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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 spark
import spark.executor.TaskMetrics
import spark.serializer.Serializer
private[spark] abstract class ShuffleFetcher {
/**
* Fetch the shuffle outputs for a given ShuffleDependency.
* @return An iterator over the elements of the fetched shuffle outputs.
*/
def fetch[K, V](shuffleId: Int, reduceId: Int, metrics: TaskMetrics,
serializer: Serializer = SparkEnv.get.serializerManager.default): Iterator[(K,V)]
/** Stop the fetcher */
def stop() {}
}
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