4.4 KiB
0.3.5
(not yet released)
ended_at
is now recorded for normally finished jobs, too. (Previously only for failed jobs.)
0.3.4
(January 23rd, 2013)
- Restore compatibility with Python 2.6.
0.3.3
(January 18th, 2013)
-
Fix bug where work was lost due to silently ignored unpickle errors.
-
Jobs can now access the current
Job
instance from within. Relevant documentation here. -
Custom properties can be set by modifying the
job.meta
dict. Relevant documentation here. -
Custom properties can be set by modifying the
job.meta
dict. Relevant documentation here. -
rqworker
now has an optional--password
flag. -
Remove
logbook
dependency (in favor oflogging
)
0.3.2
(September 3rd, 2012)
-
Fixes broken
rqinfo
command. -
Improve compatibility with Python < 2.7.
0.3.1
(August 30th, 2012)
-
.enqueue()
now takes aresult_ttl
keyword argument that can be used to change the expiration time of results. -
Queue constructor now takes an optional
async=False
argument to bypass the worker (for testing purposes). -
Jobs now carry status information. To get job status information, like whether a job is queued, finished, or failed, use the property
status
, or one of the new boolean accessor propertiesis_queued
,is_finished
oris_failed
. -
Jobs return values are always stored explicitly, even if they have to explicit return value or return
None
(with given TTL of course). This makes it possible to distinguish between a job that explicitly returnedNone
and a job that isn't finished yet (seestatus
property). -
Custom exception handlers can now be configured in addition to, or to fully replace, moving failed jobs to the failed queue. Relevant documentation here and here.
-
rqworker
now supports passing in configuration files instead of the many command line options:rqworker -c settings
will sourcesettings.py
. -
rqworker
now supports one-flag setup to enable Sentry as its exception handler:rqworker --sentry-dsn="http://public:secret@example.com/1"
Alternatively, you can use a settings file and configureSENTRY_DSN = 'http://public:secret@example.com/1'
instead.
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.