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https://issues.apache.org/jira/browse/SPARK-49570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hövell reassigned SPARK-49570:
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Assignee: Herman van Hövell
> Use agnostic encoders instead of expression encoders in user facing API
> -----------------------------------------------------------------------
>
> Key: SPARK-49570
> URL: https://issues.apache.org/jira/browse/SPARK-49570
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Herman van Hövell
> Assignee: Herman van Hövell
> Priority: Major
>
> ExpressionEncoders are quite heavily used in the classic Dataset and
> KeyValueGroupedDataset. Because of the move to sql/api most of the user
> provided are in fact AgnosticEncoders, this is mostly fine but in some cases
> this leads to situations where we try to combine the two which does not work.
> Actual ExpressionEncoders are generally only needed inside the engine, or for
> collecting results. We should try to limit them to these use cases.
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