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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2022/10/12 15:37:00 UTC

[jira] [Commented] (ARROW-10676) [Python] pickle error occurs when using pyarrow._plasma.PlasmaClient with multiprocess on mac (python3.8.5)

    [ https://issues.apache.org/jira/browse/ARROW-10676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17616526#comment-17616526 ] 

Joris Van den Bossche commented on ARROW-10676:
-----------------------------------------------

Not an answer to you actual issue, but note that Plasma is deprecated (see ARROW-17860 and the email thread that is linked there)


> [Python] pickle error occurs when using pyarrow._plasma.PlasmaClient with multiprocess on mac (python3.8.5)
> -----------------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-10676
>                 URL: https://issues.apache.org/jira/browse/ARROW-10676
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++ - Plasma, Python
>    Affects Versions: 0.17.1, 2.0.0
>         Environment: OS: mac os catalina 10.15.6;
> Python version: python3.8.5;
>            Reporter: BinbinLiang
>            Priority: Major
>
> * *The environment is:*
>  ** OS: mac os catalina 10.15.6;
>  ** {color:#ff0000}Python version: python3.8.5;{color}
>  * {color:#ff0000}*It's ok, when use python3.7(3.7.2 or 3.7.3) or python3.6(3.6.8).{color}*
>  The error occurs only in python3.8(3.8.5).
>  * *When I use 'pyarrow._plasma.PlasmaClient' in the 'multiprocessing.context.Process', the error occurs.*
>  * 
>  ** First, I have a subclass of 'multiprocessing.context.Process', named Executor;
>  The defined code like this: 'class Executor(Process):' .
>  ** And then, I create a 'PlasmaClient' object in the '__init__' function of 'class Executor' .
>  ** Finally, I new a 'Executor' object, and call the 'start()' function. 
>  * *The code is:*
> {code:java}
> // code placeholder
> from multiprocessing.context import Process
> from time import sleep
> from pyarrow import plasma
> class Executor(Process):
>     def __init__(self):
>         super().__init__()
>         self._plasma_client = plasma.connect("/tmp/plasma")
> if __name__ == "__main__":
>     executor = Executor()
>     executor.start()
>     sleep(10)
> {code}
>  * *The detail informations of traceback are as follows:*
> {code:java}
> // code placeholder
> Traceback (most recent call last):
>   File "/Users/liangbinbin/PycharmProjects/waimai_data_cubeinsight/python/taf/tests/plasma_client_with_multiprocessing_test.py", line 15, in <module>
>     executor.start()
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/process.py", line 121, in start
>     self._popen = self._Popen(self)
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/context.py", line 224, in _Popen
>     return _default_context.get_context().Process._Popen(process_obj)
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/context.py", line 284, in _Popen
>     return Popen(process_obj)
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
>     super().__init__(process_obj)
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
>     self._launch(process_obj)
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch
>     reduction.dump(process_obj, fp)
>   File "/Users/liangbinbin/Applications/anaconda3/envs/python3_8/lib/python3.8/multiprocessing/reduction.py", line 60, in dump
>     ForkingPickler(file, protocol).dump(obj)
>   File "stringsource", line 2, in pyarrow._plasma.PlasmaClient.__reduce_cython__
> TypeError: no default __reduce__ due to non-trivial __cinit__
> {code}
>  *  And  the error does not occur, when I change 'multiprocessing.context.Process' to '{color:#de350b}multiprocess.context.Process{color}' which use *dill* to serialize.
>  



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