Redis 性能测试
- 实例

Redis 性能测试

Redis 性能测试是通过同时执行多个命令实现的。

语法

redis 性能测试的基本命令如下：

redis-benchmark [option] [option value]

实例

测试存取大小为100字节的数据包的性能。

$ redis-benchmark -h 127.0.0.1 -p 6379 -q -d 100

PING_INLINE: 85910.65 requests per second PING_BULK: 123762.38 requests per second SET: 85763.29 requests per second GET: 81699.35 requests per second INCR: 82372.32 requests per second LPUSH: 83472.46 requests per second LPOP: 82712.98 requests per second SADD: 82236.84 requests per second SPOP: 83963.05 requests per second LPUSH (needed to benchmark LRANGE): 82850.04 requests per second LRANGE_100 (first 100 elements): 29585.80 requests per second LRANGE_300 (first 300 elements): 9348.42 requests per second LRANGE_500 (first 450 elements): 7562.58 requests per second LRANGE_600 (first 600 elements): 6780.58 requests per second MSET (10 keys): 94428.70 requests per second

序号	选项	描述	默认值
1	-h	指定服务器主机名	127.0.0.1
2	-p	指定服务器端口	6379
3	-s	指定服务器 socket
4	-c	指定并发连接数	50
5	-n	指定请求数	10000
6	-d	以字节的形式指定 SET/GET 值的数据大小	2
7	-k	1=keep alive 0=reconnect	1
8	-r	SET/GET/INCR 使用随机 key, SADD 使用随机值
9	-P	通过管道传输 <numreq> 请求	1
10	-q	强制退出 redis。仅显示 query/sec 值
11	—csv	以 CSV 格式输出
12	-l	生成循环，永久执行测试
13	-t	仅运行以逗号分隔的测试命令列表。
14	-I	Idle 模式。仅打开 N 个 idle 连接并等待。

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
```
$ redis-benchmark -h 127.0.0.1 -p 6379 -c 100 -n 100000
```


====== PING_INLINE ======
100000 requests completed in 0.83 seconds 100 parallel clients
3 bytes payload
keep alive: 1
98.95% <= 1 milliseconds
100.00% <= 1 milliseconds
120192.30 requests per second
====== PING_BULK ======
100000 requests
completed in 0.82 seconds
100 parallel clients
3 bytes payload
keep alive: 1
100.00% <= 0 milliseconds
121506.68 requests per second
====== SET ======
100000 requests
completed in 0.82 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.80% <= 1 milliseconds
100.00% <= 1 milliseconds
122249.38 requests per second
====== GET ======
100000 requests
completed in 0.81 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.79% <= 1 milliseconds
100.00% <= 1 milliseconds
122699.39 requests per second
====== INCR ======
100000 requests
completed in 0.81 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.95% <= 1 milliseconds
100.00% <= 1 milliseconds
124223.60 requests per second
====== LPUSH ======
100000 requests
completed in 0.82 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.82% <= 1 milliseconds
100.00% <= 1 milliseconds
122100.12 requests per second
====== LPOP ======
100000 requests
completed in 1.30 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.93% <= 1 milliseconds
100.00% <= 1 milliseconds
77160.49 requests per second
====== SADD ======
100000 requests
completed in 0.88 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.81% <= 1 milliseconds
99.97% <= 2 milliseconds
100.00% <= 2 milliseconds
113895.21 requests per second
====== SPOP ======
100000 requests completed in 0.82 seconds 100 parallel clients
3 bytes payload
keep alive: 1
99.78% <= 1 milliseconds
100.00% <= 1 milliseconds
121802.68 requests per second
====== LPUSH (needed to benchmark LRANGE) ====== 100000 requests
completed in 0.81 seconds
100 parallel clients
3 bytes payload
keep alive: 1
99.09% <= 1 milliseconds
99.94% <= 2 milliseconds
100.00% <= 2 milliseconds
122850.12 requests per second
====== LRANGE_100 (first 100 elements) ======
100000 requests
completed in 2.13 seconds
100 parallel clients
3 bytes payload
keep alive: 1
28.64% <= 1 milliseconds
99.65% <= 2 milliseconds
99.97% <= 3 milliseconds
100.00% <= 3 milliseconds
47036.69 requests per second

====== LRANGE_300 (first 300 elements) ====== 100000 requests completed in 5.46 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.01% <= 1 milliseconds 0.50% <= 2 milliseconds 82.99% <= 3 milliseconds 99.11% <= 4 milliseconds 99.75% <= 5 milliseconds 99.95% <= 6 milliseconds 100.00% <= 6 milliseconds 18325.09 requests per second ====== LRANGE_500 (first 450 elements) ====== 100000 requests completed in 7.94 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.01% <= 1 milliseconds 0.10% <= 2 milliseconds 3.03% <= 3 milliseconds 58.57% <= 4 milliseconds 93.27% <= 5 milliseconds 99.03% <= 6 milliseconds 99.53% <= 7 milliseconds 99.72% <= 8 milliseconds 99.77% <= 9 milliseconds 99.82% <= 10 milliseconds 99.85% <= 11 milliseconds 99.88% <= 12 milliseconds 99.94% <= 13 milliseconds 99.97% <= 14 milliseconds 99.98% <= 15 milliseconds 99.99% <= 16 milliseconds 100.00% <= 17 milliseconds 100.00% <= 17 milliseconds 12600.81 requests per second ====== LRANGE_600 (first 600 elements) ====== 100000 requests completed in 10.34 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 0.01% <= 2 milliseconds 0.10% <= 3 milliseconds 6.40% <= 4 milliseconds 45.93% <= 5 milliseconds 84.86% <= 6 milliseconds 95.54% <= 7 milliseconds 99.47% <= 8 milliseconds 99.81% <= 9 milliseconds 99.94% <= 10 milliseconds 99.99% <= 11 milliseconds 100.00% <= 11 milliseconds 9673.99 requests per second ====== MSET (10 keys) ====== 100000 requests completed in 1.01 seconds 100 parallel clients 3 bytes payload keep alive: 1 84.16% <= 1 milliseconds 99.59% <= 2 milliseconds 99.85% <= 3 milliseconds 100.00% <= 3 milliseconds 99206.34 requests per second

原文: https://piaosanlang.gitbooks.io/redis/content/10_redisxing_neng_ce_shi.html

10. Redis 性能测试

Redis 性能测试

实例