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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.local
import java.nio.ByteBuffer
import scala.collection.mutable.ArrayBuffer
import scala.collection.mutable.HashMap
import org.apache.spark.{ExceptionFailure, Logging, SparkEnv, Success, TaskState}
import org.apache.spark.TaskState.TaskState
import org.apache.spark.scheduler.{Task, TaskResult, TaskSet}
import org.apache.spark.scheduler.cluster.{Schedulable, TaskDescription, TaskInfo, TaskLocality, TaskSetManager}
private[spark] class LocalTaskSetManager(sched: LocalScheduler, val taskSet: TaskSet)
extends TaskSetManager with Logging {
var parent: Schedulable = null
var weight: Int = 1
var minShare: Int = 0
var runningTasks: Int = 0
var priority: Int = taskSet.priority
var stageId: Int = taskSet.stageId
var name: String = "TaskSet_" + taskSet.stageId.toString
var failCount = new Array[Int](taskSet.tasks.size)
val taskInfos = new HashMap[Long, TaskInfo]
val numTasks = taskSet.tasks.size
var numFinished = 0
val env = SparkEnv.get
val ser = env.closureSerializer.newInstance()
val copiesRunning = new Array[Int](numTasks)
val finished = new Array[Boolean](numTasks)
val numFailures = new Array[Int](numTasks)
val MAX_TASK_FAILURES = sched.maxFailures
override def increaseRunningTasks(taskNum: Int): Unit = {
runningTasks += taskNum
if (parent != null) {
parent.increaseRunningTasks(taskNum)
}
}
override def decreaseRunningTasks(taskNum: Int): Unit = {
runningTasks -= taskNum
if (parent != null) {
parent.decreaseRunningTasks(taskNum)
}
}
override def addSchedulable(schedulable: Schedulable): Unit = {
// nothing
}
override def removeSchedulable(schedulable: Schedulable): Unit = {
// nothing
}
override def getSchedulableByName(name: String): Schedulable = {
return null
}
override def executorLost(executorId: String, host: String): Unit = {
// nothing
}
override def checkSpeculatableTasks() = true
override def getSortedTaskSetQueue(): ArrayBuffer[TaskSetManager] = {
var sortedTaskSetQueue = new ArrayBuffer[TaskSetManager]
sortedTaskSetQueue += this
return sortedTaskSetQueue
}
override def hasPendingTasks() = true
def findTask(): Option[Int] = {
for (i <- 0 to numTasks-1) {
if (copiesRunning(i) == 0 && !finished(i)) {
return Some(i)
}
}
return None
}
override def resourceOffer(
execId: String,
host: String,
availableCpus: Int,
maxLocality: TaskLocality.TaskLocality)
: Option[TaskDescription] =
{
SparkEnv.set(sched.env)
logDebug("availableCpus:%d, numFinished:%d, numTasks:%d".format(
availableCpus.toInt, numFinished, numTasks))
if (availableCpus > 0 && numFinished < numTasks) {
findTask() match {
case Some(index) =>
val taskId = sched.attemptId.getAndIncrement()
val task = taskSet.tasks(index)
val info = new TaskInfo(taskId, index, System.currentTimeMillis(), "local", "local:1",
TaskLocality.NODE_LOCAL)
taskInfos(taskId) = info
// We rely on the DAGScheduler to catch non-serializable closures and RDDs, so in here
// we assume the task can be serialized without exceptions.
val bytes = Task.serializeWithDependencies(
task, sched.sc.addedFiles, sched.sc.addedJars, ser)
logInfo("Size of task " + taskId + " is " + bytes.limit + " bytes")
val taskName = "task %s:%d".format(taskSet.id, index)
copiesRunning(index) += 1
increaseRunningTasks(1)
taskStarted(task, info)
return Some(new TaskDescription(taskId, null, taskName, index, bytes))
case None => {}
}
}
return None
}
override def statusUpdate(tid: Long, state: TaskState, serializedData: ByteBuffer) {
SparkEnv.set(env)
state match {
case TaskState.FINISHED =>
taskEnded(tid, state, serializedData)
case TaskState.FAILED =>
taskFailed(tid, state, serializedData)
case _ => {}
}
}
def taskStarted(task: Task[_], info: TaskInfo) {
sched.listener.taskStarted(task, info)
}
def taskEnded(tid: Long, state: TaskState, serializedData: ByteBuffer) {
val info = taskInfos(tid)
val index = info.index
val task = taskSet.tasks(index)
info.markSuccessful()
val result = ser.deserialize[TaskResult[_]](serializedData, getClass.getClassLoader)
result.metrics.resultSize = serializedData.limit()
sched.listener.taskEnded(task, Success, result.value, result.accumUpdates, info, result.metrics)
numFinished += 1
decreaseRunningTasks(1)
finished(index) = true
if (numFinished == numTasks) {
sched.taskSetFinished(this)
}
}
def taskFailed(tid: Long, state: TaskState, serializedData: ByteBuffer) {
val info = taskInfos(tid)
val index = info.index
val task = taskSet.tasks(index)
info.markFailed()
decreaseRunningTasks(1)
val reason: ExceptionFailure = ser.deserialize[ExceptionFailure](
serializedData, getClass.getClassLoader)
sched.listener.taskEnded(task, reason, null, null, info, reason.metrics.getOrElse(null))
if (!finished(index)) {
copiesRunning(index) -= 1
numFailures(index) += 1
val locs = reason.stackTrace.map(loc => "\tat %s".format(loc.toString))
logInfo("Loss was due to %s\n%s\n%s".format(
reason.className, reason.description, locs.mkString("\n")))
if (numFailures(index) > MAX_TASK_FAILURES) {
val errorMessage = "Task %s:%d failed more than %d times; aborting job %s".format(
taskSet.id, index, 4, reason.description)
decreaseRunningTasks(runningTasks)
sched.listener.taskSetFailed(taskSet, errorMessage)
// need to delete failed Taskset from schedule queue
sched.taskSetFinished(this)
}
}
}
override def error(message: String) {
}
}
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