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https://issues.apache.org/jira/browse/SPARK-60573?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-60573:
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Labels: pull-request-available (was: )
> Preserve the full day-time interval range in Spark Connect Arrow decoding
> -------------------------------------------------------------------------
>
> Key: SPARK-60573
> URL: https://issues.apache.org/jira/browse/SPARK-60573
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 5.0.0
> Reporter: Linhong Liu
> Priority: Major
> Labels: pull-request-available
>
> Spark Connect's JVM Arrow reader silently changes large day-time intervals
> when decoding results. Spark stores day-time intervals as signed 64-bit
> microsecond counts. Arrow DurationVector.getObject converts microseconds
> through a signed 64-bit nanosecond count, which saturates for valid large
> Spark intervals.
> For example, a duration of 10000000000000000 microseconds is decoded as
> approximately 9223372036854775 microseconds. Values at both ends of Spark's
> interval range are affected.
> Read the raw microseconds and use SparkIntervalUtils.microsToDuration so the
> conversion retains the full supported interval range. The Arrow schema and
> wire representation remain unchanged.
> Regression coverage should include Long.MinValue, Long.MaxValue, small
> positive and negative values, zero, NULL, and interval-to-string decoding.
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