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. BullMQ Pro
  2. Groups

Concurrency

By default, there is no limit on the number of jobs that workers can run in parallel for every group. Even using a rate limit, that would only limit the processing speed, but still you could have an unbounded number of jobs processed simultaneously in every group.

It is possible to constrain how many jobs are allowed to be processed concurrently per group. For example, if you choose 3 as max concurrency factor, the workers will never work on more than 3 jobs at the same time for any given group. This limits only the group; you could have any number of concurrent jobs as long as they are not from the same group.

The concurrency factor is configured as follows:

import { WorkerPro } from '@taskforcesh/bullmq-pro';

const worker = new WorkerPro('myQueue', processFn, {
  group: {
    concurrency: 3, // Limit to max 3 parallel jobs per group
  },
  concurrency: 100,
  connection,
});

The concurrency factor is global, so in the example above, independently of the concurrency factor per worker or the number of workers that you instantiate in your application, it will never process more than 3 jobs per group at any given time.

PreviousLocal group rate limitNextLocal group concurrency

Last updated 6 months ago

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