How to implement distributed message queues and broadcasts in PHP microservices-PHP Tutorial-php.cn

How to implement distributed message queues and broadcasts in PHP microservices

Foreword:
In modern distributed system development, message queues and broadcasts are Very common component used to achieve decoupling and communication between various systems. In the PHP microservice architecture, in order to implement distributed message processing and broadcast functions, we can use some mature open source tools and frameworks to simplify development. This article will introduce how to use RabbitMQ and Swoole to implement distributed message queues and broadcasts.

1. Basic concepts and usage of RabbitMQ
RabbitMQ is a reliable, open source, cross-platform message middleware. It follows the AMQP (Advanced Message Queuing Protocol) standard and provides complete message production and consumption capabilities. The following are some basic concepts of RabbitMQ:

Producer: The program that sends messages.
Queue (Queue): A container that saves messages.
Consumer: A program that receives and processes messages.
Consumer Acknowledgments: After the consumer receives the message, it sends a confirmation message to the queue to inform the queue that the message has been processed.
Exchange: Receives messages sent by producers and routes the messages to the queue according to certain rules.
Binding: Binding the relationship between the exchanger and the queue.

The following is a sample PHP code that demonstrates how to send and receive messages in RabbitMQ:

// 创建连接
$connection = new AMQPStreamConnection('localhost', 5672, 'guest', 'guest');
// 创建通道
$channel = $connection->channel();

// 声明队列
$channel->queue_declare('hello', false, false, false, false);

// 发送消息
$msg = new AMQPMessage('Hello World!');
$channel->basic_publish($msg, '', 'hello');

echo "Sent 'Hello World!'";

// 接收消息
$callback = function ($msg) {
  echo "Received: ", $msg->body, "
";
};

$channel->basic_consume('hello', '', false, true, false, false, $callback);

while ($channel->is_consuming()) {
  $channel->wait();
}

// 关闭通道和连接
$channel->close();
$connection->close();

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2. The basic concept and usage of Swoole
Swoole is a A high-performance network communication framework based on PHP, providing powerful asynchronous IO capabilities and event-driven programming mode. In the PHP microservice architecture, we can use Swoole to implement distributed message broadcast functions.

The following are some basic concepts of Swoole:

Server: A program that receives and processes network requests.
Client: The program that sends network requests.
Event: The interaction between the server and the client.
Asynchronous: A method that does not block the execution of the main process.
Synchronous: A method of blocking the execution of the main process until the operation is completed.

The following is a sample PHP code that demonstrates how to create a TCP server and broadcast messages in Swoole:

// 创建服务器
$server = new swoole_server("127.0.0.1", 9501);

// 注册事件回调函数
$server->on('connect', function ($server, $fd) {
  echo "Client {$fd}: connect.
";
});

$server->on('receive', function ($server, $fd, $from_id, $data) {
  echo "Received: $data 
";

  // 广播消息给所有客户端
  $server->sendtoAll($data);
});

$server->on('close', function ($server, $fd) {
  echo "Client {$fd}: close.
";
});

// 启动服务器
$server->start();

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3. Implement distributed message queue in PHP microservices
In order to implement distributed message queues in PHP microservices, we can use RabbitMQ and Swoole together. First, we need to start a RabbitMQ consumer and a Swoole TCP server.

RabbitMQ consumer code example:

// 创建连接
$connection = new AMQPStreamConnection('localhost', 5672, 'guest', 'guest');
// 创建通道
$channel = $connection->channel();

// 声明队列
$channel->queue_declare('task_queue', false, false, false, false);

// 设置每次只接收一条消息
$channel->basic_qos(null, 1, null);

// 定义消息处理的回调函数
$callback = function ($msg) {
  echo "Received: ", $msg->body, "
";
  // 模拟任务处理
  sleep(3);
  echo "Task finished.
";
  // 显示确认消息
  $msg->delivery_info['channel']->basic_ack($msg->delivery_info['delivery_tag']);
};

// 监听队列，接收消息
$channel->basic_consume('task_queue', '', false, false, false, false, $callback);

while ($channel->is_consuming()) {
  $channel->wait();
}

// 关闭通道和连接
$channel->close();
$connection->close();

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Swoole TCP server code example:

// 创建服务器
$server = new swoole_server("127.0.0.1", 9501);

$server->set([
  'worker_num' => 4,         // 设置工作进程数
  'task_worker_num' => 4,    // 设置任务进程数
]);

// 注册事件回调函数
$server->on('connect', function ($server, $fd) {
  echo "Client {$fd}: connect.
";
});

$server->on('receive', function ($server, $fd, $from_id, $data) {
  echo "Received: $data 
";
  
  // 将接收到的消息发送给任务进程处理
  $server->task($data);
});

$server->on('task', function ($server, $task_id, $from_id, $data) {
  // 模拟任务处理
  sleep(3);
  
  // 处理结果发送给请求进程
  $server->finish($data);
});

$server->on('finish', function ($server, $task_id, $data) {
  // 将处理结果发送给客户端
  $server->send($data);
});

$server->on('close', function ($server, $fd) {
  echo "Client {$fd}: close.
";
});

// 启动服务器
$server->start();

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When the RabbitMQ consumer receives the message, it means that a task is created and started deal with. Then, the Swoole TCP server sends the received message to the task process for processing, and sends the processing result to the client through the callback function.

4. Implement distributed message broadcasting in PHP microservices
In order to implement distributed message broadcasting in PHP microservices, we can combine Swoole's broadcast function with distributed cache (such as Redis). . First, we need to create a Swoole TCP server and a Redis subscriber.

Swoole TCP server code example:

// 创建服务器
$server = new swoole_server("127.0.0.1", 9501);

// 注册事件回调函数
$server->on('connect', function ($server, $fd) {
  echo "Client {$fd}: connect.
";
});

$server->on('receive', function ($server, $fd, $from_id, $data) {
  echo "Received: $data 
";

  // 将接收到的消息广播给所有客户端
  $server->sendtoAll($data);
});

$server->on('close', function ($server, $fd) {
  echo "Client {$fd}: close.
";
});

// 启动服务器
$server->start();

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Redis subscriber code example:

// 创建Redis连接
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

// 订阅消息
$redis->subscribe('channel', function ($redis, $channel, $message) {
  echo "Received from Redis: $message 
";
  
  // 发送消息给Swoole TCP服务器
  $client = new swoole_client(SWOOLE_SOCK_TCP);
  if (!$client->connect('127.0.0.1', 9501, -1)) {
    echo "Failed to connect to server.";
    exit;
  }
  $client->send($message);
  $client->close();
});

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When Redis receives the message, it is sent to the Swoole TCP server through the callback function. The server then broadcasts the received message to all clients.

Summary:
Through the above example code, we can learn how to use RabbitMQ and Swoole to implement distributed message queue and broadcast functions in PHP microservices. These technologies and tools can help us build high-performance and scalable distributed systems and improve system decoupling and reliability.

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