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https://issues.apache.org/jira/browse/SPARK-37692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37692:
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Assignee: (was: Apache Spark)
> sql-migration-guide wrong description
> -------------------------------------
>
> Key: SPARK-37692
> URL: https://issues.apache.org/jira/browse/SPARK-37692
> Project: Spark
> Issue Type: Documentation
> Components: Documentation
> Affects Versions: 3.2.0
> Reporter: JacobZheng
> Priority: Trivial
>
> Description in the documentation:
> {code:java}
> In Spark 3.2, the unit list interval literals can not mix year-month fields
> (YEAR and MONTH) and day-time fields (WEEK, DAY, …, MICROSECOND). For
> example, INTERVAL 1 day 1 hour is invalid in Spark 3.2. In Spark 3.1 and
> earlier, there is no such limitation and the literal returns value of
> CalendarIntervalType. To restore the behavior before Spark 3.2, you can set
> spark.sql.legacy.interval.enabled to true. {code}
> ”INTERVAL 1 day 1 hour is invalid in Spark 3.2.“
> Is this example correct? According to the description of DayTimeIntervalType,
> INTERVAL 1 day 1 hour is valid in Spark 3.2
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