celery 2.4.6-1ubuntu0.1 source package in Ubuntu
Changelog
celery (2.4.6-1ubuntu0.1) precise-proposed; urgency=low * SRU: Drop issue tracker for doc generation as it adds a build-dep that it is not necessary for this package to build. This allows us to MIR celery without MIR'ing the dependency. (LP: #1177855) - debian/control: Drop build-dep on python-sphinxcontrib.issuetracker, - debian/patches/ubuntu-drop-issuetracker.patch: Drop import in doc generation. -- Andres Rodriguez <email address hidden> Wed, 15 May 2013 10:39:29 -0400
Upload details
- Uploaded by:
- Andres Rodriguez
- Uploaded to:
- Precise
- Original maintainer:
- Ubuntu Developers
- Architectures:
- all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Precise | updates | main | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
celery_2.4.6.orig.tar.gz | 871.5 KiB | 59d2c8067bb10d6558e524131e38d5c7684fba0211dbd58229bc73f16334f0b4 |
celery_2.4.6-1ubuntu0.1.debian.tar.gz | 9.3 KiB | 52338eef5341094e3697060184e3cd2030adfd7602c558089aa453ce5eb35379 |
celery_2.4.6-1ubuntu0.1.dsc | 2.5 KiB | 68eb8aaea247b39761ca6cce65c3f5ca38a6e88ba3c2e487374f2672a709f177 |
Available diffs
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.