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Using Swoole development functions to achieve high-concurrency network communication
Abstract: Swoole is a high-performance network communication framework based on PHP language, with coroutines, asynchronous IO, Features such as multi-processing are suitable for developing highly concurrent network applications. This article will introduce how to use Swoole to develop high-concurrency network communication functions and give some code examples.
Installation and configuration of Swoole
The installation of Swoole is very simple. You can install the Swoole extension by executing the following command in the terminal:
pecl install swoole
After the installation is completed, in php. Add the following configuration to the ini file:
extension=swoole.so
Basic usage of Swoole
Next, we will use a simple example to illustrate the basic usage of Swoole. First, we need to create a Swoole server, the code is as follows:
// 创建服务器对象 $server = new SwooleHTTPServer("127.0.0.1", 9501); // 设置回调函数 $server->on('request', function ($request, $response) { $response->header("Content-Type", "text/plain"); $response->end("Hello World "); }); // 启动服务器 $server->start();
The above code creates a server based on the HTTP protocol and sets a callback function. In the callback function, we can handle the client's request and return the response.
Concurrency processing
Swoole's asynchronous IO and coroutine features make concurrent processing simple. We can use coroutines to handle multiple requests at the same time. The code is as follows:
use SwooleCoroutine; Coroutine::create(function () { $cli = new SwooleCoroutineHttpClient('www.baidu.com', 80); $cli->set(['timeout' => 10]); $cli->get('/'); echo $cli->body; }); Coroutine::create(function () { $cli = new SwooleCoroutineHttpClient('www.google.com', 80); $cli->set(['timeout' => 10]); $cli->get('/'); echo $cli->body; });
The above code creates two coroutines, sends HTTP requests to Baidu and Google respectively, and outputs the return results. Highly concurrent network communication can be easily achieved using coroutines.
Multi-process processing
In addition to coroutines, Swoole also provides multi-process processing functions. We can handle multiple requests at the same time through multiple processes. The code is as follows:
$server = new SwooleServer("127.0.0.1", 9502); $server->set([ 'worker_num' => 4, ]); $server->on('receive', function ($server, $fd, $from_id, $data) { $pid = pcntl_fork(); if ($pid > 0) { // 主进程 $server->send($fd, 'Hello from main process'); } elseif ($pid == 0) { // 子进程 $server->send($fd, 'Hello from sub process'); exit(); } else { echo "fork failed"; } }); $server->start();
The above code creates a server with 4 worker processes, and each process can handle one request at the same time. Concurrent processing capabilities can be effectively improved through multiple processes.
Reference materials:
[Swoole official document](https://www.swoole.com/)
[PHP process management-multi-process simulation concurrency](https:// www.swoole.com/)
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