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https://issues.apache.org/jira/browse/ARROW-2249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Todd Farmer reassigned ARROW-2249:
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Assignee: (was: Uwe Korn)
This issue was last updated over 90 days ago, which may be an indication it is
no longer being actively worked. To better reflect the current state, the issue
is being unassigned. Please feel free to re-take assignment of the issue if it
is being actively worked, or if you plan to start that work soon.
> [Java/Python] in-process vector sharing from Java to Python
> -----------------------------------------------------------
>
> Key: ARROW-2249
> URL: https://issues.apache.org/jira/browse/ARROW-2249
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Java, Python
> Reporter: Uwe Korn
> Priority: Major
> Labels: beginner
>
> Currently we seem to use in all applications of Arrow the IPC capabilities to
> move data between a Java process and a Python process. While this is
> 0-serialization, it is not zero-copy. By taking the address and offset, we
> can already create Python buffers from Java buffers:
> https://github.com/apache/arrow/pull/1693. This is still a very low-level
> interface and we should provide the user with:
> * A guide on how to load Apache Arrow java libraries in Python (either
> through a fat-jar that was shipped with Arrow or how he should integrate it
> into its Java packaging)
> * {{pyarrow.Array.from_jvm}}, {{pyarrow.RecordBatch.from_jvm}}, … functions
> that take the respective Java objects and emit Python objects. These Python
> objects should also ensure that the underlying memory regions are kept alive
> as long as the Python objects exist.
> This issue can also be used as a tracker for the various sub-tasks that will
> need to be done to complete this rather large milestone.
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