Home Backend Development PHP Tutorial Key points of distributed lock design in PHP instant killing system

Key points of distributed lock design in PHP instant killing system

Sep 19, 2023 pm 01:00 PM
Distributed lock Design Points php flash kill system

Key points of distributed lock design in PHP instant killing system

Key points of distributed lock design in PHP flash sale system

With the development of the Internet, rush buying activities on e-commerce platforms are becoming more and more common. In high-concurrency scenarios, the implementation of flash sale activities faces many challenges. One of them is how to ensure that each user can only purchase once before the product is sold out. To solve this problem, distributed locks have become a common solution. In PHP development, we can implement distributed locks through the following design points.
1. Select appropriate storage media and technology
Before choosing a distributed lock implementation solution, we need to select appropriate storage media and technology based on the actual situation. Generally speaking, the implementation of distributed locks can be based on database, cache, shared storage and other methods. Common choices include MySQL, Redis, Memcached, etc. Based on actual scenarios and needs, it is very important to choose appropriate storage media and technology.

2. Use optimistic locking
In a distributed environment, when multiple users request to purchase the same product at the same time, concurrency conflicts will occur. To solve this problem, optimistic locking can be used. The basic idea of ​​optimistic locking is to read the data version number before updating the data. If the version numbers are inconsistent, it means that the data has been modified by other users, and the request can be returned as failed. By using optimistic locking, the problem of concurrency conflicts can be effectively solved.

The following is a code example of using optimistic locking to implement a distributed flash sale system:

<?php

function buyGoods($goodsId, $userId)
{
    $key = "goods:{$goodsId}"; // 商品的唯一标识符,作为锁的key
    $timeout = 10; // 超时时间,避免死锁
    
    // 加锁
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379); // 连接Redis
    $lock = $redis->set($key, $userId, ['NX', 'EX' => $timeout]);
    
    // 检查是否成功加锁
    if (!$lock) {
        echo "Failed to acquire lock";
        return;
    }
    
    // 进行秒杀操作
    $goods = $redis->hgetall($key);
    if (empty($goods) || $goods['stock'] <= 0) {
        echo "Goods sold out";
    } else {
        $goods['stock'] -= 1;
        $redis->hmset($key, $goods);
        echo "Buy goods successfully";
    }
    
    // 释放锁
    $redis->del($key);
}

$goodsId = 1;
$userId = "user1";
buyGoods($goodsId, $userId);
Copy after login

In the above example, we used Redis as the storage medium and set the NX parameters to ensure that there is only one user Able to successfully lock. Before the flash sale operation, first obtain the lock based on the unique identifier of the product. If the acquisition is successful, the flash sale will be performed, otherwise a failure will be returned. After completing the flash kill operation, release the lock.

Summary:
Distributed locks are a very important part of the flash sale system. Choosing appropriate storage media and technology and using optimistic locking to resolve concurrency conflicts can effectively ensure that each user can only purchase once. Through reasonable design and implementation, it can better cope with rush buying activities in high concurrency scenarios.

The above is the detailed content of Key points of distributed lock design in PHP instant killing system. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Distributed lock: 5 cases, from entry to burial Distributed lock: 5 cases, from entry to burial Aug 24, 2023 pm 02:48 PM

What I want to share with you today is distributed locks. This article uses five cases, diagrams, source code analysis, etc. to analyze. Common locks such as synchronized and Lock are all implemented based on a single JVM. What should we do in a distributed scenario? At this time, distributed locks appeared.

Using ZooKeeper for distributed lock processing in Java API development Using ZooKeeper for distributed lock processing in Java API development Jun 17, 2023 pm 10:36 PM

As modern applications continue to evolve and the need for high availability and concurrency grows, distributed system architectures are becoming more common. In a distributed system, multiple processes or nodes run at the same time and complete tasks together, and synchronization between processes becomes particularly important. Since many nodes in a distributed environment can access shared resources at the same time, how to deal with concurrency and synchronization issues has become an important task in a distributed system. In this regard, ZooKeeper has become a very popular solution. ZooKee

Comparison of Etcd in Redis implementation of distributed locks Comparison of Etcd in Redis implementation of distributed locks Jun 20, 2023 pm 05:51 PM

With the gradual popularization of distributed systems, distributed locks have become an important means to ensure system stability and data consistency. As a high-performance distributed memory database, Redis has naturally become one of the important implementations of distributed locks. However, in recent years, Etcd has received more and more attention as an emerging distributed consistency solution. This article will discuss the similarities and differences between Redis' implementation of distributed locks and Etcd from aspects such as implementation principles and comparative analysis. The principle of Redis implementing distributed locks The implementation of Redis distributed locks

The king solution among distributed locks - Redisson The king solution among distributed locks - Redisson Aug 24, 2023 pm 03:31 PM

If you have been using Redis before, you will get twice the result with half the effort by using Redisson. Redisson provides the simplest and most convenient way to use Redis. The purpose of Redisson is to promote users' separation of concerns (Separation of Concern) from Redis, so that users can focus more on processing business logic.

Using Redis to implement distributed locks in PHP Using Redis to implement distributed locks in PHP May 15, 2023 pm 03:51 PM

With the rapid development of the Internet and the sharp increase in website visits, the importance of distributed systems has gradually become prominent. In distributed systems, issues of concurrency synchronization and data consistency are inevitably involved. Distributed locks, as a means of solving concurrency synchronization problems, have gradually been widely used in distributed systems. In PHP, Redis can be used to implement distributed locks, which this article will introduce. What is a distributed lock? In a distributed system, when multiple machines process the same task together, in order to avoid the occurrence of multiple machines

How to use distributed locks to control concurrent access in MySQL? How to use distributed locks to control concurrent access in MySQL? Jul 30, 2023 pm 10:04 PM

How to use distributed locks to control concurrent access in MySQL? In database systems, high concurrent access is a common problem, and distributed locks are one of the common solutions. This article will introduce how to use distributed locks in MySQL to control concurrent access and provide corresponding code examples. 1. Principle Distributed locks can be used to protect shared resources to ensure that only one thread can access the resource at the same time. In MySQL, distributed locks can be implemented in the following way: Create a file named lock_tabl

Detailed explanation of distributed lock implementation in Redis Detailed explanation of distributed lock implementation in Redis Jun 21, 2023 am 11:02 AM

With the rapid development of mobile Internet and the explosive growth of data volume, distributed systems are becoming more and more popular. In distributed systems, the problem of concurrent operations has become more and more prominent. When multiple threads request shared resources at the same time, these resources need to be locked to ensure data consistency. Distributed locks are one of the effective solutions for implementing concurrent operations in distributed systems. This article will introduce in detail how to use Redis to implement distributed locks. Redis Basics Redis is a memory-based key-value storage system that is distributed

Consul comparison of Redis implementation of distributed locks Consul comparison of Redis implementation of distributed locks Jun 20, 2023 pm 02:38 PM

Comparison of Consul implementing distributed locks in Redis In distributed systems, locks are an essential synchronization mechanism. As a commonly used NoSQL database, the distributed lock function provided by Redis has received widespread attention and application. However, Redis has certain problems when implementing distributed locks, such as lock reacquisition and timeout processing, so some new tools have been developed to solve these problems, including Consul. This article will implement distributed locks in Redis and implement Consul

See all articles