Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/5798#discussion_r29472499
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
---
@@ -158,7 +158,7 @@ abstract class LogicalPlan extends
QueryPlan[LogicalPlan] with Logging {
resolver: Resolver,
attribute: Attribute): Option[(Attribute, List[String])] = {
if (resolver(attribute.name, nameParts.head)) {
- Option((attribute.withName(nameParts.head), nameParts.tail.toList))
+ Option((attribute, nameParts.tail.toList))
--- End diff --
This is incorrect. Spark SQL is case insensitive but case preserving.
This behavior is important because we interface with systems that are case
sensitive (think DataFrames in python) and otherwise it is very confusing to
the user.
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