spark Aggregator 源码
spark Aggregator 代码
文件路径：/core/src/main/scala/org/apache/spark/Aggregator.scala
/*
* 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
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.collection.ExternalAppendOnlyMap
/**
* :: DeveloperApi ::
* A set of functions used to aggregate data.
*
* @param createCombiner function to create the initial value of the aggregation.
* @param mergeValue function to merge a new value into the aggregation result.
* @param mergeCombiners function to merge outputs from multiple mergeValue function.
*/
@DeveloperApi
case class Aggregator[K, V, C] (
createCombiner: V => C,
mergeValue: (C, V) => C,
mergeCombiners: (C, C) => C) {
def combineValuesByKey(
iter: Iterator[_ <: Product2[K, V]],
context: TaskContext): Iterator[(K, C)] = {
val combiners = new ExternalAppendOnlyMap[K, V, C](createCombiner, mergeValue, mergeCombiners)
combiners.insertAll(iter)
updateMetrics(context, combiners)
combiners.iterator
}
def combineCombinersByKey(
iter: Iterator[_ <: Product2[K, C]],
context: TaskContext): Iterator[(K, C)] = {
val combiners = new ExternalAppendOnlyMap[K, C, C](identity, mergeCombiners, mergeCombiners)
combiners.insertAll(iter)
updateMetrics(context, combiners)
combiners.iterator
}
/** Update task metrics after populating the external map. */
private def updateMetrics(context: TaskContext, map: ExternalAppendOnlyMap[_, _, _]): Unit = {
Option(context).foreach { c =>
c.taskMetrics().incMemoryBytesSpilled(map.memoryBytesSpilled)
c.taskMetrics().incDiskBytesSpilled(map.diskBytesSpilled)
c.taskMetrics().incPeakExecutionMemory(map.peakMemoryUsedBytes)
}
}
}
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