[jira] [Commented] (SPARK-37179) ANSI mode: Allow casting between Timestamp and Numeric

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-37179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17436858#comment-17436858 ] 

Apache Spark commented on SPARK-37179:
--------------------------------------

User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/34459

> ANSI mode: Allow casting between Timestamp and Numeric
> ------------------------------------------------------
>
>                 Key: SPARK-37179
>                 URL: https://issues.apache.org/jira/browse/SPARK-37179
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: Gengliang Wang
>            Assignee: Gengliang Wang
>            Priority: Major
>
> We should allow the casting between Timestamp and Numeric types:
> * 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)`. 
> * The Spark SQL connector for Tableau is using this feature for DateTime math. e.g.
> {code:java}
> CAST(FROM_UNIXTIME(CAST(CAST(%1 AS BIGINT) + (%2 * 86400) AS BIGINT)) AS TIMESTAMP)
> {code}
> * In the current syntax, we specially allow Numeric <=> Boolean and String <=> Binary since they are straight forward and frequently used.  I suggest we allow Timestamp <=> Numeric as well for better ANSI mode adoption.



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