[jira] [Created] (SPARK-37714) ANSI mode: allow casting between numeric type and datetime type by default

["Gengliang Wang (Jira)" <ji...@apache.org>]

Gengliang Wang created SPARK-37714:
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             Summary: ANSI mode: allow casting between numeric type and datetime type by default
                 Key: SPARK-37714
                 URL: https://issues.apache.org/jira/browse/SPARK-37714
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
    Affects Versions: 3.3.0
            Reporter: Gengliang Wang
            Assignee: Gengliang Wang


By default, allow casting between numeric type and datetime type under ANSI mode 

This is for better adoption of ANSI SQL mode:
 * As we did some data science, we found that many Spark SQL users are actually using {{Cast(Timestamp as Numeric)}} and {{{}Cast(Numeric as Timestamp){}}}. There are also some usages of {{{}Cast(Date as Numeric){}}}.
 * The Spark SQL connector for Tableau is using this feature for DateTime math. e.g.
{{CAST(FROM_UNIXTIME(CAST(CAST(%1 AS BIGINT) + (%2 * 86400) AS BIGINT)) AS TIMESTAMP)}}



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