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feat: Add support of TakeOrderedAndProjectExec in Comet
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spark/src/main/scala/org/apache/spark/sql/comet/CometTakeOrderedAndProjectExec.scala
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql.comet | ||
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| import scala.collection.JavaConverters.asJavaIterableConverter | ||
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| import org.apache.spark.rdd.{ParallelCollectionRDD, RDD} | ||
| import org.apache.spark.serializer.Serializer | ||
| import org.apache.spark.sql.catalyst.expressions.{Attribute, NamedExpression, SortOrder} | ||
| import org.apache.spark.sql.catalyst.util.truncatedString | ||
| import org.apache.spark.sql.comet.execution.shuffle.{CometShuffledBatchRDD, CometShuffleExchangeExec} | ||
| import org.apache.spark.sql.execution.{SparkPlan, UnaryExecNode, UnsafeRowSerializer} | ||
| import org.apache.spark.sql.execution.metric.{SQLMetrics, SQLShuffleReadMetricsReporter, SQLShuffleWriteMetricsReporter} | ||
| import org.apache.spark.sql.execution.metric.SQLMetric | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch | ||
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| import org.apache.comet.serde.OperatorOuterClass | ||
| import org.apache.comet.serde.OperatorOuterClass.Operator | ||
| import org.apache.comet.serde.QueryPlanSerde.{exprToProto, serializeDataType} | ||
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| /** | ||
| * Comet physical plan node for Spark `TakeOrderedAndProjectExec`. | ||
| * | ||
| * It is used to execute a `TakeOrderedAndProjectExec` physical operator by using Comet native | ||
| * engine. It is not like other physical plan nodes which are wrapped by `CometExec`, because it | ||
| * contains two native executions separated by a Comet shuffle exchange. | ||
| */ | ||
| case class CometTakeOrderedAndProjectExec( | ||
| override val originalPlan: SparkPlan, | ||
| limit: Int, | ||
| sortOrder: Seq[SortOrder], | ||
| projectList: Seq[NamedExpression], | ||
| child: SparkPlan) | ||
| extends CometExec | ||
| with UnaryExecNode { | ||
| override def output: Seq[Attribute] = projectList.map(_.toAttribute) | ||
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| private lazy val writeMetrics = | ||
| SQLShuffleWriteMetricsReporter.createShuffleWriteMetrics(sparkContext) | ||
| private lazy val readMetrics = | ||
| SQLShuffleReadMetricsReporter.createShuffleReadMetrics(sparkContext) | ||
| override lazy val metrics: Map[String, SQLMetric] = Map( | ||
| "dataSize" -> SQLMetrics.createSizeMetric(sparkContext, "data size"), | ||
| "shuffleReadElapsedCompute" -> | ||
| SQLMetrics.createNanoTimingMetric(sparkContext, "shuffle read elapsed compute at native"), | ||
| "numPartitions" -> SQLMetrics.createMetric( | ||
| sparkContext, | ||
| "number of partitions")) ++ readMetrics ++ writeMetrics | ||
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| private lazy val serializer: Serializer = | ||
| new UnsafeRowSerializer(child.output.size, longMetric("dataSize")) | ||
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| // Exposed for testing. | ||
| lazy val orderingSatisfies: Boolean = | ||
| SortOrder.orderingSatisfies(child.outputOrdering, sortOrder) | ||
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| protected override def doExecuteColumnar(): RDD[ColumnarBatch] = { | ||
| val childRDD = child.executeColumnar() | ||
| if (childRDD.getNumPartitions == 0) { | ||
| new ParallelCollectionRDD(sparkContext, Seq.empty[ColumnarBatch], 1, Map.empty) | ||
| } else { | ||
| val singlePartitionRDD = if (childRDD.getNumPartitions == 1) { | ||
| childRDD | ||
| } else { | ||
| val localTopK = if (orderingSatisfies) { | ||
| childRDD.mapPartitionsInternal { iter => | ||
| val limitOp = | ||
| CometTakeOrderedAndProjectExec.getLimitNativePlan(output, limit).get | ||
| CometExec.getCometIterator(Seq(iter), limitOp) | ||
| } | ||
| } else { | ||
| childRDD.mapPartitionsInternal { iter => | ||
| val topK = | ||
| CometTakeOrderedAndProjectExec | ||
| .getTopKNativePlan(output, sortOrder, child, limit) | ||
| .get | ||
| CometExec.getCometIterator(Seq(iter), topK) | ||
| } | ||
| } | ||
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| // Shuffle to Single Partition using Comet native shuffle | ||
| val dep = CometShuffleExchangeExec.prepareShuffleDependency( | ||
| localTopK, | ||
| child.output, | ||
| outputPartitioning, | ||
| serializer, | ||
| metrics) | ||
| metrics("numPartitions").set(dep.partitioner.numPartitions) | ||
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| new CometShuffledBatchRDD(dep, readMetrics) | ||
| } | ||
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| singlePartitionRDD.mapPartitionsInternal { iter => | ||
| val topKAndProjection = CometTakeOrderedAndProjectExec | ||
| .getProjectionNativePlan(projectList, output, sortOrder, child, limit) | ||
| .get | ||
| CometExec.getCometIterator(Seq(iter), topKAndProjection) | ||
| } | ||
| } | ||
| } | ||
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| override def simpleString(maxFields: Int): String = { | ||
| val orderByString = truncatedString(sortOrder, "[", ",", "]", maxFields) | ||
| val outputString = truncatedString(output, "[", ",", "]", maxFields) | ||
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| s"CometTakeOrderedAndProjectExec(limit=$limit, orderBy=$orderByString, output=$outputString)" | ||
| } | ||
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| override protected def withNewChildInternal(newChild: SparkPlan): SparkPlan = | ||
| this.copy(child = newChild) | ||
| } | ||
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| object CometTakeOrderedAndProjectExec { | ||
| def isSupported( | ||
| projectList: Seq[NamedExpression], | ||
| sortOrder: Seq[SortOrder], | ||
| child: SparkPlan): Boolean = { | ||
| val exprs = projectList.map(exprToProto(_, child.output)) | ||
| val sortOrders = sortOrder.map(exprToProto(_, child.output)) | ||
| exprs.forall(_.isDefined) && sortOrders.forall(_.isDefined) | ||
| } | ||
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| /** | ||
| * Prepare Projection + TopK native plan for CometTakeOrderedAndProjectExec. | ||
| */ | ||
| def getProjectionNativePlan( | ||
| projectList: Seq[NamedExpression], | ||
| outputAttributes: Seq[Attribute], | ||
| sortOrder: Seq[SortOrder], | ||
| child: SparkPlan, | ||
| limit: Int): Option[Operator] = { | ||
| getTopKNativePlan(outputAttributes, sortOrder, child, limit).flatMap { topK => | ||
| val exprs = projectList.map(exprToProto(_, child.output)) | ||
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| if (exprs.forall(_.isDefined)) { | ||
| val projectBuilder = OperatorOuterClass.Projection.newBuilder() | ||
| projectBuilder.addAllProjectList(exprs.map(_.get).asJava) | ||
| val opBuilder = OperatorOuterClass.Operator | ||
| .newBuilder() | ||
| .addChildren(topK) | ||
| Some(opBuilder.setProjection(projectBuilder).build()) | ||
| } else { | ||
| None | ||
| } | ||
| } | ||
| } | ||
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| def getLimitNativePlan(outputAttributes: Seq[Attribute], limit: Int): Option[Operator] = { | ||
| val scanBuilder = OperatorOuterClass.Scan.newBuilder() | ||
| val scanOpBuilder = OperatorOuterClass.Operator.newBuilder() | ||
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| val scanTypes = outputAttributes.flatten { attr => | ||
| serializeDataType(attr.dataType) | ||
| } | ||
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| if (scanTypes.length == outputAttributes.length) { | ||
| scanBuilder.addAllFields(scanTypes.asJava) | ||
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| val limitBuilder = OperatorOuterClass.Limit.newBuilder() | ||
| limitBuilder.setLimit(limit) | ||
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| val limitOpBuilder = OperatorOuterClass.Operator | ||
| .newBuilder() | ||
| .addChildren(scanOpBuilder.setScan(scanBuilder)) | ||
| Some(limitOpBuilder.setLimit(limitBuilder).build()) | ||
| } else { | ||
| None | ||
| } | ||
| } | ||
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| /** | ||
| * Prepare TopK native plan for CometTakeOrderedAndProjectExec. | ||
| */ | ||
| def getTopKNativePlan( | ||
| outputAttributes: Seq[Attribute], | ||
| sortOrder: Seq[SortOrder], | ||
| child: SparkPlan, | ||
| limit: Int): Option[Operator] = { | ||
| val scanBuilder = OperatorOuterClass.Scan.newBuilder() | ||
| val scanOpBuilder = OperatorOuterClass.Operator.newBuilder() | ||
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| val scanTypes = outputAttributes.flatten { attr => | ||
| serializeDataType(attr.dataType) | ||
| } | ||
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| if (scanTypes.length == outputAttributes.length) { | ||
| scanBuilder.addAllFields(scanTypes.asJava) | ||
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| val sortOrders = sortOrder.map(exprToProto(_, child.output)) | ||
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| if (sortOrders.forall(_.isDefined)) { | ||
| val sortBuilder = OperatorOuterClass.Sort.newBuilder() | ||
| sortBuilder.addAllSortOrders(sortOrders.map(_.get).asJava) | ||
| sortBuilder.setFetch(limit) | ||
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| val sortOpBuilder = OperatorOuterClass.Operator | ||
| .newBuilder() | ||
| .addChildren(scanOpBuilder.setScan(scanBuilder)) | ||
| Some(sortOpBuilder.setSort(sortBuilder).build()) | ||
| } else { | ||
| None | ||
| } | ||
| } else { | ||
| None | ||
| } | ||
| } | ||
| } |
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