.. _whatsnew-3.1:
===========================================
What's new in Celery 3.1 (Cipater)
===========================================
.. sidebar:: Change history
What's new documents describes the changes in major versions,
we also have a :ref:`changelog` that lists the changes in bugfix
releases (0.0.x), while older series are archived under the :ref:`history`
section.
Celery is a simple, flexible and reliable distributed system to
process vast amounts of messages, while providing operations with
the tools required to maintain such a system.
It's a task queue with focus on real-time processing, while also
supporting task scheduling.
Celery has a large and diverse community of users and contributors,
you should come join us :ref:`on IRC <irc-channel>`
or :ref:`our mailing-list <mailing-list>`.
To read more about Celery you should go read the :ref:`introduction <intro>`.
While this version is backward compatible with previous versions
it's important that you read the following section.
This version is officially supported on CPython 2.6, 2.7, 3.2 and 3.3,
as well as PyPy and Jython.
Highlights
==========
.. topic:: Overview
- Now supports Django out of the box.
See the new tutorial at :ref:`django-first-steps`.
- XXX2
- XXX3
YYY3
.. _`website`: http://celeryproject.org/
.. _`django-celery changelog`:
http://github.com/celery/django-celery/tree/master/Changelog
.. _`django-celery 3.0`: http://pypi.python.org/pypi/django-celery/
.. contents::
:local:
:depth: 2
.. _v310-important:
Important Notes
===============
No longer supports Python 2.5
-----------------------------
Celery now requires Python 2.6 or later.
We now have a dual codebase that runs on both Python 2 and 3 without
using the ``2to3`` porting tool.
Last version to enable Pickle by default.
-----------------------------------------
Starting from Celery 3.2 the default serializer will be json.
If you depend on pickle being accepted you should be prepared
for this change by explicitly allowing your worker
to consume pickled messages using the :setting:`CELERY_ACCEPT_CONTENT``
setting::
CELERY_ACCEPT_CONTENT = ['pickle', 'json', 'msgpack', 'yaml']
Make sure you select only the serialization formats that you will actually be using,
and make sure you have properly secured your broker from unwanted access
(see the :ref:`guide-security` guide).
The worker will show a deprecation warning if you don't define this setting.
Old command-line programs removed and deprecated.
-------------------------------------------------
The goal is that everyone should move the new :program:`celery` umbrella
command, so with this version we deprecate the old command names,
and remove commands that are not used in init scripts.
+-------------------+--------------+-------------------------------------+
| Program | New Status | Replacement |
+===================+==============+=====================================+
| ``celeryd`` | *DEPRECATED* | :program:`celery worker` |
+-------------------+--------------+-------------------------------------+
| ``celerybeat`` | *DEPRECATED* | :program:`celery beat` |
+-------------------+--------------+-------------------------------------+
| ``celeryd-multi`` | *DEPRECATED* | :program:`celery multi` |
+-------------------+--------------+-------------------------------------+
| ``celeryctl`` | **REMOVED** | :program:`celery inspect|control` |
+-------------------+--------------+-------------------------------------+
| ``celeryev`` | **REMOVED** | :program:`celery events` |
+-------------------+--------------+-------------------------------------+
| ``camqadm`` | **REMOVED** | :program:`celery amqp` |
+-------------------+--------------+-------------------------------------+
Please see :program:`celery --help` for help using the umbrella command.
.. _v310-news:
News
====
Now supports Django out of the box.
-----------------------------------
The fixes and improvements applied by the django-celery library is now
automatically applied by core Celery when it detects that
the :envvar:`DJANGO_SETTINGS_MODULE` environment variable is set.
The distribution ships with a new example project using Django
in :file:`examples/django`:
http://github.com/celery/celery/tree/3.1/examples/django
Some features still require the :mod:`django-celery` library:
- Celery does not implement the Django database or cache result backends.
- Celery does not ship with the database-based periodic task
scheduler.
.. note::
If you are using django-celery then it is crucial that you have
``djcelery.setup_loader()`` in your settings module, as this
no longer happens as a side-effect of importing the :mod:`djcelery`
module.
Multiprocessing Pool improvements
---------------------------------
XXX TODO TODO BLABLABLABLA
:mod:`pytz` replaces ``python-dateutil`` dependency.
----------------------------------------------------
Celery no longer depends on the ``python-dateutil`` library,
but instead a new dependency on the :mod:`pytz` library was added.
The :mod:`pytz` library was already recommended for accurate timezone support.
This also means that dependencies are the same for both Python 2 and
Python 3, and that the :file:`requirements/default-py3k.txt` file has
been removed.
Bootsteps: Extending the worker
-------------------------------
By writing bootsteps you can now easily extend the consumer part
of the worker to add additional features, or even message consumers.
The worker has been using bootsteps for some time, but these were never
documented. In this version the consumer part of the worker
has also been rewritten to use bootsteps and the new :ref:`guide-extending`
guide documents examples extending the worker, including adding
custom message consumers.
See the :ref:`guide-extending` guide for more information.
.. note::
Bootsteps written for older versions will not be compatible
with this version, as the API has changed significantly.
The old API was experimental and internal so hopefully no one
is depending. Should you happen to be using it then please
contact the mailing-list and we will help you port to the new version.
New result backend with RPC semantics
-------------------------------------
This version of the ``amqp`` result backend is a very good alternative
to use in classical RPC scenarios, where the process that initiates
the task is always the process to retrieve the result.
It uses Kombu to send and retrieve results, and each client
will create a unique queue for replies to be sent to. Avoiding
the significant overhead of the original amqp backend which creates
one queue per task.
Results sent using this backend is not persistent, and so will
not survive a broker restart, but you can set
the :setting:`CELERY_RESULT_PERSISTENT` setting to change that.
.. code-block:: python
CELERY_RESULT_BACKEND = 'rpc'
Note that chords are currently not supported by the RPC backend.
Time limits can now be set by the client.
-----------------------------------------
You can set both hard and soft time limits using the ``time_limit`` and
``soft_time_limit`` calling options:
.. code-block:: python
>>> res = add.apply_async((2, 2), time_limit=10, soft_time_limit=8)
>>> res = add.subtask((2, 2), time_limit=10, soft_time_limit=8).delay()
>>> res = add.s(2, 2).set(time_limit=10, soft_time_limit=8).delay()
Contributed by Mher Movsisyan.
Redis: Separate broadcast messages by virtual host
---------------------------------------------------------------------------
Broadcast messages are seen by all virtual hosts when using the Redis
transport. You can fix this by enabling a prefix to all channels
so that the messages are separated by virtual host::
BROKER_TRANSPORT_OPTIONS = {'fanout_prefix': True}
Note that you will not be able to communicate with workers running older
versions or workers that does not have this setting enabled.
This setting will be the default in the future, so better to migrate
sooner rather than later.
Related to Issue #1490.
Events are now ordered using logical time.
------------------------------------------
Timestamps are not a reliable way to order events in a distributed system,
for one the floating point value does not have enough precision, but
also it's impossible to keep physical clocks in sync.
Celery event messages have included a logical clock value for some time,
but starting with this version that field is also used to order them
(that is if the monitor is using :mod:`celery.events.state`).
The logical clock is currently implemented using Lamport timestamps,
which does not have a high degree of accuracy, but should be good
enough to casually order the events.
Also, events now records timezone information for better timestamp
accuracy, where a new ``utcoffset`` field is included in the event.
This is a signed integer telling the difference from UTC time in hours,
so e.g. an even sent from the Europe/London timezone in daylight savings
time will have an offset of 1.
:class:`@events.Receiver` will automatically convert the timestamps
to the destination timezone.
.. note::
The logical clock is synchronized with other nodes
in the same cluster (neighbors), so this means that the logical
epoch will start at the point when the first worker in the cluster
starts.
If all of the workers are shutdown the clock value will be lost
and reset to 0, to protect against this you should specify
a :option:`--statedb` so that the worker can persist the clock
value at shutdown.
You may notice that the logical clock is an integer value and
increases very rapidly. Do not worry about the value overflowing
though, as even in the most busy clusters it may take several
millennia before the clock exceeds a 64 bits value.
New worker node name format (``name@host``).
-------------------------------------------------------------------------
Node names are now constructed by a node name and a hostname separated by '@'.
This change was made to more easily identify multiple instances running
on the same machine.
If a custom name is not specified then the
worker will use the name 'celery' by default, resulting in a
fully qualified node name of 'celery@hostname':
.. code-block:: bash
$ celery worker -n example.com
celery@example.com
To also set the name you must include the @:
.. code-block:: bash
$ celery worker -n worker1@example.com
worker1@example.com
The worker will identify itself using the fully qualified
node name in events and broadcast messages, so where before
a worker would identify as 'worker1.example.com', it will now
use 'celery@worker1.example.com'.
Remember that the ``-n`` argument also supports simple variable
substitutions, so if the current hostname is *jerry.example.com*
then ``%h`` will expand into that:
.. code-block:: bash
$ celery worker -n worker1@%h
worker1@jerry.example.com
The available substitutions are as follows:
+---------------+---------------------------------------+
| Variable | Substitution |
+===============+=======================================+
| ``%h`` | Full hostname (including domain name) |
+---------------+---------------------------------------+
| ``%d`` | Domain name only |
+---------------+---------------------------------------+
| ``%n`` | Hostname only (without domain name) |
+---------------+---------------------------------------+
| ``%%`` | The character ``%`` |
+---------------+---------------------------------------+
Bound tasks
-----------
The task decorator can now created "bound tasks", which means that the
task will receive the ``self`` argument.
.. code-block:: python
@app.task(bind=True)
def send_twitter_status(self, oauth, tweet):
try:
twitter = Twitter(oauth)
twitter.update_status(tweet)
except (Twitter.FailWhaleError, Twitter.LoginError) as exc:
raise self.retry(exc=exc)
Using *bound tasks* is now the recommended approach whenever
you need access to the current task or request context.
Previously one would have to refer to the name of the task
instead (``send_twitter_status.retry``), but this could lead to problems
in some instances where the registered task was no longer the same
object.
Gossip: Worker <-> Worker communication.
----------------------------------------
Workers now synchronizes revoked tasks with its neighbors.
This happens at startup and causes a one second startup delay
to collect broadcast responses from other workers.
Now supports Setuptools extra requirements.
-------------------------------------------
Pip now supports installing setuptools extra requirements
so we have deprecated the old bundles, replacing them with these
little creatures, which are more convenient since you can easily
specify multiple extras (e.g. ``pip install celery[redis,mongodb]``).
+-------------+-------------------------+---------------------------+
| Extension | Requirement entry | Type |
+=============+=========================+===========================+
| Redis | ``celery[redis]`` | transport, result backend |
+-------------+-------------------------+---------------------------+
| MongoDB`` | ``celery[mongodb]`` | transport, result backend |
+-------------+-------------------------+---------------------------+
| CouchDB | ``celery[couchdb]`` | transport |
+-------------+-------------------------+---------------------------+
| Beanstalk | ``celery[beanstalk]`` | transport |
+-------------+-------------------------+---------------------------+
| ZeroMQ | ``celery[zeromq]`` | transport |
+-------------+-------------------------+---------------------------+
| Zookeeper | ``celery[zookeeper]`` | transport |
+-------------+-------------------------+---------------------------+
| SQLAlchemy | ``celery[sqlalchemy]`` | transport, result backend |
+-------------+-------------------------+---------------------------+
| librabbitmq | ``celery[librabbitmq]`` | transport (C amqp client) |
+-------------+-------------------------+---------------------------+
There are more examples in the :ref:`bundles` section.
Calling a subtask will now execute the task directly
----------------------------------------------------
A misunderstanding led to ``Signature.__call__`` being an alias of
``.delay`` but this does not conform to the calling API of ``Task`` which
should call the underlying task method.
This means that:
.. code-block:: python
@app.task
def add(x, y):
return x + y
add.s(2, 2)()
now does the same as calling the task directly:
.. code-block:: python
add(2, 2)
In Other News
-------------
- Now depends on :ref:`Kombu 3.0 <kombu:version-3.0.0>`.
- Now depends on :mod:`billiard` version 3.3.
- Worker will now crash if running as the root user with pickle enabled.
- Canvas: ``group.apply_async`` and ``chain.apply_async`` no longer starts
separate task.
That the group and chord primitives supported the "calling API" like other
subtasks was a nice idea, but it was useless in practice, often confusing
users. If you still want this behavior you can create a task to do it
for you.
- New method ``Signature.freeze()`` can be used to "finalize"
signatures/subtask.
Regular signature:
.. code-block:: python
>>> s = add.s(2, 2)
>>> result = s.freeze()
>>> result
<AsyncResult: ffacf44b-f8a1-44e9-80a3-703150151ef2>
>>> s.delay()
<AsyncResult: ffacf44b-f8a1-44e9-80a3-703150151ef2>
Group:
.. code-block:: python
>>> g = group(add.s(2, 2), add.s(4, 4))
>>> result = g.freeze()
<GroupResult: e1094b1d-08fc-4e14-838e-6d601b99da6d [
70c0fb3d-b60e-4b22-8df7-aa25b9abc86d,
58fcd260-2e32-4308-a2ea-f5be4a24f7f4]>
>>> g()
<GroupResult: e1094b1d-08fc-4e14-838e-6d601b99da6d [70c0fb3d-b60e-4b22-8df7-aa25b9abc86d, 58fcd260-2e32-4308-a2ea-f5be4a24f7f4]>
- New ability to specify additional command line options
to the worker and beat programs.
The :attr:`@Celery.user_options` attribute can be used
to add additional command-line arguments, and expects
optparse-style options:
.. code-block:: python
from celery import Celery
from optparse import make_option as Option
app = Celery()
app.user_options['worker'].add(
Option('--my-argument'),
)
See the :ref:`guide-extending` guide for more information.
- All events now include a ``pid`` field, which is the process id of the
process that sent the event.
- Event heartbeats are now calculated based on the time when the event
was received by the monitor, and not the time reported by the worker.
This means that a worker with an out-of-sync clock will no longer
show as 'Offline' in monitors.
A warning is now emitted if the difference between the senders
time and the internal time is greater than 15 seconds, suggesting
that the clocks are out of sync.
- Many parts of the Celery codebase now uses a montonic clock.
The montonic clock function is built-in starting from Python 3.4,
but we also have fallback implementaions for Linux and OS X.
- :program:`celery worker` now supports a ``--detach`` argument to start
the worker as a daemon in the background.
- :class:`@events.Receiver` now sets a ``local_received`` field for incoming
events, which is set to the time of when the event was received.
- :class:`@events.Dispatcher` now accepts a ``groups`` argument
which decides a whitelist of event groups that will be sent.
The type of an event is a string separated by '-', where the part
before the first '-' is the group. Currently there are only
two groups: ``worker`` and ``task``.
A dispatcher instantiated as follows:
.. code-block:: python
app.events.Dispatcher(connection, groups=['worker'])
will only send worker related events and silently drop any attempts
to send events related to any other group.
- ``Result.revoke`` will no longer wait for replies.
You can add the ``reply=True`` argument if you really want to wait for
responses from the workers.
- Better support for link and link_error tasks for chords.
Contributed by Steeve Morin.
- There's a now an 'inspect clock' command which will collect the current
logical clock value from workers.
- `celery inspect stats` now contains the process id of the worker's main
process.
Contributed by Mher Movsisyan.
- New remote control command to dump a workers configuration.
Example:
.. code-block:: bash
$ celery inspect conf
Configuration values will be converted to values supported by JSON
where possible.
Contributed by Mher Movisyan.
- New settings :setting:`CELERY_EVENT_QUEUE_TTL` and
:setting:`CELERY_EVENT_QUEUE_EXPIRES`.
These control when a monitors event queue is deleted, and for how long
events published to that queue will be visible. Only supported on
RabbitMQ.
- New Couchbase result backend
This result backend enables you to store and retrieve task results
using `Couchbase`_.
See :ref:`conf-couchbase-result-backend` for more information
about configuring this result backend.
Contributed by Alain Masiero.
.. _`Couchbase`: http://www.couchbase.com
- CentOS init script now supports starting multiple worker instances.
See the script header for details.
Contributed by Jonathan Jordan.
- ``AsyncResult.iter_native`` now sets default interval parameter to 0.5
Fix contributed by Idan Kamara
- New setting :setting:`BROKER_LOGIN_METHOD`
This setting can be used to specify an alternate login method
for the AMQP transports.
Contributed by Adrien Guinet
- The ``dump_conf`` remote control command will now give the string
representation for types that are not JSON compatible.
- Function `celery.security.setup_security` is now :func:`celery.setup_security`.
- Message expires value is now forwarded at retry (Issue #980).
The value is forwarded at is, so the expiry time will not change.
To update the expiry time you would have to pass the expires
argument to ``retry()``.
- Worker now crashes if a channel error occurs.
Channel errors are transport specific and is the list of exceptions
returned by ``Connection.channel_errors``.
For RabbitMQ this means that Celery will crash if the equivalence
checks for one of the queues in :setting:`CELERY_QUEUES` mismatches, which
makes sense since this is a scenario where manual intervention is
required.
- Calling ``AsyncResult.get()`` on a chain now propagates errors for previous
tasks (Issue #1014).
- The parent attribute of ``AsyncResult`` is now reconstructed when using JSON
serialization (Issue #1014).
- Worker disconnection logs are now logged with severity warning instead of
error.
Contributed by Chris Adams.
- ``events.State`` no longer crashes when it receives unknown event types.
- SQLAlchemy Result Backend: New :setting:`CELERY_RESULT_DB_TABLENAMES`
setting can be used to change the name of the database tables used.
Contributed by Ryan Petrello.
- A stress test suite for the Celery worker has been written.
This is located in the ``funtests/stress`` directory in the git
repository. There's a README file there to get you started.
- The logger named ``celery.concurrency`` has been renamed to ``celery.pool``.
- New command line utility ``celery graph``
This utility creates graphs in GraphViz dot format.
You can create graphs from the currently installed bootsteps:
.. code-block:: bash
# Create graph of currently installed bootsteps in both the worker
# and consumer namespaces.
$ celery graph bootsteps | dot -T png -o steps.png
# Graph of the consumer namespace only.
$ celery graph bootsteps consumer | dot -T png -o consumer_only.png
# Graph of the worker namespace only.
$ celery graph bootsteps worker | dot -T png -o worker_only.png
Or graphs of workers in a cluster:
.. code-block:: bash
# Create graph from the current cluster
$ celery graph workers | dot -T png -o workers.png
# Create graph from a specified list of workers
$ celery graph workers nodes:w1,w2,w3 | dot -T png workers.png
# also specify the number of threads in each worker
$ celery graph workers nodes:w1,w2,w3 threads:2,4,6
# ...also specify the broker and backend URLs shown in the graph
$ celery graph workers broker:amqp:// backend:redis://
# ...also specify the max number of workers/threads shown (wmax/tmax),
# enumerating anything that exceeds that number.
$ celery graph workers wmax:10 tmax:3
- Changed the way that app instances are pickled
Apps can now define a ``__reduce_keys__`` method that is used instead
of the old ``AppPickler`` attribute. E.g. if your app defines a custom
'foo' attribute that needs to be preserved when pickling you can define
a ``__reduce_keys__`` as such:
.. code-block:: python
import celery
class Celery(celery.Celery):
def __init__(self, *args, **kwargs):
super(Celery, self).__init__(*args, **kwargs)
self.foo = kwargs.get('foo')
def __reduce_keys__(self):
return super(Celery, self).__reduce_keys__().update(
foo=self.foo,
)
This is a much more convenient way to add support for pickling custom
attributes. The old ``AppPickler`` is still supported but its use is
discouraged and we would like to remove it in a future version.
- Ability to trace imports for debugging purposes.
The :envvar:`C_IMPDEBUG` can be set to trace imports as they
occur:
.. code-block:: bash
$ C_IMDEBUG=1 celery worker -l info
.. code-block:: bash
$ C_IMPDEBUG=1 celery shell
- Message headers now available as part of the task request.
Example setting and retreiving a header value::
@app.task(bind=True)
def t(self):
return self.request.headers.get('sender')
>>> t.apply_async(headers={'sender': 'George Costanza'})
- :class:`@events.Receiver` is now a :class:`kombu.mixins.ConsumerMixin`
subclass.
- New :signal:`task_send`` signal dispatched before a task message
is sent and can be used to modify the final message fields (Issue #1281).
- ``celery.platforms.PIDFile`` renamed to :class:`celery.platforms.Pidfile`.
- ``celery.results.BaseDictBackend`` has been removed, replaced by
:class:``celery.results.BaseBackend``.
- MongoDB Backend: Can now be configured using an URL
See :ref:`example-mongodb-result-config`.
- MongoDB Backend: No longer using deprecated ``pymongo.Connection``.
- MongoDB Backend: Now disables ``auto_start_request``.
- MongoDB Backend: Now enables ``use_greenlets`` when eventlet/gevent is used.
- ``subtask()`` / ``maybe_subtask()`` renamed to
``signature()``/``maybe_signature()``.
Aliases still available for backwards compatibility.
- The ``correlation_id`` message property is now automatically set to the
id of the task.
- The task message ``eta`` and ``expires`` fields now includes timezone
information.
- All result backends ``store_result``/``mark_as_*`` methods must now accept
a ``request`` keyword argument.
- Events now emit warning if the broken ``yajl`` library is used.
- The :signal:`celeryd_init` signal now takes an extra keyword argument:
``option``.
This is the mapping of parsed command line arguments, and can be used to
prepare new preload arguments (``app.user_options['preload']``).
- New callback: ``Celery.on_configure``.
This callback is called when an app is about to be configured (a
configuration key is required).
- Eventlet/gevent/solo/threads pools now properly handles BaseException errors
raised by tasks.
- Worker: No longer forks on :sig:`HUP`
This means that the worker will reuse the same pid, which makes it
easier for process supervisors.
Contributed by Jameel Al-Aziz.
- Optimization: Improved performance of ``ResultSet.join_native()``.
Contributed by Stas Rudakou.
- The :signal:`task_revoked` signal now accepts new ``request`` argument
(Issue #1555).
The revoked signal is dispatched after the task request is removed from
the stack, so it must instead use the :class:`~celery.worker.job.Request`
object to get information about the task.
- Worker: New :option:`-X` command line argument to exclude queues
(Issue #1399).
The :option:`-X` argument is the inverse of the :option:`-Q` argument
and accepts a list of queues to exclude (not consume from):
.. code-block:: bash
# Consume from all queues in CELERY_QUEUES, but not the 'foo' queue.
$ celery worker -A proj -l info -X foo
- Adds :envvar:`C_FAKEFORK` envvar for simple init script/multi debugging
This means that you can now do:
.. code-block:: bash
$ C_FAKEFORK=1 celery multi start 10
or:
.. code-block:: bash
$ C_FAKEFORK=1 /etc/init.d/celeryd start
to avoid the daemonization step to see errors that are not visible
due to missing stdout/stderr.
A ``dryrun`` command has been added to the generic init script that
enables this option.
- New public API to push and pop from the current task stack:
:func:`celery.app.push_current_task` and
:func:`celery.app.pop_current_task``.
- ``RetryTaskError`` has been renamed to :exc:`~celery.exceptions.Retry`.
The old name is still available for backwards compatibility.
- New semi-predicate exception :exc:`~celery.exceptions.Reject`
This exception can be raised to reject/requeue the task message,
see :ref:`task-semipred-reject` for examples.
- :ref:`Semipredicates <task-semipredicates>` documented: (Retry/Ignore/Reject).
.. _v310-experimental:
Experimental
============
XXX
---
YYY
.. _v310-removals:
Scheduled Removals
==================
- The ``BROKER_INSIST`` setting is no longer supported.
- The ``CELERY_AMQP_TASK_RESULT_CONNECTION_MAX`` setting is no longer
supported.
Use :setting:`BROKER_POOL_LIMIT` instead.
- The ``CELERY_TASK_ERROR_WHITELIST`` setting is no longer supported.
You should set the :class:`~celery.utils.mail.ErrorMail` attribute
of the task class instead. You can also do this using
:setting:`CELERY_ANNOTATIONS`:
.. code-block:: python
from celery import Celery
from celery.utils.mail import ErrorMail
class MyErrorMail(ErrorMail):
whitelist = (KeyError, ImportError)
def should_send(self, context, exc):
return isinstance(exc, self.whitelist)
app = Celery()
app.conf.CELERY_ANNOTATIONS = {
'*': {
'ErrorMail': MyErrorMails,
}
}
- Functions that creates a broker connections no longer
supports the ``connect_timeout`` argument.
This can now only be set using the :setting:`BROKER_CONNECTION_TIMEOUT`
setting. This is because functions no longer create connections
directly, but instead get them from the connection pool.
- The ``CELERY_AMQP_TASK_RESULT_EXPIRES`` setting is no longer supported.
Use :setting:`CELERY_TASK_RESULT_EXPIRES` instead.
.. _v310-deprecations:
Deprecations
============
See the :ref:`deprecation-timeline`.
.. _v310-fixes:
Fixes
=====
- AMQP Backend: join did not convert exceptions when using the json
serializer.
- Worker: Workaround for unicode errors in logs (Issue #427)
- Task methods: ``.apply_async`` now works properly if args list is None
(Issue #1459).
- Autoscale and ``pool_grow``/``pool_shrink`` remote control commands
will now also automatically increase and decrease the consumer prefetch count.
Fix contributed by Daniel M. Taub.
- ``celery control pool_`` commands did not coerce string arguments to int.
- Redis/Cache chords: Callback result is now set to failure if the group
disappeared from the database (Issue #1094).
- Worker: Now makes sure that the shutdown process is not initiated multiple
times.
- Multi: Now properly handles both ``-f`` and ``--logfile`` options
(Issue #1541).
.. _v310-internal:
Internal changes
================
- Module ``celery.task.trace`` has been renamed to :mod:`celery.app.trace`.
- Module ``celery.concurrency.processes`` has been renamed to
:mod:`celery.concurrency.prefork`.
- Classes that no longer fall back to using the default app:
- Result backends (:class:`celery.backends.base.BaseBackend`)
- :class:`celery.worker.WorkController`
- :class:`celery.worker.Consumer`
- :class:`celery.worker.job.Request`
This means that you have to pass a specific app when instantiating
these classes.
- ``EventDispatcher.copy_buffer`` renamed to ``EventDispatcher.extend_buffer``
- Removed unused and never documented global instance
``celery.events.state.state``.
- :class:`celery.apps.worker.Worker` has been refactored as a subclass of
:class:`celery.worker.WorkController`.
This removes a lot of duplicate functionality.
- The ``Celery.with_default_connection`` method has been removed in favor
of ``with app.connection_or_acquire``.