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https://issues.apache.org/jira/browse/ARROW-10799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243424#comment-17243424
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David Li commented on ARROW-10799:
----------------------------------
Not any simple one that I know of, unfortunately. I think you could do it by
translating the indices into offsets into individual record batches, then
calling take on each record batch, building up a new chunked array. I had
started working on implementing this in C++ but haven't had the time to finish
it.
> [C++] Take on string chunked arrays slow and fails
> --------------------------------------------------
>
> Key: ARROW-10799
> URL: https://issues.apache.org/jira/browse/ARROW-10799
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++
> Reporter: Maarten Breddels
> Priority: Major
>
>
> {code:java}
> import pyarrow as pa
> a = pa.array(['a'] * 2**26)
> c = pa.chunked_array([a] * 2*18)
> c.take([0, 1])
> {code}
> Gives
> {noformat}
> ----------------------------------------
> ArrowInvalidTraceback (most recent call last)
> <ipython-input-4-57099ee02815> in <module>
> ----> 1 c.take([0, 1])
> ~/github/apache/arrow/python/pyarrow/table.pxi in
> pyarrow.lib.ChunkedArray.take()
> ~/github/apache/arrow/python/pyarrow/compute.py in take(data, indices,
> boundscheck, memory_pool)
> 421 """
> 422 options = TakeOptions(boundscheck=boundscheck)
> --> 423 return call_function('take', [data, indices], options,
> memory_pool)
> 424
> 425
> ~/github/apache/arrow/python/pyarrow/_compute.pyx in
> pyarrow._compute.call_function()
> ~/github/apache/arrow/python/pyarrow/_compute.pyx in
> pyarrow._compute.Function.call()
> ~/github/apache/arrow/python/pyarrow/error.pxi in
> pyarrow.lib.pyarrow_internal_check_status()
> ~/github/apache/arrow/python/pyarrow/error.pxi in pyarrow.lib.check_status()
> ArrowInvalid: offset overflow while concatenating arrays
> {noformat}
>
> PS: did not check master but 3.0.0.dev238+gb0bc9f8d
>
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