Ngone51 commented on a change in pull request #29166:
URL: https://github.com/apache/spark/pull/29166#discussion_r457914730
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
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@@ -1237,20 +1249,44 @@ class Analyzer(
if (conflictPlans.isEmpty) {
right
} else {
- val attributeRewrites = AttributeMap(conflictPlans.flatMap {
- case (oldRelation, newRelation) =>
oldRelation.output.zip(newRelation.output)})
- val conflictPlanMap = conflictPlans.toMap
- // transformDown so that we can replace all the old Relations in one
turn due to
- // the reason that `conflictPlans` are also collected in pre-order.
- right transformDown {
- case r => conflictPlanMap.getOrElse(r, r)
- } transformUp {
- case other => other transformExpressions {
+ rewritePlan(right, conflictPlans.toMap)._1
+ }
+ }
+
+ private def rewritePlan(plan: LogicalPlan, conflictPlanMap:
Map[LogicalPlan, LogicalPlan])
+ : (LogicalPlan, mutable.ArrayBuffer[(Attribute, Attribute)]) = {
Review comment:
We can return `Seq` here. But I think it's not needed if the
`attrMapping` below is still an `Arraybuffer`. Or, you mean the `attrMapping`
could also be `Seq`? (Please also note the `attrMapping` has to be an mutable
collection anyway.)
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