Redis-benchmark测试Redis性能详解数据库

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：

 10000 requests completed in 0.30 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.11% = 1 milliseconds 

86.00% = 2 milliseconds 

90.12% = 3 milliseconds 

96.68% = 4 milliseconds 

99.27% = 5 milliseconds 

99.54% = 6 milliseconds 

99.69% = 7 milliseconds 

99.78% = 8 milliseconds 

99.89% = 9 milliseconds 

100.00% = 9 milliseconds 

33222.59 requests per second 

====== PING_BULK ====== 

 10000 requests completed in 0.27 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.93% = 1 milliseconds 

97.66% = 2 milliseconds 

100.00% = 2 milliseconds 

37174.72 requests per second 

====== SET ====== 

 10000 requests completed in 0.32 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.22% = 1 milliseconds 

91.68% = 2 milliseconds 

97.78% = 3 milliseconds 

98.80% = 4 milliseconds 

99.38% = 5 milliseconds 

99.61% = 6 milliseconds 

99.72% = 7 milliseconds 

99.83% = 8 milliseconds 

99.94% = 9 milliseconds 

100.00% = 9 milliseconds 

30959.75 requests per second 

====== GET ====== 

 10000 requests completed in 0.28 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.55% = 1 milliseconds 

98.86% = 2 milliseconds 

100.00% = 2 milliseconds 

35971.22 requests per second 

====== INCR ====== 

 10000 requests completed in 0.14 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

95.61% = 1 milliseconds 

100.00% = 1 milliseconds 

69444.45 requests per second 

====== LPUSH ====== 

 10000 requests completed in 0.21 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

18.33% = 1 milliseconds 

100.00% = 1 milliseconds 

48309.18 requests per second 

====== LPOP ====== 

 10000 requests completed in 0.23 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.29% = 1 milliseconds 

99.76% = 2 milliseconds 

100.00% = 2 milliseconds 

44052.86 requests per second 

====== SADD ====== 

 10000 requests completed in 0.22 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

2.37% = 1 milliseconds 

99.81% = 2 milliseconds 

100.00% = 2 milliseconds 

44444.45 requests per second 

====== SPOP ====== 

 10000 requests completed in 0.22 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

4.27% = 1 milliseconds 

99.84% = 2 milliseconds 

100.00% = 2 milliseconds 

44642.86 requests per second 

====== LPUSH (needed to benchmark LRANGE) ====== 

 10000 requests completed in 0.22 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

12.35% = 1 milliseconds 

99.62% = 2 milliseconds 

100.00% = 2 milliseconds 

46082.95 requests per second 

====== LRANGE_100 (first 100 elements) ====== 

 10000 requests completed in 0.48 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.01% = 1 milliseconds 

3.27% = 2 milliseconds 

98.71% = 3 milliseconds 

99.93% = 4 milliseconds 

100.00% = 4 milliseconds 

20964.36 requests per second 

====== LRANGE_300 (first 300 elements) ====== 

 10000 requests completed in 1.26 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.01% = 2 milliseconds 

0.14% = 3 milliseconds 

0.90% = 4 milliseconds 

7.03% = 5 milliseconds 

31.68% = 6 milliseconds 

78.93% = 7 milliseconds 

98.88% = 8 milliseconds 

99.56% = 9 milliseconds 

99.72% = 10 milliseconds 

99.95% = 11 milliseconds 

100.00% = 11 milliseconds 

7961.78 requests per second 

====== LRANGE_500 (first 450 elements) ====== 

 10000 requests completed in 1.82 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.01% = 2 milliseconds 

0.06% = 3 milliseconds 

0.14% = 4 milliseconds 

0.30% = 5 milliseconds 

0.99% = 6 milliseconds 

2.91% = 7 milliseconds 

8.11% = 8 milliseconds 

43.15% = 9 milliseconds 

88.38% = 10 milliseconds 

97.25% = 11 milliseconds 

98.61% = 12 milliseconds 

99.26% = 13 milliseconds 

99.30% = 14 milliseconds 

99.44% = 15 milliseconds 

99.48% = 16 milliseconds 

99.64% = 17 milliseconds 

99.85% = 18 milliseconds 

99.92% = 19 milliseconds 

99.95% = 20 milliseconds 

99.96% = 21 milliseconds 

99.97% = 22 milliseconds 

100.00% = 23 milliseconds 

5491.49 requests per second 

====== LRANGE_600 (first 600 elements) ====== 

 10000 requests completed in 2.29 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.01% = 2 milliseconds 

0.05% = 3 milliseconds 

0.10% = 4 milliseconds 

0.19% = 5 milliseconds 

0.34% = 6 milliseconds 

0.46% = 7 milliseconds 

0.58% = 8 milliseconds 

4.46% = 9 milliseconds 

21.80% = 10 milliseconds 

40.48% = 11 milliseconds 

60.14% = 12 milliseconds 

79.81% = 13 milliseconds 

93.77% = 14 milliseconds 

97.14% = 15 milliseconds 

98.67% = 16 milliseconds 

99.08% = 17 milliseconds 

99.30% = 18 milliseconds 

99.41% = 19 milliseconds 

99.52% = 20 milliseconds 

99.61% = 21 milliseconds 

99.79% = 22 milliseconds 

99.88% = 23 milliseconds 

99.89% = 24 milliseconds 

99.95% = 26 milliseconds 

99.96% = 27 milliseconds 

99.97% = 28 milliseconds 

99.98% = 29 milliseconds 

100.00% = 29 milliseconds 

4359.20 requests per second 

====== MSET (10 keys) ====== 

 10000 requests completed in 0.37 seconds 

 100 parallel clients 

 3 bytes payload 

 keep alive: 1 

0.01% = 1 milliseconds 

2.00% = 2 milliseconds 

18.41% = 3 milliseconds 

88.55% = 4 milliseconds 

96.09% = 5 milliseconds 

99.50% = 6 milliseconds 

99.65% = 7 milliseconds 

99.75% = 8 milliseconds 

99.77% = 9 milliseconds 

99.78% = 11 milliseconds 

99.79% = 12 milliseconds 

99.80% = 13 milliseconds 

99.81% = 15 milliseconds 

99.82% = 16 milliseconds 

99.83% = 17 milliseconds 

99.84% = 19 milliseconds 

99.85% = 21 milliseconds 

99.86% = 23 milliseconds 

99.87% = 24 milliseconds 

99.88% = 25 milliseconds 

99.89% = 27 milliseconds 

99.90% = 28 milliseconds 

99.91% = 30 milliseconds 

99.92% = 32 milliseconds 

99.93% = 34 milliseconds 

99.95% = 35 milliseconds 

99.96% = 36 milliseconds 

99.97% = 37 milliseconds 

99.98% = 39 milliseconds 

99.99% = 41 milliseconds 

100.00% = 41 milliseconds 

27173.91 requests per second

原创文章，作者：ItWorker，如若转载，请注明出处：https://blog.ytso.com/4960.html