[jira] [Commented] (SPARK-40066) ANSI mode: always return null on invalid access to map column

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

    [ https://issues.apache.org/jira/browse/SPARK-40066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17579200#comment-17579200 ] 

Apache Spark commented on SPARK-40066:
--------------------------------------

User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/37503

> ANSI mode: always return null on invalid access to map column
> -------------------------------------------------------------
>
>                 Key: SPARK-40066
>                 URL: https://issues.apache.org/jira/browse/SPARK-40066
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.4.0
>            Reporter: Gengliang Wang
>            Assignee: Gengliang Wang
>            Priority: Major
>
> Since https://github.com/apache/spark/pull/30386, Spark always throws an error on invalid access to a map column. There is no such syntax in the ANSI SQL standard since there is no Map type in it. There is a similar type `multiset` which returns null on non-existing element access.
> Also, I investigated PostgreSQL/Snowflake/Biguqery and all of them returns null return on map(json) key not exists.
> I suggest loosen the the syntax here. When users get the error, most of them will just use `try_element_at()` to get the same syntax or just turn off the ANSI SQL mode.



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