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https://issues.apache.org/jira/browse/ARROW-1715?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Uwe L. Korn updated ARROW-1715:
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Summary: [Python] Implement pickling for Column, ChunkedArray, RecordBatch,
Table (was: [Python] Implement pickling for Array, Column, ChunkedArray,
RecordBatch, Table)
> [Python] Implement pickling for Column, ChunkedArray, RecordBatch, Table
> ------------------------------------------------------------------------
>
> Key: ARROW-1715
> URL: https://issues.apache.org/jira/browse/ARROW-1715
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Wes McKinney
> Priority: Major
> Labels: beginner
> Fix For: 0.10.0
>
>
> At the moment the types
> {{pyarrow.Array/Column/ChunkedArray/RecordBatch/Table}} cannot be pickled.
> Although it may not be the fastest way to transport them from one process to
> another, it is a very comfortable one. We should implement a {{__reduce__()}}
> for all of them. For Array, this means that we need to pickle the buffers and
> save the array type with them. The other classes require the pickling of the
> Array class and will need to store the addditional metadata like the schema
> also in the pickle data.
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