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package spark
import spark.storage.BlockManagerId
/**
* Various possible reasons why a task ended. The low-level TaskScheduler is supposed to retry
* tasks several times for "ephemeral" failures, and only report back failures that require some
* old stages to be resubmitted, such as shuffle map fetch failures.
*/
private[spark] sealed trait TaskEndReason
private[spark] case object Success extends TaskEndReason
private[spark]
case object Resubmitted extends TaskEndReason // Task was finished earlier but we've now lost it
private[spark] case class FetchFailed(
bmAddress: BlockManagerId,
shuffleId: Int,
mapId: Int,
reduceId: Int)
extends TaskEndReason
private[spark] case class ExceptionFailure(
className: String,
description: String,
stackTrace: Array[StackTraceElement])
extends TaskEndReason
private[spark] case class OtherFailure(message: String) extends TaskEndReason
private[spark] case class TaskResultTooBigFailure() extends TaskEndReason
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