With the continuous development of Internet technology, competition in the e-commerce field has become increasingly fierce, and users have increasingly higher requirements for shopping experience. For e-commerce platforms, the ordering process, as one of the key business processes, directly affects the user's shopping experience. Therefore, how to improve the response speed, reliability and maintainability of the order process has become an urgent problem for e-commerce companies.
In recent years, Swoole, as a high-performance network communication framework for the PHP language, has gradually become a popular technology choice for PHP developers. Swoole can handle requests asynchronously and concurrently, greatly improving the performance of PHP programs. Therefore, in this article, we will introduce how to perform high-performance reconstruction based on Swoole in the order process of an e-commerce company.
1. Problems with the original order process
The order process of e-commerce companies is generally divided into three main modules: order page, order processing, and order results. . We can briefly describe the following process:
However, when we implement practical applications, we often find the following Several questions:
Since in traditional PHP applications, each request requires restarting the PHP interpreter, performing initialization and other operations, so Will result in slower response times. Especially in the case of high concurrency, for users, the waiting time is too long, which can easily affect the shopping experience.
Since traditional PHP applications are synchronously blocked by default, problems such as thread hangs may occur under high concurrency conditions. This results in poor concurrent processing capabilities of the system.
Traditional PHP applications are generally developed based on the MVC architecture, but in the actual development process, tedious manual calls are often required. And the code coupling is high, resulting in poor maintainability.
2. Swoole Reconstruction Practice
Based on the above issues, we decided to use Swoole technology to reconstruct the order process to improve the performance, stability and maintainability of the system. The specific steps are as follows:
Swoole provides coroutine support, allowing us to execute multiple coroutines concurrently in the same thread , thus avoiding the system overhead of thread switching and greatly improving the concurrency capability of the application.
We use coroutines in the order processing module, packaging the order information corresponding to each request into a coroutine object, and using the channel provided by Swoole for communication between coroutines. In this way, multiple order requests can be processed concurrently in one thread, effectively improving the system's concurrent processing capabilities.
Swoole provides an asynchronous network communication method, which can avoid PHP blocking waiting for IO operations and further improve the request response speed.
We use the asynchronous IO method provided by Swoole in the order processing module and replace the original mysqli with swoole_mysql to achieve asynchronous read and write operations on the database. This can not only reduce blocking waiting time, but also improve the concurrent processing capability of the system.
Swoole provides WebSocket support, which can realize two-way communication between the client and the server. We can design the order page as a WebSocket application and communicate with the back-end service through WebSocket to reduce the overhead of HTTP requests.
In the WebSocket application, we use Swoole's asynchronous WebSocket server to package each order request into a WebSocket message and communicate with the back-end service through the WebSocket protocol. In the back-end service, we use the onMessage event callback function provided by Swoole to perform specific processing on each order request, and return the processing results to the WebSocket client.
Swoole provides Task Worker support, which can assign some long-term tasks to Task Worker for processing. This avoids blocking the main process and improves the concurrent processing capability of the main process.
In the order processing module, we hand over some long-time order-related tasks, such as sending text messages or emails, to Task Worker. This can avoid the main process being blocked and greatly improve the concurrent processing capability of the system.
In short, the high-performance order process reconstruction practice based on Swoole has effectively improved the system's concurrent processing capabilities, response speed and maintainability. We believe that through such practice, we can provide more reliable and efficient order process solutions for more e-commerce companies.
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