Redis 性能测试

最新推荐文章于 2024-03-14 15:40:36 发布

转载最新推荐文章于 2024-03-14 15:40:36 发布 · 91 阅读

0 ·

CC 4.0 BY-SA版权

原文链接：http://www.cnblogs.com/niejunlei/p/8656012.html

文章标签：

#数据库

本文通过使用redis-benchmark工具进行了一系列Redis命令的性能测试，包括PING、SET、GET等常见操作，并详细记录了每种命令在不同负载下的响应时间和吞吐量。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

测试命令：

.\redis-benchmark.exe -n 100

测试结果：

====== PING_INLINE ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
64.00% <= 1 milliseconds
100.00% <= 1 milliseconds
50000.00 requests per second
 
====== PING_BULK ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
54.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== SET ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
51.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== GET ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
79.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== INCR ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
53.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== LPUSH ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
84.00% <= 1 milliseconds
100.00% <= 1 milliseconds
50000.00 requests per second
 
====== LPOP ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
58.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== SADD ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
51.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== SPOP ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
82.00% <= 1 milliseconds
100.00% <= 1 milliseconds
99999.99 requests per second
 
====== LPUSH (needed to benchmark LRANGE) ====
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
59.00% <= 1 milliseconds
100.00% <= 1 milliseconds
50000.00 requests per second
 
====== LRANGE_100 (first 100 elements) ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
31.00% <= 1 milliseconds
100.00% <= 2 milliseconds
50000.00 requests per second
 
====== LRANGE_300 (first 300 elements) ======
  100 requests completed in 0.01 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
8.00% <= 1 milliseconds
55.00% <= 2 milliseconds
89.00% <= 3 milliseconds
100.00% <= 3 milliseconds
16666.67 requests per second
 
====== LRANGE_500 (first 450 elements) ======
  100 requests completed in 0.01 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
1.00% <= 1 milliseconds
28.00% <= 2 milliseconds
66.00% <= 3 milliseconds
86.00% <= 4 milliseconds
100.00% <= 5 milliseconds
11111.11 requests per second
 
====== LRANGE_600 (first 600 elements) ======
  100 requests completed in 0.01 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
1.00% <= 1 milliseconds
12.00% <= 2 milliseconds
43.00% <= 3 milliseconds
67.00% <= 4 milliseconds
80.00% <= 5 milliseconds
96.00% <= 6 milliseconds
100.00% <= 6 milliseconds
9090.91 requests per second
 
====== MSET (10 keys) ======
  100 requests completed in 0.00 seconds
  50 parallel clients
  3 bytes payload
  keep alive: 1
 
14.00% <= 1 milliseconds
100.00% <= 1 milliseconds
50000.00 requests per second

转载于:https://www.cnblogs.com/niejunlei/p/8656012.html