Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/4105#discussion_r122712259
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/api/java/BatchTableEnvironment.scala
---
@@ -192,10 +193,14 @@ class BatchTableEnvironment(
name: String,
f: AggregateFunction[T, ACC])
: Unit = {
- implicit val typeInfo: TypeInformation[T] = TypeExtractor
- .createTypeInfo(f, classOf[AggregateFunction[T, ACC]], f.getClass, 0)
+ implicit val typeInfo: TypeInformation[T] = UserDefinedFunctionUtils
+ .getResultTypeOfAggregateFunction(f)
.asInstanceOf[TypeInformation[T]]
+ implicit val accTypeInfo: TypeInformation[ACC] =
UserDefinedFunctionUtils
--- End diff --
UDAGGs are sometimes also shared in libraries. If a UDAGG class is included
in a JAR file and loaded into the classpath, a user can hardly tell whether it
is implemented in Java or Scala. So, I would not prohibit Scala UDFs in Jave
environments. However, functions which are intended to be shared should be
implemented with Java types.
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