[jira] [Created] (SPARK-13929) Use Scala reflection for UDFs

["Jakob Odersky (JIRA)" <ji...@apache.org>]

Jakob Odersky created SPARK-13929:
-------------------------------------

             Summary: Use Scala reflection for UDFs
                 Key: SPARK-13929
                 URL: https://issues.apache.org/jira/browse/SPARK-13929
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: Jakob Odersky
            Priority: Minor


{{ScalaReflection}} uses native Java reflection for User Defined Types which would fail if such types are not plain Scala classes that map 1:1 to Java.

Consider the following extract (from here https://github.com/apache/spark/blob/92024797a4fad594b5314f3f3be5c6be2434de8a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala#L376 ):
{code}
case t if Utils.classIsLoadable(className) &&
Utils.classForName(className).isAnnotationPresent(classOf[SQLUserDefinedType]) =>

val udt = Utils.classForName(className).getAnnotation(classOf[SQLUserDefinedType]).udt().newInstance()
//...
{code}

If {{t}}'s runtime class is actually synthetic (something that doesn't exist in Java and hence uses a dollar sign internally), such as nested classes or package objects, the above code will fail.

Currently there are no known use-cases of synthetic user-defined types (hence the minor priority), however it would be best practice to remove plain Java reflection and rely on Scala reflection instead.



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