Class

ch.cern.sparkmeasure

TaskInfoRecorderListener

Related Doc: package sparkmeasure

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class TaskInfoRecorderListener extends SparkListener

Linear Supertypes
SparkListener, SparkListenerInterface, AnyRef, Any
Known Subclasses
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Inherited
  1. TaskInfoRecorderListener
  2. SparkListener
  3. SparkListenerInterface
  4. AnyRef
  5. Any
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Instance Constructors

  1. new TaskInfoRecorderListener(gatherAccumulables: Boolean = false)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. val StageIdtoJobId: HashMap[Int, Int]

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  5. val accumulablesMetricsData: ListBuffer[TaskAccumulablesInfo]

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def encodeTaskLocality(taskLocality: TaskLocality): Int

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  9. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  15. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  16. final def notify(): Unit

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    Definition Classes
    AnyRef
  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  18. def onApplicationEnd(applicationEnd: SparkListenerApplicationEnd): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  19. def onApplicationStart(applicationStart: SparkListenerApplicationStart): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  20. def onBlockManagerAdded(blockManagerAdded: SparkListenerBlockManagerAdded): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  21. def onBlockManagerRemoved(blockManagerRemoved: SparkListenerBlockManagerRemoved): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  22. def onBlockUpdated(blockUpdated: SparkListenerBlockUpdated): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  23. def onEnvironmentUpdate(environmentUpdate: SparkListenerEnvironmentUpdate): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  24. def onExecutorAdded(executorAdded: SparkListenerExecutorAdded): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  25. def onExecutorMetricsUpdate(executorMetricsUpdate: SparkListenerExecutorMetricsUpdate): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  26. def onExecutorRemoved(executorRemoved: SparkListenerExecutorRemoved): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  27. def onJobEnd(jobEnd: SparkListenerJobEnd): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  28. def onJobStart(jobStart: SparkListenerJobStart): Unit

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    Definition Classes
    TaskInfoRecorderListener → SparkListener → SparkListenerInterface
  29. def onOtherEvent(event: SparkListenerEvent): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  30. def onStageCompleted(stageCompleted: SparkListenerStageCompleted): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  31. def onStageSubmitted(stageSubmitted: SparkListenerStageSubmitted): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  32. def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit

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    This methods fires at the end of the Task and collects metrics flattened into the taskMetricsData ListBuffer Note all times are in ms, cpu time and shufflewrite are originally in nanosec, thus in the code are divided by 1e6

    This methods fires at the end of the Task and collects metrics flattened into the taskMetricsData ListBuffer Note all times are in ms, cpu time and shufflewrite are originally in nanosec, thus in the code are divided by 1e6

    Definition Classes
    TaskInfoRecorderListener → SparkListener → SparkListenerInterface
  33. def onTaskGettingResult(taskGettingResult: SparkListenerTaskGettingResult): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  34. def onTaskStart(taskStart: SparkListenerTaskStart): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  35. def onUnpersistRDD(unpersistRDD: SparkListenerUnpersistRDD): Unit

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    Definition Classes
    SparkListener → SparkListenerInterface
  36. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  37. val taskMetricsData: ListBuffer[TaskVals]

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  38. def toString(): String

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    Definition Classes
    AnyRef → Any
  39. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from SparkListener

Inherited from SparkListenerInterface

Inherited from AnyRef

Inherited from Any

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