Advanced Workerman development: realizing distributed multi-process communication

Workerman Development Advanced: Implementing Distributed Multi-Process Communication

With the development of Internet applications, the needs of Web back-end development are becoming more and more diverse and complex. The traditional single-process single-thread development model can no longer meet the needs of large traffic and high concurrency. In order to improve the performance and scalability of the system, distributed multi-process communication has become a key technology.

In this article, we will introduce how to use the Workerman framework to implement distributed multi-process communication. Workerman is a simple and easy-to-use PHP multi-process network programming framework that supports high-performance TCP/UDP server and client programming. By leveraging the power of Workerman, we can easily build a high-performance, scalable distributed application.

First, let us understand the basic usage of the Workerman framework. The following is a simple TCP server sample code based on Workerman:

<?php
require_once __DIR__ . '/vendor/autoload.php';

use WorkermanWorker;

$worker = new Worker('tcp://0.0.0.0:8888');
$worker->count = 4;

$worker->onWorkerStart = function($worker) {
    echo "Worker {$worker->id} started
";
};

$worker->onConnect = function($connection) {
    echo "New connection from {$connection->getRemoteIp()}:{$connection->getRemotePort()}
";
};

$worker->onMessage = function($connection, $data) {
    echo "Received message: {$data}
";
    $connection->send("Hello, {$data}!
");
};

Worker::runAll();

In the above sample code, we created a Worker object based on the TCP protocol, which listens to the local 8888 port and set up 4 processes to Handle connections. Each process will execute the onWorkerStart callback function when it starts, which is used to output the Worker number. When a new connection is established, the onConnect callback function is triggered and connection-related information is output on the console. When a message from the client is received, the onMessage callback function is triggered, the received message is output on the console, and then Hello and message content are sent back to the client.

The above examples are only the basic usage of Workerman. Next, we will introduce how to use Workerman to achieve distributed multi-process communication. Suppose we have an application that needs to handle a large number of image uploads. In order to improve performance, we want to distribute the image upload task to multiple processes for processing. The following is a sample code that implements distributed multi-process communication:

<?php
require_once __DIR__ . '/vendor/autoload.php';

use WorkermanWorker;
use WorkermanLibTimer;

$taskWorkerCount = 4;
$uploadWorkerCount = 2;

$taskWorker = new Worker();
$taskWorker->count = $taskWorkerCount;

$uploadWorker = new Worker();
$uploadWorker->count = $uploadWorkerCount;

$taskWorker->onWorkerStart = function($worker) {
    $uploadWorker = new Worker();
    $uploadWorker->count = $GLOBALS['uploadWorkerCount'];
    $uploadWorker->onMessage = function($connection, $data) {
        echo "TaskWorker {$worker->id} received upload message: {$data}
";
        $connection->send("TaskWorker {$worker->id} received upload message: {$data}
");
    };

    $uploadWorker->listen('tcp://127.0.0.1:5678');
    echo "TaskWorker {$worker->id} started
";
};

$uploadWorker->onWorkerStart = function($worker) {
    Timer::add(1, function() use($worker) {
        $taskWorkerId = rand(0, $GLOBALS['taskWorkerCount'] - 1);
        $taskWorker = $worker->getWorkerById($taskWorkerId);
        $taskWorker->send("Upload message");
    });
    echo "UploadWorker {$worker->id} started
";
};

Worker::runAll();

In the above sample code, we created a TaskWorker and an UploadWorker. TaskWorker is responsible for receiving messages from UploadWorker and outputting the received messages on the console. UploadWorker is responsible for sending a message to TaskWorker every 1 second. For convenience, each TaskWorker also creates an UploadWorker when it starts and listens to the local port 5678 to receive messages from the UploadWorker.

Through the above sample code, we can see how to use Workerman to implement simple distributed multi-process communication. By properly allocating tasks and taking advantage of multiple processes, we can achieve high-performance and scalable applications.

In summary, the Workerman framework is a very suitable tool for distributed multi-process communication. By flexibly using Workerman's functions, we can easily build a high-performance, scalable distributed application. I hope this article will be helpful to everyone's work and study.

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