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rate-limiter

English | 中文

中文版

这是一个简单的 PHP 限流器类库,提供了令牌桶和滑动窗口两种限流算法,以及文件存储和 Redis 存储两种存储方式。

功能特性

  • 支持令牌桶和滑动窗口两种限流算法,并支持扩展
  • 支持文件存储和 Redis 存储两种存储方式,并支持扩展
  • 限流规则可以针对全局或特定的资源 key
  • 提供了 PSR-4 标准的自动加载机制
  • 包含单元测试,保证代码质量

使用方法

  1. 通过 Composer 安装:
    composer require skyjerry/rate-limiter
  2. 在代码中使用:
    $storageConfig = [
        'filePath' => sys_get_temp_dir() . '/test_rate_limiter.data',
    ];
    $rateLimiter = \RateLimiter\RateLimiterFactory::createRateLimiter(
         'tokenBucket',
         'file',
         $storageConfig,
         10,
         1
    );
    
    if (!$rateLimiter->acquire('user_1', 10)) {
        echo "限流了!";
    }

注意事项

  • 这是一个 Demo 级别的项目,仅供学习参考,不建议用于生产环境。
  • 在高并发场景下,建议使用 Redis 等内存型存储,以提高性能。
  • 限流规则的设置需要根据实际业务需求进行调整,不同的场景可能需要不同的限流策略。

贡献指南

欢迎提交 Issue 和 Pull Request,帮助改进这个项目。在提交 PR 之前,请先运行单元测试,确保所有测试都能通过。

English Version

This is a simple rate limiter library for PHP, providing two rate limiting algorithms: token bucket and sliding window, and two storage methods: file storage and Redis storage.

Features

  • Supports two rate limiting algorithms: token bucket and sliding window
  • Supports two storage methods: file storage and Redis storage
  • Rate limiting rules can be applied globally or to specific resource keys
  • Provides PSR-4 standard autoloading mechanism
  • Includes unit tests to ensure code quality

Usage

  1. Install via Composer:
    composer require skyjerry/rate-limiter
  2. Use in your code:
    $storageConfig = [
        'filePath' => sys_get_temp_dir() . '/test_rate_limiter.data',
    ];
    $rateLimiter = \RateLimiter\RateLimiterFactory::createRateLimiter(
         'tokenBucket',
         'file',
         $storageConfig,
         10,
         1
    );
    
    if (!$rateLimiter->acquire('user_1', 10)) {
        echo "Rate limited!";
    }

Cautions

  • This is a demo-level project, for learning reference only, not recommended for direct use in production environments.
  • For high concurrency scenarios, it is recommended to use memory-based storage like Redis to improve performance.
  • The setting of rate limiting rules needs to be adjusted according to actual business requirements, different scenarios may require different rate limiting strategies.

Contribution Guide

Issues and Pull Requests are welcome to help improve this project. Before submitting a PR, please run the unit tests to ensure all tests pass.

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