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Posted to dev@arrow.apache.org by "Siyuan Zhuang (JIRA)" <ji...@apache.org> on 2018/10/22 19:00:00 UTC
[jira] [Created] (ARROW-3587) Efficient serialization for Arrow
Objects (array, table, tensor, etc)
Siyuan Zhuang created ARROW-3587:
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Summary: 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
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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