cloud-fan commented on code in PR #58269:
URL: https://github.com/apache/spark/pull/58269#discussion_r3935971993


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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InlineCTE.scala:
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@@ -89,29 +89,55 @@ case class InlineCTE(
   }
 
   private def validateNoOuterReferencesAcrossCTEBoundary(cteDef: 
CTERelationDef): Unit = {
-    val outerRefs = cteDef.child.flatMap(
-      _.expressions.flatMap(_.collect { case o: OuterReference => o }))
-    if (outerRefs.nonEmpty) {
+    // Only an outer reference that actually escapes the CTE definition is 
invalid. An outer
+    // reference that points to an attribute produced by an operator inside 
the definition
+    // body (e.g. a correlated subquery whose correlated column lives in the 
body) does not
+    // escape, so the definition is self-contained and safe to materialize. 
Walk the whole
+    // definition (main tree plus nested subquery plans) once, collect every 
attribute bound
+    // anywhere in the definition, and reject only references that resolve to 
none of them.
+    //
+    // Matching by exprId is exact for plans produced by a single analysis 
pass: every
+    // `OuterReference` wraps the very attribute it binds to, exprIds are 
allocated fresh
+    // per resolution, and `DeduplicateRelations` rewrites duplicated relation 
instances
+    // (self-join, union, etc.) with fresh exprIds before the optimizer runs. 
The known
+    // residual gap is a plan stitched together from already-analyzed plans 
(e.g. a producer
+    // embedding the same analyzed dataset twice): such a tree can carry the 
same exprId in
+    // multiple places, so an escaping reference could match a duplicated 
exprId and slip
+    // through. Such a query is ill-formed and fails later during planning or 
execution
+    // anyway; this check is defense-in-depth that fails fast with a clear 
error otherwise.
+    val allNodes = cteDef.child.collectWithSubqueries { case n: LogicalPlan => 
n }
+    val boundExprIds = allNodes.iterator
+      .flatMap(_.output.filter(_.resolved).map(_.exprId))

Review Comment:
   Thanks for tracing the analyzer contract here. I agree that both masking 
shapes require bypassing analysis: projected outer references are aliased, 
conflicting embedded plans are deduplicated before optimization, and the 
residual stitched-plan limitation is documented. This resolves my concern.
   
   <!-- SPARK_DEV_REVIEW_REPLY 
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 -->



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