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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