Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/7478#discussion_r34944166
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
---
@@ -235,10 +254,13 @@ abstract class LogicalPlan extends
QueryPlan[LogicalPlan] with Logging {
}
}
+
// If none of attributes match `table.column` pattern, we try to
resolve it as a column.
if (candidates.isEmpty) {
candidates = input.flatMap { candidate =>
resolveAsColumn(nameParts, resolver, candidate)
+ } ++ input.flatMap { candidate =>
+ resolveAsVirtualColumn(nameParts, resolver, candidate)
--- End diff --
Actually, I am thinking we can have something like
```
// If none of attributes match `table.column` pattern, we try to resolve it
as a column.
if (candidates.isEmpty) {
candidates = input.flatMap { candidate =>
resolveAsColumn(nameParts, resolver, candidate)
}
}
// If none of attributes match `column` pattern, we try to resolve it as a
virtual column.
if (candidates.isEmpty) {
candidates = input.flatMap { candidate =>
resolveAsVirtualColumn(nameParts, resolver)
}
}
```
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