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https://issues.apache.org/jira/browse/SPARK-40066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40066:
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Assignee: Apache Spark (was: Gengliang Wang)
> 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: Apache Spark
> 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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