spark PartitionedAppendOnlyMap 源码
spark PartitionedAppendOnlyMap 代码
文件路径：/core/src/main/scala/org/apache/spark/util/collection/PartitionedAppendOnlyMap.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.util.collection
import java.util.Comparator
import org.apache.spark.util.collection.WritablePartitionedPairCollection._
/**
* Implementation of WritablePartitionedPairCollection that wraps a map in which the keys are tuples
* of (partition ID, K)
*/
private[spark] class PartitionedAppendOnlyMap[K, V]
extends SizeTrackingAppendOnlyMap[(Int, K), V] with WritablePartitionedPairCollection[K, V] {
def partitionedDestructiveSortedIterator(keyComparator: Option[Comparator[K]])
: Iterator[((Int, K), V)] = {
val comparator = keyComparator.map(partitionKeyComparator).getOrElse(partitionComparator)
destructiveSortedIterator(comparator)
}
def insert(partition: Int, key: K, value: V): Unit = {
update((partition, key), value)
}
}
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