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https://issues.apache.org/jira/browse/SPARK-36445?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17394649#comment-17394649
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Apache Spark commented on SPARK-36445:
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User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/33666
> ANSI type coercion rule for date time operations
> ------------------------------------------------
>
> Key: SPARK-36445
> URL: https://issues.apache.org/jira/browse/SPARK-36445
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
>
> Currently the type coercion rule `DateTimeOperations` doesn't match the
> design of the ANSI type coercion system:
> 1. For date_add/date_sub, if the input is timestamp type, Spark should not
> convert it into date type since date type is narrower than timestamp.
> 2. For date_add/date_sub/time_add, string value can be implicit cast to
> date/timestamp only when it is literal.
> Thus, we need to have a new rule for the date time operations in ANSI type
> coercion system.
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