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0.2.0-pre2 [2009-05-20 01:56 P.M CET]
* Now handles unpickleable exceptions (like the dynimically generated
subclasses of ``django.core.exception.MultipleObjectsReturned``).
0.2.0-pre1 [2009-05-20 12:33 P.M CET]
* It's getting quite stable, with a lot of new features, so bump
version to 0.2. This is a pre-release.
* ``celery.task.mark_as_read()`` and ``celery.task.mark_as_failure()`` has
been removed. Use ``celery.backends.default_backend.mark_as_read()``,
and ``celery.backends.default_backend.mark_as_failure()`` instead.
0.1.15 [2009-05-19 04:13 P.M CET]
* The celery daemon was leaking AMQP connections, this should be fixed,
if you have any problems with too many files open (like ``emfile``
errors in ``rabbit.log``, please contact us!
0.1.14 [2009-05-19 01:08 P.M CET]
* Fixed a syntax error in the ``TaskSet`` class. (No such variable
0.1.13 [2009-05-19 12:36 P.M CET]
* Forgot to add ``yadayada`` to install requirements.
* Now deletes all expired task results, not just those marked as done.
* Able to load the Tokyo Tyrant backend class without django
configuration, can specify tyrant settings directly in the class
* Improved API documentation
* Now using the Sphinx documentation system, you can build
the html documentation by doing ::
$ cd docs
$ make html
and the result will be in ``docs/.build/html``.
0.1.12 [2009-05-18 04:38 P.M CET]
* ``delay_task()`` etc. now returns ``celery.task.AsyncResult`` object,
which lets you check the result and any failure that might have
happened. It kind of works like the ``multiprocessing.AsyncResult``
class returned by ``multiprocessing.Pool.map_async``.
* Added dmap() and dmap_async(). This works like the
``multiprocessing.Pool`` versions except they are tasks
distributed to the celery server. Example:
>>> from celery.task import dmap
>>> import operator
>>> dmap(operator.add, [[2, 2], [4, 4], [8, 8]])
>>> [4, 8, 16]
>>> from celery.task import dmap_async
>>> import operator
>>> result = dmap_async(operator.add, [[2, 2], [4, 4], [8, 8]])
>>> result.ready()
>>> time.sleep(1)
>>> result.ready()
>>> result.result
[4, 8, 16]
* Refactored the task metadata cache and database backends, and added a new backend for Tokyo Tyrant. You can set the backend in your django settings file. e.g
CELERY_BACKEND = "database"; # Uses the database
CELERY_BACKEND = "cache"; # Uses the django cache framework
CELERY_BACKEND = "tyrant"; # Uses Tokyo Tyrant
TT_HOST = "localhost"; # Hostname for the Tokyo Tyrant server.
TT_PORT = 6657; # Port of the Tokyo Tyrant server.
0.1.11 [2009-05-12 02:08 P.M CET]
* The logging system was leaking file descriptors, resulting in
servers stopping with the EMFILES (too many open files) error. (fixed)
0.1.10 [2009-05-11 12:46 P.M CET]
* Tasks now supports both positional arguments and keyword arguments.
* Requires carrot 0.3.8.
* The daemon now tries to reconnect if the connection is lost.
0.1.8 [2009-05-07 12:27 P.M CET]
* Better test coverage
* More documentation
* celeryd doesn't emit ``Queue is empty`` message if
0.1.7 [2009-04-30 1:50 P.M CET]
* Added some unittests
* Can now use the database for task metadata (like if the task has
been executed or not). Set ``settings.CELERY_TASK_META``
* Can now run ``python test`` to run the unittests from
within the ``testproj`` project.
* Can set the AMQP exchange/routing key/queue using
0.1.6 [2009-04-28 2:13 P.M CET]
* Introducing ``TaskSet``. A set of subtasks is executed and you can
find out how many, or if all them, are done (excellent for progress bars and such)
* Now catches all exceptions when running ``Task.__call__``, so the
daemon doesn't die. This does't happen for pure functions yet, only
``Task`` classes.
* ``autodiscover()`` now works with zipped eggs.
* celeryd: Now adds curernt working directory to ``sys.path`` for
* The ``run_every`` attribute of ``PeriodicTask`` classes can now be a
``datetime.timedelta()`` object.
* celeryd: You can now set the ``DJANGO_PROJECT_DIR`` variable
for ``celeryd`` and it will add that to ``sys.path`` for easy launching.
* Can now check if a task has been executed or not via HTTP.
You can do this by including the celery ```` into your project,
>>> url(r'^celery/$', include("celery.urls"))
then visiting the following url,::
this will return a JSON dictionary like e.g:
>>> {"task": {"id": $task_id, "executed": true}}
* ``delay_task`` now returns string id, not ``uuid.UUID`` instance.
* Now has ``PeriodicTasks``, to have ``cron`` like functionality.
* Project changed name from ``crunchy`` to ``celery``. The details of
the name change request is in ``docs/name_change_request.txt``.
0.1.0 [2009-04-24 11:28 A.M CET]
* Initial release
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