c21 commented on a change in pull request #29804:
URL: https://github.com/apache/spark/pull/29804#discussion_r493877941



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/bucketing/DisableUnnecessaryBucketedScan.scala
##########
@@ -0,0 +1,157 @@
+/*
+ * 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.execution.bucketing
+
+import org.apache.spark.sql.catalyst.expressions.aggregate.{Partial, 
PartialMerge}
+import org.apache.spark.sql.catalyst.plans.physical.{ClusteredDistribution, 
HashClusteredDistribution}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.{FileSourceScanExec, FilterExec, 
ProjectExec, SortExec, SparkPlan}
+import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
+import org.apache.spark.sql.execution.exchange.Exchange
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * Disable unnecessary bucketed table scan based on actual physical query plan.
+ * NOTE: this rule is designed to be applied right after 
[[EnsureRequirements]],
+ * where all [[ShuffleExchangeExec]] and [[SortExec]] have been added to plan 
properly.
+ *
+ * When BUCKETING_ENABLED and AUTO_BUCKETED_SCAN_ENABLED are set to true, go 
through
+ * query plan to check where bucketed table scan is unnecessary, and disable 
bucketed table
+ * scan if needed.
+ *
+ * For all operators which [[hasInterestingPartition]] (i.e., require 
[[ClusteredDistribution]]
+ * or [[HashClusteredDistribution]]), check if the sub-plan for operator has 
[[Exchange]] and
+ * bucketed table scan. If yes, disable the bucketed table scan in the 
sub-plan.
+ * Only allow certain operators in sub-plan, which guarantees each sub-plan is 
single lineage
+ * (i.e., each operator has only one child). See details in
+ * [[disableBucketWithInterestingPartition]]).
+ *
+ * Examples:
+ * (1).join:
+ *         SortMergeJoin(t1.i = t2.j)
+ *            /            \
+ *        Sort(i)        Sort(j)
+ *          /               \
+ *      Shuffle(i)       Scan(t2: i, j)
+ *        /         (bucketed on column j, enable bucketed scan)
+ *   Scan(t1: i, j)
+ * (bucketed on column j, DISABLE bucketed scan)
+ *
+ * (2).aggregate:
+ *         HashAggregate(i, ..., Final)
+ *                      |
+ *                  Shuffle(i)
+ *                      |
+ *         HashAggregate(i, ..., Partial)
+ *                      |
+ *                    Filter
+ *                      |
+ *                  Scan(t1: i, j)
+ *  (bucketed on column j, DISABLE bucketed scan)
+ *
+ * The idea of [[hasInterestingPartition]] is inspired from "interesting 
order" in
+ * the paper "Access Path Selection in a Relational Database Management System"
+ * (https://dl.acm.org/doi/10.1145/582095.582099).
+ */
+case class DisableUnnecessaryBucketedScan(conf: SQLConf) extends 
Rule[SparkPlan] {
+
+  /**
+   * Disable bucketed table scan with pre-order traversal of plan.
+   *
+   * @param withInterestingPartition The traversed plan has operator with 
interesting partition.
+   * @param withExchange The traversed plan has [[Exchange]] operator.
+   */
+  private def disableBucketWithInterestingPartition(
+      plan: SparkPlan,
+      withInterestingPartition: Boolean,
+      withExchange: Boolean): SparkPlan = {
+    plan match {
+      case p if hasInterestingPartition(p) =>
+        // Operators with interesting partition, propagates 
`withInterestingPartition` as true
+        // to its children.
+        p.mapChildren(disableBucketWithInterestingPartition(_, true, false))
+      case exchange: Exchange if withInterestingPartition =>
+        // Exchange operator propagates `withExchange` as true to its child
+        // if the plan has interesting partition.
+        exchange.mapChildren(disableBucketWithInterestingPartition(
+          _, withInterestingPartition, true))
+      case scan: FileSourceScanExec
+          if withInterestingPartition && withExchange && 
isBucketedScanWithoutFilter(scan) =>
+        // Disable bucketed table scan if the plan has interesting partition,
+        // and [[Exchange]] in the plan.
+        scan.copy(disableBucketedScan = true)
+      case o =>
+        if (isAllowedUnaryExecNode(o)) {

Review comment:
       @cloud-fan - as discussed offline, we still need to traverse sub-plan 
for node with interesting partition, even though this node cannot disable 
bucketed scan (e.g. multiple join cases).
   
   Updated the code to disable bucketed table scan if:
   1. The sub-plan from root to bucketed table scan, only contains node with 
interesting partition, exchange, and allowed whitelisted single-child nodes.
   2. The sub-plan from root to bucketed table scan, does not contain node with 
interesting partition.




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