Swoole and Workerman's message queue and real-time data visualization collaborative processing capabilities

Swoole and Workerman are currently popular high-performance network communication frameworks based on the PHP language. They have strong collaborative processing capabilities in real-time data processing and message queues. This article will introduce how to use Swoole and Workerman to achieve real-time data visualization, and give specific code examples.

1. Introduction to Swoole and Workerman
Swoole and Workerman are two PHP language extensions that can implement multi-process and event-driven network communication in the PHP environment. The bottom layer of Swoole is written in C/C language, which has powerful and stable performance; Workerman is written in pure PHP language and is easy to learn and use. Both provide rich network communication functions and high concurrency processing capabilities, and are suitable for building high-performance, real-time network applications.

2. Use of message queue
Message queue is a common way to achieve asynchronous communication and decoupling. In applications based on Swoole and Workerman, message queues can be used to distribute and process asynchronous tasks. The following is a sample code:

// Swoole示例代码
$serv = new SwooleServer('127.0.0.1', 9501);

$serv->on('Start', function($serv) {
    echo "Server started
";
});

$serv->on('Receive', function($serv, $fd, $from_id, $data) {
    // 将消息放入消息队列
    $message = [
        'fd' => $fd,
        'data' => $data
    ];
    $queue->push(serialize($message));
});

$serv->start();

// Workerman示例代码
$worker = new WorkermanWorker('text://0.0.0.0:9501');
$worker->onMessage = function($connection, $data) {
    // 从消息队列获取消息
    $message = unserialize($queue->pop());
    // 处理消息
    // ...
    // 将处理结果返回给客户端
    $connection->send($result);
};

Worker::runAll();

3. Real-time data visualization
Real-time data visualization is a technology that displays data on the front-end interface in real time. With the high performance and concurrency capabilities of Swoole and Workerman, large amounts of real-time data can be processed and transmitted to the front end through WebSocket technology. The following is a sample code:

// Swoole示例代码
$serv = new SwooleWebsocketServer('127.0.0.1', 9502);

$serv->on('Open', function($serv, $request) {
    echo "WebSocket opened
";
});

$serv->on('Message', function($serv, $frame) {
    // 处理收到的消息
    // ...
    // 将处理后的结果推送给前端
    $serv->push($frame->fd, $result);
});

$serv->start();

// Workerman示例代码
$worker = new WorkermanWebsocketServer('websocket://0.0.0.0:9502');
$worker->onMessage = function($connection, $data) {
    // 处理收到的消息
    // ...
    // 将处理后的结果推送给前端
    $connection->send($result);
};

Worker::runAll();

4. Comprehensive application

By combining message queues and real-time data visualization, a complete real-time data processing and visualization system can be built. The following is a sample code:

// Swoole示例代码
$serv = new SwooleServer('127.0.0.1', 9501);

$serv->on('Start', function($serv) {
    echo "Server started
";
});

$serv->on('Receive', function($serv, $fd, $from_id, $data) {
    // 将消息放入消息队列
    $message = [
        'fd' => $fd,
        'data' => $data
    ];
    $queue->push(serialize($message));
});

$serv->start();

// Workerman示例代码
$worker = new WorkermanWorker('text://0.0.0.0:9501');

$worker->onMessage = function($connection, $data) {
    // 从消息队列获取消息
    $message = unserialize($queue->pop());
    // 处理消息
    // ...
    // 将处理结果推送给前端
    $connection->send($result);
};

Worker::runAll();

Through the above sample code, we can implement a high-performance network application with message queue and real-time data visualization functions. The collaborative processing capabilities of Swoole and Workerman can effectively improve the system's concurrent processing capabilities and real-time data processing capabilities. If necessary, corresponding code modifications and optimizations can be made according to the actual situation.

Summary:
Through Swoole and Workerman, we can easily achieve collaborative processing capabilities of message queues and real-time data visualization. This is very helpful for building high-performance, real-time network applications. I hope this article will inspire readers and be able to use their advantages in practical applications to improve system performance and efficiency.

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