Packages

c

org.apache.spark

FetchFailed

case class FetchFailed(bmAddress: BlockManagerId, shuffleId: Int, mapId: Long, mapIndex: Int, reduceId: Int, message: String) extends TaskFailedReason with Product with Serializable

:: DeveloperApi :: Task failed to fetch shuffle data from a remote node. Probably means we have lost the remote executors the task is trying to fetch from, and thus need to rerun the previous stage.

Annotations
@DeveloperApi()
Source
TaskEndReason.scala
Linear Supertypes
Serializable, Serializable, Product, Equals, TaskFailedReason, TaskEndReason, AnyRef, Any
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Inherited
  1. FetchFailed
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. TaskFailedReason
  7. TaskEndReason
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new FetchFailed(bmAddress: BlockManagerId, shuffleId: Int, mapId: Long, mapIndex: Int, reduceId: Int, message: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val bmAddress: BlockManagerId
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @IntrinsicCandidate()
  7. def countTowardsTaskFailures: Boolean

    Fetch failures lead to a different failure handling path: (1) we don't abort the stage after 4 task failures, instead we immediately go back to the stage which generated the map output, and regenerate the missing data.

    Fetch failures lead to a different failure handling path: (1) we don't abort the stage after 4 task failures, instead we immediately go back to the stage which generated the map output, and regenerate the missing data. (2) we don't count fetch failures from executors excluded due to too many task failures, since presumably its not the fault of the executor where the task ran, but the executor which stored the data. This is especially important because we might rack up a bunch of fetch-failures in rapid succession, on all nodes of the cluster, due to one bad node.

    Definition Classes
    FetchFailedTaskFailedReason
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. val mapId: Long
  12. val mapIndex: Int
  13. val message: String
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  17. val reduceId: Int
  18. val shuffleId: Int
  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  20. def toErrorString: String

    Error message displayed in the web UI.

    Error message displayed in the web UI.

    Definition Classes
    FetchFailedTaskFailedReason
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from TaskFailedReason

Inherited from TaskEndReason

Inherited from AnyRef

Inherited from Any

Ungrouped