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Posted to jira@arrow.apache.org by "David Li (Jira)" <ji...@apache.org> on 2022/04/05 17:19:00 UTC
[jira] [Assigned] (ARROW-15928) [C++][Python] replace_with_mask seg faults when passed ChunkedArray
[ https://issues.apache.org/jira/browse/ARROW-15928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
David Li reassigned ARROW-15928:
--------------------------------
Assignee: David Li
> [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
> Fix For: 8.0.0
>
>
> 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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