How to use the Hyperf framework for performance monitoring

How to use the Hyperf framework for performance monitoring

Introduction:
Hyperf is a high-performance PHP microservice framework based on the Swoole coroutine. It provides Many powerful features and tools, including performance monitoring. In this article, we will focus on how to use the Hyperf framework for performance monitoring and provide some concrete code examples.

1. Install the Hyperf framework
First, we need to introduce the Hyperf framework into the project. It can be installed in the following ways:

composer create-project hyperf/hyperf

After the installation is complete, we can enter the project directory and start the Hyperf framework.

2. Turn on the performance monitoring component
The Hyperf framework has a built-in performance monitoring component, which can be turned on through the configuration file. In the config/autoload/server.php file of the project, we can find the settings configuration item and set enable_static_handler and document_root to The directory we want to monitor:

'settings' => [
    'enable_static_handler' => true,
    'document_root' => BASE_PATH . '/public',
],

In addition, we also need to enable the performance monitoring component. In the config/autoload/hyperf.php file, we can find the annotations configuration item and set annotations.scan.cacheable to false：

'annotations' => [
    'scan' => [
        'paths' => [
            BASE_PATH . '/app',
        ],
        'cacheable' => false,
    ],
],

After the above configuration is completed, we need to restart the Hyperf framework to make the configuration take effect.

3. Write performance monitoring code
We can write performance monitoring code in the controller of the Hyperf framework. The following is a sample code that demonstrates how to use the Hyperf framework for performance monitoring:

<?php

declare(strict_types=1);

namespace AppController;

use HyperfDbConnectionDb;
use HyperfUtilsCoroutine;
use SwooleCoroutineChannel;

class PerformanceController extends AbstractController
{
    public function index()
    {
        $channel = new Channel();
        
        $time1 = microtime(true);
        
        // 执行一些耗时操作
        $this->exampleTask();
        
        $time2 = microtime(true);
        
        $responseTime = $time2 - $time1;
        
        // 将响应时间存入数据库
        Coroutine::create(function () use ($responseTime, $channel) {
            Db::table('performances')->insert(['response_time' => $responseTime]);
            $channel->push(true);
        });
        
        // 等待协程执行完毕
        $channel->pop();
        
        return $this->response->success();
    }
    
    private function exampleTask()
    {
        // 模拟一个耗时操作
        usleep(500000);
    }
}

In the above code, we first create a Channel object for communication between coroutines communication. We then recorded the current timestamp $time1, performed some time-consuming operations, recorded another timestamp $time2, and calculated the response time. Next, we create a coroutine using the Coroutine::create() method and save the response time to the database. Finally, we wait for the coroutine to complete and then return a successful response.

4. View performance monitoring data
In the code, we store the response time in the database. We can use the database operations provided by the Hyperf framework to obtain performance monitoring data through a simple query method, for example:

<?php

declare(strict_types=1);

namespace AppController;

use HyperfDbConnectionDb;

class PerformanceController extends AbstractController
{
    public function query()
    {
        $list = Db::table('performances')->get()->toArray();
        
        return $this->response->success($list);
    }
}

In the above code, we pass Db::table('performances') ->get() method to obtain all performance monitoring data and return it.

Conclusion:
In this article, we learned how to use the Hyperf framework for performance monitoring and provided some concrete code examples. By using Hyperf's performance monitoring component and database operations, we can easily monitor and analyze application performance and perform performance optimization as needed. Hope this article is helpful to everyone.

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