BullMQ
  • What is BullMQ
  • Quick Start
  • API Reference
  • Changelogs
    • v4
    • v3
    • v2
    • v1
  • Guide
    • Introduction
    • Connections
    • Queues
      • Auto-removal of jobs
      • Adding jobs in bulk
      • Global Concurrency
      • Removing Jobs
    • Workers
      • Auto-removal of jobs
      • Concurrency
      • Graceful shutdown
      • Stalled Jobs
      • Sandboxed processors
      • Pausing queues
    • Jobs
      • FIFO
      • LIFO
      • Job Ids
      • Job Data
      • Deduplication
      • Delayed
      • Repeatable
      • Prioritized
      • Removing jobs
      • Stalled
      • Getters
    • Job Schedulers
      • Repeat Strategies
      • Repeat options
      • Manage Job Schedulers
    • Flows
      • Adding flows in bulk
      • Get Flow Tree
      • Fail Parent
      • Continue Parent
      • Remove Dependency
      • Ignore Dependency
      • Remove Child Dependency
    • Metrics
      • Prometheus
    • Rate limiting
    • Parallelism and Concurrency
    • Retrying failing jobs
    • Returning job data
    • Events
      • Create Custom Events
    • Telemetry
      • Getting started
      • Running Jaeger
      • Running a simple example
    • QueueScheduler
    • Redisâ„¢ Compatibility
      • Dragonfly
    • Redisâ„¢ hosting
      • AWS MemoryDB
      • AWS Elasticache
    • Architecture
    • NestJs
      • Producers
      • Queue Events Listeners
    • Going to production
    • Migration to newer versions
    • Troubleshooting
  • Patterns
    • Adding jobs in bulk across different queues
    • Manually processing jobs
    • Named Processor
    • Flows
    • Idempotent jobs
    • Throttle jobs
    • Process Step Jobs
    • Failing fast when Redis is down
    • Stop retrying jobs
    • Timeout jobs
    • Timeout for Sandboxed processors
    • Redis Cluster
  • BullMQ Pro
    • Introduction
    • Install
    • Observables
      • Cancelation
    • Groups
      • Getters
      • Rate limiting
      • Local group rate limit
      • Concurrency
      • Local group concurrency
      • Max group size
      • Pausing groups
      • Prioritized intra-groups
      • Sandboxes for groups
    • Telemetry
    • Batches
    • NestJs
      • Producers
      • Queue Events Listeners
      • API Reference
      • Changelog
    • API Reference
    • Changelog
    • New Releases
    • Support
  • Bull
    • Introduction
    • Install
    • Quick Guide
    • Important Notes
    • Reference
    • Patterns
      • Persistent connections
      • Message queue
      • Returning Job Completions
      • Reusing Redis Connections
      • Redis cluster
      • Custom backoff strategy
      • Debugging
      • Manually fetching jobs
  • Python
    • Introduction
    • Changelog
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  1. Guide

Introduction

Previousv1NextConnections

Last updated 6 months ago

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BullMQ is based in 4 classes that together can be used to resolve many different problems. These classes are , , and .

The first class you should know about is the Queue class. This class represents a queue and can be used for adding jobs to the queue as well as some other basic manipulation such as pausing, cleaning or getting data from the queue.

Jobs in BullMQ are basically a user created data structure that can be stored in the queue. Jobs are processed by workers. A Worker is the second class you should be aware about. Workers are instances capable of processing jobs. You can have many workers, either running in the same Node.js process, or in separate processes as well as in different machines. They will all consume jobs from the queue and mark the jobs as completed or failed.

Queue
Worker
QueueEvents
FlowProducer