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https://issues.apache.org/jira/browse/SPARK-19311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15831888#comment-15831888
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Liang-Chi Hsieh commented on SPARK-19311:
-----------------------------------------
[~Gregor Moehler] I think you already have the fixing. Can you directly submit
the PR? Thanks.
> UDFs disregard UDT type hierarchy
> ---------------------------------
>
> Key: SPARK-19311
> URL: https://issues.apache.org/jira/browse/SPARK-19311
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Gregor Moehler
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> When you define UDTs based on hierarchical traits UDFs disregard the type
> hierarchy:
> E.g. I have 2 UDTs based on 2 hierarchical traits. I then define 2 UDFs: The
> first one returns the derived type, the second takes the base type. This
> results in an error, although i believe it should be feasible:
> {quote}
> (...)cannot resolve 'UDF(UDF(22))' due to data type mismatch: argument 1
> requires exampleBaseType type, however, 'UDF(22)' is of exampleFirstSubType
> type.
> {quote}
> The reason is that DataType defines
> {quote}
> override private[sql] def acceptsType(dataType: DataType) =
> this.getClass == dataType.getClass
> {quote}
> However I believe it should be:
> {quote}
> override private[sql] def acceptsType(dataType: DataType) = dataType match \{
> case other: UserDefinedType[_] =>
> this.getClass == other.getClass ||
> this.userClass.isAssignableFrom(other.userClass)
> case _ => false
> \}
> {quote}
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