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

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# πŸ›  Tutorials You can find tutorials and news in this blog: https://blog.taskforce.sh/ # News πŸš€ ## 🌐 Language agnostic BullMQ Do you need to work with BullMQ on platforms other than Node.js? If so, check out the [BullMQ Proxy](https://github.com/taskforcesh/bullmq-proxy) # Official FrontEnd [Taskforce.sh, Inc](https://taskforce.sh) 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](https://taskforce.sh) # πŸš€ Sponsors πŸš€
Dragonfly Dragonfly is a new Redisβ„’ drop-in replacement that is fully compatible with BullMQ and brings some important advantages over Redisβ„’ 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:
Microsoft Vendure Datawrapper Nest Langfuse
Curri Novu NoCodeDB Infisical
# The gist Install: ``` $ yarn add bullmq ``` Add jobs to the queue: ```ts import { Queue } from 'bullmq'; const queue = new Queue('Paint'); queue.add('cars', { color: 'blue' }); ``` Process the jobs in your workers: ```ts 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: ```ts 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); }, ); ``` Adds jobs with parent-child relationship: ```ts import { FlowProducer } from 'bullmq'; const flow = new FlowProducer(); const originalTree = await flow.add({ name: 'root-job', queueName: 'topQueueName', data: {}, children: [ { name: 'child-job', data: { idx: 0, foo: 'bar' }, queueName: 'childrenQueueName', children: [ { name: 'grandchild-job', data: { idx: 1, foo: 'bah' }, queueName: 'grandChildrenQueueName', }, { name: 'grandchild-job', data: { idx: 2, foo: 'baz' }, queueName: 'grandChildrenQueueName', }, ], }, { name: 'child-job', data: { idx: 3, foo: 'foo' }, queueName: 'childrenQueueName', }, ], }); ``` 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: | Feature | [BullMQ-Pro](https://bullmq.io/#bullmq-pro) | [BullMQ](https://bullmq.io) | Bull | Kue | Bee | Agenda | | :------------------------- | :-----------------------------------------: | :-------------------------: | :-------------: | :---: | -------- | ------ | | Backend | redis | redis | redis | redis | redis | mongo | | Observables | βœ“ | | | | | | | Group Rate Limit | βœ“ | | | | | | | Group Support | βœ“ | | | | | | | Batches Support | βœ“ | | | | | | | Parent/Child Dependencies | βœ“ | βœ“ | | | | | | Deduplication (Debouncing) | βœ“ | βœ“ | βœ“ | | | | | Deduplication (Throttling) | βœ“ | βœ“ | βœ“ | | | | | Priorities | βœ“ | βœ“ | βœ“ | βœ“ | | βœ“ | | Concurrency | βœ“ | βœ“ | βœ“ | βœ“ | βœ“ | βœ“ | | Delayed jobs | βœ“ | βœ“ | βœ“ | βœ“ | | βœ“ | | Global events | βœ“ | βœ“ | βœ“ | βœ“ | | | | Rate Limiter | βœ“ | βœ“ | βœ“ | | | | | Pause/Resume | βœ“ | βœ“ | βœ“ | βœ“ | | | | Sandboxed worker | βœ“ | βœ“ | βœ“ | | | | | Repeatable jobs | βœ“ | βœ“ | βœ“ | | | βœ“ | | Atomic ops | βœ“ | βœ“ | βœ“ | | βœ“ | | | Persistence | βœ“ | βœ“ | βœ“ | βœ“ | βœ“ | βœ“ | | UI | βœ“ | βœ“ | βœ“ | βœ“ | | βœ“ | | Optimized for | Jobs / Messages | Jobs / Messages | Jobs / Messages | Jobs | Messages | Jobs | ## Contributing Fork the repo, make some changes, submit a pull-request! Here is the [contributing](https://github.com/taskforcesh/bullmq/blob/master/contributing.md) 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.