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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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