Twemproxy和Redis性能压力测试

性能测试

Redis自带了一个叫 redis-benchmark的工具来模拟N个客户端同时发出M个请求,(类似于Apache ab程序),你可以使用redis-benchmark -h来查看基准参数。

  Usage: redis-benchmark [-h ] [-p ] [-c ] [-n  [-k ]    -h       #指定服务器名称(default 127.0.0.1);  -p           #指定服务器端口(default 6379);  -s         #指定服务器Socket(overrides host and port);  -a       #指定Redis密码;  -c        #指定并行客户端数量 (default 50);  -n       #指定总的请求数量(default 100000);  -d           #指定SET/GET一次数据大小 (default 2 Bytes);  -dbnum         #选择指定的数据库(default 0);  -k        #保持一个连接,一台服务器来处理这些请求 (default 1);  -r    #设置随机Key;  -P         #Pipeline  requests. Default 1 (no pipeline).  -q                 #显示每秒钟能处理多少请求数结果;  --csv              #输出为CSV格式;  -l                 #Loop. Run the tests forever.  -I                 #Idle mode. Just open N idle connections and wait.  

这里用redis自带的benchmark工具测试,由于twemproxy不支持ping命令,所以对于twemproxy只测试set, get, incr, lpush, lpop, sadd, spop, lpush, lrange_100, lrange_300, lrange_500, lrange_600,mset命令。

Redis单实例简单测试

1)客户端分别为1/1000/5000,总请求数为100000,Key大小为1k,针对set/get命令测试QPS和完成时间(服务器:CPU 64核,内存 64G)

  # redis-benchmark -h 0.0.0.0 -p 6500 -c 1 -t set,get -d 1000  ====== SET ======   100000 requests completed in 2.65 seconds    #完成时间   1 parallel clients   1000 bytes payload   keep alive: 1    100.00% < = 0 milliseconds  37764.35 requests per second                  #每秒请求数    ====== GET ======   100000 requests completed in 1.70 seconds   1 parallel clients   1000 bytes payload   keep alive: 1    100.00% <= 0 milliseconds  58962.27 requests per second  
  # redis-benchmark -h 0.0.0.0 -p 6500 -c 1000 -t set,get -d 1000  ====== SET ======   100000 requests completed in 0.75 seconds   1000 parallel clients   1000 bytes payload   keep alive: 1    0.00% < = 4 milliseconds  ....................  100.00% <= 14 milliseconds  132450.33 requests per second    ====== GET ======   100000 requests completed in 0.78 seconds   1000 parallel clients   1000 bytes payload   keep alive: 1    0.00% <= 3 milliseconds  ..................  100.00% <= 8 milliseconds  128205.13 requests per second  
  # redis-benchmark -h 0.0.0.0 -p 6500 -c 5000 -t set,get -d 1000  ====== SET ======    100000 requests completed in 1.18 seconds    5000 parallel clients    1000 bytes payload    keep alive: 1    0.00% < = 28 milliseconds  ..........................  100.00% <= 105 milliseconds  84817.64 requests per second    ====== GET ======    100000 requests completed in 1.24 seconds    5000 parallel clients    1000 bytes payload    keep alive: 1    0.00% <= 35 milliseconds  .......................  100.00% <= 55 milliseconds  80580.17 requests per second  

下面提供一个CPU 8核,内存8G的压测结果。

  root@shd-ops-mng1:~ # redis-benchmark -h 0.0.0.0 -p 6380 -c 1 -t set,get -d 1000  ====== SET ======    100000 requests completed in 6.50 seconds    1 parallel clients    1000 bytes payload    keep alive: 1    98.95% < = 1 milliseconds  ...................  100.00% <= 6 milliseconds  15379.88 requests per second    ====== GET ======    100000 requests completed in 6.68 seconds    1 parallel clients    1000 bytes payload    keep alive: 1    98.91% <= 1 milliseconds  ..................  100.00% <= 4 milliseconds  14965.58 requests per second  
  # redis-benchmark -h 0.0.0.0 -p 6380 -c 1000 -t set,get -d 1000  ====== SET ======    100000 requests completed in 0.96 seconds    1000 parallel clients    1000 bytes payload    keep alive: 1    0.00% < = 4 milliseconds  ....................  103734.44 requests per second    ====== GET ======    100000 requests completed in 1.00 seconds    1000 parallel clients    1000 bytes payload    keep alive: 1    0.00% <= 3 milliseconds  ...................  100.00% <= 15 milliseconds  100300.91 requests per second  

默认情况下面,基准测试使用单一的key。在一个基于内存的数据库里, 单一key测试和真实情况下面不会有巨大变化。当然,使用一个大的key范围空间, 可以模拟现实情况下面的缓存不命中情况。

这时候我们可以使用-r命令。比如,假设我们想设置10万随机key连续SET 100万次,连接客户端分别为1/5/1000,我们可以使用下列的命令:

  # redis-benchmark -h 0.0.0.0 -p 6500 -c 1 -r 100000 -q 1000000 -t set -d 1000 -q  1000000 -t set -d 1000 -q: 63051.70 requests per second    # redis-benchmark -h 0.0.0.0 -p 6500 -c 1000 -r 100000 -q 1000000 -t set -d 1000 -q  1000000 -t set -d 1000 -q: 94966.77 requests per second    # redis-benchmark -h 0.0.0.0 -p 6500 -c 5000 -r 100000 -q 1000000 -t set -d 1000 -q  1000000 -t set -d 1000 -q: 83542.19 requests per second  

测试twemproxy

  # redis-benchmark -h 0.0.0.0 -p 36379 -c 1 -t set,get -d 1000  ====== SET ======    10000 requests completed in 1.08 seconds    1 parallel clients    1000 bytes payload    keep alive: 1    100.00% < = 0 milliseconds  9267.84 requests per second    ====== GET ======    10000 requests completed in 1.08 seconds    1 parallel clients    1000 bytes payload    keep alive: 1    100.00% <= 0 milliseconds  9293.68 requests per second  
  # redis-benchmark -h 0.0.0.0 -p 36379 -c 1000 -t set,get -d 1000  ====== SET ======    10000 requests completed in 0.18 seconds    1000 parallel clients    1000 bytes payload    keep alive: 1    0.01% < = 3 milliseconds  ................  100.00% <= 20 milliseconds  55555.55 requests per second    ====== GET ======    10000 requests completed in 0.21 seconds    1000 parallel clients    1000 bytes payload    keep alive: 1    0.01% <= 5 milliseconds  ..............  100.00% <= 23 milliseconds  47393.37 requests per second  
  # redis-benchmark -h 0.0.0.0 -p 36379 -c 5000 -t set,get -d 1000  ====== SET ======    10000 requests completed in 0.28 seconds    5000 parallel clients    1000 bytes payload    keep alive: 1    0.01% < = 28 milliseconds  .......................  100.00% <= 87 milliseconds  35587.19 requests per second    ====== GET ======    10000 requests completed in 0.29 seconds    5000 parallel clients    1000 bytes payload    keep alive: 1    0.01% <= 33 milliseconds  ....................  100.00% <= 85 milliseconds  34364.26 requests per second  

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超哥软件库 » Twemproxy和Redis性能压力测试