0Pricing
Node.js Backend Development Bootcamp · 课时

生产者、消费者与 AMQP 模型

连接消息代理,并使用 AMQP 协议通过交换器、队列和绑定传递消息。

生产者、消费者与 AMQP 模型 是 CoddyKit 上的免费 Node.js Backend Development Bootcamp 课时。 这是第 1 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Node.js Backend Development Bootcamp 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Node.js Backend Development Bootcamp 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

Why Message Queues?

In a Node.js backend, calling another service directly couples the two together: if the receiver is slow or down, the caller blocks or fails. A message queue decouples them. The sender drops a message into a broker and moves on; the receiver picks it up whenever it is ready.

  • Asynchronous — the producer never waits for the consumer.
  • Resilient — messages survive while a consumer is offline.
  • Scalable — add more consumers to drain a backlog faster.

RabbitMQ is a popular broker that speaks AMQP 0-9-1, the protocol we use throughout this lesson.

The AMQP Model

AMQP separates the act of publishing from the act of storing. A producer never writes to a queue directly. Instead it publishes to an exchange, and the exchange routes the message to one or more queues based on bindings.

  • Producer — publishes messages.
  • Exchange — receives messages and decides where they go.
  • Binding — a rule linking an exchange to a queue (often with a routing key).
  • Queue — buffers messages until a consumer reads them.
  • Consumer — subscribes to a queue and processes messages.

This indirection is what makes routing flexible: change bindings, not producer code.

Connecting from Node.js

The amqplib library is the standard AMQP client for Node.js. You open a TCP connection to the broker, then create a channel over it. A channel is a lightweight virtual connection where almost all AMQP operations happen, so you do not open a new TCP socket per task.

Connection strings use the amqp:// scheme: amqp://user:pass@host:5672/vhost. Always await the connection and handle errors.

const amqp = require('amqplib');

async function connect() {
  const url = process.env.AMQP_URL || 'amqp://guest:guest@localhost:5672';
  const connection = await amqp.connect(url);
  const channel = await connection.createChannel();
  console.log('Connected and channel opened');
  return { connection, channel };
}

connect().catch((err) => {
  console.error('AMQP connection failed:', err.message);
  process.exit(1);
});

Declaring a Queue

Before sending, both sides usually declare the queue. Declaration is idempotent: it creates the queue if missing, otherwise checks the settings match. The most important option is durable.

  • durable: true — the queue definition survives a broker restart.
  • durable: false — the queue is lost on restart.

Durability of the queue is separate from durability of the messages inside it — we will cover persistent messages soon.

async function setupQueue(channel) {
  const queue = 'tasks';
  await channel.assertQueue(queue, { durable: true });
  console.log(`Queue "${queue}" is ready`);
  return queue;
}

The Default Exchange

RabbitMQ ships with a nameless default exchange (the empty string ''). It has a special rule: it automatically binds every queue using the queue's own name as the routing key. So channel.sendToQueue('tasks', ...) is really publishing to the default exchange with routing key 'tasks'.

This is the simplest way to get started, but it hides the exchange concept. Real applications declare their own exchanges for explicit routing, which we do later.

A Producer

A producer publishes a message and then can close the connection. AMQP message bodies are raw bytes, so we serialize to JSON and wrap it in a Buffer. The persistent: true option marks the message so it can be written to disk in a durable queue.

Note the small delay before closing: sendToQueue buffers locally, so we wait for the channel to flush before exiting.

const amqp = require('amqplib');

async function publish() {
  const conn = await amqp.connect('amqp://localhost');
  const channel = await conn.createChannel();
  const queue = 'tasks';
  await channel.assertQueue(queue, { durable: true });

  const job = { id: 42, type: 'resize-image', file: 'cat.png' };
  channel.sendToQueue(queue, Buffer.from(JSON.stringify(job)), {
    persistent: true,
  });
  console.log('Sent job', job.id);

  await channel.close();
  await conn.close();
}

publish().catch(console.error);

A Consumer

A consumer subscribes to a queue with channel.consume. The broker pushes messages to the callback as they arrive; the consumer typically stays running. The message arrives as msg.content, a Buffer you decode back into your object.

By default consume auto-acknowledges. In the next scene we turn that off so we control exactly when a message is considered done.

const amqp = require('amqplib');

async function consume() {
  const conn = await amqp.connect('amqp://localhost');
  const channel = await conn.createChannel();
  const queue = 'tasks';
  await channel.assertQueue(queue, { durable: true });

  console.log('Waiting for messages...');
  await channel.consume(queue, (msg) => {
    if (!msg) return;
    const job = JSON.parse(msg.content.toString());
    console.log('Processing job', job.id, job.type);
  });
}

consume().catch(console.error);

Acknowledgements

An acknowledgement (ack) tells the broker a message was successfully handled and can be deleted. Set { noAck: false } and call channel.ack(msg) only after your work finishes.

  • If the consumer crashes before acking, RabbitMQ requeues the message for another consumer.
  • channel.nack(msg, false, true) rejects and requeues; nack(msg, false, false) discards (or dead-letters).

Manual acks are the foundation of at-least-once delivery — never ack before the work is done.

await channel.consume(
  queue,
  async (msg) => {
    if (!msg) return;
    try {
      const job = JSON.parse(msg.content.toString());
      await processJob(job); // your real work
      channel.ack(msg); // success
    } catch (err) {
      channel.nack(msg, false, false); // discard / dead-letter
    }
  },
  { noAck: false }
);

Fair Dispatch with Prefetch

By default RabbitMQ round-robins messages to consumers without considering how busy each one is. A consumer stuck on a slow job can pile up a backlog while others sit idle.

channel.prefetch(1) fixes this: the broker will not send a new message to a consumer until it has acked the previous one. This gives fair dispatch — work flows to whichever consumer is actually free.

async function worker() {
  const conn = await amqp.connect('amqp://localhost');
  const channel = await conn.createChannel();
  await channel.assertQueue('tasks', { durable: true });

  // Only one unacked message at a time per consumer
  await channel.prefetch(1);

  await channel.consume('tasks', async (msg) => {
    await handle(JSON.parse(msg.content.toString()));
    channel.ack(msg);
  }, { noAck: false });
}

Custom Exchanges and Bindings

For real routing you declare your own exchange and bind queues to it. Exchange types decide the routing logic:

  • direct — exact routing-key match.
  • fanout — broadcast to every bound queue, ignoring the key.
  • topic — wildcard pattern match (e.g. order.*).
  • headers — match on message headers.

Below, an orders direct exchange routes order.created messages to a queue. The producer publishes with channel.publish(exchange, routingKey, content).

async function setupRouting(channel) {
  const exchange = 'orders';
  await channel.assertExchange(exchange, 'direct', { durable: true });

  const queue = 'order_processing';
  await channel.assertQueue(queue, { durable: true });
  await channel.bindQueue(queue, exchange, 'order.created');

  const event = { orderId: 1001, total: 79.9 };
  channel.publish(
    exchange,
    'order.created',
    Buffer.from(JSON.stringify(event)),
    { persistent: true }
  );
}

Putting It Together: A Runnable Demo

Here is a self-contained simulation of the AMQP flow with no broker required — it models an exchange routing to a queue and a consumer draining it. It illustrates the mental model: producer to exchange, exchange to queue via binding, queue to consumer with ack.

Run it to see how the routing key selects the destination queue and how each message is acknowledged exactly once.

// In-memory model of the AMQP routing flow (no broker needed)
class Broker {
  constructor() { this.queues = {}; this.bindings = {}; }
  assertQueue(q) { this.queues[q] = this.queues[q] || []; }
  bind(exchange, queue, key) {
    (this.bindings[exchange] ||= []).push({ queue, key });
  }
  publish(exchange, routingKey, body) {
    for (const b of this.bindings[exchange] || []) {
      if (b.key === routingKey) this.queues[b.queue].push(body);
    }
  }
  consume(queue, handler) {
    let msg;
    while ((msg = this.queues[queue].shift())) handler(msg, () => {});
  }
}

const broker = new Broker();
broker.assertQueue('order_processing');
broker.bind('orders', 'order_processing', 'order.created');

broker.publish('orders', 'order.created', { orderId: 1001 });
broker.publish('orders', 'order.deleted', { orderId: 1002 }); // no binding

broker.consume('order_processing', (msg, ack) => {
  console.log('Consumed:', msg);
  ack();
});

Quick Check

You run several worker consumers on one durable queue. Some jobs take much longer than others, and you notice fast workers sit idle while a few workers are swamped. Which single change best balances the load?

Recap

You connected to a broker and moved messages through the AMQP model.

  • Connection vs channel — one TCP connection, many lightweight channels.
  • Producer to exchange to queue — producers never write queues directly; exchanges route via bindings and routing keys.
  • Exchange types — direct, fanout, topic, headers select the routing logic.
  • Durability and persistence — durable queues plus persistent messages survive restarts.
  • Acks — manual ack/nack after the work gives at-least-once delivery; unacked messages are requeued.
  • Prefetch — prefetch(1) enables fair dispatch across competing consumers.

Next you can explore dead-letter exchanges, message TTLs, and publisher confirms for reliable delivery.

常见问题解答

「生产者、消费者与 AMQP 模型」课时是免费的吗?

是的 — 「生产者、消费者与 AMQP 模型」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Node.js Backend Development Bootcamp 课程的其余内容,请升级到 CoddyKit PRO。 Node.js Backend Development Bootcamp 课程共包含 4 节课。

「生产者、消费者与 AMQP 模型」这节课中我会学到什么?

连接消息代理,并使用 AMQP 协议通过交换器、队列和绑定传递消息。 你通过在浏览器中直接运行的动手代码来练习 Node.js Backend Development Bootcamp,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Node.js Backend Development Bootcamp 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Node.js Backend Development Bootcamp 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 1 节课,共 4 节。

「生产者、消费者与 AMQP 模型」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 Node.js Backend Development Bootcamp 课中编写并运行代码吗?

能。每节 Node.js Backend Development Bootcamp 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. 生产者、消费者与 AMQP 模型
  2. 交换器类型:直连、主题、扇出与标头
  3. 确认、死信队列与重试
  4. 工作队列、预取与竞争消费者
← 返回 Node.js Backend Development Bootcamp