You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by "peter-toth (via GitHub)" <gi...@apache.org> on 2023/07/31 09:32:57 UTC

[GitHub] [spark] peter-toth commented on a diff in pull request #42223: [SPARK-44571][SQL] Eliminate the Join by combine multiple Aggregates

peter-toth commented on code in PR #42223:
URL: https://github.com/apache/spark/pull/42223#discussion_r1279041973


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/EliminateJoinByCombineAggregate.scala:
##########
@@ -0,0 +1,196 @@
+/*
+ * 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.ArrayBuffer
+
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, Expression, NamedExpression, Or}
+import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
+import org.apache.spark.sql.catalyst.plans.{Cross, FullOuter, Inner, JoinType, LeftOuter, RightOuter}
+import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Filter, Join, LeafNode, LogicalPlan, Project, SerializeFromObject}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.catalyst.trees.TreePattern.{AGGREGATE, JOIN}
+
+/**
+ * This rule eliminates the [[Join]] if all the join side are [[Aggregate]]s by combine these
+ * [[Aggregate]]s. This rule also support the nested [[Join]], as long as all the join sides for
+ * every [[Join]] are [[Aggregate]]s.
+ *
+ * Note: The [[Aggregate]]s to be merged must not exists filter.
+ */
+object EliminateJoinByCombineAggregate extends Rule[LogicalPlan] {
+
+  private def isSupportedJoinType(joinType: JoinType): Boolean =
+    Seq(Inner, Cross, LeftOuter, RightOuter, FullOuter).contains(joinType)
+
+  // Collect all the Aggregates from both side of single or nested Join.
+  private def collectAggregate(plan: LogicalPlan, aggregates: ArrayBuffer[Aggregate]): Boolean = {
+    var flag = true
+    if (plan.containsAnyPattern(JOIN, AGGREGATE)) {
+      plan match {
+        case Join(left: Aggregate, right: Aggregate, _, None, _)
+          if left.groupingExpressions.isEmpty && right.groupingExpressions.isEmpty &&
+            left.aggregateExpressions.forall(filterNotDefined) &&
+            right.aggregateExpressions.forall(filterNotDefined) =>
+          aggregates += left
+          aggregates += right
+        case Join(left @ Join(_, _, joinType, None, _), right: Aggregate, _, None, _)
+          if isSupportedJoinType(joinType) && right.groupingExpressions.isEmpty &&
+            right.aggregateExpressions.forall(filterNotDefined) =>
+          flag = collectAggregate(left, aggregates)
+          aggregates += right
+        case Join(left: Aggregate, right @ Join(_, _, joinType, None, _), _, None, _)
+          if isSupportedJoinType(joinType) && left.groupingExpressions.isEmpty &&
+            left.aggregateExpressions.forall(filterNotDefined) =>
+          aggregates += left
+          flag = collectAggregate(right, aggregates)
+        // The side of Join is neither Aggregate nor Join.
+        case _ => flag = false
+      }
+    }
+
+    flag
+  }
+
+  // TODO Support aggregate expression with filter clause.
+  private def filterNotDefined(ne: NamedExpression): Boolean = {
+    ne match {
+      case Alias(ae: AggregateExpression, _) => ae.filter.isEmpty
+      case ae: AggregateExpression => ae.filter.isEmpty
+    }
+  }
+
+  // Merge the multiple Aggregates.
+  private def mergePlan(
+      left: LogicalPlan,
+      right: LogicalPlan): Option[(LogicalPlan, Map[Expression, Attribute], Seq[Expression])] = {
+    (left, right) match {
+      case (la: Aggregate, ra: Aggregate) =>
+        val mergedChildPlan = mergePlan(la.child, ra.child)
+        mergedChildPlan.map { case (newChild, outputMap, filters) =>
+          val rightAggregateExprs = ra.aggregateExpressions.map { ne =>
+            ne.transform {
+              case attr: Attribute =>
+                outputMap.getOrElse(attr.canonicalized, attr)
+            }.asInstanceOf[NamedExpression]
+          }
+
+          val mergedAggregateExprs = if (filters.length == 2) {
+            la.aggregateExpressions.map { ne =>
+              ne.transform {
+                case ae @ AggregateExpression(_, _, _, None, _) =>
+                  ae.copy(filter = Some(filters.head))
+              }.asInstanceOf[NamedExpression]
+            } ++ rightAggregateExprs.map { ne =>
+              ne.transform {
+                case ae @ AggregateExpression(_, _, _, None, _) =>
+                  ae.copy(filter = Some(filters.last))
+              }.asInstanceOf[NamedExpression]
+            }
+          } else {
+            la.aggregateExpressions ++ rightAggregateExprs
+          }
+
+          (Aggregate(Seq.empty, mergedAggregateExprs, newChild), Map.empty, Seq.empty)
+        }
+      case (lp: Project, rp: Project) =>
+        val mergedInfo = mergePlan(lp.child, rp.child)
+        val mergedProjectList = ArrayBuffer[NamedExpression](lp.projectList: _*)
+
+        mergedInfo.map { case (newChild, outputMap, filters) =>
+          val allFilterReferences = filters.flatMap(_.references)
+          val newOutputMap = (rp.projectList ++ allFilterReferences).map { ne =>
+            val mapped = ne.transform {
+              case attr: Attribute =>
+                outputMap.getOrElse(attr.canonicalized, attr)
+            }.asInstanceOf[NamedExpression]
+
+            val withoutAlias = mapped match {
+              case Alias(child, _) => child
+              case e => e
+            }
+
+            val outputAttr = mergedProjectList.find {
+              case Alias(child, _) => child semanticEquals withoutAlias
+              case e => e semanticEquals withoutAlias
+            }.getOrElse {
+              mergedProjectList += mapped
+              mapped
+            }.toAttribute
+            ne.toAttribute.canonicalized -> outputAttr
+          }.toMap
+
+          (Project(mergedProjectList.toSeq, newChild), newOutputMap, filters)
+        }
+      // TODO support only one side contains Filter
+      case (lf: Filter, rf: Filter) =>
+        val mergedInfo = mergePlan(lf.child, rf.child)
+        mergedInfo.map { case (newChild, outputMap, _) =>
+          val rightCondition = rf.condition transform {
+            case attr: Attribute =>
+              outputMap.getOrElse(attr.canonicalized, attr)
+          }
+          val newCondition = Or(lf.condition, rightCondition)
+
+          (Filter(newCondition, newChild), outputMap, Seq(lf.condition, rightCondition))
+        }
+      case (ll: LeafNode, rl: LeafNode) =>
+        if (ll.canonicalized == rl.canonicalized) {
+          val outputMap = rl.output.zip(ll.output).map { case (ra, la) =>
+            ra.canonicalized -> la
+          }.toMap
+
+          Some((ll, outputMap, Seq.empty))
+        } else {
+          None
+        }
+      case (ls: SerializeFromObject, rs: SerializeFromObject) =>
+        if (ls.canonicalized == rs.canonicalized) {
+          val outputMap = rs.output.zip(ls.output).map { case (ra, la) =>
+            ra.canonicalized -> la
+          }.toMap
+
+          Some((ls, outputMap, Seq.empty))
+        } else {
+          None
+        }
+      case _ => None
+    }
+  }
+
+  def apply(plan: LogicalPlan): LogicalPlan = {
+    if (!conf.eliminateJoinByCombineAggregateEnabled) return plan
+
+    plan.transformDownWithPruning(_.containsAnyPattern(JOIN, AGGREGATE), ruleId) {
+      case j @ Join(_, _, joinType, None, _) if isSupportedJoinType(joinType) =>
+        val aggregates = ArrayBuffer.empty[Aggregate]
+        if (collectAggregate(j, aggregates)) {
+          var finalAggregate: Option[LogicalPlan] = None
+          for ((aggregate, i) <- aggregates.tail.zipWithIndex

Review Comment:
   Seems like you are trying to merge aggregates in sequential order only. What if the first can't be merged with the rest, but the rest can be merged together?



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org