Home PHP Framework Swoole How swoole solves high concurrency

How swoole solves high concurrency

Dec 02, 2019 pm 02:49 PM
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How swoole solves high concurrency

swoole provides PHP language asynchronous multi-threaded server, asynchronous TCP/UDP network client, asynchronous MySQL, asynchronous Redis, database connection pool, AsyncTask, message queue, millisecond timer, Asynchronous file reading and writing, asynchronous DNS query. Swoole also has built-in Http/WebSocket server/client and Http2.0 server. (Recommended learning: swoole video tutorial)

Swoole has a built-in asynchronous non-blocking, multi-threaded network IO server at the bottom layer. PHP programmers only need to handle event callbacks and do not need to care about the underlying layer. Unlike fully asynchronous frameworks such as Nginx/Tornado/Node.js, Swoole supports both fully asynchronous and synchronous.

Video Course Recommendation →: "Concurrency Solution for Tens of Millions of Data (Theory and Practice)"

Swoole How to deal with high concurrency

①Introduction to the Reactor model We all know that IO multiplexing asynchronous non-blocking programs use the classic Reactor model. Reactor means reactor, which means that it does not Handle any data sent and received. You can only monitor the event changes of a socket (such as pipe, eventfd, signal) handle.

Reactor only acts as an event generator, and the actual operations on the socket handle, such as connect/accept, send/recv, close, etc., are all completed in callback. You can find out by looking at the pictures below.

How swoole solves high concurrency

②Swoole's architecture Let's take a look at the swoole's architecture. We can also see from the following pictures that the architecture model adopted by swoole: multi-threaded Reactor Multi-process Worker, because reactor is based on epoll, it is not difficult to see each reactor, which can be used to handle countless connection requests.

In this way, swoole can easily achieve high concurrency processing. If you are not clear about high concurrency here, please read the tutorials online. I won’t explain much here.

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