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https://issues.apache.org/jira/browse/ARROW-15928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Krisztian Szucs resolved ARROW-15928.
-------------------------------------
Resolution: Fixed
Issue resolved by pull request 12802
[https://github.com/apache/arrow/pull/12802]
> [C++][Python] replace_with_mask seg faults when passed ChunkedArray
> -------------------------------------------------------------------
>
> Key: ARROW-15928
> URL: https://issues.apache.org/jira/browse/ARROW-15928
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 5.0.0, 6.0.0, 6.0.1, 7.0.0
> Reporter: Luke Manley
> Assignee: David Li
> Priority: Critical
> Labels: good-second-issue, kernel, pull-request-available
> Fix For: 8.0.0
>
> Time Spent: 1h
> Remaining Estimate: 0h
>
> It looks like most compute functions that take an array-like can accept a
> ChunkedArray as well. One exception to that appears to be replace_with_mask
> which seems to seg fault when the array-like is a chunked array. Here is an
> example:
>
>
> {code:java}
> import pyarrow as pa
> import pyarrow.compute as pc
> ca = pa.chunked_array([[1, 2], [3, 4]])
> mask = [False, True, False, True]
> # works (when we first combine chunks into a single array)
> a_new = pc.replace_with_mask(ca.combine_chunks(), mask, 0)
> # seg fault (if we try to pass the chunked array)
> ca_new = pc.replace_with_mask(ca, mask, 0){code}
>
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