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How to deal with high concurrency issues in php

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2020-06-02 09:12:305090browse

How to deal with high concurrency issues in php

php generally has the following methods to deal with high concurrency issues:

1. Separate applications and static resources

Separate static resources (js, css , pictures, etc.) into a dedicated server.

2. Page caching

Caching the pages generated by the application can save a lot of CPU resources. For some pages that frequently change data, you can use ajax to process it.

3. Cluster and distributed

Cluster, multiple servers have the same functions and mainly play the role of diversion. Distributed, putting different businesses on different servers. Multiple servers may be needed to process a request, thereby increasing the processing speed of a request. It is further divided into static resource cluster and application cluster. The latter is more complicated, and issues such as session synchronization often need to be considered.

4. Reverse proxy

The server that the client directly accesses is not the server that directly provides services. It obtains resources from other servers and then returns the results to the user.

Proxy server and reverse proxy server:

The proxy server accesses resources on our behalf and then returns the results. For example, access the proxy server of the external network. The reverse proxy server is when we normally access a server, the server itself calls other servers.

We actively use the proxy server to serve us and do not need to have its own domain name; the reverse proxy is used by the server itself, and we do not know that it has its own domain name.

5. CDN

CDN is a special cluster page cache server. Compared with multiple page cache servers in an ordinary cluster, the main difference is: its storage location and allocation request method are different. .

CDN servers are distributed across the country. After receiving a request, it will be assigned to the most appropriate CDN server node to obtain the data. Each of its CDN nodes is a page caching server.

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