job queue implementation for python

Question

Do you know/use any distributed job queue for python? Can you share links or tools

Answer 1

In addition to multiprocessing there's also the Celery project, if you're using Django.

Answer 2

Pyres is a resque clone built in python. Resque is used by Github as their message queue. Both use Redis as the queue backend and provide a web-based monitoring application.

http://binarydud.github.com/pyres/intro.html

Answer 3

There's also "bucker" by Sylvain Hellegouarch which you can find here:

• http://trac.defuze.org/wiki/bucker

It describes itself like this:

• bucker is a queue system that supports multiple storage for the queue (memcached, Amazon SQS for now) and is driven by XML messages sent over a TCP connections between a client and the queue server.

Answer 4

Look at beanstalkd

Answer 5

redqueue? It's implemented in python+tornado framework, speaks memcached protocol and is optionally persistent into log files. Currently it is also able to behave like beanstalkd, the reserve/delete way in memcache protocol as well.

REDQUEUE

Answer 6

If you think that Celery is too heavy for your needs then you might want to look at the simple distributed task queue:

• https://github.com/rojkov/taskqueue
• http://simpletaskqueue.readthedocs.org/

Answer 7

It's a year late or whatever, but this is something I've hacked together to make a queue of Processes executing them only X number at a time. http://github.com/goosemo/job_queue

Answer 8

You probably want to look at multiprocessing's Queue. Included in Python 2.6, get it on PyPI for earlier versions of Python.

Standard library documentation: http://docs.python.org/library/multiprocessing.html On PyPI: http://pypi.python.org/pypi/multiprocessing

Answer 9

Also there is Unix 'at'

For more info: man at