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https://issues.apache.org/jira/browse/ARROW-15026?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Will Jones resolved ARROW-15026.
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Fix Version/s: 11.0.0
Resolution: Fixed
Issue resolved by pull request 13718
[https://github.com/apache/arrow/pull/13718]
> [Python] datetime.timedelta to pyarrow.duration('us') silently overflows
> ------------------------------------------------------------------------
>
> Key: ARROW-15026
> URL: https://issues.apache.org/jira/browse/ARROW-15026
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Andreas Rappold
> Assignee: Anja Boskovic
> Priority: Major
> Labels: pull-request-available
> Fix For: 11.0.0
>
> Time Spent: 2h 40m
> Remaining Estimate: 0h
>
>
> Hi! This reproduces the issue:
> {code:java}
> # python 3.9.9
> # pyarrow 6.0.1
> import datetime
> import pyarrow
> d = datetime.timedelta(days=-106751992, seconds=71945, microseconds=224192)
> pyarrow.scalar(d)
> # <pyarrow.DurationScalar: datetime.timedelta(days=-106751992, seconds=71945,
> microseconds=224192)>
> pyarrow.scalar(d).as_py() == d
> # True
> d2 = d - datetime.timedelta(microseconds=1)
> pyarrow.scalar(d2)
> # <pyarrow.DurationScalar: datetime.timedelta(days=106751991, seconds=14454,
> microseconds=775807)>
> pyarrow.scalar(d2).as_py() == d2
> # False{code}
> Other conversions (e.g. to int*) raise an exception instead. I didn't check
> if duration overflows for too large timedeltas. If its easy to fix, point me
> in the right direction and I try to create a PR. Thanks
>
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