mirror of https://github.com/rq/rq.git
97 lines
2.5 KiB
Markdown
97 lines
2.5 KiB
Markdown
RQ (_Redis Queue_) is a simple Python library for queueing jobs and processing
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them in the background with workers. It is backed by Redis and it is designed
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to have a low barrier to entry. It should be integrated in your web stack
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easily.
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RQ requires Redis >= 2.7.0.
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[](https://secure.travis-ci.org/nvie/rq)
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[](https://pypi.python.org/pypi/rq)
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[](https://caniusepython3.com/project/rq)
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[](https://coveralls.io/r/nvie/rq)
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Full documentation can be found [here][d].
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## Getting started
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First, run a Redis server, of course:
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```console
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$ redis-server
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```
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To put jobs on queues, you don't have to do anything special, just define
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your typically lengthy or blocking function:
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```python
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import requests
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def count_words_at_url(url):
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"""Just an example function that's called async."""
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resp = requests.get(url)
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return len(resp.text.split())
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```
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You do use the excellent [requests][r] package, don't you?
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Then, create an RQ queue:
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```python
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from redis import Redis
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from rq import Queue
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q = Queue(connection=Redis())
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```
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And enqueue the function call:
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```python
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from my_module import count_words_at_url
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result = q.enqueue(count_words_at_url, 'http://nvie.com')
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```
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For a more complete example, refer to the [docs][d]. But this is the essence.
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### The worker
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To start executing enqueued function calls in the background, start a worker
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from your project's directory:
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```console
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$ rq worker
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*** Listening for work on default
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Got count_words_at_url('http://nvie.com') from default
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Job result = 818
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*** Listening for work on default
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```
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That's about it.
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## Installation
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Simply use the following command to install the latest released version:
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pip install rq
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If you want the cutting edge version (that may well be broken), use this:
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pip install -e git+git@github.com:nvie/rq.git@master#egg=rq
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## Project history
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This project has been inspired by the good parts of [Celery][1], [Resque][2]
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and [this snippet][3], and has been created as a lightweight alternative to the
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heaviness of Celery or other AMQP-based queueing implementations.
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[r]: http://python-requests.org
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[d]: http://python-rq.org/
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[m]: http://pypi.python.org/pypi/mailer
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[p]: http://docs.python.org/library/pickle.html
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[1]: http://www.celeryproject.org/
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[2]: https://github.com/resque/resque
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[3]: http://flask.pocoo.org/snippets/73/
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