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https://issues.apache.org/jira/browse/SPARK-35827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk resolved SPARK-35827.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32978
[https://github.com/apache/spark/pull/32978]
> Show proper error message when update column types to year-month/day-time
> interval
> ----------------------------------------------------------------------------------
>
> Key: SPARK-35827
> URL: https://issues.apache.org/jira/browse/SPARK-35827
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Kousuke Saruta
> Assignee: Apache Spark
> Priority: Major
> Fix For: 3.2.0
>
>
> Updating column types to interval types are prohibited for V2 source tables.
> So, if we attempt to update the type of a column to the conventional interval
> type, an error message like "Error in query: Cannot update <table> field
> <column> to interval type;".
> But, for year-month/day-time interval types, another error message like
> "Error in query: Cannot update <table> field <column>:<type> cannot be cast
> to interval year;"
> It's not consistent.
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