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113
spark/src/main/scala/org/apache/spark/sql/comet/CometCollectLimitExec.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. | ||
*/ | ||
package org.apache.spark.sql.comet | ||
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import java.util.Objects | ||
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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 | ||
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/** | ||
* 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 { | ||
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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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override def executeCollect(): Array[InternalRow] = { | ||
ColumnarToRowExec(child).executeTake(limit) | ||
} | ||
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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) | ||
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new CometShuffledBatchRDD(dep, readMetrics) | ||
} | ||
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// todo: supports offset later | ||
singlePartitionRDD.mapPartitionsInternal { iter => | ||
val limitOp = CometExecUtils.getLimitNativePlan(output, limit).get | ||
CometExec.getCometIterator(Seq(iter), limitOp) | ||
} | ||
} | ||
} | ||
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override protected def withNewChildInternal(newChild: SparkPlan): SparkPlan = | ||
this.copy(child = newChild) | ||
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override def stringArgs: Iterator[Any] = Iterator(limit, offset, child) | ||
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override def equals(obj: Any): Boolean = { | ||
obj match { | ||
case other: CometCollectLimitExec => | ||
this.limit == other.limit && this.offset == other.offset && | ||
this.child == other.child | ||
case _ => | ||
false | ||
} | ||
} | ||
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override def hashCode(): Int = | ||
Objects.hashCode(limit: java.lang.Integer, offset: java.lang.Integer, child) | ||
} |
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