3 milliseconds 99.77% <= 4 milliseconds 99.79% <= 6 milliseconds 99.81% <= 7 milliseconds 99.90% <= 8 milliseconds 99.90% <= 10 milliseconds 100.00% <= 10 milliseconds 121654.50 requests per second ====== PING_BULK ====== 100000 requests completed in 0.82 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.89% <= 1 milliseconds 100.00% <= 1 milliseconds 122249.38 requests per second ====== SET ====== 100000 requests completed in 0.87 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.38% <= 1 milliseconds 99.59% <= 3 milliseconds 99.65% <= 4 milliseconds 99.68% <= 6 milliseconds 99.69% <= 7 milliseconds 99.72% <= 14 milliseconds 99.75% <= 15 milliseconds 99.82% <= 18 milliseconds 99.90% <= 19 milliseconds 99.94% <= 20 milliseconds 100.00% <= 20 milliseconds 114810.56 requests per second ====== GET ====== 100000 requests completed in 0.83 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.89% <= 1 milliseconds 100.00% <= 1 milliseconds 120918.98 requests per second ====== INCR ====== 100000 requests completed in 0.82 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.96% <= 1 milliseconds 100.00% <= 1 milliseconds 121506.68 requests per second ====== LPUSH ====== 100000 requests completed in 0.83 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.47% <= 1 milliseconds 99.68% <= 2 milliseconds 99.88% <= 3 milliseconds 99.97% <= 4 milliseconds 100.00% <= 5 milliseconds 100.00% <= 5 milliseconds 120481.93 requests per second ====== RPUSH ====== 100000 requests completed in 0.82 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.87% <= 1 milliseconds 100.00% <= 1 milliseconds 122100.12 requests per second ====== LPOP ====== 100000 requests completed in 0.83 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.93% <= 1 milliseconds 100.00% <= 1 milliseconds 121065.38 requests per second ====== RPOP ====== 100000 requests completed in 0.83 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.87% <= 1 milliseconds 100.00% <= 1 milliseconds 120481.93 requests per second ====== SADD ====== 100000 requests completed in 0.81 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.93% <= 1 milliseconds 100.00% <= 1 milliseconds 123001.23 requests per second ====== HSET ====== 100000 requests completed in 0.82 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.85% <= 1 milliseconds 99.96% <= 5 milliseconds 100.00% <= 5 milliseconds 121951.22 requests per second ====== SPOP ====== 100000 requests completed in 0.82 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.89% <= 1 milliseconds 100.00% <= 1 milliseconds 121506.68 requests per second ====== LPUSH (needed to benchmark LRANGE) ====== 100000 requests completed in 0.81 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.68% <= 1 milliseconds 99.93% <= 3 milliseconds 100.00% <= 3 milliseconds 122850.12 requests per second ====== LRANGE_100 (first 100 elements) ====== 100000 requests completed in 0.81 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.78% <= 1 milliseconds 100.00% <= 1 milliseconds 123152.71 requests per second ====== LRANGE_300 (first 300 elements) ====== 100000 requests completed in 0.81 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.86% <= 1 milliseconds 100.00% <= 1 milliseconds 123456.79 requests per second ====== LRANGE_500 (first 450 elements) ====== 100000 requests completed in 0.81 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.87% <= 1 milliseconds 99.98% <= 2 milliseconds 100.00% <= 3 milliseconds 100.00% <= 3 milliseconds 123152.71 requests per second ====== LRANGE_600 (first 600 elements) ====== 100000 requests completed in 0.81 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.90% <= 1 milliseconds 100.00% <= 1 milliseconds 122850.12 requests per second ====== MSET (10 keys) ====== 100000 requests completed in 0.73 seconds 100 parallel clients 3 bytes payload keep alive: 1 99.28% <= 1 milliseconds 99.87% <= 2 milliseconds 99.88% <= 9 milliseconds 99.89% <= 10 milliseconds 99.98% <= 20 milliseconds 100.00% <= 20 milliseconds 136239.78 requests per second
