Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/10260#discussion_r47321487
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
---
@@ -251,6 +251,27 @@ case class ExpressionEncoder[T](
val plan = Project(Alias(unbound, "")() :: Nil, LocalRelation(schema))
val analyzedPlan = SimpleAnalyzer.execute(plan)
+ if (!analyzedPlan.resolved) {
+ // We couldn't resolve, this means something is wrong with the
schemas.
+ analyzedPlan match {
+ case p @ Project(projectList, _) => {
+ p.projectList.foreach { e: NamedExpression => e.foreach { _
match {
+ case u @ UpCast(child, dataType, walkedTypePath) => {
+ throw new AnalysisException(s"Cannot resolve
`${child.prettyString}`. " +
+ "The type path of the target object is:\n" +
+ walkedTypePath.mkString("", "\n", "\n") +
+ "Ensure that the input schema contains this field.\n -
Input schema is " +
+ schema.map(_.simpleString).mkString(", "))
--- End diff --
should we also provide the type information of attributes in `schema`?
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