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https://issues.apache.org/jira/browse/SPARK-32087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wuyi updated SPARK-32087:
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Summary: Allow UserDefinedType to use encoder to deserialize rows in
ScalaUDF as well (was: Allow UserDenfinedType to use encoder to deserialize
rows in ScalaUDF as well)
> Allow UserDefinedType to use encoder to deserialize rows in ScalaUDF as well
> ----------------------------------------------------------------------------
>
> Key: SPARK-32087
> URL: https://issues.apache.org/jira/browse/SPARK-32087
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: wuyi
> Priority: Major
>
> Currently, we use CatalystTypeConverters for UserDenfinedType as a special
> case to deserialize rows. It's better to use ExpressionEncoder for
> consistency.
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