Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9840#discussion_r46002027
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
---
@@ -235,12 +236,13 @@ case class ExpressionEncoder[T](
val plan = Project(Alias(unbound, "")() :: Nil, LocalRelation(schema))
val analyzedPlan = SimpleAnalyzer.execute(plan)
+ val optimizedPlan = SimplifyCasts(analyzedPlan)
--- End diff --
Probably not a `SQLContext` but a `CatalystConfig` would be reasonable. I
wonder if it should be a different setting than SQL case sensitivity resolution?
On one hand, Scala/Java are always case sensitive so it seems reasonable to
preserve that. On the other hand if you loading from something like hive it
would be annoying to have to fix all the columns by hand.
@rxin, thoughts?
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