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https://issues.apache.org/jira/browse/SPARK-35116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk resolved SPARK-35116.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32212
[https://github.com/apache/spark/pull/32212]
> The generated data fits the precision of DayTimeIntervalType in spark
> ---------------------------------------------------------------------
>
> Key: SPARK-35116
> URL: https://issues.apache.org/jira/browse/SPARK-35116
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: jiaan.geng
> Assignee: jiaan.geng
> Priority: Major
> Fix For: 3.2.0
>
>
> The precision of java.time.Duration is nanosecond, but when it is used as
> DayTimeIntervalType in Spark, it is microsecond.
> At present, the DayTimeIntervalType data generated in the implementation of
> RandomDataGenerator is accurate to nanosecond, which will cause the
> DayTimeIntervalType to be converted to long, and then back to
> DayTimeIntervalType to lose the accuracy, which will cause the test to fail.
> For example:
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/137390/testReport/org.apache.spark.sql.hive.execution/HashAggregationQueryWithControlledFallbackSuite/udaf_with_all_data_types/
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