advancedxy commented on code in PR #100: URL: https://github.com/apache/arrow-datafusion-comet/pull/100#discussion_r1503800896
########## spark/src/main/scala/org/apache/spark/sql/comet/CometCollectLimitExec.scala: ########## @@ -0,0 +1,113 @@ +/** + * 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.comet + +import java.util.Objects + +import org.apache.spark.rdd.RDD +import org.apache.spark.serializer.Serializer +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.comet.execution.shuffle.{CometShuffledBatchRDD, CometShuffleExchangeExec} +import org.apache.spark.sql.execution.{ColumnarToRowExec, SparkPlan, UnaryExecNode, UnsafeRowSerializer} +import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics, SQLShuffleReadMetricsReporter, SQLShuffleWriteMetricsReporter} +import org.apache.spark.sql.vectorized.ColumnarBatch + +/** + * Comet physical plan node for Spark `CollectExecNode`. + * + * Similar to `CometTakeOrderedAndProjectExec`, it contains two native executions seperated by a + * comet shuffle. + */ +case class CometCollectLimitExec( + override val originalPlan: SparkPlan, + limit: Int, + offset: Int, + child: SparkPlan) + extends CometExec + with UnaryExecNode { + + 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 + + private lazy val serializer: Serializer = + new UnsafeRowSerializer(child.output.size, longMetric("dataSize")) + + override def executeCollect(): Array[InternalRow] = { + ColumnarToRowExec(child).executeTake(limit) + } + + protected override def doExecuteColumnar(): RDD[ColumnarBatch] = { + val childRDD = child.executeColumnar() + if (childRDD.getNumPartitions == 0) { + CometExecUtils.createEmptyColumnarRDDWithSinglePartition(sparkContext) + } else { + val singlePartitionRDD = if (childRDD.getNumPartitions == 1) { + childRDD + } else { + val localLimitedRDD = if (limit >= 0) { + childRDD.mapPartitionsInternal { iter => + val limitOp = CometExecUtils.getLimitNativePlan(output, limit).get + CometExec.getCometIterator(Seq(iter), limitOp) + } + } else { + childRDD + } + // Shuffle to Single Partition using Comet native shuffle + val dep = CometShuffleExchangeExec.prepareShuffleDependency( + localLimitedRDD, + child.output, + outputPartitioning, + serializer, + metrics) + metrics("numPartitions").set(dep.partitioner.numPartitions) + + new CometShuffledBatchRDD(dep, readMetrics) + } + + // todo: supports offset later Review Comment: OK -- 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: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
