Efficient cache management using RPC services developed by ThinkPHP6 and Swoole

Use ThinkPHP6 and RPC services developed by Swoole to achieve efficient cache management

Introduction:
In modern web applications, cache management is to improve performance and fast response One of the key parts. In order to speed up data access, we usually use cache to store frequently accessed data to avoid complex database query operations every time. This article will introduce how to use ThinkPHP6 and Swoole to develop an efficient RPC (remote procedure call) service to implement cache management functions.

1. Introduction
ThinkPHP is an excellent PHP development framework that provides a wealth of features and components to facilitate developers to quickly build high-performance Web applications. Swoole is a high-performance PHP extension that can convert PHP code to run in an asynchronous and non-blocking manner, greatly improving the concurrency and response speed of the application. In this article, we will use ThinkPHP6 as a web application development framework and combine it with Swoole to implement an efficient cache management system.

2. Architecture design
In order to achieve efficient cache management, we need to design an RPC service to provide an interface for cache operations. The RPC service can run independently, receiving requests from web applications and forwarding them to the cache server for processing. The specific architecture design is as follows:

1. The Web application sends requests by calling the RPC client.
2. The RPC client sends the request to the RPC server.
3. The RPC server receives the request and processes it.
4. The RPC server forwards the request to the cache server for specific caching operations.
5. The cache server returns the results to the RPC server.
6. The RPC server returns the results to the RPC client.
7. The RPC client returns the results to the web application.

3. Code Implementation

1. Installing ThinkPHP6 and Swoole
   Before starting, you need to install ThinkPHP6 and Swoole extensions. You can use the Composer command to install:
   composer require topthink/think-swoole
   composer require swoole/swoole
2. Create RPC server
   First, create a class named RpcServer to implement the functions of the RPC server. The code is as follows:

namespace apppc;

use SwooleHttpServer;
use SwooleProcess;
use SwooleCoroutine;
use SwooleRuntime;
use think acadeDb;
use thinkContainer;

class RpcServer
{

private $serv;
private $processNum;

public function __construct($port, $processNum)
{
    $this->serv = new Server('0.0.0.0', $port);
    $this->processNum = $processNum;
}

public function start()
{
    $this->serv->on('Start', [$this, 'onStart']);
    $this->serv->on('ManagerStart', [$this, 'onManagerStart']);
    $this->serv->on('Request', [$this, 'onRequest']);
    $this->serv->on('WorkerStart', [$this, 'onWorkerStart']);

    $this->serv->set([
        'worker_num' => $this->processNum,
    ]);

    $this->serv->start();
}

public function onStart($serv)
{
    Process::daemon();
    swoole_set_process_name('rpc_server');
}

public function onManagerStart($serv)
{
    swoole_set_process_name('rpc_manager');
}

public function onRequest($request, $response)
{
    Coroutine::create(function () use ($request, $response) {
        $container = Container::getInstance();
        $container->instance('thinkRequest', $request);
        $container->instance('thinkResponse', $response);

        $http = $container->make('thinkApp', [
            $container,
        ]);

        $response = $http->run();
        $response->send();
    });
}

public function onWorkerStart($serv, $workerId)
{
    if ($workerId >= $serv->setting['worker_num']) {
        Runtime::enableCoroutine();
    }
}

}

3. Create Cache Management Controller
   Next, create a CacheController named The controller class is used to implement the specific logic of cache operations. The code is as follows:

namespace apppccontroller;

use think acadeCache;

class CacheController
{

public function get($key)
{
    return Cache::get($key);
}

public function set($key, $value, $expire = null)
{
    return Cache::set($key, $value, $expire);
}

public function delete($key)
{
    return Cache::delete($key);
}

}

4. Configuring routing
   In the route directory of the application, create an rpc.php file and add the following code:

use think acadeRoute;

Route:: group('rpc', function () {

Route::rule('cache/:action', 'rpc.Cache/:action');

});

5. Start the RPC server
   Finally, we need to write an entry file to start the RPC server. In the public directory, create a file named rpc.php and add the following code:

use apppcRpcServer;

require DIR . '/.. /vendor/autoload.php';

$port = 9501; // Running port number
$processNum = 4; // Number of processes

$server = new RpcServer($ port, $processNum);
$server->start();

4. Use RPC client to call cache management service
In web applications, we can use RPC client to call Cache management service, which operates the cache. The following is a sample code for using the RPC client:

$client = new SwooleHttpClient('127.0.0.1', 9501);

// Call the cache/get method to obtain the cache value
$request = array(

'action' => 'get',
'key' => 'user:1',

);
$client->post('/rpc/cache', $request);
$response = json_decode($client->body, true);
if ($response['status'] == 200) {

echo '缓存值为：' . $response['data'];

}

// Call the cache/set method to set the cache value
$request = array(

'action' => 'set',
'key' => 'user:1',
'value' => 'John Doe',
'expire' => 3600,

);
$client->post('/rpc/cache', $request);
$response = json_decode($client->body, true) ;
if ($response['status'] == 200) {

echo '设置缓存成功';

}

// Call the cache/delete method to delete the cached value
$request = array (

'action' => 'delete',
'key' => 'user:1',

);
$client->post('/rpc/cache', $request);
$response = json_decode($client->body, true);
if ($response['status'] == 200) {

echo '删除缓存成功';

}

Summary:
Through the introduction of this article, we have learned how to use ThinkPHP6 and Swoole to develop a Efficient RPC service to implement cache management functions. Through the cooperation of RPC server and RPC client, we can easily call and operate cached data, improve application performance, and provide users with a better experience. Of course, in addition to cache management, we can also combine other functional modules to develop more RPC services to meet the needs of different application scenarios. I hope this article will be helpful to your development work!

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