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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
import scala.collection.mutable.{ArrayBuffer, HashMap}
import org.apache.spark.executor.TaskMetrics
import org.apache.spark.memory.TaskMemoryManager
import org.apache.spark.metrics.MetricsSystem
import org.apache.spark.metrics.source.Source
import org.apache.spark.util.{TaskCompletionListener, TaskCompletionListenerException}
private[spark] class TaskContextImpl(
val stageId: Int,
val partitionId: Int,
override val taskAttemptId: Long,
override val attemptNumber: Int,
override val taskMemoryManager: TaskMemoryManager,
@transient private val metricsSystem: MetricsSystem,
internalAccumulators: Seq[Accumulator[Long]],
val taskMetrics: TaskMetrics = TaskMetrics.empty)
extends TaskContext
with Logging {
// List of callback functions to execute when the task completes.
@transient private val onCompleteCallbacks = new ArrayBuffer[TaskCompletionListener]
// Whether the corresponding task has been killed.
@volatile private var interrupted: Boolean = false
// Whether the task has completed.
@volatile private var completed: Boolean = false
override def addTaskCompletionListener(listener: TaskCompletionListener): this.type = {
onCompleteCallbacks += listener
this
}
override def addTaskCompletionListener(f: TaskContext => Unit): this.type = {
onCompleteCallbacks += new TaskCompletionListener {
override def onTaskCompletion(context: TaskContext): Unit = f(context)
}
this
}
/** Marks the task as completed and triggers the listeners. */
private[spark] def markTaskCompleted(): Unit = {
completed = true
val errorMsgs = new ArrayBuffer[String](2)
// Process complete callbacks in the reverse order of registration
onCompleteCallbacks.reverse.foreach { listener =>
try {
listener.onTaskCompletion(this)
} catch {
case e: Throwable =>
errorMsgs += e.getMessage
logError("Error in TaskCompletionListener", e)
}
}
if (errorMsgs.nonEmpty) {
throw new TaskCompletionListenerException(errorMsgs)
}
}
/** Marks the task for interruption, i.e. cancellation. */
private[spark] def markInterrupted(): Unit = {
interrupted = true
}
override def isCompleted(): Boolean = completed
override def isRunningLocally(): Boolean = false
override def isInterrupted(): Boolean = interrupted
override def getMetricsSources(sourceName: String): Seq[Source] =
metricsSystem.getSourcesByName(sourceName)
@transient private val accumulators = new HashMap[Long, Accumulable[_, _]]
private[spark] override def registerAccumulator(a: Accumulable[_, _]): Unit = synchronized {
accumulators(a.id) = a
}
private[spark] override def collectInternalAccumulators(): Map[Long, Any] = synchronized {
accumulators.filter(_._2.isInternal).mapValues(_.localValue).toMap
}
private[spark] override def collectAccumulators(): Map[Long, Any] = synchronized {
accumulators.mapValues(_.localValue).toMap
}
private[spark] override val internalMetricsToAccumulators: Map[String, Accumulator[Long]] = {
// Explicitly register internal accumulators here because these are
// not captured in the task closure and are already deserialized
internalAccumulators.foreach(registerAccumulator)
internalAccumulators.map { a => (a.name.get, a) }.toMap
}
}
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