RQ (_Redis Queue_) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It should be integrated in your web stack easily. RQ requires Redis >= 3.0.0. [![Build status](https://travis-ci.org/rq/rq.svg?branch=master)](https://secure.travis-ci.org/rq/rq) [![PyPI](https://img.shields.io/pypi/pyversions/rq.svg)](https://pypi.python.org/pypi/rq) [![Coverage](https://codecov.io/gh/rq/rq/branch/master/graph/badge.svg)](https://codecov.io/gh/rq/rq) Full documentation can be found [here][d]. ## Support RQ If you find RQ useful, please consider supporting this project via [Tidelift](https://tidelift.com/subscription/pkg/pypi-rq?utm_source=pypi-rq&utm_medium=referral&utm_campaign=readme). ## Getting started First, run a Redis server, of course: ```console $ redis-server ``` To put jobs on queues, you don't have to do anything special, just define your typically lengthy or blocking function: ```python import requests def count_words_at_url(url): """Just an example function that's called async.""" resp = requests.get(url) return len(resp.text.split()) ``` You do use the excellent [requests][r] package, don't you? Then, create an RQ queue: ```python from redis import Redis from rq import Queue q = Queue(connection=Redis()) ``` And enqueue the function call: ```python from my_module import count_words_at_url job = q.enqueue(count_words_at_url, 'http://nvie.com') ``` For a more complete example, refer to the [docs][d]. But this is the essence. ### The worker To start executing enqueued function calls in the background, start a worker from your project's directory: ```console $ rq worker *** Listening for work on default Got count_words_at_url('http://nvie.com') from default Job result = 818 *** Listening for work on default ``` That's about it. ## Installation Simply use the following command to install the latest released version: pip install rq If you want the cutting edge version (that may well be broken), use this: pip install -e git+https://github.com/nvie/rq.git@master#egg=rq ## Project history This project has been inspired by the good parts of [Celery][1], [Resque][2] and [this snippet][3], and has been created as a lightweight alternative to the heaviness of Celery or other AMQP-based queueing implementations. [r]: http://python-requests.org [d]: http://python-rq.org/ [m]: http://pypi.python.org/pypi/mailer [p]: http://docs.python.org/library/pickle.html [1]: http://www.celeryproject.org/ [2]: https://github.com/resque/resque [3]: http://flask.pocoo.org/snippets/73/