aboutsummaryrefslogtreecommitdiff
path: root/core/src/main/scala/org/apache/spark/scheduler/TaskScheduler.scala
blob: 10e047810827c974e7e9230bca60693c1e67cf40 (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
/*
 * 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 org.apache.spark.scheduler.SchedulingMode.SchedulingMode

/**
 * Low-level task scheduler interface, implemented by both ClusterScheduler and LocalScheduler.
 * Each TaskScheduler schedulers task for a single SparkContext.
 * These schedulers get sets of tasks submitted to them from the DAGScheduler for each stage,
 * and are responsible for sending the tasks to the cluster, running them, retrying if there
 * are failures, and mitigating stragglers. They return events to the DAGScheduler.
 */
private[spark] trait TaskScheduler {

  def rootPool: Pool

  def schedulingMode: SchedulingMode

  def start(): Unit

  // Invoked after system has successfully initialized (typically in spark context).
  // Yarn uses this to bootstrap allocation of resources based on preferred locations, wait for slave registerations, etc.
  def postStartHook() { }

  // Disconnect from the cluster.
  def stop(): Unit

  // Submit a sequence of tasks to run.
  def submitTasks(taskSet: TaskSet): Unit

  // Cancel a stage.
  def cancelTasks(stageId: Int)

  // Set the DAG scheduler for upcalls. This is guaranteed to be set before submitTasks is called.
  def setDAGScheduler(dagScheduler: DAGScheduler): Unit

  // Get the default level of parallelism to use in the cluster, as a hint for sizing jobs.
  def defaultParallelism(): Int
}