[jira] [Updated] (ARROW-3587) [Python] Efficient serialization for Arrow Objects (array, table, tensor, etc)

["Wes McKinney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-3587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney updated ARROW-3587:
--------------------------------
    Summary: [Python] Efficient serialization for Arrow Objects (array, table, tensor, etc)  (was: Efficient serialization for Arrow Objects (array, table, tensor, etc))

> [Python] Efficient serialization for Arrow Objects (array, table, tensor, etc)
> ------------------------------------------------------------------------------
>
>                 Key: ARROW-3587
>                 URL: https://issues.apache.org/jira/browse/ARROW-3587
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++, Plasma (C++), Python
>            Reporter: Siyuan Zhuang
>            Priority: Major
>
> Currently, Arrow seems to have poor serialization support for its own objects.
> For example,
>   
> {code}
> import pyarrow 
> arr = pyarrow.array([1, 2, 3, 4]) 
> pyarrow.serialize(arr)
> {code}
> Traceback (most recent call last):
>  File "<stdin>", line 1, in <module>
>  File "pyarrow/serialization.pxi", line 337, in pyarrow.lib.serialize
>  File "pyarrow/serialization.pxi", line 136, in pyarrow.lib.SerializationContext._serialize_callback
>  pyarrow.lib.SerializationCallbackError: pyarrow does not know how to serialize objects of type <class 'pyarrow.lib.Int64Array'>.
> I am working Ray & modin project, using plasma to store Arrow objects. Lack of direct serialization support harms the performance, so I would like to push a PR to fix this problem.
> I wonder if it is welcome or is there someone else doing it?



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