[
https://issues.apache.org/jira/browse/SPARK-37714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-37714:
------------------------------------
Assignee: Gengliang Wang (was: Apache Spark)
> 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)}}
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
