Easy Job Queues for Python
http://python-rq.org/
RQ (Redis Queue) is a simple Python library for queueing jobs and processing
them in the background with workers. It is backed by Redis and it is designed
to have a low barrier to entry. It can be integrated in your web stack easily.
- Developed at devel:languages:python
- Sources inherited from project openSUSE:Factory
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Source Files
| Filename | Size | Changed |
|---|---|---|
| python-rq.changes | 0000002203 2.15 KB | |
| python-rq.spec | 0000002195 2.14 KB | |
| v1.3.0.tar.gz | 0000560299 547 KB |
Revision 3 (latest revision is 14)
Dominique Leuenberger (dimstar_suse)
accepted
request 786289
from
Steve Kowalik (StevenK)
(revision 3)
- Update to 1.3.0:
* RQ 1.3.0 (2020-03-09)
+ Support for infinite job timeout. Thanks @theY4Kman!
+ Added __main__ file so you can now do python -m rq.cli. Thanks @bbayles!
+ Fixes an issue that may cause zombie processes. Thanks @wevsty!
+ job_id is now passed to logger during failed jobs. Thanks @smaccona!
+ queue.enqueue_at() and queue.enqueue_in() now supports explicit args and kwargs function invocation. Thanks @selwin!
* RQ 1.2.2 (2020-01-31)
+ Job.fetch() now properly handles unpickleable return values. Thanks @selwin!
* RQ 1.2.1 (2020-01-31)
+ enqueue_at() and enqueue_in() now sets job status to scheduled. Thanks @coolhacker170597!
+ Failed jobs data are now automatically expired by Redis. Thanks @selwin!
+ Fixes RQScheduler logging configuration. Thanks @FlorianPerucki!
* RQ 1.2.0 (2020-01-04)
+ This release also contains an alpha version of RQ's builtin job scheduling mechanism. Thanks @selwin!
+ Various internal API changes in preparation to support multiple job dependencies. Thanks @thomasmatecki!
+ --verbose or --quiet CLI arguments should override --logging-level. Thanks @zyt312074545!
+ Fixes a bug in rq info where it doesn't show workers for empty queues. Thanks @zyt312074545!
+ Fixed queue.enqueue_dependents() on custom Queue classes. Thanks @van-ess0!
+ RQ and Python versions are now stored in job metadata. Thanks @eoranged!
+ Added failure_ttl argument to job decorator. Thanks @pax0r!
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