Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/13469#discussion_r65643344
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
---
@@ -52,8 +52,15 @@ object ExpressionEncoder {
val cls = mirror.runtimeClass(tpe)
val flat = !ScalaReflection.definedByConstructorParams(tpe)
- val inputObject = BoundReference(0, ScalaReflection.dataTypeFor[T],
nullable = false)
- val serializer = ScalaReflection.serializerFor[T](inputObject)
+ val inputObject = BoundReference(0, ScalaReflection.dataTypeFor[T],
nullable = true)
+ val nullSafeInput = if (flat) {
+ inputObject
+ } else {
+ // For input object of non-flat type, we can't encode it to row if
it's null, as Spark SQL
+ // doesn't allow row to be null, only its columns can be null.
--- End diff --
> ... doesn't allow top-level row to be null, ...
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