Nginx caching [Proxy cache, Memcache]

Nginx comes with cache

Nginx has a separate process to scan the cache files on the disk and establish a cache index in memory. And there is a management process to make the cache out of date judgment, update and other operations

Definition: can only be used in HTTP segments

Proxy_cache_path/dev/shm/nginx/cache levels=1:2 keys_zone=one:10m inactive=5m loader_sleep=1m max_size=200m;

/dev/shm???????????????? #内存系统, so the cache will be faster.

Level???????????????????? #一般最多三级, this specifies level two, the first level is named after one character, and the second level has two characters.

Keys_zone???????????? #存储在内存中的元数据的大小

Max_size???????????????? #存在shm的内容的大小, which is the size of the cached data

Inactive???????????????? #如果缓存在指定时间内没有被访问, force the update

Loader_time???????????? #每隔指定直接更新内存缓存的索引

Use: Generally used on the front end. The backend makes a upstream, so the cache works better

Location/{

root HTML;

Index index.html index.htm;

Proxy_pass HTTP://WXL;

Proxy_cache one;???????????????????????? #使用刚定义的key_zone

Proxy_cache_valid 1m;???????????????? #成功响应的缓存时间1分钟

}

The cached content is probably like this.

# CAT/DEV/SHM/NGINX/CACHE/8/C5/8F800960E4CA2D295469EE9EFA440C58

key:http://wxl/

http/1.1 OK

Date:sat, 02:54:16 GMT

server:apache/2.2.15 (Red Hat)

Last-modified:sat, 02:49:51 GMT

ETag: "68cc-14-5296a92e464c3"

Accept-ranges:bytes

Content-length:20

Connection:close

content-type:text/html; Charset=utf-8

?

Server3.example.com

?

Based on Memcache cache

For commonly used data, it can also be memcache in a slow. Good performance, for the general scene is a better choice

Install MEMCACHD service: Yum install memcached

I followed the Python connection operation Memcache, so I installed the connector: Yum Install Python-memcached.noarch

server {

???? Listen 80;

server_name www.wxl-dede.com;

?

???? Location/{

???? root HTML;

???? Set $memcached _key "$uri";????????????????

???? Memcached_pass 127.0.0.1:11211;

???? Memcached_connect_timeout 5s;

???? Memcached_read_timeout 5s;

???? Memcached_send_timeout 5s;

???? Memcached_buffer_size 32k;

???? Error_page 404 502 504 = @fallback;

????}

???? Location @fallback {

???? Proxy_pass HTTP://WXL;

????}

}

Explanation of some directives:

Memcached_pass address[:p Ort]/upstream;???????? #连接memcache

Memcached_connect_timeout time;???????????????? #连接超时时间

Memcached_read_timeout 5s;???????????????????? #nginx服务器向mc发出两次写请求之间的等待时间, if no data is transferred during that time, the connection will be closed

Memcached_read_timeout 5s;???????? #两次读请求之间

Memcached_buffer_size 32k;???????????? #nginx接收mc数据的缓冲区大小

?

Here we use a picture to do the test

>>> f = open ("/root/p.jpg")

>>> F=f.read ()

>>> mc.add ('/pic ', f)

Visit: Http://www.wxl-dede.com/pic

Access other connections go directly to other fallback

It is important to note that Nginx is just reading data, but writing data is done by a backend program. Nginx has other modules to support Nginx in the MC operation of data, such as: Memc_nginx and Srcache_nginx solutions, not discussed here first.

Nginx caching [Proxy cache, Memcache]