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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.scheduler
import java.nio.ByteBuffer
import org.apache.spark.TaskState.TaskState
/**
* Tracks and schedules the tasks within a single TaskSet. This class keeps track of the status of
* each task and is responsible for retries on failure and locality. The main interfaces to it
* are resourceOffer, which asks the TaskSet whether it wants to run a task on one node, and
* statusUpdate, which tells it that one of its tasks changed state (e.g. finished).
*
* THREADING: This class is designed to only be called from code with a lock on the TaskScheduler
* (e.g. its event handlers). It should not be called from other threads.
*/
private[spark] trait TaskSetManager extends Schedulable {
def schedulableQueue = null
def schedulingMode = SchedulingMode.NONE
def taskSet: TaskSet
def resourceOffer(
execId: String,
host: String,
availableCpus: Int,
maxLocality: TaskLocality.TaskLocality)
: Option[TaskDescription]
def statusUpdate(tid: Long, state: TaskState, serializedData: ByteBuffer)
def error(message: String)
}
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