[
https://issues.apache.org/jira/browse/ARROW-11120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17257843#comment-17257843
]
Laurent commented on ARROW-11120:
---------------------------------
I looked at it. It seems that all all that is needed it is to:
# get the `shared_ptr` from a Arrow object (e.g., `pyarrow_unwrap_array`
available with `pyarrow`'s Cython interface)
# wrap this `shared_ptr` into an R C-level "External Pointer".
# load the R package "arrow" in the embedded R
# create an new instance of the matching class using the "External Pointer"
(e.g., `Array$new(external_ptr)`)
The only possible difficulty is to either:
* resolve how to get Cython and `cffi` to cooperate (rpy2 is using `cffi`)
* figure out how to get functions like `pyarrow_unwrap_array` easy to call
from a C-extension
> [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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
