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 >= 2.7.0.
Full documentation can be found here.
First, run a Redis server, of course:
$ redis-serverTo 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 an RQ queue:
from redis import Redis
from rq import Queue
q = Queue(connection=Redis())And enqueue the function call:
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. But this is the essence.
To start executing enqueued function calls in the background, start a worker from your project's directory:
$ rq worker
*** Listening for work on default
Got count_words_at_url('http://nvie.com') from default
Job result = 818
*** Listening for work on defaultThat's about it.
Simply use the following command to install the latest rel 6079 eased 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
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.