Skip to main content

Communicate Through RabbitMQ Using NodeJS and Fastify

If we have two or more services that need to talk to each other but it is allowed to be asynchronous, we can implement a queue system in our system using RabbitMQ. RabbitMQ server will maintain all queues and connections to all services connected to it.

This post will utilize Fastify as a NodeJS framework to build our program. This framework is similar to Express but implements some unique features like a plugin concept and an improved request-respond handler.

First, we need to create two plugins, one is for sending a message, another one is for consuming the sent message. At first, we will make it using a normal queue. There is one mechanism for how a queue works, it is like a queue in the real world. When there are five persons in a queue and three staff to handle the queue, one person is served only by one staff, there is no need for other staff to handle any person that has been served, and there is no need for a person to be handled repeatedly by other staffs. For example, if there are two services that listen to a queue and a message is passed to the queue, RabbitMQ will manage which connected service will handle the message.


Create a plugin to send a message

The plugin will run the following processes.

  1. Create a channel to the RabbitMQ server
  2. Assert a queue
  3. Publish a message to the queue

For instance, the queue will be named all_queue.

import { FastifyInstance, FastifyPluginOptions } from 'fastify';
import amqp, { Channel } from 'amqplib';
import fastifyPlugin from 'fastify-plugin';

const rabbitUrl = 'amqp://guest:guest@localhost:5672'; // change to your own server URL
const queueName = 'all_queue'

async function getRabbitChannel(): Promise<Channel> {
  try {
    const conn = await amqp.connect(rabbitUrl);
    return conn.createChannel();
  } catch (error: any) {
    console.error(error.message || error)
    throw error; 
  }
}

async function rabbitPlugin(fastify: FastifyInstance, opts: FastifyPluginOptions, done: any) {
  const channel = await getRabbitChannel();
  
  // insert the queue only if it doesn't exist
  await channel.assertQueue(queueName, {});

  // create a function to publish a message
  function publishMessage(messageObject){
    const msg = JSON.stringify(messageObject);
    channel.publish('', queueName, Buffer.from(msg));
  }

  // make the function available in fastify scope
  fastify.decorate('publishMessage', publishMessage);

  done();
}

export default fastifyPlugin(rabbitPlugin);

In the code above, we declare a function to publish a message named publishMessage and decorate the fastify instance so that the function can be called in any part of our application. We also utilize fastify-plugin so that our plugin can be available in any plugin regardless of its location.


Create a plugin to consume the sent messages

The plugin will run the following processes.

  1. Create a channel to the RabbitMQ server
  2. Assert a queue
  3. Listen and consume any messages on the queue
import amqp, { Channel, ConsumeMessage } from 'amqplib';
import { FastifyInstance, FastifyPluginOptions } from 'fastify';
import fastifyPlugin from 'fastify-plugin';

const rabbitUrl = 'amqp://guest:guest@localhost:5672'; // change to your own server URL
const queueName = 'all_queue'

async function getRabbitChannel(): Promise<Channel> {
  try {
    const conn = await amqp.connect(rabbitUrl);
    return conn.createChannel();
  } catch (error: any) {
    console.error(error.message || error)
    throw error; 
  }
}

async function consumeRabbitMessage(msg: ConsumeMessage | null, fastify: FastifyInstance, channel: Channel) {
  if (!msg) {
    return;
  }

  try {
    const data = JSON.parse(msg.content.toString());
    
    // do something else
    
  } catch (error) {
    fastify.log.error(error);
  }
}

async function rabbitPlugin(fastify: FastifyInstance, opts: FastifyPluginOptions, done: any) {
  const channel = await getRabbitChannel();

  await channel.assertQueue(queueName, {}).then(() => {
    // listen to the queue
    return channel.consume(queueName, async (msg) => {
      await consumeRabbitMessage(msg, fastify, channel);
    });
  });

  done();
}

export default fastifyPlugin(rabbitPlugin);

Notice that we pass fastify and channel instances to the message handler function (consumeRabbitMessage). It is because the handler function is outside the plugin declaration scope and we want to allow the function to use those instances.


Registering the plugin

Finally, we can register each plugin to our services, one is for our publisher service, and another is for our consumer service.

import fastify from 'fastify';
import rabbitPlugin from 'your/plugin/location'; // publisher or consumer

const server = fastify({ logger: true });
server.register(rabbitPlugin);

// some codes


Comments

Popular posts from this blog

Configuring Swap Memory on Ubuntu Using Ansible

If we maintain a Linux machine with a low memory capacity while we are required to run an application with high memory consumption, enabling swap memory is an option. Ansible can be utilized as a helper tool to automate the creation of swap memory. A swap file can be allocated in the available storage of the machine. The swap file then can be assigned as a swap memory. Firstly, we should prepare the inventory file. The following snippet is an example, you must provide your own configuration. [server] 192.168.1.2 [server:vars] ansible_user=root ansible_ssh_private_key_file=~/.ssh/id_rsa Secondly, we need to prepare the task file that contains not only the tasks but also some variables and connection information. For instance, we set /swapfile  as the name of our swap file. We also set the swap memory size to 2GB and the swappiness level to 60. - hosts: server become: true vars: swap_vars: size: 2G swappiness: 60 For simplicity, we only check the...

Deliver SaaS According Twelve-Factor App

If you haven't heard of  the twelve-factor app , it gives us a recommendation or a methodology for developing SaaS or web apps structured into twelve items. The recommendation has some connections with microservice architecture and cloud-native environments which become more popular today. We can learn the details on its website . In this post, we will do a quick review of the twelve points. One Codebase Multiple Deployment We should maintain only one codebase for our application even though the application may be deployed into multiple environments like development, staging, and production. Having multiple codebases will lead to any kinds of complicated issues. Explicitly State Dependencies All the dependencies for running our application should be stated in the project itself. Many programming languages have a kind of file that maintains a list of the dependencies like package.json in Node.js. We should also be aware of the dependencies related to the pla...

Rangkaian Sensor Infrared dengan Photo Dioda

Keunggulan photodioda dibandingkan LDR adalah photodioda lebih tidak rentan terhadap noise karena hanya menerima sinar infrared, sedangkan LDR menerima seluruh cahaya yang ada termasuk infrared. Rangkaian yang akan kita gunakan adalah seperti gambar di bawah ini. Pada saat intensitas Infrared yang diterima Photodiode besar maka tahanan Photodiode menjadi kecil, sedangkan jika intensitas Infrared yang diterima Photodiode kecil maka tahanan yang dimiliki photodiode besar. Jika  tahanan photodiode kecil  maka tegangan  V- akan kecil . Misal tahanan photodiode mengecil menjadi 10kOhm. Maka dengan teorema pembagi tegangan: V- = Rrx/(Rrx + R2) x Vcc V- = 10 / (10+10) x Vcc V- = (1/2) x 5 Volt V- = 2.5 Volt Sedangkan jika  tahanan photodiode besar  maka tegangan  V- akan besar  (mendekati nilai Vcc). Misal tahanan photodiode menjadi 150kOhm. Maka dengan teorema pembagi tegangan: V- = Rrx/(Rrx + R2) x Vcc V- = 150 / (1...

API Gateway Using KrakenD

The increasing demands of users for high-quality web services create the need to integrate various technologies into our application. This will cause the code base to grow larger, making maintenance more difficult over time. A microservices approach offers a solution, where the application is built by combining multiple smaller services, each with a distinct function. For example, one service handles authentication, another manages business functions, another maintains file uploads, and so on. These services communicate and integrate through a common channel. On the client side, users don't need to understand how the application is built or how it functions internally. They simply send a request to a single endpoint, and processes like authentication, caching, or database querying happen seamlessly. This is where an API gateway is effective. It handles user requests and directs them to the appropriate handler. There are several tools available for building an API gateway, su...

Deploying a Web Server on UpCloud using Terraform Modules

In my earlier post , I shared an example of deploying UpCloud infrastructure using Terraform from scratch. In this post, I want to share how to deploy the infrastructure using available Terraform modules to speed up the set-up process, especially for common use cases like preparing a web server. For instance, our need is to deploy a website with some conditions as follows. The website can be accessed through HTTPS. If the request is HTTP, it will be redirected to HTTPS. There are 2 domains, web1.yourdomain.com and web2.yourdomain.com . But, users should be redirected to "web2" if they are visiting "web1". There are 4 main modules that we need to set up the environment. Private network. It allows the load balancer to connect with the server and pass the traffic. Server. It is used to host the website. Load balancer. It includes backend and frontend configuration. Dynamic certificate. It is requ...

Headless CMS for Building API Endpoints

Recently, someone introduced me to a tool called Directus, which is used for building backend systems and defining data structures. This also reminded me of a product I reviewed about two years ago, which was also built using Directus. After doing some online research, I decided to test another headless CMS solution called Strapi. When we think of CMS platforms, names like WordPress, Joomla, or Moodle might come to mind. But what does 'headless' mean in this context? A headless CMS is a type of CMS that focuses solely on the backend system, without providing the frontend interface. It can generate the API endpoints, letting developers build the frontend or client-side application separately. However, this doesn't mean headless CMS platforms lack a user interface entirely. Most, like Directus and Strapi, include a UI tool (an administrator dashboard) for designing and managing the backend system and resources. After spending some time testing and reviewing Stra...