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A simple app that provides django integration for RQ (Redis Queue)

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Django integration with RQ, a Redis based Python queuing library. Django-RQ is a simple app that allows you to configure your queues in django's and easily use them in your project.



pip install django-rq
  • Add django_rq to INSTALLED_APPS in
    # other apps
  • Configure your queues in django's (syntax based on Django's database config):
    'default': {
        'HOST': 'localhost',
        'PORT': 6379,
        'DB': 0,
        'PASSWORD': 'some-password',
    'high': {
        'URL': os.getenv('REDISTOGO_URL', 'redis://localhost:6379'), # If you're on Heroku
        'DB': 0,
    'low': {
        'HOST': 'localhost',
        'PORT': 6379,
        'DB': 0,
  • Include django_rq.urls in your
urlpatterns += patterns('',
    (r'^django-rq/', include('django_rq.urls')),


Putting jobs in the queue

Django-RQ allows you to easily put jobs into any of the queues defined in It comes with a few utility functions:

  • enqueue - push a job to the default queue:
import django_rq
django_rq.enqueue(func, foo, bar=baz)
  • get_queue - accepts a single queue name argument (defaults to "default") and returns an RQ Queue instance for you to queue jobs into:
import django_rq
queue = django_rq.get_queue('high')
queue.enqueue(func, foo, bar=baz)
  • get_connection - accepts a single queue name argument (defaults to "default") and returns a connection to the queue's Redis server:
import django_rq
redis_conn = django_rq.get_connection('high')
  • get_worker - accepts optional queue names and returns a new RQ Worker instance for specified queues (or default queue):
import django_rq
worker = django_rq.get_worker() # Returns a worker for "default" queue
worker = django_rq.get_worker('low', 'high') # Returns a worker for "low" and "high"

@job decorator

To easily turn a callable into an RQ task, you can also use the @job decorator that comes with django_rq:

from django_rq import job

def long_running_func():
long_running_func.delay() # Enqueue function in "default" queue

def long_running_func():
long_running_func.delay() # Enqueue function in "high" queue

Running workers

django_rq provides a management command that starts a worker for every queue specified as arguments:

python rqworker high default low

If you want to run rqworker in burst mode, you can pass in the --burst flag:

python rqworker high default low --burst

If you need to use a custom worker class, you can pass in the --worker-class flag with the path to your worker:

python rqworker high default low --worker-class ''

Support for RQ Scheduler

If you have RQ Scheduler installed, you can also use the get_scheduler function to return a Scheduler instance for queues defined in's RQ_QUEUES. For example:

import django_rq
scheduler = django_rq.get_scheduler('default')
job = scheduler.enqueue_at(datetime(2020, 10, 10), func)

Support for django-redis and django-redis-cache

If you have django-redis or django-redis-cache installed, you can instruct django_rq to use the same connection information from your Redis cache. This has two advantages: it's DRY and it takes advantage of any optimization that may be going on in your cache setup (like using connection pooling or Hiredis.)

To use configure it, use a dict with the key USE_REDIS_CACHE pointing to the name of the desired cache in your RQ_QUEUES dict. It goes without saying that the chosen cache must exist and use the Redis backend. See your respective Redis cache package docs for configuration instructions. It's also important to point out that since the django-redis-cache ShardedClient splits the cache over multiple Redis connections, it does not work. Here is an example settings fragment for django-redis:

    'redis-cache': {
        'BACKEND': 'redis_cache.cache.RedisCache',
        'LOCATION': 'localhost:6379:1',
        'OPTIONS': {
            'CLIENT_CLASS': 'redis_cache.client.DefaultClient',
            'MAX_ENTRIES': 5000,

    'high': {
        'USE_REDIS_CACHE': 'redis-cache',
    'low': {
        'USE_REDIS_CACHE': 'redis-cache',

Queue statistics

django_rq also provides a dashboard to monitor the status of your queues at /django-rq/ (or whatever URL you set in your during installation.

You can also add a link to this dashboard link in /admin by adding RQ_SHOW_ADMIN_LINK = True in Be careful though, this will override the default admin template so it may interfere with other apps that modifies the default admin template.

Configuring Logging

Starting from version 0.3.3, RQ uses Python's logging, this means you can easily configure rqworker's logging mechanism in django's For example:

    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "rq_console": {
            "format": "%(asctime)s %(message)s",
            "datefmt": "%H:%M:%S",
    "handlers": {
        "rq_console": {
            "level": "DEBUG",
            "class": "rq.utils.ColorizingStreamHandler",
            "formatter": "rq_console",
            "exclude": ["%(asctime)s"],
        # If you use sentry for logging
        'sentry': {
            'level': 'ERROR',
            'class': 'raven.contrib.django.handlers.SentryHandler',
    'loggers': {
        "rq.worker": {
            "handlers": ["rq_console", "sentry"],
            "level": "DEBUG"

Testing tip

For an easier testing process, you can run a worker synchronously this way:

from django.test impor TestCase
from django_rq import get_worker

class MyTest(TestCase):
    def test_something_that_creates_jobs(self):
        ...                      # Stuff that init jobs.
        get_worker().work(burst=True)  # Processes all jobs then stop.
        ...                      # Asserts that the job stuff is done.

Synchronous mode

You can set the option ASYNC to False to make synchronous operation the default for a given queue. This will cause jobs to execute immediately and on the same thread as they are dispatched, which is useful for testing and debugging. For example, you might add the following after you queue configuration in your settings file:

# ... Logic to set DEBUG and TESTING settings to True or False ...

# ... Regular RQ_QUEUES setup code ...

    for queueConfig in RQ_QUEUES.itervalues():
        queueConfig['ASYNC'] = False

Note that setting the async parameter explicitly when calling get_queue will override this setting.

Running Tests

To run django_rq's test suite:

`which` test django_rq --settings=django_rq.test_settings --pythonpath=.



  • Adds compatibility with django-redis >= 3.4.0


  • Python 3 compatibility
  • Added rqscheduler management command
  • get_queue and get_queues now accept autocommit argument


  • Bugfix to DjangoRQ class


  • Added ASYNC option to RQ_QUEUES
  • Added get_failed_queue shortcut
  • Django-RQ can now reuse existing django-redis cache connections
  • Added an experimental (and undocumented) AUTOCOMMIT option, use at your own risk


  • Make admin template override optional.


  • get_queue now accepts async and default_timeout arguments
  • Minor updates to admin interface


  • Added the ability to requeue failed jobs in the admin interface
  • In addition to deleting the actual job from Redis, job id is now also correctly removed from the queue
  • Bumped up RQ requirement to 0.3.4 as earlier versions cause logging to fail (thanks @hugorodgerbrown)

Version 0.4.4

  • rqworker management command now uses django.utils.log.dictConfig so it's usable on Python 2.6

Version 0.4.3

  • Added --burst option to rqworker management command
  • Added support for Python's logging, introduced in RQ 0.3.3
  • Fixed a bug that causes jobs using RQ's new get_current_job to fail when executed through the rqworker management command

Version 0.4.2

Fixed a minor bug in accessing rq_job_detail view.

Version 0.4.1

More improvements to /admin/django_rq/:

  • Views now require staff permission
  • Now you can delete jobs from queue
  • Failed jobs' tracebacks are better formatted

Version 0.4.0

Greatly improved /admin/django_rq/, now you can:

  • See jobs in each queue, including failed queue
  • See each job's detailed information

Version 0.3.2

  • Simplified @job decorator syntax for enqueuing to "default" queue.

Version 0.3.1

  • Queues can now be configured using the URL parameter in

Version 0.3.0

  • Added support for RQ's @job decorator
  • Added get_worker command

Version 0.2.2

  • "PASSWORD" key in RQ_QUEUES will now be used when connecting to Redis.
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