cloud-fan commented on a change in pull request #34929:
URL: https://github.com/apache/spark/pull/34929#discussion_r779653096



##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushdownPredicatesAndPruneColumnsForCTEDef.scala
##########
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.optimizer
+
+import scala.collection.mutable
+
+import org.apache.spark.sql.catalyst.expressions.{And, Attribute, 
AttributeSet, Expression, Literal, Or, SubqueryExpression}
+import org.apache.spark.sql.catalyst.planning.ScanOperation
+import org.apache.spark.sql.catalyst.plans.logical._
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.catalyst.trees.TreePattern.CTE
+
+/**
+ * Infer predicates and column pruning for [[CTERelationDef]] from its 
reference points, and push
+ * the disjunctive predicates as well as the union of attributes down the CTE 
plan.
+ */
+object PushdownPredicatesAndPruneColumnsForCTEDef extends Rule[LogicalPlan] {
+
+  // CTE_id - (CTE_definition, precedence, predicates_to_push_down, 
attributes_to_prune)
+  private type CteMap = mutable.HashMap[Long, (CTERelationDef, Int, 
Seq[Expression], AttributeSet)]
+
+  override def apply(plan: LogicalPlan): LogicalPlan = {
+    if (!plan.isInstanceOf[Subquery] && plan.containsPattern(CTE)) {
+      val cteMap = new CteMap
+      gatherPredicatesAndAttributes(plan, cteMap)
+      pushdownPredicatesAndAttributes(plan, cteMap)
+    } else {
+      plan
+    }
+  }
+
+  private def reverseMapExpressions(
+      input: Seq[Expression],
+      mapping: Map[Attribute, Expression]): Seq[Expression] = {
+    input.map(e => e.transform {
+      case a: Attribute =>
+        mapping.keys.find(_.semanticEquals(a)).map(mapping).getOrElse(a)
+    })
+  }
+
+  /**
+   * Gather all the predicates and referenced attributes on different points 
of CTE references
+   * using pattern `ScanOperation` (which takes care of determinism) and 
combine those predicates
+   * and attributes that belong to the same CTE definition.
+   * For the same CTE definition, if any of its references does not have 
predicates, the combined
+   * predicate will be a TRUE literal, which means there will be no predicate 
push-down.
+   */
+  private def gatherPredicatesAndAttributes(plan: LogicalPlan, cteMap: 
CteMap): Unit = {
+    plan match {
+      case WithCTE(child, cteDefs) =>
+        cteDefs.zipWithIndex.foreach { case (cteDef, precedence) =>
+          gatherPredicatesAndAttributes(cteDef.child, cteMap)
+          cteMap.put(cteDef.id, (cteDef, precedence, Seq.empty, 
AttributeSet.empty))
+        }
+        gatherPredicatesAndAttributes(child, cteMap)
+
+      case ScanOperation(projects, predicates, ref: CTERelationRef) =>
+        val (cteDef, precedence, preds, attrs) = cteMap(ref.cteId)
+        val mapping = ref.output.zip(cteDef.output).map{ case (r, d) => r -> d 
}.toMap

Review comment:
       ```suggestion
           val mapping = ref.output.zip(cteDef.output).map { case (r, d) => r 
-> d }.toMap
   ```




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