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.
First, run a Redis server, of course:
To put jobs on queues, you don't have to do anything special, just define your typically lengthy or blocking function:
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 package, don't you?
Then, create a RQ queue:
from rq import Queue, use_connection use_connection() q = Queue()
And enqueue the function call:
from my_module import count_words_at_url result = q.enqueue(count_words_at_url, 'http://nvie.com')
For a more complete example, refer to the docs. But this is the essence.
To start executing enqueued function calls in the background, start a worker from your project's directory:
$ rqworker *** 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.
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 email@example.com:nvie/rq.git@master#egg=rq
This project has been inspired by the good parts of Celery, Resque and this snippet, and has been created as a lightweight alternative to the heaviness of Celery or other AMQP-based queueing implementations.