Github user alg-jmx commented on a diff in the pull request:
https://github.com/apache/spark/pull/16765#discussion_r123665818
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala
---
@@ -175,6 +175,7 @@ object Literal {
case map: MapType => create(Map(), map)
case struct: StructType =>
create(InternalRow.fromSeq(struct.fields.map(f =>
default(f.dataType).value)), struct)
+ case udt: UserDefinedType[_] => default(udt.sqlType)
--- End diff --
I use spark version 2.1.1, df.except(dataSet) still throw exception like
java.lang.RuntimeException: no default for type
org.apache.spark.ml.linalg.VectorUDT@3bfc3ba7, why? thanks
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