Nginx代理缓存功能

Nginx代理缓存功能
      Nginx缓存主要是用于减轻后端服务器的负载,提高网站并发量,提升用户体验度。

注意:Nginx反向代理的缓存功能是由ngx_http_proxy_module提供,在使用缓存功能时务必要nginx支持该模块。可能有些选项的不支持Nginx的版本,具体看官方文档: http://nginx.org/en/docs/http/ngx_http_proxy_module.html

后端服务器可能无法承受负载
为了更好的提升用户体验
环境介绍

                 服务器IP            服务器角色

               192.168.123.36           代理服务器

               192.168.123.34           上游服务器

                                                                                部署环境配置表 1-0                                                                 

Proxy cache配置

    1.server配置

proxy_cache_path /cache/nginx/ levels=1:2 keys_zone=mycache:64m;
server {
listen 80;
location / {
proxy_cache mycache;
proxy_pass http://192.168.123.34:80/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_cache_methods GET HEAD;
proxy_cache_revalidate on;
proxy_cache_valid 200 302 10m;
proxy_cache_valid 404 1m;
proxy_cache_valid any 1m;
proxy_cache_min_uses 1;
proxy_cache_use_stale error timeout invalid_header http_500 http_502 http_503 http_504;

}
}
    2.参数详解

proxy_cache_path /cache/nginx/ levels=1:2 keys_zone=mycache:64m;
#proxy_cache_path 为缓存存放路径;
#levels的第一位表示使用1级子目录冒号隔开第二位表示使用2级子目录,其最多使用三级,1表示每个一级子目录的名字只能使用1个字符;
#key_zone中的mycache为缓存名字,可以在location或者server中通过proxy_cache引用;64m表示用多少内存空间存储nginx key;

proxy_cache mycache;
#引用mycache缓存空间;

proxy_pass http://192.168.123.34:80/;
#将来自 / 的请求代理至192.168.123.34:80 该服务器,后面的 '/' 是必须的;

proxy_set_header Host $host;
#用于后端的real server区分不同的虚拟主机;

proxy_set_header X-Real-IP $remote_addr;
#记录客户端真实ip地址,而不是代理服务器地址,需要后端web服务器开启日志相应功能接收;

proxy_cache_methods GET HEAD;
#表示对客户端请求的GET 和 HEAD方法进行缓存;

proxy_cache_revalidate on;
#本地缓存过期会检查后端服务器该缓存是否存在,避免后端重传占据带宽;

proxy_cache_valid 200 302 10m;
proxy_cache_valid 404 1m;
proxy_cache_valid any 1m;
#针对于不同的响应码进行缓存不同的时间设定;

proxy_cache_min_uses 1;
#某一个请求被响应多少次才会被缓存,默认是1,可以将该值设置为大一些;

proxy_cache_use_stale error timeout invalid_header http_500 http_502 http_503 http_504;
#指明哪种场景可以使用过期缓存,提升用户体验;

补充:
proxy_hide_header;
#隐藏由proxy响应客户端时指定的首部;

proxy_buffer 4|8k
#为了响应客户端更快,服务器端响应客户端可能分成多个ip报文响应,也可以整合在一起再一次响应;


Nginx缓存是键值存储,URL是键,文件路径是值。键值存储的速度就是加快在文件系统中查找的速度。所以,存储的key是哈希过的值。

3.平滑重启nginx

[root@localhost nginx]# nginx -s reload
[root@localhost nginx]# ps -elf|grep nginx
1 S root 10175 1 0 80 0 - 27830 sigsus 09:52 ? 00:00:00 nginx: master process nginx
5 S www 11165 10175 0 80 0 - 28893 ep_pol 18:10 ? 00:00:00 nginx: worker process
5 S www 11166 10175 0 80 0 - 28893 ep_pol 18:10 ? 00:00:00 nginx: worker process
5 S www 11167 10175 0 80 0 - 27830 ep_pol 18:10 ? 00:00:00 nginx: cache manager process
重启完成这里会多一个cache manager,其主要作用和memcached的LRU算法相似,删除过期缓存。而如果缓存没过期其上有服务器数据发生变化则依旧访问是错误的数据。可以通过程序实现。

4. 后端服务器配置静态页面

    4.1 虚拟主机配置

server {
listen 80;
server_name www.test.com;
location / {
root html/bbs;
index index.html index.htm;
}
}
    4.2 页面内容

<h1>i am node1</h1>
    4.3 物理机尝试访问

 

 

 

 

    #可以在代理服务器里查看到缓存的key

  #此时修改index内容客户端请求并不会发生改变

<h1>i am node2 node2!!!</h1>
   #客户端清理缓存再次请求

 

 

 

5.在不使用缓存与使用缓存的对比测速

    1.分别处理10000个请求1000个并发对比,先是不使用缓存的情况

[root@localhost nginx]# ab -n 10000 -c 1000 http://www.test.com/index.html
This is ApacheBench, Version 2.3 <$Revision: 1430300 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking www.test.com (be patient)
Completed 1000 requests
Completed 2000 requests
Completed 3000 requests
Completed 4000 requests
Completed 5000 requests
Completed 6000 requests
Completed 7000 requests
Completed 8000 requests
Completed 9000 requests
Completed 10000 requests
Finished 10000 requests


Server Software: nginx/1.6.3
Server Hostname: www.test.com
Server Port: 80

Document Path: /index.html
Document Length: 20 bytes

Concurrency Level: 1000
Time taken for tests: 4.393 seconds
Complete requests: 10000
Failed requests: 836
(Connect: 0, Receive: 0, Length: 836, Exceptions: 0)
Write errors: 0
Non-2xx responses: 836
Total transferred: 2586108 bytes
HTML transferred: 343792 bytes
Requests per second: 2276.42 [#/sec] (mean)
Time per request: 439.286 [ms] (mean)
Time per request: 0.439 [ms] (mean, across all concurrent requests)
Transfer rate: 574.91 [Kbytes/sec] received

Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 114 312.3 6 3018
Processing: 11 116 283.4 51 3038
Waiting: 1 112 283.4 48 3038
Total: 18 230 482.0 64 4019

Percentage of the requests served within a certain time (ms)
50% 64
66% 78
75% 93
80% 105
90% 1054
95% 1261
98% 2066
99% 2315
100% 4019 (longest request)

#在不使用缓存的情况下耗费了4.393秒,值可以多测试几次对比
    2.使用缓存

[root@localhost nginx]# ab -n 10000 -c 1000 http://www.test.com/index.html
This is ApacheBench, Version 2.3 <$Revision: 1430300 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking www.test.com (be patient)
Completed 1000 requests
Completed 2000 requests
Completed 3000 requests
Completed 4000 requests
Completed 5000 requests
Completed 6000 requests
Completed 7000 requests
Completed 8000 requests
Completed 9000 requests
Completed 10000 requests
Finished 10000 requests


Server Software: nginx/1.6.3
Server Hostname: www.test.com
Server Port: 80

Document Path: /index.html
Document Length: 20 bytes

Concurrency Level: 1000
Time taken for tests: 1.179 seconds
Complete requests: 10000
Failed requests: 651
(Connect: 0, Receive: 0, Length: 651, Exceptions: 0)
Write errors: 0
Total transferred: 2337250 bytes
HTML transferred: 186980 bytes
Requests per second: 8483.63 [#/sec] (mean)
Time per request: 117.874 [ms] (mean)
Time per request: 0.118 [ms] (mean, across all concurrent requests)
Transfer rate: 1936.36 [Kbytes/sec] received

Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 66 195.8 24 1044
Processing: 11 31 11.0 30 249
Waiting: 0 22 11.3 22 239
Total: 35 97 194.3 55 1070

Percentage of the requests served within a certain time (ms)
50% 55
66% 59
75% 62
80% 64
90% 84
95% 107
98% 1062
99% 1066
100% 1070 (longest request)
#可以看到在使用缓存的情况下处理10000个请求1000的并发耗时为1.179秒!!!

注意:在使用到缓存的时候务必考虑缓存过期!根据生产场景使用

有需要交流的小伙伴可以点击这里加本人QQ:luke

posted @ 2019-12-21 19:54  久伴成忆  阅读(3193)  评论(0编辑  收藏  举报