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2.2 KiB
2.2 KiB
0.3.1
(not yet released)
-
.enqueue()
now takes aresult_ttl
keyword argument that can be used to change the expiration time of results. -
Remove
logbook
dependency (in favor oflogging
)
0.3.0
(August 5th, 2012)
-
Reliability improvements
- Warm shutdown now exits immediately when Ctrl+C is pressed and worker is idle
- Worker does not leak worker registrations anymore when stopped gracefully
-
.enqueue()
does not consume thetimeout
kwarg anymore. Instead, to pass RQ a timeout value while enqueueing a function, use the explicit invocation instead:```python q.enqueue(do_something, args=(1, 2), kwargs={'a': 1}, timeout=30) ```
-
Add a
@job
decorator, which can be used to do Celery-style delayed invocations:```python from redis import Redis from rq.decorators import job # Connect to Redis redis = Redis() @job('high', timeout=10, connection=redis) def some_work(x, y): return x + y ```
Then, in another module, you can call
some_work
:```python from foo.bar import some_work some_work.delay(2, 3) ```
0.2.2
(August 1st, 2012)
- Fix bug where return values that couldn't be pickled crashed the worker
0.2.1
(July 20th, 2012)
- Fix important bug where result data wasn't restored from Redis correctly (affected non-string results only).
0.2.0
(July 18th, 2012)
q.enqueue()
accepts instance methods now, too. Objects will be pickle'd along with the instance method, so beware.q.enqueue()
accepts string specification of functions now, too. Example:q.enqueue("my.math.lib.fibonacci", 5)
. Useful if the worker and the submitter of work don't share code bases.- Job can be assigned custom attrs and they will be pickle'd along with the rest of the job's attrs. Can be used when writing RQ extensions.
- Workers can now accept explicit connections, like Queues.
- Various bug fixes.
0.1.2
(May 15, 2012)
- Fix broken PyPI deployment.
0.1.1
(May 14, 2012)
- Thread-safety by using context locals
- Register scripts as console_scripts, for better portability
- Various bugfixes.
0.1.0:
(March 28, 2012)
- Initially released version.