XUtils

bullmq

Persistent job and message queue.





The fastest, most reliable, Redis-based distributed queue for Node.
Carefully written for rock solid stability and atomicity.

Read the documentation

Follow @manast for *important* Bull/BullMQ/BullMQ-Pro news and updates!

๐Ÿ›  Tutorials

You can find tutorials and news in this blog: https://blog.taskforce.sh/

News ๐Ÿš€

๐ŸŒ Language agnostic BullMQ

Do you need to work with BullMQ on platforms other than Node.js? If so, check out the BullMQ Proxy

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Discover the latest in in-memory and real-time data technologies at Rediscover Scale 2024. Ideal for engineers, architects, and technical leaders looking to push technological boundaries. Connect with experts and advance your skills at The Foundry SF, San Francisco.

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Official FrontEnd

Taskforce.sh, Inc

Supercharge your queues with a professional front end:

  • Get a complete overview of all your queues.
  • Inspect jobs, search, retry, or promote delayed jobs.
  • Metrics and statistics.
  • and many more features.

Sign up at Taskforce.sh

๐Ÿš€ Sponsors ๐Ÿš€

Dragonfly Dragonfly is a new Redisโ„ข drop-in replacement that is fully compatible with BullMQ and brings some important advantages over Redisโ„ข such as massive better performance by utilizing all CPU cores available and faster and more memory efficient data structures. Read more here on how to use it with BullMQ.
Memetria for Redis If you need high quality production Redis instances for your BullMQ project, please consider subscribing to Memetria for Redis, leaders in Redis hosting that works perfectly with BullMQ. Use the promo code "BULLMQ" when signing up to help us sponsor the development of BullMQ!

Used by

Some notable organizations using BullMQ:

Microsoft Vendure Datawrapper Nest
Curri Novu NoCodeDB Infisical

The gist

Install:

$ yarn add bullmq

Add jobs to the queue:

import { Queue } from 'bullmq';

const queue = new Queue('Paint');

queue.add('cars', { color: 'blue' });

Process the jobs in your workers:

import { Worker } from 'bullmq';

const worker = new Worker('Paint', async job => {
  if (job.name === 'cars') {
    await paintCar(job.data.color);
  }
});

Listen to jobs for completion:

import { QueueEvents } from 'bullmq';

const queueEvents = new QueueEvents('Paint');

queueEvents.on('completed', ({ jobId }) => {
  console.log('done painting');
});

queueEvents.on(
  'failed',
  ({ jobId, failedReason }: { jobId: string; failedReason: string }) => {
    console.error('error painting', failedReason);
  },
);

This is just scratching the surface, check all the features and more in the official documentation


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