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0.6.0 [2009-08-07 06:54 A.M CET]
* Fixed a bug where tasks raising unpickleable exceptions crashed pool
workers. So if you've had pool workers mysteriously dissapearing, or
problems with celeryd stopping working, this has been fixed in this
* Fixed a race condition with periodic tasks.
* The task pool is now supervised, so if a pool worker crashes,
goes away or stops responding, it is automatically replaced with
a new one.
* is now automatically generated out of class module+name, e.g.
``"djangotwitter.tasks.UpdateStatusesTask"``. Very convenient. No idea why
we didn't do this before. Some documentation is updated to not manually
specify a task name.
* Tested with Django 1.1
* New Tutorial: Creating a click counter using carrot and celery
* Database entries for periodic tasks are now created at ``celeryd``
startup instead of for each check (which has been a forgotten TODO/XXX
in the code for a long time)
* New settings variable: ``CELERY_TASK_RESULT_EXPIRES``
Time (in seconds, or a `datetime.timedelta` object) for when after
stored task results are deleted. For the moment this only works for the
database backend.
* ``celeryd`` now emits a debug log message for which periodic tasks
has been launched.
* The periodic task table is now locked for reading while getting
periodic task status. (MySQL only so far, seeking patches for other
* A lot more debugging information is now available by turning on the
``DEBUG`` loglevel (``--loglevel=DEBUG``).
* Functions/methods with a timeout argument now works correctly.
* New: ``celery.strategy.even_time_distribution``:
With an iterator yielding task args, kwargs tuples, evenly distribute
the processing of its tasks throughout the time window available.
* Log message ``Unknown task ignored...`` now has loglevel ``ERROR``
* Log message ``"Got task from broker"`` is now emitted for all tasks, even if
the task has an ETA (estimated time of arrival). Also the message now
includes the ETA for the task (if any).
* Acknowledgement now happens in the pool callback. Can't do ack in the job
target, as it's not pickleable (can't share AMQP connection, etc)).
* Added note about .delay hanging in README
* Tests now passing in Django 1.1
* Fixed discovery to make sure app is in INSTALLED_APPS
* Previously overrided pool behaviour (process reap, wait until pool worker
available, etc.) is now handled by ``multiprocessing.Pool`` itself.
* Convert statistics data to unicode for use as kwargs. Thanks Lucy!
0.4.1 [2009-07-02 01:42 P.M CET]
* Fixed a bug with parsing the message options (``mandatory``,
``routing_key``, ``priority``, ``immediate``)
0.4.0 [2009-07-01 07:29 P.M CET]
* Adds eager execution. ``celery.execute.apply``|``Task.apply`` executes the
function blocking until the task is done, for API compatiblity it
returns an ``celery.result.EagerResult`` instance. You can configure
celery to always run tasks locally by setting the
``CELERY_ALWAYS_EAGER`` setting to ``True``.
* Now depends on ``anyjson``.
* 99% coverage using python ``coverage`` 3.0.
0.3.20 [2009-06-25 08:42 P.M CET]
* New arguments to ``apply_async`` (the advanced version of
``delay_task``), ``countdown`` and ``eta``;
>>> # Run 10 seconds into the future.
>>> res = apply_async(MyTask, countdown=10);
>>> # Run 1 day from now
>>> res = apply_async(MyTask, +
... timedelta(days=1)
* Now unlinks the pidfile if it's stale.
* Lots of more tests.
* Now compatible with carrot >= 0.5.0.
* **IMPORTANT** The ``subtask_ids`` attribute on the ``TaskSetResult``
instance has been removed. To get this information instead use:
>>> subtask_ids = [subtask.task_id for subtask in ts_res.subtasks]
* ```` now respects extra message options from the task class.
* Task: Add attribute ``ignore_result``: Don't store the status and
return value. This means you can't use the
``celery.result.AsyncResult`` to check if the task is
done, or get its return value. Only use if you need the performance
and is able live without these features. Any exceptions raised will
store the return value/status as usual.
* Task: Add attribute ``disable_error_emails`` to disable sending error
emails for that task.
* Should now work on Windows (although running in the background won't
work, so using the ``--detach`` argument results in an exception
being raised.)
* Added support for statistics for profiling and monitoring.
To start sending statistics start ``celeryd`` with the
``--statistics`` option. Then after a while you can dump the results
by running ``python celerystats``. See
``celery.monitoring`` for more information.
* The celery daemon can now be supervised (i.e it is automatically
restarted if it crashes). To use this start celeryd with the
``--supervised`` option (or alternatively ``-S``).
* views.apply: View applying a task. Example::
**NOTE** Use with caution, preferably not make this publicly
accessible without ensuring your code is safe!
* Refactored ``celery.task``. It's now split into three modules:
* celery.task
Contains ``apply_async``, ``delay_task``, ``discard_all``, and task
shortcuts, plus imports objects from ``celery.task.base`` and
* celery.task.base
Contains task base classes: ``Task``, ``PeriodicTask``,
``TaskSet``, ``AsynchronousMapTask``, ``ExecuteRemoteTask``.
* celery.task.builtins
Built-in tasks: ``PingTask``, ``DeleteExpiredTaskMetaTask``.
0.3.7 [2008-06-16 11:41 P.M CET]
* **IMPORTANT** Now uses AMQP's ``basic.consume`` instead of
``basic.get``. This means we're no longer polling the broker for
new messages.
* **IMPORTANT** Default concurrency limit is now set to the number of CPUs
available on the system.
* **IMPORTANT** ``tasks.register``: Renamed ``task_name`` argument to
``name``, so
>>> tasks.register(func, task_name="mytask")
has to be replaced with:
>>> tasks.register(func, name="mytask")
* The daemon now correctly runs if the pidlock is stale.
* Now compatible with carrot 0.4.5
* Default AMQP connnection timeout is now 4 seconds.
* ```` was always returning ``True``.
* Only use README as long_description if the file exists so easy_install
doesn't break.
* ``celery.view``: JSON responses now properly set its mime-type.
* ``apply_async`` now has a ``connection`` keyword argument so you
can re-use the same AMQP connection if you want to execute
more than one task.
* Handle failures in task_status view such that it won't throw 500s.
* Fixed typo ``AMQP_SERVER`` in documentation to ``AMQP_HOST``.
* Worker exception e-mails sent to admins now works properly.
* No longer depends on ``django``, so installing ``celery`` won't affect
the preferred Django version installed.
* Now works with PostgreSQL (psycopg2) again by registering the
``PickledObject`` field.
* ``celeryd``: Added ``--detach`` option as an alias to ``--daemon``, and
it's the term used in the documentation from now on.
* Make sure the pool and periodic task worker thread is terminated
properly at exit. (So ``Ctrl-C`` works again).
* Now depends on ``python-daemon``.
* Removed dependency to ``simplejson``
* Cache Backend: Re-establishes connection for every task process
if the Django cache backend is memcached/libmemcached.
* Tyrant Backend: Now re-establishes the connection for every task
0.3.3 [2009-06-08 01:07 P.M CET]
* The ``PeriodicWorkController`` now sleeps for 1 second between checking
for periodic tasks to execute.
0.3.2 [2009-06-08 01:07 P.M CET]
* celeryd: Added option ``--discard``: Discard (delete!) all waiting
messages in the queue.
* celeryd: The ``--wakeup-after`` option was not handled as a float.
0.3.1 [2009-06-08 01:07 P.M CET]
* The `PeriodicTask`` worker is now running in its own thread instead
of blocking the ``TaskController`` loop.
* Default ``QUEUE_WAKEUP_AFTER`` has been lowered to ``0.1`` (was ``0.3``)
0.3.0 [2009-06-08 12:41 P.M CET]
**NOTE** This is a development version, for the stable release, please
see versions 0.2.x.
**VERY IMPORTANT:** Pickle is now the encoder used for serializing task
arguments, so be sure to flush your task queue before you upgrade.
* **IMPORTANT** now returns a celery.result.TaskSetResult
instance, which lets you inspect the status and return values of a
taskset as it was a single entity.
* **IMPORTANT** Celery now depends on carrot >= 0.4.1.
* The celery daemon now sends task errors to the registered admin e-mails.
To turn off this feature, set ``SEND_CELERY_TASK_ERROR_EMAILS`` to
``False`` in your ````. Thanks to Grégoire Cachet.
* You can now run the celery daemon by using ````::
$ python celeryd
Thanks to Grégoire Cachet.
* Added support for message priorities, topic exchanges, custom routing
keys for tasks. This means we have introduced
``celery.task.apply_async``, a new way of executing tasks.
You can use ``celery.task.delay`` and ``celery.Task.delay`` like usual, but
if you want greater control over the message sent, you want
``celery.task.apply_async`` and ``celery.Task.apply_async``.
This also means the AMQP configuration has changed. Some settings has
been renamed, while others are new::
See the entry `Can I send some tasks to only some servers?`_ in the
`FAQ`_ for more information.
.. _`Can I send some tasks to only some servers?`:
.. _`FAQ`:
* Task errors are now logged using loglevel ``ERROR`` instead of ``INFO``,
and backtraces are dumped. Thanks to Grégoire Cachet.
* Make every new worker process re-establish it's Django DB connection,
this solving the "MySQL connection died?" exceptions.
Thanks to Vitaly Babiy and Jirka Vejrazka.
* **IMOPORTANT** Now using pickle to encode task arguments. This means you
now can pass complex python objects to tasks as arguments.
* Removed dependency to ``yadayada``.
* Added a FAQ, see ``docs/faq.rst``.
* Now converts any unicode keys in task ``kwargs`` to regular strings.
Thanks Vitaly Babiy.
* Renamed the ``TaskDaemon`` to ``WorkController``.
* ``celery.datastructures.TaskProcessQueue`` is now renamed to
* The pool algorithm has been refactored for greater performance and
0.2.0 [2009-05-20 05:14 P.M CET]
* Final release of 0.2.0
* Compatible with carrot version 0.4.0.
* Fixes some syntax errors related to fetching results
from the database backend.
0.2.0-pre3 [2009-05-20 05:14 P.M CET]
* *Internal release*. Improved handling of unpickled exceptions,
``get_result`` now tries to recreate something looking like the
original exception.
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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