35 lines
1.3 KiB
Scala
35 lines
1.3 KiB
Scala
/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package spark
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import spark.executor.TaskMetrics
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import spark.serializer.Serializer
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private[spark] abstract class ShuffleFetcher {
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/**
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* Fetch the shuffle outputs for a given ShuffleDependency.
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* @return An iterator over the elements of the fetched shuffle outputs.
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*/
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def fetch[K, V](shuffleId: Int, reduceId: Int, metrics: TaskMetrics,
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serializer: Serializer = SparkEnv.get.serializerManager.default): Iterator[(K,V)]
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/** Stop the fetcher */
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def stop() {}
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}
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