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

Swoole and Workerman are two popular PHP frameworks that are widely used for high-performance network programming and real-time application development. They all have powerful message queues and real-time monitoring functions. Through collaborative processing, they can achieve more efficient task execution and system management.

Message queue is a mechanism that decouples message senders and receivers and is used to process a large number of messages or tasks in asynchronous scenarios. Both Swoole and Workerman provide message queue implementations, which can be used to resolve dependencies between multiple tasks, put time-consuming operations into the queue for asynchronous processing, and improve the system's response speed and concurrency capabilities.

Swoole's message queue uses a method based on shared memory and disk files, with excellent reliability and performance. The following is a sample code that demonstrates how to use Swoole's message queue:

<?php
$queue = new SwooleMsgQueue(0x7000001);
$pid = pcntl_fork();
if ($pid == -1) {
    die("fork failed
");
} elseif ($pid > 0) {
    // 父进程，发送消息到队列
    $message = "Hello, Swoole!";
    $queue->push($message);
    echo "Message sent: $message
";
    pcntl_wait($status);
} else {
    // 子进程，接收消息并处理
    $message = $queue->pop();
    echo "Message received: $message
";
    exit(0);
}

Workerman's message queue uses Redis as the underlying storage, and implements the sending and receiving of messages through Redis's publish and subscribe mechanism. The following is a sample code that demonstrates how to use Workerman's message queue:

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

use WorkermanWorker;
use WorkermanLibTimer;

$worker = new Worker();
$worker->count = 1;

$worker->onWorkerStart = function ($worker) {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    
    // 订阅名为“task”的频道
    $redis->subscribe(['task'], function ($redis, $channel, $message) {
        echo "Message received: $message
";
        // 在这里处理消息
    });
};

Worker::runAll();

Real-time monitoring means that the status and performance indicators of the system can be viewed in real time, helping developers understand the operation of the system. Both Swoole and Workerman provide powerful real-time monitoring functions that can help developers quickly locate and solve problems. The following is a sample code that demonstrates how to use Swoole's real-time monitoring:

<?php
$http = new SwooleHttpServer("0.0.0.0", 9501);

$http->on('request', function ($request, $response) use ($http) {
    $stats = $http->stats();
    $response->end(json_encode($stats));
});

$http->start();

In the above code, an HTTP server is created, and when a request is received, the status and statistics of the current server are returned. You can view real-time monitoring information by visiting http://localhost:9501.

Workerman's real-time monitoring requires the use of third-party monitoring tools, such as grafana influxdb, which can store performance data in influxdb and display it through grafana. The following is a simplified sample code:

<?php
$worker = new WorkermanWorker('text://0.0.0.0:1234');
$worker->count = 1;

$worker->task = function ($connection, $data) {
    // 处理任务
    $connection->send("Task completed");
};

$worker->onWorkerStart = function ($worker) {
    // 创建一个influxdb的连接
    $client = new InfluxDBClient('localhost', '8086');
    $database = $client->selectDB('workerman_stats');
    
    // 创建一个定时器，定时将性能数据写入influxdb
    Timer::add(1, function () use ($worker, $database) {
        $data = [
            [
                'measurement' => 'connections',
                'tags' => [
                    'worker' => $worker->id,
                ],
                'fields' => [
                    'value' => count($worker->connections),
                ],
            ],
        ];
        
        $database->writePoints($data);
    });
};

Worker::runAll();

In the above code, a custom Worker class inherited from Worker is created to write performance data into influxdb through a timer. Developers can configure data sources and dashboards in grafana to monitor the operation of the system in real time.

To sum up, both Swoole and Workerman have powerful message queue and real-time monitoring functions, which can help developers build high-performance, real-time application systems. Developers can choose the appropriate framework according to their own needs and develop practical applications based on the sample code.

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