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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/01/25 16:28:28 UTC
[jira] [Resolved] (SPARK-19311) UDFs disregard UDT type hierarchy
[ https://issues.apache.org/jira/browse/SPARK-19311?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li resolved SPARK-19311.
-----------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> 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
> Assignee: Gregor Moehler
> Fix For: 2.1.1, 2.2.0
>
> 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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