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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 java.util.concurrent.{LinkedBlockingDeque, ThreadFactory, ThreadPoolExecutor, TimeUnit}
import org.apache.spark._
import org.apache.spark.TaskState.TaskState
import org.apache.spark.serializer.SerializerInstance
import org.apache.spark.util.Utils
/**
* Runs a thread pool that deserializes and remotely fetches (if necessary) task results.
*/
private[spark] class TaskResultGetter(sparkEnv: SparkEnv, scheduler: TaskSchedulerImpl)
extends Logging {
private val THREADS = sparkEnv.conf.get("spark.resultGetter.threads", "4").toInt
private val getTaskResultExecutor = Utils.newDaemonFixedThreadPool(
THREADS, "Result resolver thread")
protected val serializer = new ThreadLocal[SerializerInstance] {
override def initialValue(): SerializerInstance = {
return sparkEnv.closureSerializer.newInstance()
}
}
def enqueueSuccessfulTask(
taskSetManager: TaskSetManager, tid: Long, serializedData: ByteBuffer) {
getTaskResultExecutor.execute(new Runnable {
override def run() {
try {
val result = serializer.get().deserialize[TaskResult[_]](serializedData) match {
case directResult: DirectTaskResult[_] => directResult
case IndirectTaskResult(blockId) =>
logDebug("Fetching indirect task result for TID %s".format(tid))
scheduler.handleTaskGettingResult(taskSetManager, tid)
val serializedTaskResult = sparkEnv.blockManager.getRemoteBytes(blockId)
if (!serializedTaskResult.isDefined) {
/* We won't be able to get the task result if the machine that ran the task failed
* between when the task ended and when we tried to fetch the result, or if the
* block manager had to flush the result. */
scheduler.handleFailedTask(
taskSetManager, tid, TaskState.FINISHED, Some(TaskResultLost))
return
}
val deserializedResult = serializer.get().deserialize[DirectTaskResult[_]](
serializedTaskResult.get)
sparkEnv.blockManager.master.removeBlock(blockId)
deserializedResult
}
result.metrics.resultSize = serializedData.limit()
scheduler.handleSuccessfulTask(taskSetManager, tid, result)
} catch {
case cnf: ClassNotFoundException =>
val loader = Thread.currentThread.getContextClassLoader
taskSetManager.abort("ClassNotFound with classloader: " + loader)
case ex: Throwable =>
taskSetManager.abort("Exception while deserializing and fetching task: %s".format(ex))
}
}
})
}
def enqueueFailedTask(taskSetManager: TaskSetManager, tid: Long, taskState: TaskState,
serializedData: ByteBuffer) {
var reason: Option[TaskEndReason] = None
getTaskResultExecutor.execute(new Runnable {
override def run() {
try {
if (serializedData != null && serializedData.limit() > 0) {
reason = Some(serializer.get().deserialize[TaskEndReason](
serializedData, getClass.getClassLoader))
}
} catch {
case cnd: ClassNotFoundException =>
// Log an error but keep going here -- the task failed, so not catastropic if we can't
// deserialize the reason.
val loader = Thread.currentThread.getContextClassLoader
logError(
"Could not deserialize TaskEndReason: ClassNotFound with classloader " + loader)
case ex: Throwable => {}
}
scheduler.handleFailedTask(taskSetManager, tid, taskState, reason)
}
})
}
def stop() {
getTaskResultExecutor.shutdownNow()
}
}
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