celery 4.0.2-0ubuntu1 source package in Ubuntu
Changelog
celery (4.0.2-0ubuntu1) artful; urgency=medium * New upstream release (4.0.2) - Refresh patches - d/control: add b-d on python3-sphinx-celery (docs), python{,3}-pytest (tests), python{,3}-case (tests) and python{,3}-eventlet (tests). - d/control: build docs with python3 sphinx - debian/patches/fix_endless_python3.6_loop_logger_isa.patch: Fix endless loop in logger_isa (Python 3.6). Thanks to George Psarakis <email address hidden>. - d/: celery 4.0+ has removed deprecated command-line programs: + celeryd, celerybeat, celeryd-multi are replaced by 'celery worker', 'celery beat' and 'celery multi', respectively - d/t/upstream: tests are now run with pytest * Drop: - Patches that no longer apply: + d/p/drop_downgrade.patch + d/p/intersphinx.patch + d/p/disable_unstable_tests.patch + d/p/0006-ci-Tests-passing-on-Python-3.5.patch + d/p/0008-Remove-bashisms-from-initd-scripts.patch -- Nishanth Aravamudan <email address hidden> Tue, 13 Jun 2017 15:05:10 -0700
Upload details
- Uploaded by:
- Nish Aravamudan
- Uploaded to:
- Artful
- Original maintainer:
- Ubuntu Developers
- Architectures:
- all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
celery_4.0.2.orig.tar.gz | 1.3 MiB | e3d5a6c56a73ff8f2ddd4d06dc37f4c2afe4bb4da7928b884d0725ea865ef54d |
celery_4.0.2-0ubuntu1.debian.tar.xz | 25.7 KiB | 294201273e8a3658248f516b2c8e2b37cbc5a9dff8e769cb2dcb30c5c8b77e35 |
celery_4.0.2-0ubuntu1.dsc | 2.8 KiB | b978355302497efe14aafde79f28bc4e4c05af032bdbc4ce7bf1034b06550844 |
Available diffs
Binary packages built by this source
- celeryd: No summary available for celeryd in ubuntu artful.
No description available for celeryd in ubuntu artful.
- python-celery: No summary available for python-celery in ubuntu artful.
No description available for python-celery in ubuntu artful.
- python-celery-common: async task/job queue based on message passing (common files)
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 common files of the library.
- 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.
- python3-celery: async task/job queue based on message passing (Python3 version)
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 Python 3 version of the library.