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https://issues.apache.org/jira/browse/ARROW-2660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Antoine Pitrou updated ARROW-2660:
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Description:
PEP 574 has an implementation ready and a PyPI-available backport (at
[https://pypi.org/project/pickle5/] ). Adding experimental support for it would
allow for zero-copy pickling of Arrow arrays, columns, etc.
I think it mainly involves implementing {{reduce_ex}} on the {{Buffer}} class,
as described in [https://www.python.org/dev/peps/pep-0574/#producer-api]
In addition, the consumer API added by PEP 574 could be used in Arrow's
serialization layer, to avoid or minimize copies when serializing foreign
objects.
was:
PEP 574 has an implementation ready and a PyPI-available backport (at
[https://pypi.org/project/pickle5/] ). Adding experimental support for it would
allow for zero-copy pickling of Arrow arrays, columns, etc.
I think it mainly involves implementing {{reduce_ex}} on the {{Buffer}} class,
as described in [https://www.python.org/dev/peps/pep-0574/#producer-api]
In addition, the consumer API added by PEP 574 could be used in Arrow's
serialization array, to avoid or minimize copies when serializing foreign
objects.
> [Python] Experiment with zero-copy pickling
> -------------------------------------------
>
> Key: ARROW-2660
> URL: https://issues.apache.org/jira/browse/ARROW-2660
> Project: Apache Arrow
> Issue Type: Wish
> Components: Python
> Affects Versions: 0.9.0
> Reporter: Antoine Pitrou
> Priority: Major
>
> PEP 574 has an implementation ready and a PyPI-available backport (at
> [https://pypi.org/project/pickle5/] ). Adding experimental support for it
> would allow for zero-copy pickling of Arrow arrays, columns, etc.
> I think it mainly involves implementing {{reduce_ex}} on the {{Buffer}}
> class, as described in
> [https://www.python.org/dev/peps/pep-0574/#producer-api]
> In addition, the consumer API added by PEP 574 could be used in Arrow's
> serialization layer, to avoid or minimize copies when serializing foreign
> objects.
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