Swoole e-commerce case practice: creating a high-concurrency flash sale system

With the continuous development of the e-commerce market, more and more companies are beginning to pay attention to the development of high-concurrency flash sale systems to improve user experience and increase sales. This article will explain how to build a high-concurrency flash sale system through Swoole e-commerce case practice.

1. What is a high-concurrency flash kill system?

The high-concurrency flash sale system refers to a system that can run smoothly even when a large number of users access, submit orders, pay and other operations at the same time in a short period of time. In e-commerce, it generally means that during an event, thousands of users may participate at the same time, and the system needs to be able to cope with such high concurrent access.

2. What is Swoole?

Swoole is a high-performance network communication framework based on PHP language, which can completely replace PHP-FPM and provide higher performance and richer network communication protocol support. Swoole mainly uses asynchronous non-blocking IO to achieve high concurrent access.

3. Case implementation steps

1. Environment setup

Before using Swoole, you need to ensure that the Swoole extension has been installed. You can run "php --ri swoole" through the command line to confirm whether it has been installed. If it is not installed, you can install it through PECL or source code.

2. Create databases and tables

In this case we will use the MySQL database to create a database named "seckill", which contains a product table named "goods" and a An orders table named "orders".

3. Write the backend

Create a backend management page for adding product information. In the background management, product inventory information needs to be written to Redis. In this way, product inventory can be pre-loaded into Redis before the flash sale starts, improving the system's concurrent processing capabilities.

4. Write the front page

Display the products participating in the flash sale on the front page and allow users to submit orders. When submitting an order, you need to request inventory information from Redis. If the inventory is sufficient, the order is submitted directly and the inventory is deducted.

5. Write flash sale logic

Before the flash sale starts, you first need to load the product information into Redis. When the flash sale starts, the order information submitted by the user is written into the queue. According to the order information in the queue, request inventory information from Redis and make deductions. If the inventory is insufficient, the result of flash sale failure will be returned directly.

In Swoole, you can use coroutines to implement asynchronous processing of queues and Redis.

6. Optimization processing

In order to improve the performance of the entire system, a variety of optimization strategies can be adopted, such as preloading product information, Redis connection reuse, batch processing of order queues, etc.

4. Conclusion

Through the introduction of this article, we can see that using Swoole can easily implement a high-concurrency flash sale system. Of course, in actual development, optimization and improvements need to be made according to your own specific scenarios. I hope that readers can better master Swoole's development skills through the practical cases in this article and create a high-performance, high-concurrency flash sale system.

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