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

Project description

Django-RQ

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 settings.py and easily use them in your project.

Requirements

Installation

  • Install django-rq:

    pip install django-rq
  • Add django_rq to INSTALLED_APPS in settings.py:

    INSTALLED_APPS = (
        # other apps
        "django_rq",
    )
  • Configure your queues in django’s settings.py (syntax based on Django’s database config)

    RQ_QUEUES = {
        'default': {
            'HOST': 'localhost',
            'PORT': 6379,
            'DB': 0,
            'PASSWORD': 'some-password',
        },
        'high': {
            'HOST': 'localhost',
            'PORT': 6379,
            'DB': 0,
        },
        'low': {
            'HOST': 'localhost',
            'PORT': 6379,
            'DB': 0,
        }
    }
  • Include django_rq.urls in your urls.py:

    urlpatterns += patterns('',
        (r'^django_rq/', include('django_rq.urls')),
    )

Usage

Putting jobs in the queue

Django-RQ allows you to easily put jobs into any of the queues defined in settings.py. 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')

Running workers

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

python manage.py rqworker high default low

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 settings.py’s RQ_QUEUES. For example:

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

Queue statistics

You can also monitor the status of your queues from /django_rq/. This uses some features that’s not yet available in RQ’s current stable release (0.1.3) so you’ll need to install RQ’s development version from https://github.com/nvie/rq to use this feature.

If you need a more sophisticated monitoring tools for RQ, you could also try rq-dashboard. provides a more comprehensive of monitoring tools.

Changelog

  • Version 0.2.2: “PASSWORD” key in RQ_QUEUES will now be used when connecting to Redis.

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