How to Handle Asynchronous Tasks with Node.js and BullMQ

Technical writer

Node.js

28.11.2024

Reading time: 11 min

Handling asynchronous tasks efficiently is crucial in Node.js applications, especially when dealing with time-intensive operations like sending emails, processing images, or performing complex calculations. Without proper management, these tasks can block the event loop, leading to poor performance and a subpar user experience. This is where BullMQ comes into play.

BullMQ is a powerful Node.js package that offers a reliable and scalable queuing system powered by Redis. It enables developers to transfer heavy operations to a queue in the background, keeping the main application responsive. With BullMQ you can successfully manage async queues, plan processes, and easily keep an eye on their progress.

This tutorial will show you how to manage asynchronous tasks with Node.js and BullMQ. The process involves setting up a project folder, performing a time-intensive task without using BullMQ, and enhancing the application by incorporating BullMQ for running tasks in parallel.

Prerequisites

Before you begin, ensure you:

Set up a Linux VPS server.
Set up Node.js on your server.
Set up Redis on your server, as BullMQ depends on Redis for managing queues.

Setting Up the Project Directory

Before you can use Node.js and BullMQ for asynchronous tasks, it is necessary to establish your project directory. Set up and customize your Node.js application using these guidelines.

Create a New Directory

Open your terminal and go to the location of your project. Create a fresh folder and navigate into it:

mkdir bullmq-demo && cd bullmq-demo

Initialize a New Node.js Project

Set up a Node.js project using npm. It generates a package.json file containing the default configurations:

npm init -y

Install Required Dependencies

Set up the required packages for your application:

npm install express bullmq ioredis

Here's what each package does:

express: A fast Node.js web framework commonly used for server creation.
bullmq: An excellent tool for handling queues within Node.js programs.
ioredis: A Redis client for Node.js that BullMQ needs in order to establish a connection with Redis.

Create the Main Application File

Create an index.js file as the primary access point for your application:

touch index.js

Alternatively, you have the option to generate this file by using your code editor.

Set Up a Basic Express Server

To set up a simple Express server, include this code in your index.js file:

const express = require('express');
const app = express();
const port = 3000;

app.use(express.json());

app.listen(port, () => {
  console.log(`Server is running on port ${port}`);
});

This code initiates an Express app on port 3000 which handles requests using JSON middleware.

Verify the Server Setup

Start the server by running:

node index.js

The below message should appear:

Open up your internet browser and go to either http://your_server_ip:3000 or http://localhost:3000. You will receive a "Cannot GET /" message as there are no routes set up, as anticipated.

When ready to proceed, you can terminate the server using Ctrl + C.

Implementing a Time-Intensive Task Without BullMQ

This part describes how to include a route in your Express app that performs a time-consuming task in a synchronous way. This will demonstrate how specific tasks can block the event loop and negatively affect your application's performance.

Define a Time-Intensive Function

Create a function in the index.js file that simulates a computationally intensive task:

// Function to simulate a heavy computation
function heavyComputation() {
  const start = Date.now();
  // Run a loop for 5 seconds
  while (Date.now() - start < 5000) {
    // Perform a CPU-intensive task
    Math.sqrt(Math.random());
  }
}

The function runs a loop for about five seconds, performing math operations to mimic a CPU-heavy task.

Create a Route to Handle the Task

Create a fresh route in your Express application that calls the heavyComputation function:

app.get('/heavy-task', (req, res) => {
  heavyComputation();
  res.send('Heavy computation finished');
});

This route is set up to receive GET requests specifically at the /heavy-task endpoint. After receiving a request, it carries out the specified intensive computation and then provides a response.

Start the Server

To restart your server, execute the following command:

node index.js

Confirm the server is functioning before moving on to the next stage.

Test the Heavy Task Route

Open your internet browser and type in either http://your_server_ip:3000/heavy-task or http://localhost:3000/heavy-task to access the webpage.

The following message should be displayed:

It is important to observe that the response time is approximately five seconds. The delay is a result of the synchronous execution of the intensive computation process.

Observe Blocking Behavior

After the server is up and running, open a new tab on your internet browser and go to http://your_server_ip:3000/. The response to this request may not be immediate. The system delays taking action until the extensive processing of the previous step.

This happens when the time-consuming task is blocking the Node.js event loop, stopping the server from processing additional incoming requests.

When the server performs a task that takes a lot of time in a synchronous manner, it is unable to respond to additional requests. The act of blocking could result in a suboptimal user experience, particularly in apps that need to be highly responsive.

Executing Time-Intensive Tasks Asynchronously with BullMQ

We saw in the last section how synchronous execution of time-consuming operations can severely affect your application's performance by slowing down the event loop.

This section explains how to implement a high-performance asynchronous queue into your application using BullMQ.

Modify index.js to Use BullMQ

Make changes to the index.js file to include BullMQ in your application.

Import BullMQ and ioredis

At the top of your index.js file, you should include the following import statements:

const { Queue, Worker } = require('bullmq');
const Redis = require('ioredis');

Create a Redis Connection

Next, set up a connection with Redis:

const connection = new Redis();

Redis has been programmed to run on port 6379 and the localhost interface by default. To create a connection to a remote Redis server that has a different port, please enter the appropriate host address and port number:

const connection = new Redis({
  host: '127.0.0.1',
  port: 6379,
  maxRetriesPerRequest: null,
});

Initialize a BullMQ Queue

Create a new queue called heavyTaskQueue:

const heavyTaskQueue = new Queue('heavyTaskQueue', { connection });

Add a Route to Enqueue Tasks

Change the heavy-task route to add a job to the queue instead of running the task right away:

app.get('/heavy-task', async (req, res) => {
  await heavyTaskQueue.add('heavyComputation', {});
  res.send('Heavy computation job added to the queue');
});

The application will respond after a lengthy process has completed, handling requests asynchronously, when the /heavy-task route is accessed.

Remove the Worker Code from index.js

The worker must be implemented in a separate file. This is essential to ensure that the worker does not coexist with the Express server process. A worker's use of the heavyComputation function during execution won't interfere with the event loop of the main application.

The index.js file is structured in the following way:

const express = require('express');
const app = express();
const port = 3000;
app.use(express.json());

const { Queue } = require('bullmq');
const Redis = require('ioredis');

const connection = new Redis({
  host: '127.0.0.1',
  port: 6379,
  maxRetriesPerRequest: null,
});

const heavyTaskQueue = new Queue('heavyTaskQueue', { connection });

app.get('/heavy-task', async (req, res) => {
  await heavyTaskQueue.add('heavyComputation', {});
  res.send('Heavy computation job added to the queue');
});

app.listen(port, () => {
  console.log(`Server is running on port ${port}`);
});

Create a Separate Worker File

Generate a fresh file and name it worker.js. The file is intended for executing the worker code in charge of handling tasks obtained from the queue.

Create the worker.js file:

touch worker.js

Add Worker Code to worker.js:

const { Worker } = require('bullmq');
const Redis = require('ioredis');

const connection = new Redis({
  host: '127.0.0.1',
  port: 6379,
  maxRetriesPerRequest: null,
});

// Function to simulate a heavy computation
function heavyComputation() {
  const start = Date.now();
  // Run a loop for 5 seconds
  while (Date.now() - start < 5000) {
    // Perform a CPU-intensive task
    Math.sqrt(Math.random());
  }
}

const worker = new Worker(
  'heavyTaskQueue',
  async job => {
    // Time-intensive task here
    heavyComputation();
    console.log('Heavy computation completed');
  },
  { connection }
);

worker.on('completed', job => {
  console.log(`Job ${job.id} has completed`);
});

worker.on('failed', (job, err) => {
  console.log(`Job ${job.id} has failed with error ${err.message}`);
});

Run the Worker in a Separate Process

You must now execute worker.js as an independent Node.js process.

Start the Worker Process

Open a new terminal window or tab, navigate to your project folder, and run the specified command:

node worker.js

Start the Express Server

Initiate the Express server in your original terminal window:

node index.js

Test the Application with BullMQ

Proceed to conduct testing of the application utilizing BullMQ.

Make a Request to /heavy-task:
Open your internet browser and type in either http://your_server_ip:3000/heavy-task or http://localhost:3000/heavy-task in the URL bar. The following message should be displayed:

Heavy computation job added to the queue.

The rapid response time suggests that there is no blockage in the main thread.

Adding a Dashboard to Monitor BullMQ Queues

Monitoring your application's queues and jobs is essential for ensuring they are functioning properly and for troubleshooting purposes. BullMQ comes with a functionality called Bull Board, which offers a visual interface for overseeing your queues.

This part explains how to incorporate a dashboard into your application.

Install Bull Board

Use npm to install the @bull-board/express package:

npm install @bull-board/express

Set Up Bull Board in Your Application

In order to set up the bull board application, follow these steps:

Import Bull Board Modules

Insert the code provided at the top of your index.js file:

const { createBullBoard } = require('@bull-board/api');
const { BullMQAdapter } = require('@bull-board/api/bullMQAdapter');
const { ExpressAdapter } = require('@bull-board/express');

Create an Express Adapter for the Dashboard

Initialize the Express adapter:

const serverAdapter = new ExpressAdapter();
serverAdapter.setBasePath('/admin/queues');

Set Up Bull Board with Your Queue

Create the Bull Board instance and pass your queue:

 createBullBoard({
  queues: [new BullMQAdapter(heavyTaskQueue)],
  serverAdapter: serverAdapter,
});

Use the Dashboard in Your Express App

Add the following line to mount the dashboard at /admin/queues:

app.use('/admin/queues', serverAdapter.getRouter());

Make sure to include this line following the setup of your queue and worker.

The final index.js file looks like below:

 // Import Express and Initialize App
const express = require('express');
const app = express();
const port = 3000;
app.use(express.json());

// Import BullMQ and Redis
const { Queue } = require('bullmq');
const Redis = require('ioredis');

// Redis Connection
const connection = new Redis({
  host: '127.0.0.1',
  port: 6379,
  maxRetriesPerRequest: null,
});

// Initialize Queue
const heavyTaskQueue = new Queue('heavyTaskQueue', { connection });

// Define Route to Add Job to Queue
app.get('/heavy-task', async (req, res) => {
  await heavyTaskQueue.add('heavyComputation', {});
  res.send('Heavy computation job added to the queue');
});

// Import Bull Board and Set Up Dashboard
const { createBullBoard } = require('@bull-board/api');
const { BullMQAdapter } = require('@bull-board/api/bullMQAdapter');
const { ExpressAdapter } = require('@bull-board/express');

const serverAdapter = new ExpressAdapter();
serverAdapter.setBasePath('/admin/queues');

createBullBoard({
  queues: [new BullMQAdapter(heavyTaskQueue)],
  serverAdapter: serverAdapter,
});

app.use('/admin/queues', serverAdapter.getRouter());

// Start the Server
app.listen(port, () => {
  console.log(`Server is running on port ${port}`);
});

Access the Dashboard

To access the dashboard, follow the steps listed below:

Restart Your Server

node index.js

Navigate to the Dashboard

Open your browser and go to http://your_server_ip:3000/admin/queues.

Explore the Dashboard:

Queue Overview: See the list of queues and their status.
Jobs List: View active, completed, failed, and delayed jobs.
Job Details: Click on a job to see its data, logs, and stack trace if it failed.

You can easily manage your BullMQ queues by integrating Bull Board into your application. It is much easier to keep an eye on progress and identify issues when you can view your queues and tasks on the dashboard in real-time.

Conclusion

You have now learned how to use BullMQ with Node.js to manage asynchronous processes. Your application's responsiveness and efficiency have been enhanced by moving time-consuming operations to a separate queue.

Your Node.js app is now much more capable of handling heavy demands thanks to the usage of queues.

Node.js

28.11.2024

Reading time: 11 min

Similar

Node.js

How to Handle Asynchronous Tasks with Node.js and BullMQ

Prerequisites

Setting Up the Project Directory

Create a New Directory

Initialize a New Node.js Project

Install Required Dependencies

Create the Main Application File

Set Up a Basic Express Server

Verify the Server Setup

Implementing a Time-Intensive Task Without BullMQ

Define a Time-Intensive Function

Create a Route to Handle the Task

Start the Server

Test the Heavy Task Route

Observe Blocking Behavior

Executing Time-Intensive Tasks Asynchronously with BullMQ

Modify index.js to Use BullMQ

Import BullMQ and ioredis

Create a Redis Connection

Initialize a BullMQ Queue

Add a Route to Enqueue Tasks

Remove the Worker Code from index.js

Create a Separate Worker File

Run the Worker in a Separate Process

Start the Worker Process

Start the Express Server

Test the Application with BullMQ

Adding a Dashboard to Monitor BullMQ Queues

Install Bull Board

Set Up Bull Board in Your Application

Import Bull Board Modules

Create an Express Adapter for the Dashboard

Set Up Bull Board with Your Queue

Use the Dashboard in Your Express App

Access the Dashboard

Restart Your Server

Navigate to the Dashboard

Explore the Dashboard:

Conclusion

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