Ubuntu
celery package

celery 2.5.3-4ubuntu1 source package in Ubuntu

Changelog

celery (2.5.3-4ubuntu1) raring; urgency=low

  * Merge from Debian unstable. Remaining changes:
    - Drop issue tracker for doc generation as it adds a build-dep that it
      is not really necessary for this package to build. This allows us to
      MIR celery without MIR'ing the dependency.
      + debian/control: Drop build-dep on python-sphinxcontrib.issuetracker.
      + debian/patches/ubuntu-drop-issuetracker.patch: Drop import in doc
        generation.

celery (2.5.3-4) unstable; urgency=low

  * Unconditionally remove /var/log/celery on purge.

celery (2.5.3-3) unstable; urgency=low

  * Remove logfiles during purge if user and group are removed.
  * Use /nonexistant as $HOME for user celery.

celery (2.5.3-2) unstable; urgency=low

  * Create user celery in maintainer scripts (Closes: #697195).
  * Update year in d/copyright.
 -- Logan Rosen <email address hidden>   Thu, 28 Mar 2013 15:38:24 -0400

Upload details

Uploaded by:
Logan Rosen
Sponsored by:
Daniel T Chen
Uploaded to:
Raring
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
python
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Raring: [FULLYBUILT] i386

Downloads

File Size SHA-256 Checksum
celery_2.5.3.orig.tar.gz 924.0 KiB 30bef144a62fb978dd81bef848f30f8df30b5e9a22171dc582b8d3332acae726
celery_2.5.3-4ubuntu1.debian.tar.gz 13.6 KiB be790a6614a3cb2a80a4266d5c65481ad5b31631c1ae252489ff92ef8bb2374a
celery_2.5.3-4ubuntu1.dsc 2.1 KiB 20e5a79e92fceaaa6ff7b86339f791cd95c2e6ecd0c989eb3c0e6ab707d31686

Available diffs

View changes file

Binary packages built by this source

python-celery: async task/job queue based on message passing

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.

python-celery-doc: async task/job queue based on message passing (Documentation)

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the documentation.