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https://issues.apache.org/jira/browse/ARROW-11120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17258106#comment-17258106
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Joris Van den Bossche commented on ARROW-11120:
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[~lgautier] Your summary workflow (and linked repo) doesn't seem to be using
the C interface, but trying to directly pass a pointer to an actual Arrow C++
array?
Just to be sure, did you see the {{_export_to_c}} (eg at
https://github.com/apache/arrow/blob/master/python/pyarrow/array.pxi#L1236-L1289),
which gives you the raw pointer from the C interface. The R arrow package
should be able to create a R object from this AFAIK.
There are also some tests using CFFI in python to interact with the C
interface:
https://github.com/apache/arrow/blob/master/python/pyarrow/tests/test_cffi.py
(note I don't know the internals of rpy2, so not sure of any of those pointers
is relevant here)
> [Python][R] Prove out plumbing to pass data between Python and R using rpy2
> ---------------------------------------------------------------------------
>
> Key: ARROW-11120
> URL: https://issues.apache.org/jira/browse/ARROW-11120
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python, R
> Reporter: Wes McKinney
> Priority: Major
>
> Per discussion on the mailing list, we should see what is required (if
> anything) to be able to pass data structures using the C interface between
> Python and R from the perspective of the Python user using rpy2. rpy2 is sort
> of the Python version of reticulate. Unit tests will then validate that it's
> working
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