[
https://issues.apache.org/jira/browse/ARROW-18129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17634821#comment-17634821
]
Alenka Frim commented on ARROW-18129:
-------------------------------------
Yes, in case of using conda the Arrow C++ headers are not found in the python
package ({{{}pyarrow/include){}}} due to conda recipe using
{{{}PYARROW_BUNDLE_ARROW_CPP_HEADERS=0{}}}, see:
[https://github.com/apache/arrow/blob/16fd7f3fabbe663c161899d197deb66a7ec188b5/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.sh#L11]
With Apache Arrow 10.0.0 the C++ code connected to PyArrow (PyArrow C++) has
been moved to the python package and so the header files for PyArrow C++ should
always be included in the package itself. To track that work we created another
issue https://issues.apache.org/jira/browse/ARROW-18340.
Regarding the headers for Arrow C++: we should add info in the
documentation/docstrings to make it clear that the Arrow C+ header files are
not located in the python package if one is using conda.
We could also add {{$CONDA_PREFIX/include/arrow}} path in the {{get_include()}}
function if one is using conda. [~apitrou] what is your opinion on that?
> [Python] get_include() gives wrong directory in conda environment
> -----------------------------------------------------------------
>
> Key: ARROW-18129
> URL: https://issues.apache.org/jira/browse/ARROW-18129
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 9.0.0
> Environment: conda
> Reporter: Left Screen
> Priority: Critical
> Labels: triaged
>
> {{get_include}} seems to do:
>
> {code:java}
> def get_include():
> """
> Return absolute path to directory containing Arrow C++ include
> headers. Similar to numpy.get_include
> """
> return _os.path.join(_os.path.dirname(__file__), 'include') {code}
> This returns something like:
> {code:java}
> /path/to/myconda/envs/envname/lib/python3.8/site-packages/pyarrow/include{code}
> which does not exist in a conda environment. The path where the headers
> actually get installed is to:
>
> {code:java}
> $ echo $CONDA_PREFIX
> /path/to/myconda/envs/envname
> $ ls $CONDA_PREFIX/include/arrow | head
> adapters
> api.h
> array
> array.h
> buffer_builder.h
> buffer.h
> builder.h
> c
> chunked_array.h
> chunk_resolver.h
> {code}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
