python-celery
http://github.com/ask/celery
Celery is a distributed task queue. It was first created for Django, but is now usable from Python. It can also operate with
other languages via HTTP+JSON. It is used for executing tasks asynchronously, routed to one or more worker servers, running
concurrently using multiprocessing. It is designed to solve certain problems related to running websites demanding high-availability and performance.
It is perfect for filling caches, posting updates to twitter, mass downloading data like syndication feeds or web scraping. Use-cases are plentiful. Implementing these features asynchronously using celery is easy and fun, and the performance improvements can make it more than worthwhile.
- Developed at devel:languages:python
- Sources inherited from project openSUSE:Factory
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Source Files
Filename | Size | Changed |
---|---|---|
_multibuild | 0000000053 53 Bytes | |
celery-4.4.7.tar.gz | 0001469812 1.4 MB | |
python-celery.changes | 0000089137 87 KB | |
python-celery.spec | 0000003778 3.69 KB |
Revision 34 (latest revision is 44)
Dominique Leuenberger (dimstar_suse)
accepted
request 838700
from
Tomáš Chvátal (scarabeus_iv)
(revision 34)
- Use really the upstream tarball - Don't update to 5.0.0 because missing dependencies - Update to version 4.4.7 + Add task_received, task_rejected and task_unknown to signals module. + [ES backend] add 401 as safe for retry. + treat internal errors as failure. + Remove redis fanout caveats. + FIX: -A and --args should behave the same. (#6223) + Class-based tasks autoretry (#6233) + Preserve order of group results with Redis result backend (#6218) + Replace future with celery.five Fixes #6250, and reraise to include + Fix REMAP_SIGTERM=SIGQUIT not working + (Fixes#6258) MongoDB: fix for serialization issue (#6259) + Make use of ordered sets in Redis opt-in + Test, CI, Docker, style and minor doc impovements.
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