Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/15979#discussion_r89936859 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala --- @@ -47,6 +47,14 @@ object ExpressionEncoder { // We convert the not-serializable TypeTag into StructType and ClassTag. val mirror = typeTag[T].mirror val tpe = typeTag[T].tpe + + if (ScalaReflection.optionOfNonFlatType(tpe)) { + throw new UnsupportedOperationException( + "Cannot create encoder for Option of non-flat type, as non-flat type is represented " + + "as a row, and the entire row can not be null in Spark SQL like normal databases. " + + "You can wrap your type with Tuple1 if you do want top level null objects.") --- End diff -- Let's provide an example in the error message to help users understand how to handle this case.
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