How to use Hyperf framework for flow control

How to use the Hyperf framework for flow control

Introduction:
In actual development, for high-concurrency systems, reasonable flow control is very important . Flow control can help us protect the system from the risk of overload and improve system stability and performance. In this article, we will introduce how to use the Hyperf framework for flow control and provide specific code examples.

1. What is flow control?
Traffic control refers to the management and restriction of system access traffic to ensure that the system can work normally when processing large traffic requests. Flow control generally includes the following aspects:
1. Concurrency control: Limit the number of requests processed by the system at the same time to prevent system overload.
2. Request frequency control: Limit the request frequency of a single user or IP to prevent malicious attacks or abuse of system resources.
3. Traffic scheduling: Based on business needs, prioritize different requests to ensure the normal progress of key businesses.

2. Flow control in the Hyperf framework
Hyperf is a high-performance framework developed based on Swoole extensions for building microservices and distributed applications. The Hyperf framework provides a rich set of components and middleware for flow control.

1. Concurrency number control
The Hyperf framework provides a coroutine component that can be used for concurrency number control. The following is a sample code for limiting the number of requests processed by the system at the same time:

use HyperfUtilsCoroutine;

$semaphore = new SwooleCoroutineSemaphore(100); // 设置最大并发数为100

function handleRequest($request)
{
    global $semaphore;
    
    $semaphore->acquire(); // 获取一个信号量
    
    // 处理请求
    
    $semaphore->release(); // 释放信号量
}

// 在控制器或路由中使用
Coroutine::create('handleRequest', $request);

2. Request frequency control
In the Hyperf framework, we can use middleware to implement request frequency control. The following is a sample code that limits the same user to only send 5 requests in 1 second:

use HyperfHttpServerContractRequestInterface;

class RateLimitMiddleware implements MiddlewareInterface
{
    public function process(RequestInterface $request, RequestHandlerInterface $handler): ResponseInterface
    {
        // 获取用户标识，可以根据需要自行实现
        $userId = $request->getAttribute('user_id');
        
        // 判断用户在1秒内的请求数量
        if ($this->getRequestCount($userId) >= 5) {
            return response('Too many requests', 429);
        }
        
        // 记录请求时间
        $this->recordRequestTime($userId, time());
        
        return $handler->handle($request);
    }
    
    private function getRequestCount($userId)
    {
        // 根据用户标识查询1秒内的请求数量并返回
        // 可以根据具体业务需求使用缓存或数据库来存储计数器
    }
    
    private function recordRequestTime($userId, $time)
    {
        // 记录用户的请求时间
        // 可以根据具体业务需求使用缓存或数据库来存储请求时间
    }
}

// 在路由或控制器中使用
Route::middleware([RateLimitMiddleware::class])->get('/api/user', 'UserController@show');

3. Traffic scheduling
The middleware mechanism in the Hyperf framework can be used for traffic scheduling. The following is a sample code for priority scheduling of critical business requests:

use HyperfHttpServerContractRequestInterface;

class PriorityMiddleware implements MiddlewareInterface
{
    public function process(RequestInterface $request, RequestHandlerInterface $handler): ResponseInterface
    {
        // 判断请求是否为关键业务请求
        if ($this->isImportantRequest($request)) {
            // 执行关键业务逻辑
            
            return $response;
        }
        
        return $handler->handle($request);
    }
    
    private function isImportantRequest($request)
    {
        // 根据具体的业务判断请求是否为关键业务请求
        // 可以根据需要自行定义判断逻辑
    }
}

// 在路由或控制器中使用
Route::middleware([PriorityMiddleware::class])->get('/api/important', 'Controller@important');

Conclusion:
This article introduces how to use the Hyperf framework for flow control and provides specific code examples. Through reasonable flow control, we can effectively protect the system from the risk of overload and improve the stability and performance of the system. In actual development, appropriate flow control technologies and tools can be selected and used according to specific needs to achieve the best system results.

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