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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/12/22 13:09:00 UTC

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

    [ https://issues.apache.org/jira/browse/SPARK-37714?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17463797#comment-17463797 ] 

Apache Spark commented on SPARK-37714:
--------------------------------------

User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/34985

> 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
>            Priority: Major
>
> 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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