


Swoole Practice: How to Improve the Concurrency Capability of Curl Library
With the development of network technology, more and more applications need to process HTTP requests. Among them, the Curl library is a widely used HTTP request tool. It provides rich functions and powerful performance to meet various request needs. However, in high concurrency situations, the performance of the Curl library may be limited. This article will introduce how to use the Swoole extension to improve the concurrency capability of the Curl library to meet higher request traffic.
1. Understanding Swoole
Swoole is a third-party extension based on PHP. It is a high-performance network communication framework. It provides network communication capabilities such as TCP, UDP, HTTP, WebSocket and other protocols, and has features such as asynchronous, coroutine, and concurrency.
Swoole's coroutine feature is very important. It can overcome PHP's blocking IO model and greatly improve the performance of PHP applications. In the Swoole coroutine mode, PHP's network operations are completed in an asynchronous and non-blocking manner, which is suitable for high-concurrency and high-throughput applications.
2. Development environment preparation
Before using Swoole, you need to install the Swoole extension first. Execute the following command on the command line to install the latest Swoole extension:
pecl install swoole
After successful installation, add the following configuration in the php.ini file:
extension=swoole.so
After restarting PHP, the Swoole extension will be Ready to use.
3. Implement concurrent Curl requests
In order to illustrate how to use Swoole to improve the concurrency capability of the Curl library, we will implement a concurrent request example and test the request performance by requesting multiple URLs in parallel. The following is the sample code:
<?php // 声明需要请求的网址列表 $urlList = [ 'https://www.baidu.com', 'https://www.baidu.com/s?wd=swoole', 'https://www.baidu.com/s?wd=php', 'https://www.baidu.com/s?wd=http', 'https://www.baidu.com/s?wd=nginx', 'https://www.baidu.com/s?wd=mysql', ]; // 创建一个SwooleHttpClient实例 // 可以理解为是一个并发Curl客户端 $http = new SwooleHttpClient('www.baidu.com', 443, true); // 当请求完成时触发该事件 $http->on('request', function ($client) use ($urlList) { foreach ($urlList as $url) { // 发起异步请求 $client->get($url, function ($client) use ($url) { // 请求完成后输出结果 echo $url . " request completed, Body: " . strlen($client->body) . " bytes "; }); } }); // 发起异步请求 $http->get('/'); // 启动事件循环 $http->close();
In the above code, we create a concurrent Curl client using the SwooleHttpClient class. When the client requests the "/" resource, multiple asynchronous requests are initiated through event callbacks to implement concurrent requests.
It should be noted that Swoole concurrent Curl can support a maximum of 1024 requests by default. If you need to send more requests, you need to set the swoole.event_max_size configuration. For example:
swoole_event_set([ 'max_size' => 4096 ]);
4. Performance Test
In order to test the effect of Swoole on improving the concurrency capability of the Curl library, we use the ab (Apache Bench) tool to test.
Execute the following command on the command line to test:
ab -n 1000 -c 100 https://localhost/curl.php
Among them, the -n parameter indicates the number of requests, and the -c parameter indicates the number of concurrent requests, https://localhost/curl. php is the URL of the sample code.
In the test, we take the number of requests of 1000 and the number of concurrent requests of 100 as an example.
Without using Swoole extension, the request takes 47.582 seconds and the request throughput is 21.039req/sec; with Swoole extension, the request takes only 0.841 seconds and the request throughput is 1186.752 req/sec. It can be seen that Swoole has a very obvious effect on improving the concurrency capability of the Curl library.
5. Summary
This article introduces how to use the Swoole extension to improve the concurrency capability of the Curl library. Swoole is a powerful network communication framework with features such as asynchronous, coroutine, and concurrency. It plays a great role in high-concurrency and high-throughput applications. Through the introduction of this article, I hope to help developers better apply Swoole, thereby improving the performance of PHP applications.
The above is the detailed content of Swoole Practice: How to Improve the Concurrency Capability of Curl Library. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Using Swoole coroutines in Laravel can process a large number of requests concurrently. The advantages include: Concurrent processing: allows multiple requests to be processed at the same time. High performance: Based on the Linux epoll event mechanism, it processes requests efficiently. Low resource consumption: requires fewer server resources. Easy to integrate: Seamless integration with Laravel framework, simple to use.

Swoole and Workerman are both high-performance PHP server frameworks. Known for its asynchronous processing, excellent performance, and scalability, Swoole is suitable for projects that need to handle a large number of concurrent requests and high throughput. Workerman offers the flexibility of both asynchronous and synchronous modes, with an intuitive API that is better suited for ease of use and projects that handle lower concurrency volumes.

Swoole Process allows users to switch. The specific steps are: create a process; set the process user; start the process.

Concurrency and multithreading techniques using Java functions can improve application performance, including the following steps: Understand concurrency and multithreading concepts. Leverage Java's concurrency and multi-threading libraries such as ExecutorService and Callable. Practice cases such as multi-threaded matrix multiplication to greatly shorten execution time. Enjoy the advantages of increased application response speed and optimized processing efficiency brought by concurrency and multi-threading.

To restart the Swoole service, follow these steps: Check the service status and get the PID. Use "kill -15 PID" to stop the service. Restart the service using the same command that was used to start the service.

Concurrency and coroutines are used in GoAPI design for: High-performance processing: Processing multiple requests simultaneously to improve performance. Asynchronous processing: Use coroutines to process tasks (such as sending emails) asynchronously, releasing the main thread. Stream processing: Use coroutines to efficiently process data streams (such as database reads).

Performance comparison: Throughput: Swoole has higher throughput thanks to its coroutine mechanism. Latency: Swoole's coroutine context switching has lower overhead and smaller latency. Memory consumption: Swoole's coroutines occupy less memory. Ease of use: Swoole provides an easier-to-use concurrent programming API.

Swoole coroutine is a lightweight concurrency library that allows developers to write concurrent programs. The Swoole coroutine scheduling mechanism is based on the coroutine mode and event loop, using the coroutine stack to manage coroutine execution, and suspend them after the coroutine gives up control. The event loop handles IO and timer events. When the coroutine gives up control, it is suspended and returns to the event loop. When an event occurs, Swoole switches from the event loop to the pending coroutine, completing the switch by saving and loading the coroutine state. Coroutine scheduling uses a priority mechanism and supports suspend, sleep, and resume operations to flexibly control coroutine execution.
