Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/14719#discussion_r77829253
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -524,11 +524,16 @@ class Analyzer(
val newRight = right transformUp {
case r if r == oldRelation => newRelation
} transformUp {
- case other => other transformExpressions {
- case a: Attribute =>
-
attributeRewrites.get(a).getOrElse(a).withQualifier(a.qualifier)
- }
+ case other =>
+ val transformed = other transformExpressions {
+ case a: Attribute =>
+
attributeRewrites.get(a).getOrElse(a).withQualifier(a.qualifier)
+ }
+
+ transformed.setPlanId(other.planId)
+ transformed
}
+ newRight.setPlanId(right.planId)
--- End diff --
ah I understand now. Different dataframes must have different logical
plans, the problem we are trying to fix is indirect self-join. For indirect
self-join, the `left` and `right` here must be different plans and have
different plan ids.
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