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parameterize what serialization is used in multiprocessing #72240

Open applio opened 8 years ago

applio commented 8 years ago
BPO 28053
Nosy @pitrou, @ericsnowcurrently, @applio, @pablogsal
PRs
  • python/cpython#9959
  • python/cpython#15058
  • Files
  • issue_28053_missingdocs.patch: Patch but missing docs
  • Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.

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    GitHub fields: ```python assignee = 'https://github.com/applio' closed_at = None created_at = labels = ['3.7', 'type-feature', 'library'] title = 'parameterize what serialization is used in multiprocessing' updated_at = user = 'https://github.com/applio' ``` bugs.python.org fields: ```python activity = actor = 'pierreglaser' assignee = 'davin' closed = False closed_date = None closer = None components = ['Library (Lib)'] creation = creator = 'davin' dependencies = [] files = ['44511'] hgrepos = [] issue_num = 28053 keywords = ['patch'] message_count = 8.0 messages = ['275437', '275459', '275479', '275486', '293947', '298369', '299434', '314744'] nosy_count = 7.0 nosy_names = ['pitrou', 'python-dev', 'eric.snow', 'davin', 'i3v', 'Will S', 'pablogsal'] pr_nums = ['9959', '15058'] priority = 'normal' resolution = None stage = 'patch review' status = 'open' superseder = None type = 'enhancement' url = 'https://bugs.python.org/issue28053' versions = ['Python 3.6', 'Python 3.7'] ```

    applio commented 8 years ago

    Currently multiprocessing uses the pickle module for its serialization of objects to be communicated between processes. Specifically v2 of the pickle protocols is now exclusively used to provide maximum compatibility, motivated by the desire for multiple versions of Python to be used simultaneously with multiprocessing.

    Per conversations in bpo-26507, bpo-23403, and others, multiprocessing should offer the option to specify what serialization is to be used for the transport of data between processes. Besides supporting requests to use a different version of the pickle protocol or using 3rd party tools like dill, a hook to specify the means for reducing objects to a transmittable form opens a door for other creative or higher performance strategies.

    Ultimately, this is not an enhancement to add functionality but rather to reorganize the existing internals of multiprocessing to permit better control over its use of serialization.

    applio commented 8 years ago

    Attaching patch containing refactorizations but missing update to docs for the purposes of review.

    Introduces three new things:

    ericsnowcurrently commented 8 years ago

    LGTM

    1762cc99-3127-4a62-9baf-30c3d0f51ef7 commented 8 years ago

    New changeset 7381b1b50e00 by Davin Potts in branch 'default': Issue bpo-28053: Applying refactorings, docs and other cleanup to follow. https://hg.python.org/cpython/rev/7381b1b50e00

    applio commented 7 years ago

    Docs need updating still.

    9e035c39-194e-4246-803f-48abf2cb2ca7 commented 7 years ago

    Documentation would be appreciated. I have a project that uses BaseManager, Client, and Listener to create some servers and clients. I would like to update the project to work with Python 3 and would prefer to update the clients and the servers separately (i.e. switch the client to Python 3 while the server is run with Python 2.7). However, BaseManager uses connection.Client which uses connection._ConnectionBase which uses reduction.ForkingPickler without a protocol argument. It seems the default protocol is 3 on Python 3.6 and 2 on Python 2.7 (contrary to the comment above about v2 being used). I just want to set the protocol version to 2 in Python 3.6. Can I do that with the changes added by this patch?

    I tried creating pickle2reducer.py like this:

    from multiprocessing.reduction import ForkingPickler, AbstractReducer
    
    class ForkingPickler2(ForkingPickler):
        def __init__(self, *args):
            if len(args) > 1:
                args[1] = 2
            else:
                args.append(2)
            super().__init__(*args)
    
        @classmethod
        def dumps(cls, obj, protocol=2):
            return ForkingPickler.dumps(obj, protocol)
    
    def dump(obj, file, protocol=2):
        ForkingPickler2(file, protocol).dump(obj)
    
    class Pickle2Reducer(AbstractReducer):
        ForkingPickler = ForkingPickler2
        register = ForkingPickler2.register
        dump = dump

    and then putting

    import pickle2reducer
    multiprocessing.reducer = pickle2reducer.Pickle2Reducer()

    at the top of my module before

    import multiprocessing.connection

    but I still see "ValueError: unsupported pickle protocol: 3" on the server when I connect with a Python 3.6 client.

    9e035c39-194e-4246-803f-48abf2cb2ca7 commented 7 years ago

    Just to follow up in case anyone comes across my last message later:

    I just had to change the last line from

    multiprocessing.reducer = pickle2reducer.Pickle2Reducer()

    to

    multiprocessing.context._default_context.reducer = pickle2reducer.Pickle2Reducer()
    pitrou commented 6 years ago

    I'd like to know if the work here will be completed soon :-) This currently lacks documentation but also tests.

    In particular, looking at the code (and that is supported by Will S' comment above), I feel the API isn't working as intended (i.e. setting the "reducer" property won't actually change the underlying parameters since the "reduction" module is imported eagerly).