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https://issues.apache.org/jira/browse/SPARK-40277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen resolved SPARK-40277.
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Resolution: Invalid
This doesn't state any problem or specific change
> Use DataFrame's column for referring to DDL schema for from_csv() and
> from_json()
> ---------------------------------------------------------------------------------
>
> Key: SPARK-40277
> URL: https://issues.apache.org/jira/browse/SPARK-40277
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Jayant Kumar
> Priority: Major
> Original Estimate: 504h
> Remaining Estimate: 504h
>
> With spark's DataFrame api one has to explicitly pass the StrucType to
> functions like from_csv and from_json. This works okay in general.
> In certain circumstances when schema depends on the one of the DataFrame's
> field, it gets complicated and one has to switch to RDD. This requires
> additional libraries to be added with additional parsing logic.
> I am trying to explore a way to enable such use cases with DataFrame api and
> function itself.
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