*django-beanstalkd* is a convenience wrapper for the [beanstalkd][beanstalkd]
With django-beanstalkd, you can code jobs as well as clients in a Django project
with minimal overhead in your application. Server connections etc. all take
place in django-beanstalkd and don't unnecessarily clog your application code.
This library is based in large part on Fred Wenzel's [django-gearman][django-gearman].
If you're looking for synchronous execution of jobs, check out [Gearman][gearman]
and Fred's library! Beanstalkd is useful for background processes only.
It's the same for both the client and worker instances of your django project:
pip install django-beanstalkd
Add ``django_beanstalkd`` to the `INSTALLED_APPS` section of `settings.py`.
Specify the following settings in your local settings.py file if your beanstalkd
server isn't accessible on port 11300 of localhost (127.0.0.1):
# My beanstalkd server
BEANSTALK_SERVER = '127.0.0.1:11300' # the default value
If necessary, you can specify a pattern to be applied to your beanstalk worker
# beanstalk job name pattern. Namespacing etc goes here. This is the pattern
# your jobs will register as with the server, and that you'll need to use
# when calling them from a non-django-beanstalkd client.
# replacement patterns are:
# %(app)s : django app name the job is filed under
# %(job)s : job name
BEANSTALK_JOB_NAME = '%(app)s.%(job)s'
### Registering jobs
Create a file `beanstalk_jobs.py` in any of your django apps, and define as many
jobs as functions as you like. The job must accept a single string argument as
passed by the caller.
Mark each of these functions as beanstalk jobs by decorating them with
For an example, look at the `beanstalk_example` app's `benstalk_jobs.py` file.
### Starting a worker
To start a worker, run `python manage.py beanstalk_worker`. It will start
serving all registered jobs.
To spawn more than one worker (if, e.g., most of your jobs are I/O bound),
use the `-w` option:
python manage.py beanstalk_worker -w 5
will start five workers.
Since the process will keep running while waiting for and executing jobs,
you probably want to run this in a _screen_ session or similar.
To make your workers work, you need a client app passing data to them. Create
and instance of the `django_beanstalkd.BeanstalkClient` class and `call` a
function with it:
from django_beanstalkd import BeanstalkClient
client = BeanstalkClient()
For a live example look at the `beanstalk_example` app, in the
`management/commands/beanstalk_example_client.py` file. Arguments to `call` are
priority: an integer number that specifies the priority. Jobs with a
smaller priority get executed first
delay: how many seconds to wait before the job can be reserved
ttr: how many seconds a worker has to process the job before it gets requeued
For a full, working, example application, add `beanstalk_example` to your
`INSTALLED_APPS`, then run a worker in one shell:
python manage.py beanstalk_worker -w 4
and execute the example app in another:
python manage.py beanstalk_example_client
You can see the client sending data and the worker(s) working on it.
This software is licensed under the [Mozilla Tri-License][MPL]:
***** BEGIN LICENSE BLOCK *****
Version: MPL 1.1/GPL 2.0/LGPL 2.1
The contents of this file are subject to the Mozilla Public License Version
1.1 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
Software distributed under the License is distributed on an "AS IS" basis,
WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License
for the specific language governing rights and limitations under the
The Original Code is django-gearman.
The Initial Developer of the Original Code is Mozilla.
Portions created by the Initial Developer are Copyright (C) 2010
the Initial Developer. All Rights Reserved.
Jonas VP <firstname.lastname@example.org>
Frederic Wenzel <email@example.com>
Jeff Balogh <firstname.lastname@example.org>
Kimi Huang <email@example.com>
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