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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