Integration and scalability of message queues and distributed systems by Swoole and Workerman

Swoole and Workerman are both PHP network communication engines. They provide powerful integration and expansion capabilities of message queues and distributed systems. This article will demonstrate their application in this regard through specific code examples.

First, let’s take a look at the characteristics of Swoole and Workerman. Swoole is a PHP asynchronous network communication engine for production environments. It supports TCP/UDP/Unix Socket/HTTP/WebSocket and other protocols, and provides functions such as timers, asynchronous tasks, and sub-process management. Workerman is a high-performance PHP socket framework that adopts a multi-process model and can handle massive concurrent connections.

In terms of message queue, Swoole provides the onMessage callback function of swoole_server, which can store received messages into the message queue. We can use Redis as a message queue and integrate with Swoole through the swoole_redis extension.

<?php
$serv = new swoole_server("127.0.0.1", 9501, SWOOLE_BASE, SWOOLE_SOCK_TCP);

$serv->set([
    'worker_num' => 4,    // 设置工作进程数
]);

$serv->on('WorkerStart', function ($serv, $worker_id) {
    // 连接Redis
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);

    // 消息队列名称
    $queue_name = 'message_queue';
    
    // 消费消息队列
    swoole_timer_tick(1000, function () use ($redis, $queue_name) {
        while ($message = $redis->lPop($queue_name)) {
            // 处理消息
            echo "Received message: " . $message . "
";
        }
    });
});

$serv->on('Receive', function ($serv, $fd, $from_id, $data) {
    // 将接收到的消息存入Redis消息队列
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    $redis->rPush('message_queue', $data);
});

$serv->start();
?>

In the above code, we created a Swoole server and set the number of worker processes to 4. In the WorkerStart callback function, we connected Redis and polled the message queue through a timer, using the message processing function as the callback function. When a message arrives, the onReceive callback function is called to store the received message in the Redis message queue.

Next, let’s take a look at the integration and scalability of Workerman’s message queue and distributed systems. Workerman provides event-driven development through its EventManager component.

<?php
require_once __DIR__ . '/Workerman/Autoloader.php';

use WorkermanWorker;
use WorkermanRedisQueueClient;
use WorkermanEventLoopSelect;

$worker = new Worker('tcp://127.0.0.1:9501');
$worker->count = 4;

$worker->onWorkerStart = function ($worker) {
    $redis = new PredisClient();
    $queue = new Client($redis);
    
    $queue->onMessage = function ($message) {
        // 处理消息
        echo "Received message: " . $message . "
";
    };
    
    $queue->run();
};

$worker->onMessage = function ($connection, $data) {
    global $worker;
    $worker->queue->sendMessage($data);
};

Worker::$eventLoopClass = Select::class;
Worker::runAll();

In the above code, we created a Workerman server and set up 4 worker processes. In the onWorkerStart callback function, we connected to Redis and created a Redis queue client. Process messages by setting the onMessage callback function of the queue client. When a message is received, the onMessage callback function is called to send the message to the Redis message queue.

Through the above code examples, we can see that both Swoole and Workerman can be integrated with message queues (such as Redis) to implement message delivery in distributed systems. In actual development, we can choose appropriate tools according to specific needs. Both Swoole and Workerman provide good expansion capabilities and can be customized as needed.

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