Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/5505#discussion_r28349026
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
---
@@ -117,6 +117,15 @@ abstract class LogicalPlan extends
QueryPlan[LogicalPlan] with Logging {
resolve(name, children.flatMap(_.output), resolver, throwErrors)
/**
+ * Optionally resolves the given string (`name`) to a
[[NamedExpression]] using the input
+ * from all child nodes of this LogicalPlan. The given string is
considered a string literal,
+ * i.e. the string itself should match the attribute name and the
attribute name alone.
+ */
+ def resolveQuoted(name: String, resolver: Resolver):
Option[NamedExpression] = {
+ output.find { attribute => resolver(name, attribute.name) }
--- End diff --
You can't always know if something is going to be ambiguous when you create
the DataFrame as it might only be ambiguous at query time due to a setting like
case sensitivity.
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