cloud-fan commented on code in PR #50304:
URL: https://github.com/apache/spark/pull/50304#discussion_r2003469290
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala:
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@@ -1031,18 +1036,39 @@ class Analyzer(override val catalogManager:
CatalogManager) extends RuleExecutor
private def addMetadataCol(
plan: LogicalPlan,
- requiredAttrIds: Set[ExprId]): LogicalPlan = plan match {
+ requiredAttrIds: Set[ExprId],
+ onlyUniqueAndNecessaryMetadataColumns: Boolean = true): LogicalPlan =
plan match {
case s: ExposesMetadataColumns if s.metadataOutput.exists( a =>
requiredAttrIds.contains(a.exprId)) =>
s.withMetadataColumns()
case p: Project if p.metadataOutput.exists(a =>
requiredAttrIds.contains(a.exprId)) =>
+ val existingExprIds = new util.HashSet[ExprId]
+ p.projectList.foreach(attr => existingExprIds.add(attr.exprId))
+
+ val uniqueMetadataColumns = if (onlyUniqueAndNecessaryMetadataColumns)
{
Review Comment:
how about
```
val uniqueMetadataColumns = if (onlyUniqueAndNecessaryMetadataColumns) {
val actualRequiredAttrIds = mutable.HashSet(requiredAttrIds)
p.projectList.foreach(ne => actualRequiredAttrIds.remove(ne.exprId))
p.metadataOutput.filter(attr =>
actualRequiredAttrIds.contains(attr.exprId))
} else {
p.metadataOutput.
}
```
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