Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/12952#discussion_r62352447
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -394,7 +405,7 @@ class Dataset[T] private[sql](
* @group basic
* @since 1.6.0
*/
- def schema: StructType = queryExecution.analyzed.schema
+ def schema: StructType = resolvedTEncoder.schema
--- End diff --
I'm kind of worried about it. We can't guarantee encoder's schema is always
same with plan's schema(in this PR we add a project to try to make them
consistent, but it can't handle inner field). If they are different, users may
select a un-exist column which exists in schema.
cc @marmbrus
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