You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/08/06 09:17:00 UTC

[jira] [Commented] (SPARK-36445) ANSI type coercion rule for date time operations

    [ https://issues.apache.org/jira/browse/SPARK-36445?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17394649#comment-17394649 ] 

Apache Spark commented on SPARK-36445:
--------------------------------------

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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org