Github user lianhuiwang commented on a diff in the pull request:
https://github.com/apache/spark/pull/6723#discussion_r32112388
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala
---
@@ -81,6 +82,8 @@ private[hive] case class HiveSimpleUdf(funcWrapper:
HiveFunctionWrapper, childre
override def nullable: Boolean = true
+ override def checkInputDataTypes(): TypeCheckResult =
TypeCheckResult.TypeCheckSuccess
--- End diff --
i think we do not need to check data types for hive udf. because that be
done in protected lazy val method =
function.getResolver.getEvalMethod(children.map(_.dataType.toTypeInfo))
if data types are mismatched, this function will throw
NoMatchingMethodException.
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