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!

🛠 Tutorials

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

News 🚀

🌐 Language agnostic BullMQ

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

Official FrontEnd

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

🚀 Sponsors 🚀

Dragonfly is a new Redis™ drop-in replacement that is fully compatible with BullMQ and brings some important advantages over Redis™ 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.

Used by

Some notable organizations using BullMQ:

The gist

Install:

$ yarn add bullmq
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Add jobs to the queue:

import { Queue } from 'bullmq';

const queue = new Queue('Paint');

queue.add('cars', { color: 'blue' });
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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);
  }
});
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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);
  },
);
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This is just scratching the surface, check all the features and more in the official documentation

Feature Comparison

Since there are a few job queue solutions, here is a table comparing them:

Contributing

Fork the repo, make some changes, submit a pull-request! Here is the contributing doc that has more details.

Thanks

Thanks for all the contributors that made this library possible, also a special mention to Leon van Kammen that kindly donated his npm bullmq repo.