Redis-benchmark是官方自帶的Redis性能測試工具，可以有效的測試Redis服務的性能。

使用說明如下：

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 SADDUsing this option the benchmark will get/set keysin the form mykey_rand:000000012456 instead of constantkeys, the <keyspacelen> argument determines the maxnumber of values for the random number. For instanceif set to 10 only rand:000000000000 - rand:000000000009range 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 testnames are the same as the ones produced as output.-I Idle mode. Just open N idle connections and wait.

測試命令事例：

1、redis-benchmark -h?192.168.1.201 -p 6379 -c 100 -n 100000?
100個并發連接，100000個請求，檢測host為localhost 端口為6379的redis服務器性能?

2、redis-benchmark -h?192.168.1.201 -p 6379 -q -d 100??

測試結果：

測試存取大小為100字節的數據包的性能

3、redis-benchmark -t set,lpush -n 100000 -q

只測試某些操作的性能

4、redis-benchmark -n 100000 -q script load "redis.call('set','foo','bar')"

只測試某些數值存取的性能

?

測試結果分析：

[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 seconds100 parallel clients3 bytes payloadkeep alive: 199.03% <= 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 seconds100 parallel clients3 bytes payloadkeep alive: 199.89% <= 1 milliseconds 100.00% <= 1 milliseconds 122249.38 requests per second====== SET ======100000 requests completed in 0.87 seconds100 parallel clients3 bytes payloadkeep alive: 199.38% <= 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 seconds100 parallel clients3 bytes payloadkeep alive: 199.89% <= 1 milliseconds 100.00% <= 1 milliseconds 120918.98 requests per second====== INCR ======100000 requests completed in 0.82 seconds100 parallel clients3 bytes payloadkeep alive: 199.96% <= 1 milliseconds 100.00% <= 1 milliseconds 121506.68 requests per second====== LPUSH ======100000 requests completed in 0.83 seconds100 parallel clients3 bytes payloadkeep alive: 199.47% <= 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 seconds100 parallel clients3 bytes payloadkeep alive: 199.87% <= 1 milliseconds 100.00% <= 1 milliseconds 122100.12 requests per second====== LPOP ======100000 requests completed in 0.83 seconds100 parallel clients3 bytes payloadkeep alive: 199.93% <= 1 milliseconds 100.00% <= 1 milliseconds 121065.38 requests per second====== RPOP ======100000 requests completed in 0.83 seconds100 parallel clients3 bytes payloadkeep alive: 199.87% <= 1 milliseconds 100.00% <= 1 milliseconds 120481.93 requests per second====== SADD ======100000 requests completed in 0.81 seconds100 parallel clients3 bytes payloadkeep alive: 199.93% <= 1 milliseconds 100.00% <= 1 milliseconds 123001.23 requests per second====== HSET ======100000 requests completed in 0.82 seconds100 parallel clients3 bytes payloadkeep alive: 199.85% <= 1 milliseconds 99.96% <= 5 milliseconds 100.00% <= 5 milliseconds 121951.22 requests per second====== SPOP ======100000 requests completed in 0.82 seconds100 parallel clients3 bytes payloadkeep alive: 199.89% <= 1 milliseconds 100.00% <= 1 milliseconds 121506.68 requests per second====== LPUSH (needed to benchmark LRANGE) ======100000 requests completed in 0.81 seconds100 parallel clients3 bytes payloadkeep alive: 199.68% <= 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 seconds100 parallel clients3 bytes payloadkeep alive: 199.78% <= 1 milliseconds 100.00% <= 1 milliseconds 123152.71 requests per second====== LRANGE_300 (first 300 elements) ======100000 requests completed in 0.81 seconds100 parallel clients3 bytes payloadkeep alive: 199.86% <= 1 milliseconds 100.00% <= 1 milliseconds 123456.79 requests per second====== LRANGE_500 (first 450 elements) ======100000 requests completed in 0.81 seconds100 parallel clients3 bytes payloadkeep alive: 199.87% <= 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 seconds100 parallel clients3 bytes payloadkeep alive: 199.90% <= 1 milliseconds 100.00% <= 1 milliseconds 122850.12 requests per second====== MSET (10 keys) ======100000 requests completed in 0.73 seconds100 parallel clients3 bytes payloadkeep alive: 199.28% <= 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

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