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| .. _whatsnew-4.0:=========================================== What's new in Celery 4.0 (latentcall)===========================================:Author: Ask Solem (``ask at celeryproject.org``).. sidebar:: Change history    What's new documents describe 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 toprocess vast amounts of messages, while providing operations withthe tools required to maintain such a system.It's a task queue with focus on real-time processing, while alsosupporting 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 versionsit's important that you read the following section.This version is officially supported on CPython 2.7, 3.4, and 3.5.and also supported on PyPy... _`website`: http://celeryproject.org/.. topic:: Table of Contents    Make sure you read the important notes before upgrading to this version... contents::    :local:    :depth: 3Preface=======Welcome to Celery 4!This is a massive release with over two years of changes.Not only does it come with many new features, but it also fixesa massive list of bugs, so in many ways you could call itour "Snow Leopard" release.The next major version of Celery will support Python 3.5 only, wherewe are planning to take advantage of the new asyncio library.This release would not have been possible without the supportof my employer, `Robinhood`_ (we're hiring!).- Ask SolemDedicated to Sebastian "Zeb" Bjørnerud (RIP),with special thanks to `Ty Wilkins`_, for designing our new logo,all the contributors who help make this happen, and my colleaguesat `Robinhood`_... _`Ty Wilkins`: http://tywilkins.com.. _`Robinhood`: https://robinhood.comWall of Contributors--------------------Aaron McMillin, Adam Chainz, Adam Renberg, Adriano Martins de Jesus,Adrien Guinet, Ahmet Demir, Aitor Gómez-Goiri, Alan Justino,Albert Wang, Alex Koshelev, Alex Rattray, Alex Williams, Alexander Koshelev,Alexander Lebedev, Alexander Oblovatniy, Alexey Kotlyarov, Ali Bozorgkhan,Alice Zoë Bevan–McGregor, Allard Hoeve, Alman One, Amir Rustamzadeh,Andrea Rabbaglietti, Andrea Rosa, Andrei Fokau, Andrew Rodionoff,Andrew Stewart, Andriy Yurchuk, Aneil Mallavarapu, Areski Belaid,Armenak Baburyan, Arthur Vuillard, Artyom Koval, Asif Saifuddin Auvi,Ask Solem, Balthazar Rouberol, Batiste Bieler, Berker Peksag,Bert Vanderbauwhede, Brendan Smithyman, Brian Bouterse, Bryce Groff,Cameron Will, ChangBo Guo, Chris Clark, Chris Duryee, Chris Erway,Chris Harris, Chris Martin, Chillar Anand, Colin McIntosh, Conrad Kramer,Corey Farwell, Craig Jellick, Cullen Rhodes, Dallas Marlow, Daniel Devine,Daniel Wallace, Danilo Bargen, Davanum Srinivas, Dave Smith, David Baumgold,David Harrigan, David Pravec, Dennis Brakhane, Derek Anderson,Dmitry Dygalo, Dmitry Malinovsky, Dongweiming, Dudás Ádám,Dustin J. Mitchell, Ed Morley, Edward Betts, Éloi Rivard, Emmanuel Cazenave,Fahad Siddiqui, Fatih Sucu, Feanil Patel, Federico Ficarelli, Felix Schwarz,Felix Yan, Fernando Rocha, Flavio Grossi, Frantisek Holop, Gao Jiangmiao,George Whewell, Gerald Manipon, Gilles Dartiguelongue, Gino Ledesma, Greg Wilbur,Guillaume Seguin, Hank John, Hogni Gylfason, Ilya Georgievsky,Ionel Cristian Mărieș, Ivan Larin, James Pulec, Jared Lewis, Jason Veatch,Jasper Bryant-Greene, Jeff Widman, Jeremy Tillman, Jeremy Zafran,Jocelyn Delalande, Joe Jevnik, Joe Sanford, John Anderson, John Barham,John Kirkham, John Whitlock, Jonathan Vanasco, Joshua Harlow, João Ricardo,Juan Carlos Ferrer, Juan Rossi, Justin Patrin, Kai Groner, Kevin Harvey,Kevin Richardson, Komu Wairagu, Konstantinos Koukopoulos, Kouhei Maeda,Kracekumar Ramaraju, Krzysztof Bujniewicz, Latitia M. Haskins, Len Buckens,Lev Berman, lidongming, Lorenzo Mancini, Lucas Wiman, Luke Pomfrey,Luyun Xie, Maciej Obuchowski, Manuel Kaufmann, Marat Sharafutdinov,Marc Sibson, Marcio Ribeiro, Marin Atanasov Nikolov, Mathieu Fenniak,Mark Parncutt, Mauro Rocco, Maxime Beauchemin, Maxime Vdb, Mher Movsisyan,Michael Aquilina, Michael Duane Mooring, Michael Permana, Mickaël Penhard,Mike Attwood, Mitchel Humpherys, Mohamed Abouelsaoud, Morris Tweed, Morton Fox,Môshe van der Sterre, Nat Williams, Nathan Van Gheem, Nicolas Unravel,Nik Nyby, Omer Katz, Omer Korner, Ori Hoch, Paul Pearce, Paulo Bu,Pavlo Kapyshin, Philip Garnero, Pierre Fersing, Piotr Kilczuk,Piotr Maślanka, Quentin Pradet, Radek Czajka, Raghuram Srinivasan,Randy Barlow, Raphael Michel, Rémy Léone, Robert Coup, Robert Kolba,Rockallite Wulf, Rodolfo Carvalho, Roger Hu, Romuald Brunet, Rongze Zhu,Ross Deane, Ryan Luckie, Rémy Greinhofer, Samuel Giffard, Samuel Jaillet,Sergey Azovskov, Sergey Tikhonov, Seungha Kim, Simon Peeters,Spencer E. Olson, Srinivas Garlapati, Stephen Milner, Steve Peak, Steven Sklar,Stuart Axon, Sukrit Khera, Tadej Janež, Taha Jahangir, Takeshi Kanemoto,Tayfun Sen, Tewfik Sadaoui, Thomas French, Thomas Grainger, Tomas Machalek,Tobias Schottdorf, Tocho Tochev, Valentyn Klindukh, Vic Kumar,Vladimir Bolshakov, Vladimir Gorbunov, Wayne Chang, Wieland Hoffmann,Wido den Hollander, Wil Langford, Will Thompson, William King, Yury Selivanov,Vytis Banaitis, Zoran Pavlovic, Xin Li, 許邱翔, :github_user:`allenling`,:github_user:`alzeih`, :github_user:`bastb`, :github_user:`bee-keeper`,:github_user:`ffeast`, :github_user:`firefly4268`,:github_user:`flyingfoxlee`, :github_user:`gdw2`, :github_user:`gitaarik`,:github_user:`hankjin`, :github_user:`lvh`, :github_user:`m-vdb`,:github_user:`kindule`, :github_user:`mdk`:, :github_user:`michael-k`,:github_user:`mozillazg`, :github_user:`nokrik`, :github_user:`ocean1`,:github_user:`orlo666`, :github_user:`raducc`, :github_user:`wanglei`,:github_user:`worldexception`, :github_user:`xBeAsTx`... note::    This wall was automatically generated from git history,    so sadly it doesn't not include the people who help with more important    things like answering mailing-list questions.Upgrading from Celery 3.1=========================Step 1: Upgrade to Celery 3.1.25--------------------------------If you haven't already, the first step is to upgrade to Celery 3.1.25.This version adds forward compatibility to the new message protocol,so that you can incrementally upgrade from 3.1 to 4.0.Deploy the workers first by upgrading to 3.1.25, this means theseworkers can process messages sent by clients using both 3.1 and 4.0.After the workers are upgraded you can upgrade the clients (e.g. web servers).Step 2: Update your configuration with the new setting names------------------------------------------------------------This version radically changes the configuration setting names,to be more consistent.The changes are fully backwards compatible, so you have the option to waituntil the old setting names are deprecated, but to ease the transitionwe have included a command-line utility that rewrites your settingsautomatically.See :ref:`v400-upgrade-settings` for more information.Step 3: Read the important notes in this document-------------------------------------------------Make sure you are not affected by any of the important upgrade notesmentioned in the following section.An especially important note is that Celery now checks the argumentsyou send to a task by matching it to the signature (:ref:`v400-typing`).Step 4: Upgrade to Celery 4.0-----------------------------At this point you can upgrade your workers and clients with the new version... _v400-important:Important Notes===============Dropped support for Python 2.6------------------------------Celery now requires Python 2.7 or later,and also drops support for Python 3.3 so supported versions are:- CPython 2.7- CPython 3.4- CPython 3.5- PyPy 5.4 (``pypy2``)- PyPy 5.5-alpha (``pypy3``)Last major version to support Python 2--------------------------------------Starting from Celery 5.0 only Python 3.5+ will be supported.To make sure you're not affected by this change you should pinthe Celery version in your requirements file, either to a specificversion: ``celery==4.0.0``, or a range: ``celery>=4.0,<5.0``.Dropping support for Python 2 will enable us to remove massiveamounts of compatibility code, and going with Python 3.5 allowsus to take advantage of typing, async/await, asyncio, and similarconcepts there's no alternative for in older versions.Celery 4.x will continue to work on Python 2.7, 3.4, 3.5; just as Celery 3.xstill works on Python 2.6.Django support--------------Celery 4.x requires Django 1.8 or later, but we really recommendusing at least Django 1.9 for the new ``transaction.on_commit`` feature.A common problem when calling tasks from Django is when the task is relatedto a model change, and you wish to cancel the task if the transaction isrolled back, or ensure the task is only executed after the changes have beenwritten to the database.``transaction.atomic`` enables you to solve this problem by addingthe task as a callback to be called only when the transaction is committed.Example usage:.. code-block:: python    from functools import partial    from django.db import transaction    from .models import Article, Log    from .tasks import send_article_created_notification    def create_article(request):        with transaction.atomic():            article = Article.objects.create(**request.POST)            # send this task only if the rest of the transaction succeeds.            transaction.on_commit(partial(                send_article_created_notification.delay, article_id=article.pk))            Log.objects.create(type=Log.ARTICLE_CREATED, object_pk=article.pk)Removed features----------------- Microsoft Windows is no longer supported.  The test suite is passing, and Celery seems to be working with Windows,  but we make no guarantees as we are unable to diagnose issues on this  platform.  If you are a company requiring support on this platform,  please get in touch.- Jython is no longer supported.Features removed for simplicity~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~- Webhook task machinery (``celery.task.http``) has been removed.    Nowadays it's easy to use the :pypi:`requests` module to write    webhook tasks manually. We would love to use requests but we    are simply unable to as there's a very vocal 'anti-dependency'    mob in the Python community    If you need backwards compatibility    you can simply copy + paste the 3.1 version of the module and make sure    it's imported by the worker:    https://github.com/celery/celery/blob/3.1/celery/task/http.py- Tasks no longer sends error emails.    This also removes support for ``app.mail_admins``, and any functionality    related to sending emails.- ``celery.contrib.batches`` has been removed.    This was an experimental feature, so not covered by our deprecation    timeline guarantee.    You can copy and pase the existing batches code for use within your projects:    https://github.com/celery/celery/blob/3.1/celery/contrib/batches.pyFeatures removed for lack of funding~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~We announced with the 3.1 release that some transports weremoved to experimental status, and that there'd be no officialsupport for the transports.As this subtle hint for the need of funding failedwe've removed them completely, breaking backwards compatibility.- Using the Django ORM as a broker is no longer supported.    You can still use the Django ORM as a result backend:    see :ref:`django-celery-results` section for more information.- Using SQLAlchemy as a broker is no longer supported.    You can still use SQLAlchemy as a result backend.- Using CouchDB as a broker is no longer supported.    You can still use CouchDB as a result backend.- Using IronMQ as a broker is no longer supported.- Using Beanstalk as a broker is no longer supported.In addition some features have been removed completely so thatattempting to use them will raise an exception:- The ``--autoreload`` feature has been removed.  This was an experimental feature, and not covered by our deprecation  timeline guarantee. The flag is removed completely so the worker  will crash at startup when present. Luckily this  flag isn't used in production systems.- The experimental ``threads`` pool is no longer supported and has been removed.- The ``force_execv`` feature is no longer supported.    The ``celery worker`` command now ignores the ``--no-execv``,    ``--force-execv``, and the ``CELERYD_FORCE_EXECV`` setting.    This flag will be removed completely in 5.0 and the worker    will raise an error.- The old legacy "amqp" result backend has been deprecated, and will  be removed in Celery 5.0.    Please use the ``rpc`` result backend for RPC-style calls, and a    persistent result backend for multi-consumer results.We think most of these can be fixed without considerable effort, so if you'reinterested in getting any of these features back, please get in touch.**Now to the good news**...New Task Message Protocol-------------------------.. :sha:`e71652d384b1b5df2a4e6145df9f0efb456bc71c`This version introduces a brand new task message protocol,the first major change to the protocol since the beginning of the project.The new protocol is enabled by default in this version and since the newversion isn't backwards compatible you have to be careful when upgrading.The 3.1.25 version was released to add compatibility with the new protocolso the easiest way to upgrade is to upgrade to that version first, thenupgrade to 4.0 in a second deployment.If you wish to keep using the old protocol you may also configurethe protocol version number used:.. code-block:: python    app = Celery()    app.conf.task_protocol = 1Read more about the features available in the new protocol in the newssection found later in this document... _v400-upgrade-settings:Lowercase setting names-----------------------In the pursuit of beauty all settings are now renamed to be in alllowercase and some setting names have been renamed for consistency.This change is fully backwards compatible so you can still use the uppercasesetting names, but we would like you to upgrade as soon as possible andyou can do this automatically using the :program:`celery upgrade settings`command:.. code-block:: console    $ celery upgrade settings proj/settings.pyThis command will modify your module in-place to use the new lower-casenames (if you want uppercase with a "``CELERY``" prefix see block below),and save a backup in :file:`proj/settings.py.orig`... admonition:: For Django users and others who want to keep uppercase names    If you're loading Celery configuration from the Django settings module    then you'll want to keep using the uppercase names.    You also want to use a ``CELERY_`` prefix so that no Celery settings    collide with Django settings used by other apps.    To do this, you'll first need to convert your settings file    to use the new consistent naming scheme, and add the prefix to all    Celery related settings:    .. code-block:: console        $ celery upgrade settings proj/settings.py --django    After upgrading the settings file, you need to set the prefix explicitly    in your ``proj/celery.py`` module:    .. code-block:: python        app.config_from_object('django.conf:settings', namespace='CELERY')    You can find the most up to date Django Celery integration example    here: :ref:`django-first-steps`.    .. note::        This will also add a prefix to settings that didn't previously        have one, for example ``BROKER_URL`` should be written        ``CELERY_BROKER_URL`` with a namespace of ``CELERY``        ``CELERY_BROKER_URL``.    Luckily you don't have to manually change the files, as    the :program:`celery upgrade settings --django` program should do the    right thing.The loader will try to detect if your configuration is using the new format,and act accordingly, but this also means you're not allowed to mix andmatch new and old setting names, that's unless you provide a value for bothalternatives.The major difference between previous versions, apart from the lower casenames, are the renaming of some prefixes, like ``celerybeat_`` to ``beat_``,``celeryd_`` to ``worker_``.The ``celery_`` prefix has also been removed, and task related settingsfrom this name-space is now prefixed by ``task_``, worker related settingswith ``worker_``.Apart from this most of the settings will be the same in lowercase, apart froma few special ones:=====================================  ==========================================================**Setting name**                       **Replace with**=====================================  ==========================================================``CELERY_MAX_CACHED_RESULTS``          :setting:`result_cache_max```CELERY_MESSAGE_COMPRESSION``         :setting:`result_compression`/:setting:`task_compression`.``CELERY_TASK_RESULT_EXPIRES``         :setting:`result_expires```CELERY_RESULT_DBURI``                :setting:`result_backend```CELERY_RESULT_ENGINE_OPTIONS``       :setting:`database_engine_options```-*-_DB_SHORT_LIVED_SESSIONS``        :setting:`database_short_lived_sessions```CELERY_RESULT_DB_TABLE_NAMES``       :setting:`database_db_names```CELERY_ACKS_LATE``                   :setting:`task_acks_late```CELERY_ALWAYS_EAGER``                :setting:`task_always_eager```CELERY_ANNOTATIONS``                 :setting:`task_annotations```CELERY_MESSAGE_COMPRESSION``         :setting:`task_compression```CELERY_CREATE_MISSING_QUEUES``       :setting:`task_create_missing_queues```CELERY_DEFAULT_DELIVERY_MODE``       :setting:`task_default_delivery_mode```CELERY_DEFAULT_EXCHANGE``            :setting:`task_default_exchange```CELERY_DEFAULT_EXCHANGE_TYPE``       :setting:`task_default_exchange_type```CELERY_DEFAULT_QUEUE``               :setting:`task_default_queue```CELERY_DEFAULT_RATE_LIMIT``          :setting:`task_default_rate_limit```CELERY_DEFAULT_ROUTING_KEY``         :setting:`task_default_routing_key```-"-_EAGER_PROPAGATES_EXCEPTIONS``    :setting:`task_eager_propagates```CELERY_IGNORE_RESULT``               :setting:`task_ignore_result```CELERY_TASK_PUBLISH_RETRY``          :setting:`task_publish_retry```CELERY_TASK_PUBLISH_RETRY_POLICY``   :setting:`task_publish_retry_policy```CELERY_QUEUES``                      :setting:`task_queues```CELERY_ROUTES``                      :setting:`task_routes```CELERY_SEND_TASK_SENT_EVENT``        :setting:`task_send_sent_event```CELERY_TASK_SERIALIZER``             :setting:`task_serializer```CELERYD_TASK_SOFT_TIME_LIMIT``       :setting:`task_soft_time_limit```CELERYD_TASK_TIME_LIMIT``            :setting:`task_time_limit```CELERY_TRACK_STARTED``               :setting:`task_track_started```CELERY_DISABLE_RATE_LIMITS``         :setting:`worker_disable_rate_limits```CELERY_ENABLE_REMOTE_CONTROL``       :setting:`worker_enable_remote_control```CELERYD_SEND_EVENTS``                :setting:`worker_send_task_events`=====================================  ==========================================================You can see a full table of the changes in :ref:`conf-old-settings-map`.Json is now the default serializer----------------------------------The time has finally come to end the reign of :mod:`pickle` as the defaultserialization mechanism, and json is the default serializer starting from thisversion.This change was :ref:`announced with the release of Celery 3.1<last-version-to-enable-pickle>`.If you're still depending on :mod:`pickle` being the default serializer,then you have to configure your app before upgrading to 4.0:.. code-block:: python    task_serializer = 'pickle'    result_serializer = 'pickle'    accept_content = {'pickle'}The Json serializer now also supports some additional types:- :class:`~datetime.datetime`, :class:`~datetime.time`, :class:`~datetime.date`    Converted to json text, in ISO-8601 format.- :class:`~decimal.Decimal`    Converted to json text.- :class:`django.utils.functional.Promise`    Django only: Lazy strings used for translation etc., are evaluated    and conversion to a json type is attempted.- :class:`uuid.UUID`    Converted to json text.You can also define a ``__json__`` method on your custom classes to supportJSON serialization (must return a json compatible type):.. code-block:: python    class Person:        first_name = None        last_name = None        address = None        def __json__(self):            return {                'first_name': self.first_name,                'last_name': self.last_name,                'address': self.address,            }The Task base class no longer automatically register tasks----------------------------------------------------------The :class:`~@Task` class is no longer using a special meta-classthat automatically registers the task in the task registry.Instead this is now handled by the :class:`@task` decorators.If you're still using class based tasks, then you need to registerthese manually:.. code-block:: python    class CustomTask(Task):        def run(self):            print('running')    app.register_task(CustomTask())The best practice is to use custom task classes only for overridinggeneral behavior, and then using the task decorator to realize the task:.. code-block:: python    @app.task(bind=True, base=CustomTask)    def custom(self):        print('running')This change also means that the ``abstract`` attribute of the taskno longer has any effect... _v400-typing:Task argument checking----------------------The arguments of the task are now verified when calling the task,even asynchronously:.. code-block:: pycon    >>> @app.task    ... def add(x, y):    ...     return x + y    >>> add.delay(8, 8)    <AsyncResult: f59d71ca-1549-43e0-be41-4e8821a83c0c>    >>> add.delay(8)    Traceback (most recent call last):      File "<stdin>", line 1, in <module>      File "celery/app/task.py", line 376, in delay        return self.apply_async(args, kwargs)      File "celery/app/task.py", line 485, in apply_async        check_arguments(*(args or ()), **(kwargs or {}))    TypeError: add() takes exactly 2 arguments (1 given)You can disable the argument checking for any task by setting its:attr:`~@Task.typing` attribute to :const:`False`:.. code-block:: pycon    >>> @app.task(typing=False)    ... def add(x, y):    ...     return x + yOr if you would like to disable this completely for all tasksyou can pass ``strict_typing=False`` when creating the app:.. code-block:: python    app = Celery(..., strict_typing=False)Redis Events not backward compatible------------------------------------The Redis ``fanout_patterns`` and ``fanout_prefix`` transportoptions are now enabled by default.Workers/monitors without these flags enabled won't be able tosee workers with this flag disabled. They can still execute tasks,but they cannot receive each others monitoring messages.You can upgrade in a backward compatible manner by first configuringyour 3.1 workers and monitors to enable the settings, before the finalupgrade to 4.0:.. code-block:: python    BROKER_TRANSPORT_OPTIONS = {        'fanout_patterns': True,        'fanout_prefix': True,    }Redis Priorities Reversed-------------------------Priority 0 is now lowest, 9 is highest.This change was made to make priority support consistent with howit works in AMQP.Contributed by **Alex Koshelev**.Django: Auto-discover now supports Django app configurations------------------------------------------------------------The ``autodiscover_tasks()`` function can now be called without arguments,and the Django handler will automatically find your installed apps:.. code-block:: python    app.autodiscover_tasks()The Django integration :ref:`example in the documentation<django-first-steps>` has been updated to use the argument-less call.This also ensures compatibility with the new, ehm, ``AppConfig`` stuffintroduced in recent Django versions.Worker direct queues no longer use auto-delete----------------------------------------------Workers/clients running 4.0 will no longer be able to sendworker direct messages to workers running older versions, and vice versa.If you're relying on worker direct messages you should upgradeyour 3.x workers and clients to use the new routing settings first,by replacing :func:`celery.utils.worker_direct` with this implementation:.. code-block:: python    from kombu import Exchange, Queue    worker_direct_exchange = Exchange('C.dq2')    def worker_direct(hostname):        return Queue(            '{hostname}.dq2'.format(hostname),            exchange=worker_direct_exchange,            routing_key=hostname,        )This feature closed Issue #2492.Old command-line programs removed---------------------------------Installing Celery will no longer install the ``celeryd``,``celerybeat`` and ``celeryd-multi`` programs.This was announced with the release of Celery 3.1, but you may stillhave scripts pointing to the old names, so make sure you update theseto use the new umbrella command:+-------------------+--------------+-------------------------------------+| Program           | New Status   | Replacement                         |+===================+==============+=====================================+| ``celeryd``       | **REMOVED**  | :program:`celery worker`            |+-------------------+--------------+-------------------------------------+| ``celerybeat``    | **REMOVED**  | :program:`celery beat`              |+-------------------+--------------+-------------------------------------+| ``celeryd-multi`` | **REMOVED**  | :program:`celery multi`             |+-------------------+--------------+-------------------------------------+.. _v400-news:News====New protocol highlights-----------------------The new protocol fixes many problems with the old one, and enablessome long-requested features:- Most of the data are now sent as message headers, instead of being  serialized with the message body.    In version 1 of the protocol the worker always had to deserialize    the message to be able to read task meta-data like the task id,    name, etc. This also meant that the worker was forced to double-decode    the data, first deserializing the message on receipt, serializing    the message again to send to child process, then finally the child process    deserializes the message again.    Keeping the meta-data fields in the message headers means the worker    doesn't actually have to decode the payload before delivering    the task to the child process, and also that it's now possible    for the worker to reroute a task written in a language different    from Python to a different worker.- A new ``lang`` message header can be used to specify the programming  language the task is written in.- Worker stores results for internal errors like ``ContentDisallowed``,  and other deserialization errors.- Worker stores results and sends monitoring events for unregistered  task errors.- Worker calls callbacks/errbacks even when the result is sent by the  parent process (e.g., :exc:`WorkerLostError` when a child process  terminates, deserialization errors, unregistered tasks).- A new ``origin`` header contains information about the process sending  the task (worker node-name, or PID and host-name information).- A new ``shadow`` header allows you to modify the task name used in logs.    This is useful for dispatch like patterns, like a task that calls    any function using pickle (don't do this at home):    .. code-block:: python        from celery import Task        from celery.utils.imports import qualname        class call_as_task(Task):            def shadow_name(self, args, kwargs, options):                return 'call_as_task:{0}'.format(qualname(args[0]))            def run(self, fun, *args, **kwargs):                return fun(*args, **kwargs)        call_as_task = app.register_task(call_as_task())- New ``argsrepr`` and ``kwargsrepr`` fields contain textual representations  of the task arguments (possibly truncated) for use in logs, monitors, etc.    This means the worker doesn't have to deserialize the message payload    to display the task arguments for informational purposes.- Chains now use a dedicated ``chain`` field enabling support for chains  of thousands and more tasks.- New ``parent_id`` and ``root_id`` headers adds information about  a tasks relationship with other tasks.    - ``parent_id`` is the task id of the task that called this task    - ``root_id`` is the first task in the work-flow.    These fields can be used to improve monitors like flower to group    related messages together (like chains, groups, chords, complete    work-flows, etc).- ``app.TaskProducer`` replaced by :meth:`@amqp.create_task_message` and  :meth:`@amqp.send_task_message`.    Dividing the responsibilities into creating and sending means that    people who want to send messages using a Python AMQP client directly,    don't have to implement the protocol.    The :meth:`@amqp.create_task_message` method calls either    :meth:`@amqp.as_task_v2`, or :meth:`@amqp.as_task_v1` depending    on the configured task protocol, and returns a special    :class:`~celery.app.amqp.task_message` tuple containing the    headers, properties and body of the task message... seealso::    The new task protocol is documented in full here:    :ref:`message-protocol-task-v2`.Prefork Pool Improvements-------------------------Tasks now log from the child process~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Logging of task success/failure now happens from the child processexecuting the task.  As a result logging utilities,like Sentry can get full information about tasks, includingvariables in the traceback stack.``-Ofair`` is now the default scheduling strategy~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~To re-enable the default behavior in 3.1 use the ``-Ofast`` command-lineoption.There's been lots of confusion about what the ``-Ofair`` command-line optiondoes, and using the term "prefetch" in explanations have probably not helpedgiven how confusing this terminology is in AMQP.When a Celery worker using the prefork pool receives a task, it needs todelegate that task to a child process for execution.The prefork pool has a configurable number of child processes(``--concurrency``) that can be used to execute tasks, and each child processuses pipes/sockets to communicate with the parent process:- inqueue (pipe/socket): parent sends task to the child process- outqueue (pipe/socket): child sends result/return value to the parent.In Celery 3.1 the default scheduling mechanism was simply to sendthe task to the first ``inqueue`` that was writable, with some heuristicsto make sure we round-robin between them to ensure each child processwould receive the same amount of tasks.This means that in the default scheduling strategy, a worker may sendtasks to the same child process that is already executing a task.  If thattask is long running, it may block the waiting task for a long time.  Evenworse, hundreds of short-running tasks may be stuck behind a long running taskeven when there are child processes free to do work.The ``-Ofair`` scheduling strategy was added to avoid this situation,and when enabled it adds the rule that no task should be sent to the a childprocess that is already executing a task.The fair scheduling strategy may perform slightly worse if you have onlyshort running tasks.Limit child process resident memory size~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.. :sha:`5cae0e754128750a893524dcba4ae030c414de33`You can now limit the maximum amount of memory allocated per preforkpool child process by setting the worker:option:`--max-memory-per-child <celery worker --max-memory-per-child>` option,or the :setting:`worker_max_memory_per_child` setting.The limit is for RSS/resident memory size and is specified in kilobytes.A child process having exceeded the limit will be terminated and replacedwith a new process after the currently executing task returns.See :ref:`worker-max-memory-per-child` for more information.Contributed by **Dave Smith**.One log-file per child process~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Init-scrips and :program:`celery multi` now uses the `%I` log file formatoption (e.g., :file:`/var/log/celery/%n%I.log`).This change was necessary to ensure each childprocess has a separate log file after moving task loggingto the child process, as multiple processes writing to the samelog file can cause corruption.You're encouraged to upgrade your init-scripts and:program:`celery multi` arguments to use this new option.Transports----------RabbitMQ priority queue support~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~See :ref:`routing-options-rabbitmq-priorities` for more information.Contributed by **Gerald Manipon**.Configure broker URL for read/write separately~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~New :setting:`broker_read_url` and :setting:`broker_write_url` settingshave been added so that separate broker URLs can be providedfor connections used for consuming/publishing.In addition to the configuration options, two new methods have beenadded the app API:    - ``app.connection_for_read()``    - ``app.connection_for_write()``These should now be used in place of ``app.connection()`` to specifythe intent of the required connection... note::    Two connection pools are available: ``app.pool`` (read), and    ``app.producer_pool`` (write). The latter doesn't actually give connections    but full :class:`kombu.Producer` instances.    .. code-block:: python        def publish_some_message(app, producer=None):            with app.producer_or_acquire(producer) as producer:                ...        def consume_messages(app, connection=None):            with app.connection_or_acquire(connection) as connection:                ...RabbitMQ queue extensions support~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Queue declarations can now set a message TTL and queue expiry time directly,by using the ``message_ttl`` and ``expires`` argumentsNew arguments have been added to :class:`~kombu.Queue` that letsyou directly and conveniently configure RabbitMQ queue extensionsin queue declarations:- ``Queue(expires=20.0)``    Set queue expiry time in float seconds.    See :attr:`kombu.Queue.expires`.- ``Queue(message_ttl=30.0)``    Set queue message time-to-live float seconds.    See :attr:`kombu.Queue.message_ttl`.- ``Queue(max_length=1000)``    Set queue max length (number of messages) as int.    See :attr:`kombu.Queue.max_length`.- ``Queue(max_length_bytes=1000)``    Set queue max length (message size total in bytes) as int.    See :attr:`kombu.Queue.max_length_bytes`.- ``Queue(max_priority=10)``    Declare queue to be a priority queue that routes messages    based on the ``priority`` field of the message.    See :attr:`kombu.Queue.max_priority`.Amazon SQS transport now officially supported~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~The SQS broker transport has been rewritten to use async I/O and as suchjoins RabbitMQ, Redis and QPid as officially supported transports.The new implementation also takes advantage of long polling,and closes several issues related to using SQS as a broker.This work was sponsored by Nextdoor.Apache QPid transport now officially supported~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Contributed by **Brian Bouterse**.Redis: Support for Sentinel---------------------------You can point the connection to a list of sentinel URLs like:.. code-block:: text    sentinel://0.0.0.0:26379;sentinel://0.0.0.0:26380/...where each sentinel is separated by a `;`. Multiple sentinels are handledby :class:`kombu.Connection` constructor, and placed in the alternativelist of servers to connect to in case of connection failure.Contributed by **Sergey Azovskov**, and **Lorenzo Mancini**.Tasks-----Task Auto-retry Decorator~~~~~~~~~~~~~~~~~~~~~~~~~Writing custom retry handling for exception events is so commonthat we now have built-in support for it.For this a new ``autoretry_for`` argument is now supported bythe task decorators, where you can specify a tuple of exceptionsto automatically retry for:.. code-block:: python    from twitter.exceptions import FailWhaleError    @app.task(autoretry_for=(FailWhaleError,))    def refresh_timeline(user):        return twitter.refresh_timeline(user)See :ref:`task-autoretry` for more information.Contributed by **Dmitry Malinovsky**... :sha:`75246714dd11e6c463b9dc67f4311690643bff24```Task.replace`` Improvements~~~~~~~~~~~~~~~~~~~~~~~~~~~~~- ``self.replace(signature)`` can now replace any task, chord or group,  and the signature to replace with can be a chord, group or any other  type of signature.- No longer inherits the callbacks and errbacks of the existing task.    If you replace a node in a tree, then you wouldn't expect the new node to    inherit the children of the old node.- ``Task.replace_in_chord`` has been removed, use ``.replace`` instead.- If the replacement is a group, that group will be automatically converted  to a chord, where the callback "accumulates" the results of the group tasks.    A new built-in task (`celery.accumulate` was added for this purpose)Contributed by **Steeve Morin**, and **Ask Solem**.Remote Task Tracebacks~~~~~~~~~~~~~~~~~~~~~~The new :setting:`task_remote_tracebacks` will make task tracebacks moreuseful by injecting the stack of the remote worker.This feature requires the additional :pypi:`tblib` library.Contributed by **Ionel Cristian Mărieș**.Handling task connection errors~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Connection related errors occuring while sending a task is now re-raisedas a :exc:`kombu.exceptions.OperationalError` error:.. code-block:: pycon    >>> try:    ...     add.delay(2, 2)    ... except add.OperationalError as exc:    ...     print('Could not send task %r: %r' % (add, exc))See :ref:`calling-connection-errors` for more information.Gevent/Eventlet: Dedicated thread for consuming results~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~When using :pypi:`gevent`, or :pypi:`eventlet` there is now a singlethread responsible for consuming events.This means that if you have many calls retrieving results, there will bea dedicated thread for consuming them:.. code-block:: python    result = add.delay(2, 2)    # this call will delegate to the result consumer thread:    #   once the consumer thread has received the result this greenlet can    # continue.    value = result.get(timeout=3)This makes performing RPC calls when using gevent/eventlet perform muchbetter.``AsyncResult.then(on_success, on_error)``~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~The AsyncResult API has been extended to support the :class:`~vine.promise` protocol.This currently only works with the RPC (amqp) and Redis result backends, butlets you attach callbacks to when tasks finish:.. code-block:: python    import gevent.monkey    monkey.patch_all()    import time    from celery import Celery    app = Celery(broker='amqp://', backend='rpc')    @app.task    def add(x, y):        return x + y    def on_result_ready(result):        print('Received result for id %r: %r' % (result.id, result.result,))    add.delay(2, 2).then(on_result_ready)    time.sleep(3)  # run gevent event loop for a while.Demonstrated using :pypi:`gevent` here, but really this is an API that's moreuseful in callback-based event loops like :pypi:`twisted`, or :pypi:`tornado`.New Task Router API~~~~~~~~~~~~~~~~~~~The :setting:`task_routes` setting can now hold functions, and map routesnow support glob patterns and regexes.Instead of using router classes you can now simply define a function:.. code-block:: python    def route_for_task(name, args, kwargs, options, task=None, **kwargs):        from proj import tasks        if name == tasks.add.name:            return {'queue': 'hipri'}If you don't need the arguments you can use start arguments, just makesure you always also accept star arguments so that we have the abilityto add more features in the future:.. code-block:: python    def route_for_task(name, *args, **kwargs):        from proj import tasks        if name == tasks.add.name:            return {'queue': 'hipri', 'priority': 9}Both the ``options`` argument and the new ``task`` keyword argumentare new to the function-style routers, and will make it easier to writerouters based on execution options, or properties of the task.The optional ``task`` keyword argument won't be set if a task is calledby name using :meth:`@send_task`.For more examples, including using glob/regexes in routers please see:setting:`task_routes` and :ref:`routing-automatic`.Canvas Refactor~~~~~~~~~~~~~~~The canvas/work-flow implementation have been heavily refactoredto fix some long outstanding issues... :sha:`d79dcd8e82c5e41f39abd07ffed81ca58052bcd2`.. :sha:`1e9dd26592eb2b93f1cb16deb771cfc65ab79612`.. :sha:`e442df61b2ff1fe855881c1e2ff9acc970090f54`.. :sha:`0673da5c09ac22bdd49ba811c470b73a036ee776`- Error callbacks can now take real exception and traceback instances  (Issue #2538).    .. code-block:: pycon        >>> add.s(2, 2).on_error(log_error.s()).delay()    Where ``log_error`` could be defined as:    .. code-block:: python        @app.task        def log_error(request, exc, traceback):            with open(os.path.join('/var/errors', request.id), 'a') as fh:                print('--\n\n{0} {1} {2}'.format(                    task_id, exc, traceback), file=fh)    See :ref:`guide-canvas` for more examples.- ``chain(a, b, c)`` now works the same as ``a | b | c``.    This means chain may no longer return an instance of ``chain``,    instead it may optimize the workflow so that e.g. two groups    chained together becomes one group.- Now unrolls groups within groups into a single group (Issue #1509).- chunks/map/starmap tasks now routes based on the target task- chords and chains can now be immutable.- Fixed bug where serialized signatures weren't converted back into  signatures (Issue #2078)    Fix contributed by **Ross Deane**.- Fixed problem where chains and groups didn't work when using JSON  serialization (Issue #2076).    Fix contributed by **Ross Deane**.- Creating a chord no longer results in multiple values for keyword  argument 'task_id' (Issue #2225).    Fix contributed by **Aneil Mallavarapu**.- Fixed issue where the wrong result is returned when a chain  contains a chord as the penultimate task.    Fix contributed by **Aneil Mallavarapu**.- Special case of ``group(A.s() | group(B.s() | C.s()))`` now works.- Chain: Fixed bug with incorrect id set when a subtask is also a chain.- ``group | group`` is now flattened into a single group (Issue #2573).- Fixed issue where ``group | task`` wasn't upgrading correctly  to chord (Issue #2922).- Chords now properly sets ``result.parent`` links.- ``chunks``/``map``/``starmap`` are now routed based on the target task.- ``Signature.link`` now works when argument is scalar (not a list)    (Issue #2019).- ``group()`` now properly forwards keyword arguments (Issue #3426).    Fix contributed by **Samuel Giffard**.- A ``chord`` where the header group only consists of a single task  is now turned into a simple chain.- Passing a ``link`` argument to ``group.apply_async()`` now raises an error  (Issue #3508).- ``chord | sig`` now attaches to the chord callback (Issue #3356).Periodic Tasks--------------New API for configuring periodic tasks~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~This new API enables you to use signatures when defining periodic tasks,removing the chance of mistyping task names.An example of the new API is :ref:`here <beat-entries>`... :sha:`bc18d0859c1570f5eb59f5a969d1d32c63af764b`.. :sha:`132d8d94d38f4050db876f56a841d5a5e487b25b`Optimized Beat implementation~~~~~~~~~~~~~~~~~~~~~~~~~~~~~The :program:`celery beat` implementation has been optimizedfor millions of periodic tasks by using a heap to schedule entries.Contributed by **Ask Solem** and **Alexander Koshelev**.Schedule tasks based on sunrise, sunset, dawn and dusk~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~See :ref:`beat-solar` for more information.Contributed by **Mark Parncutt**.Result Backends---------------RPC Result Backend matured~~~~~~~~~~~~~~~~~~~~~~~~~~Lots of bugs in the previously experimental RPC result backend have been fixedand can now be considered to production use.Contributed by **Ask Solem**, **Morris Tweed**.Redis: Result backend optimizations~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~``result.get()`` is now using pub/sub for streaming task results^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^Calling ``result.get()`` when using the Redis result backendused to be extremely expensive as it was using polling to waitfor the result to become available. A default pollinginterval of 0.5 seconds didn't help performance, but wasnecessary to avoid a spin loop.The new implementation is using Redis Pub/Sub mechanisms topublish and retrieve results immediately, greatly improvingtask round-trip times.Contributed by **Yaroslav Zhavoronkov** and **Ask Solem**.New optimized chord join implementation^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^This was an experimental feature introduced in Celery 3.1,that could only be enabled by adding ``?new_join=1`` to theresult backend URL configuration.We feel that the implementation has been tested thoroughly enoughto be considered stable and enabled by default.The new implementation greatly reduces the overhead of chords,and especially with larger chords the performance benefit can be massive.New Riak result backend introduced~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~See :ref:`conf-riak-result-backend` for more information.Contributed by **Gilles Dartiguelongue**, **Alman One** and **NoKriK**.New CouchDB result backend introduced~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~See :ref:`conf-couchdb-result-backend` for more information.Contributed by **Nathan Van Gheem**.New Consul result backend introduced~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Add support for Consul as a backend using the Key/Value store of Consul.Consul has an HTTP API where through you can store keys with their values.The backend extends KeyValueStoreBackend and implements most of the methods.Mainly to set, get and remove objects.This allows Celery to store Task results in the K/V store of Consul.Consul also allows to set a TTL on keys using the Sessions from Consul. This waythe backend supports auto expiry of Task results.For more information on Consul visit https://consul.io/The backend uses :pypi:`python-consul` for talking to the HTTP API.This package is fully Python 3 compliant just as this backend is:.. code-block:: console    $ pip install python-consulThat installs the required package to talk to Consul's HTTP API from Python.You can also specify consul as an extension in your dependency on Celery:.. code-block:: console    $ pip install celery[consul]See :ref:`bundles` for more information.Contributed by **Wido den Hollander**.Brand new Cassandra result backend~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~A brand new Cassandra backend utilizing the new :pypi:`cassandra-driver`library is replacing the old result backend using the older:pypi:`pycassa` library.See :ref:`conf-cassandra-result-backend` for more information.To depend on Celery with Cassandra as the result backend use:.. code-block:: console    $ pip install celery[cassandra]You can also combine multiple extension requirements,please see :ref:`bundles` for more information... # XXX What changed?New Elasticsearch result backend introduced~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~See :ref:`conf-elasticsearch-result-backend` for more information.To depend on Celery with Elasticsearch as the result bakend use:.. code-block:: console    $ pip install celery[elasticsearch]You can also combine multiple extension requirements,please see :ref:`bundles` for more information.Contributed by **Ahmet Demir**.New File-system result backend introduced~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~See :ref:`conf-filesystem-result-backend` for more information.Contributed by **Môshe van der Sterre**.Event Batching--------------Events are now buffered in the worker and sent as a list, reducingthe overhead required to send monitoring events.For authors of custom event monitors there will be no actionrequired as long as you're using the Python Celeryhelpers (:class:`~@events.Receiver`) to implement your monitor.However, if you're parsing raw event messages you must now accountfor batched event messages,  as they differ from normal event messagesin the following way:- The routing key for a batch of event messages will be set to  ``<event-group>.multi`` where the only batched event group  is currently ``task`` (giving a routing key of ``task.multi``).- The message body will be a serialized list-of-dictionaries instead  of a dictionary. Each item in the list can be regarded  as a normal event message body... :sha:`03399b4d7c26fb593e61acf34f111b66b340ba4e`In Other News...----------------Requirements~~~~~~~~~~~~- Now depends on :ref:`Kombu 4.0 <kombu:version-4.0>`.- Now depends on :pypi:`billiard` version 3.5.- No longer depends on :pypi:`anyjson`. Good-bye old friend :(Tasks~~~~~- The "anon-exchange" is now used for simple name-name direct routing.  This increases performance as it completely bypasses the routing table,  in addition it also improves reliability for the Redis broker transport.- An empty ResultSet now evaluates to True.    Fix contributed by **Colin McIntosh**.- The default routing key and exchange name is now taken from the  :setting:`task_default_queue` setting.    This means that to change the name of the default queue, you now    only have to set a single setting.- New :setting:`task_reject_on_worker_lost` setting, and  :attr:`~@Task.reject_on_worker_lost` task attribute decides what happens  when the child worker process executing a late ack task is terminated.    Contributed by **Michael Permana**.- ``Task.subtask`` renamed to ``Task.signature`` with alias.- ``Task.subtask_from_request`` renamed to  ``Task.signature_from_request`` with alias.- The ``delivery_mode`` attribute for :class:`kombu.Queue` is now  respected (Issue #1953).- Routes in :setting:`task-routes` can now specify a  :class:`~kombu.Queue` instance directly.    Example:    .. code-block:: python        task_routes = {'proj.tasks.add': {'queue': Queue('add')}}- ``AsyncResult`` now raises :exc:`ValueError` if task_id is None.  (Issue #1996).- Retried tasks didn't forward expires setting (Issue #3297).- ``result.get()`` now supports an ``on_message`` argument to set a  callback to be called for every message received.- New abstract classes added:    - :class:`~celery.utils.abstract.CallableTask`        Looks like a task.    - :class:`~celery.utils.abstract.CallableSignature`        Looks like a task signature.- ``Task.replace`` now properly forwards callbacks (Issue #2722).    Fix contributed by **Nicolas Unravel**.- ``Task.replace``: Append to chain/chord (Closes #3232)    Fixed issue #3232, adding the signature to the chain (if there's any).    Fixed the chord suppress if the given signature contains one.    Fix contributed by :github_user:`honux`.- Task retry now also throws in eager mode.    Fix contributed by **Feanil Patel**.Beat~~~~- Fixed crontab infinite loop with invalid date.    When occurrence can never be reached (example, April, 31th), trying    to reach the next occurrence would trigger an infinite loop.    Try fixing that by raising a :exc:`RuntimeError` after 2,000 iterations    (Also added a test for crontab leap years in the process)    Fix contributed by **Romuald Brunet**.- Now ensures the program exits with a non-zero exit code when an  exception terminates the service.    Fix contributed by **Simon Peeters**.App~~~- Dates are now always timezone aware even if  :setting:`enable_utc` is disabled (Issue #943).    Fix contributed by **Omer Katz**.- **Config**: App preconfiguration is now also pickled with the configuration.    Fix contributed by **Jeremy Zafran**.- The application can now change how task names are generated using    the :meth:`~@gen_task_name` method.    Contributed by **Dmitry Malinovsky**.- App has new ``app.current_worker_task`` property that  returns the task that's currently being worked on (or :const:`None`).  (Issue #2100).Logging~~~~~~~- :func:`~celery.utils.log.get_task_logger` now raises an exception  if trying to use the name "celery" or "celery.task" (Issue #3475).Execution Pools~~~~~~~~~~~~~~~- **Eventlet/Gevent**: now enables AMQP heartbeat (Issue #3338).- **Eventlet/Gevent**: Fixed race condition leading to "simultaneous read"  errors (Issue #2755).- **Prefork**: Prefork pool now uses ``poll`` instead of ``select`` where  available (Issue #2373).- **Prefork**: Fixed bug where the pool would refuse to shut down the  worker (Issue #2606).- **Eventlet**: Now returns pool size in :program:`celery inspect stats`  command.    Contributed by **Alexander Oblovatniy**.Testing-------- Celery is now a :pypi:`pytest` plugin, including fixtures  useful for unit and integration testing.    See the :ref:`testing user guide <testing>` for more information.Transports~~~~~~~~~~- ``amqps://`` can now be specified to require SSL.- **Redis Transport**: The Redis transport now supports the  :setting:`broker_use_ssl` option.    Contributed by **Robert Kolba**.- JSON serializer now calls ``obj.__json__`` for unsupported types.    This means you can now define a ``__json__`` method for custom    types that can be reduced down to a built-in json type.    Example:    .. code-block:: python        class Person:            first_name = None            last_name = None            address = None            def __json__(self):                return {                    'first_name': self.first_name,                    'last_name': self.last_name,                    'address': self.address,                }- JSON serializer now handles datetime's, Django promise, UUID and Decimal.- New ``Queue.consumer_arguments`` can be used for the ability to  set consumer priority via ``x-priority``.  See https://www.rabbitmq.com/consumer-priority.html  Example:  .. code-block:: python        consumer = Consumer(channel, consumer_arguments={'x-priority': 3})- Queue/Exchange: ``no_declare`` option added (also enabled for  internal amq. exchanges).Programs~~~~~~~~- Celery is now using :mod:`argparse`, instead of :mod:`optparse`.- All programs now disable colors if the controlling terminal is not a TTY.- :program:`celery worker`: The ``-q`` argument now disables the startup  banner.- :program:`celery worker`: The "worker ready" message is now logged  using severity info, instead of warn.- :program:`celery multi`: ``%n`` format for is now synonym with  ``%N`` to be consistent with :program:`celery worker`.- :program:`celery inspect`/:program:`celery control`: now supports a new  :option:`--json <celery inspect --json>` option to give output in json format.- :program:`celery inspect registered`: now ignores built-in tasks.- :program:`celery purge` now takes ``-Q`` and ``-X`` options  used to specify what queues to include and exclude from the purge.- New :program:`celery logtool`: Utility for filtering and parsing  celery worker log-files- :program:`celery multi`: now passes through `%i` and `%I` log  file formats.- General: ``%p`` can now be used to expand to the full worker node-name  in log-file/pid-file arguments.- A new command line option   :option:`--executable <celery worker --executable>` is now   available for daemonizing programs (:program:`celery worker` and   :program:`celery beat`).    Contributed by **Bert Vanderbauwhede**.- :program:`celery worker`: supports new  :option:`--prefetch-multiplier <celery worker --prefetch-multiplier>` option.    Contributed by **Mickaël Penhard**.- The ``--loader`` argument is now always effective even if an app argument is  set (Issue #3405).- inspect/control now takes commands from registry    This means user remote-control commands can also be used from the    command-line.    Note that you need to specify the arguments/and type of arguments    for the arguments to be correctly passed on the command-line.    There are now two decorators, which use depends on the type of    command: `@inspect_command` + `@control_command`:    .. code-block:: python        from celery.worker.control import control_command        @control_command(            args=[('n', int)]            signature='[N=1]',        )        def something(state, n=1, **kwargs):            ...    Here ``args`` is a list of args supported by the command.    The list must contain tuples of ``(argument_name, type)``.    ``signature`` is just the command-line help used in e.g.    ``celery -A proj control --help``.    Commands also support `variadic` arguments, which means that any    arguments left over will be added to a single variable.  Here demonstrated    by the ``terminate`` command which takes a signal argument and a variable    number of task_ids:    .. code-block:: python        from celery.worker.control import control_command        @control_command(            args=[('signal', str)],            signature='<signal> [id1, [id2, [..., [idN]]]]',            variadic='ids',        )        def terminate(state, signal, ids, **kwargs):            ...    This command can now be called using:    .. code-block:: console        $ celery -A proj control terminate SIGKILL id1 id2 id3`    See :ref:`worker-custom-control-commands` for more information.Worker~~~~~~- Improvements and fixes for :class:`~celery.utils.collections.LimitedSet`.    Getting rid of leaking memory + adding ``minlen`` size of the set:    the minimal residual size of the set after operating for some time.    ``minlen`` items are kept, even if they should've been expired.    Problems with older and even more old code:    #. Heap would tend to grow in some scenarios       (like adding an item multiple times).    #. Adding many items fast wouldn't clean them soon enough (if ever).    #. When talking to other workers, revoked._data was sent, but       it was processed on the other side as iterable.       That means giving those keys new (current)       time-stamp. By doing this workers could recycle       items forever. Combined with 1) and 2), this means that in       large set of workers, you're getting out of memory soon.    All those problems should be fixed now.    This should fix issues #3095, #3086.    Contributed by **David Pravec**.- New settings to control remote control command queues.    - :setting:`control_queue_expires`        Set queue expiry time for both remote control command queues,        and remote control reply queues.    - :setting:`control_queue_ttl`        Set message time-to-live for both remote control command queues,        and remote control reply queues.    Contributed by **Alan Justino**.- The :signal:`worker_shutdown` signal is now always called during shutdown.    Previously it would not be called if the worker instance was collected    by gc first.- Worker now only starts the remote control command consumer if the  broker transport used actually supports them.- Gossip now sets ``x-message-ttl`` for event queue to heartbeat_interval s.  (Issue #2005).- Now preserves exit code (Issue #2024).- Now rejects messages with an invalid ETA value (instead of ack, which means  they will be sent to the dead-letter exchange if one is configured).- Fixed crash when the ``-purge`` argument was used.- Log--level for unrecoverable errors changed from ``error`` to  ``critical``.- Improved rate limiting accuracy.- Account for missing timezone information in task expires field.    Fix contributed by **Albert Wang**.- The worker no longer has a ``Queues`` bootsteps, as it is now    superfluous.- Now emits the "Received task" line even for revoked tasks.  (Issue #3155).- Now respects :setting:`broker_connection_retry` setting.    Fix contributed by **Nat Williams**.- New :setting:`control_queue_ttl` and :setting:`control_queue_expires`  settings now enables you to configure remote control command  message TTLs, and queue expiry time.    Contributed by **Alan Justino**.- New :data:`celery.worker.state.requests` enables O(1) loookup  of active/reserved tasks by id.- Auto-scale didn't always update keep-alive when scaling down.    Fix contributed by **Philip Garnero**.- Fixed typo ``options_list`` -> ``option_list``.    Fix contributed by **Greg Wilbur**.- Some worker command-line arguments and ``Worker()`` class arguments have  been renamed for consistency.    All of these have aliases for backward compatibility.    - ``--send-events`` -> ``--task-events``    - ``--schedule`` -> ``--schedule-filename``    - ``--maxtasksperchild`` -> ``--max-tasks-per-child``    - ``Beat(scheduler_cls=)`` -> ``Beat(scheduler=)``    - ``Worker(send_events=True)`` -> ``Worker(task_events=True)``    - ``Worker(task_time_limit=)`` -> ``Worker(time_limit=``)    - ``Worker(task_soft_time_limit=)`` -> ``Worker(soft_time_limit=)``    - ``Worker(state_db=)`` -> ``Worker(statedb=)``    - ``Worker(working_directory=)`` -> ``Worker(workdir=)``Debugging Utilities~~~~~~~~~~~~~~~~~~~- :mod:`celery.contrib.rdb`: Changed remote debugger banner so that you can copy and paste  the address easily (no longer has a period in the address).    Contributed by **Jonathan Vanasco**.- Fixed compatibility with recent :pypi:`psutil` versions (Issue #3262).Signals~~~~~~~- **App**: New signals for app configuration/finalization:    - :data:`app.on_configure <@on_configure>`    - :data:`app.on_after_configure <@on_after_configure>`    - :data:`app.on_after_finalize <@on_after_finalize>`- **Task**: New task signals for rejected task messages:    - :data:`celery.signals.task_rejected`.    - :data:`celery.signals.task_unknown`.- **Worker**: New signal for when a heartbeat event is sent.    - :data:`celery.signals.heartbeat_sent`        Contributed by **Kevin Richardson**.Events~~~~~~- Event messages now uses the RabbitMQ ``x-message-ttl`` option  to ensure older event messages are discarded.    The default is 5 seconds, but can be changed using the    :setting:`event_queue_ttl` setting.- ``Task.send_event`` now automatically retries sending the event  on connection failure, according to the task publish retry settings.- Event monitors now sets the :setting:`event_queue_expires`  setting by default.    The queues will now expire after 60 seconds after the monitor stops    consuming from it.- Fixed a bug where a None value wasn't handled properly.    Fix contributed by **Dongweiming**.- New :setting:`event_queue_prefix` setting can now be used  to change the default ``celeryev`` queue prefix for event receiver queues.    Contributed by **Takeshi Kanemoto**.- ``State.tasks_by_type`` and ``State.tasks_by_worker`` can now be  used as a mapping for fast access to this information.Deployment~~~~~~~~~~- Generic init-scripts now support  :envvar:`CELERY_SU` and :envvar:`CELERYD_SU_ARGS` environment variables  to set the path and arguments for :command:`su` (:manpage:`su(1)`).- Generic init-scripts now better support FreeBSD and other BSD  systems by searching :file:`/usr/local/etc/` for the configuration file.    Contributed by **Taha Jahangir**.- Generic init-script: Fixed strange bug for ``celerybeat`` where  restart didn't always work (Issue #3018).- The systemd init script now uses a shell when executing  services.    Contributed by **Tomas Machalek**.Result Backends~~~~~~~~~~~~~~~- Redis: Now has a default socket timeout of 120 seconds.    The default can be changed using the new :setting:`redis_socket_timeout`    setting.    Contributed by **Raghuram Srinivasan**.- RPC Backend result queues are now auto delete by default (Issue #2001).- RPC Backend: Fixed problem where exception  wasn't deserialized properly with the json serializer (Issue #2518).    Fix contributed by **Allard Hoeve**.- CouchDB: The backend used to double-json encode results.    Fix contributed by **Andrew Stewart**.- CouchDB: Fixed typo causing the backend to not be found  (Issue #3287).    Fix contributed by **Andrew Stewart**.- MongoDB: Now supports setting the :setting:`result_serialzier` setting  to ``bson`` to use the MongoDB libraries own serializer.    Contributed by **Davide Quarta**.- MongoDB: URI handling has been improved to use    database name, user and password from the URI if provided.    Contributed by **Samuel Jaillet**.- SQLAlchemy result backend: Now ignores all result  engine options when using NullPool (Issue #1930).- SQLAlchemy result backend: Now sets max char size to 155 to deal  with brain damaged MySQL Unicode implementation (Issue #1748).- **General**: All Celery exceptions/warnings now inherit from common  :class:`~celery.exceptions.CeleryError`/:class:`~celery.exceptions.CeleryWarning`.  (Issue #2643).Documentation Improvements~~~~~~~~~~~~~~~~~~~~~~~~~~Contributed by:- Adam Chainz- Amir Rustamzadeh- Arthur Vuillard- Batiste Bieler- Berker Peksag- Bryce Groff- Daniel Devine- Edward Betts- Jason Veatch- Jeff Widman- Maciej Obuchowski- Manuel Kaufmann- Maxime Beauchemin- Mitchel Humpherys- Pavlo Kapyshin- Pierre Fersing- Rik- Steven Sklar- Tayfun Sen- Wieland HoffmannReorganization, Deprecations, and Removals==========================================Incompatible changes--------------------- Prefork: Calling ``result.get()`` or joining any result from within a task  now raises :exc:`RuntimeError`.    In previous versions this would emit a warning.- :mod:`celery.worker.consumer` is now a package, not a module.- Module ``celery.worker.job`` renamed to :mod:`celery.worker.request`.- Beat: ``Scheduler.Publisher``/``.publisher`` renamed to  ``.Producer``/``.producer``.- Result: The task_name argument/attribute of :class:`@AsyncResult` was  removed.    This was historically a field used for :mod:`pickle` compatibility,    but is no longer needed.- Backends: Arguments named ``status`` renamed to ``state``.- Backends: ``backend.get_status()`` renamed to ``backend.get_state()``.- Backends: ``backend.maybe_reraise()`` renamed to ``.maybe_throw()``    The promise API uses .throw(), so this change was made to make it more    consistent.    There's an alias available, so you can still use maybe_reraise until    Celery 5.0... _v400-unscheduled-removals:Unscheduled Removals--------------------- The experimental :mod:`celery.contrib.methods` feature has been removed,  as there were far many bugs in the implementation to be useful.- The CentOS init-scripts have been removed.    These didn't really add any features over the generic init-scripts,    so you're encouraged to use them instead, or something like    :pypi:`supervisor`... _v400-deprecations-reorg:Reorganization Deprecations---------------------------These symbols have been renamed, and while there's an alias available in thisversion for backward compatibility, they will be removed in Celery 5.0, somake sure you rename these ASAP to make sure it won't break for that release.Chances are that you'll only use the first in this list, but you neverknow:- ``celery.utils.worker_direct`` ->  :meth:`celery.utils.nodenames.worker_direct`.- ``celery.utils.nodename`` -> :meth:`celery.utils.nodenames.nodename`.- ``celery.utils.anon_nodename`` ->  :meth:`celery.utils.nodenames.anon_nodename`.- ``celery.utils.nodesplit`` -> :meth:`celery.utils.nodenames.nodesplit`.- ``celery.utils.default_nodename`` ->  :meth:`celery.utils.nodenames.default_nodename`.- ``celery.utils.node_format`` -> :meth:`celery.utils.nodenames.node_format`.- ``celery.utils.host_format`` -> :meth:`celery.utils.nodenames.host_format`... _v400-removals:Scheduled Removals------------------Modules~~~~~~~- Module ``celery.worker.job`` has been renamed to :mod:`celery.worker.request`.    This was an internal module so shouldn't have any effect.    It's now part of the public API so must not change again.- Module ``celery.task.trace`` has been renamed to ``celery.app.trace``  as the ``celery.task`` package is being phased out. The module  will be removed in version 5.0 so please change any import from::    from celery.task.trace import X  to::    from celery.app.trace import X- Old compatibility aliases in the :mod:`celery.loaders` module  has been removed.    - Removed ``celery.loaders.current_loader()``, use: ``current_app.loader``    - Removed ``celery.loaders.load_settings()``, use: ``current_app.conf``Result~~~~~~- ``AsyncResult.serializable()`` and ``celery.result.from_serializable``    has been removed:    Use instead:    .. code-block:: pycon        >>> tup = result.as_tuple()        >>> from celery.result import result_from_tuple        >>> result = result_from_tuple(tup)- Removed ``BaseAsyncResult``, use ``AsyncResult`` for instance checks  instead.- Removed ``TaskSetResult``, use ``GroupResult`` instead.    - ``TaskSetResult.total`` -> ``len(GroupResult)``    - ``TaskSetResult.taskset_id`` -> ``GroupResult.id``- Removed ``ResultSet.subtasks``, use ``ResultSet.results`` instead.TaskSet~~~~~~~TaskSet has been removed, as it was replaced by the ``group`` construct inCelery 3.0.If you have code like this:.. code-block:: pycon    >>> from celery.task import TaskSet    >>> TaskSet(add.subtask((i, i)) for i in xrange(10)).apply_async()You need to replace that with:.. code-block:: pycon    >>> from celery import group    >>> group(add.s(i, i) for i in xrange(10))()Events~~~~~~- Removals for class :class:`celery.events.state.Worker`:    - ``Worker._defaults`` attribute.        Use ``{k: getattr(worker, k) for k in worker._fields}``.    - ``Worker.update_heartbeat``        Use ``Worker.event(None, timestamp, received)``    - ``Worker.on_online``        Use ``Worker.event('online', timestamp, received, fields)``    - ``Worker.on_offline``        Use ``Worker.event('offline', timestamp, received, fields)``    - ``Worker.on_heartbeat``        Use ``Worker.event('heartbeat', timestamp, received, fields)``- Removals for class :class:`celery.events.state.Task`:    - ``Task._defaults`` attribute.        Use ``{k: getattr(task, k) for k in task._fields}``.    - ``Task.on_sent``        Use ``Worker.event('sent', timestamp, received, fields)``    - ``Task.on_received``        Use ``Task.event('received', timestamp, received, fields)``    - ``Task.on_started``        Use ``Task.event('started', timestamp, received, fields)``    - ``Task.on_failed``        Use ``Task.event('failed', timestamp, received, fields)``    - ``Task.on_retried``        Use ``Task.event('retried', timestamp, received, fields)``    - ``Task.on_succeeded``        Use ``Task.event('succeeded', timestamp, received, fields)``    - ``Task.on_revoked``        Use ``Task.event('revoked', timestamp, received, fields)``    - ``Task.on_unknown_event``        Use ``Task.event(short_type, timestamp, received, fields)``    - ``Task.update``        Use ``Task.event(short_type, timestamp, received, fields)``    - ``Task.merge``        Contact us if you need this.Magic keyword arguments~~~~~~~~~~~~~~~~~~~~~~~Support for the very old magic keyword arguments accepted by tasks isfinally removed in this version.If you're still using these you have to rewrite any task stillusing the old ``celery.decorators`` module and dependingon keyword arguments being passed to the task,for example::    from celery.decorators import task    @task()    def add(x, y, task_id=None):        print('My task id is %r' % (task_id,))should be rewritten into::    from celery import task    @task(bind=True)    def add(self, x, y):        print('My task id is {0.request.id}'.format(self))Removed Settings----------------The following settings have been removed, and is no longer supported:Logging Settings~~~~~~~~~~~~~~~~=====================================  =====================================**Setting name**                       **Replace with**=====================================  =====================================``CELERYD_LOG_LEVEL``                  :option:`celery worker --loglevel```CELERYD_LOG_FILE``                   :option:`celery worker --logfile```CELERYBEAT_LOG_LEVEL``               :option:`celery beat --loglevel```CELERYBEAT_LOG_FILE``                :option:`celery beat --loglevel```CELERYMON_LOG_LEVEL``                celerymon is deprecated, use flower``CELERYMON_LOG_FILE``                 celerymon is deprecated, use flower``CELERYMON_LOG_FORMAT``               celerymon is deprecated, use flower=====================================  =====================================Task Settings~~~~~~~~~~~~~~=====================================  =====================================**Setting name**                       **Replace with**=====================================  =====================================``CELERY_CHORD_PROPAGATES``            N/A=====================================  =====================================Changes to internal API------------------------ Module ``celery.datastructures`` renamed to :mod:`celery.utils.collections`.- Module ``celery.utils.timeutils`` renamed to :mod:`celery.utils.time`.- ``celery.utils.datastructures.DependencyGraph`` moved to  :mod:`celery.utils.graph`.- ``celery.utils.jsonify`` is now :func:`celery.utils.serialization.jsonify`.- ``celery.utils.strtobool`` is now  :func:`celery.utils.serialization.strtobool`.- ``celery.utils.is_iterable`` has been removed.    Instead use:    .. code-block:: python        isinstance(x, collections.Iterable)- ``celery.utils.lpmerge`` is now :func:`celery.utils.collections.lpmerge`.- ``celery.utils.cry`` is now :func:`celery.utils.debug.cry`.- ``celery.utils.isatty`` is now :func:`celery.platforms.isatty`.- ``celery.utils.gen_task_name`` is now  :func:`celery.utils.imports.gen_task_name`.- ``celery.utils.deprecated`` is now :func:`celery.utils.deprecated.Callable`- ``celery.utils.deprecated_property`` is now  :func:`celery.utils.deprecated.Property`.- ``celery.utils.warn_deprecated`` is now :func:`celery.utils.deprecated.warn`.. _v400-deprecations:Deprecation Time-line Changes=============================See the :ref:`deprecation-timeline`.
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