StageInfoRecorderListener

Value Members

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

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. val StageIdtoJobGroup: HashMap[Int, String]

   

5. val StageIdtoJobId: HashMap[Int, Int]

   

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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   protected[java.lang]

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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    protected[java.lang]

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11. final def getClass(): Class[_]

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. final def ne(arg0: AnyRef): Boolean

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def onApplicationEnd(applicationEnd: SparkListenerApplicationEnd): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

18. def onApplicationStart(applicationStart: SparkListenerApplicationStart): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

19. def onBlockManagerAdded(blockManagerAdded: SparkListenerBlockManagerAdded): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

20. def onBlockManagerRemoved(blockManagerRemoved: SparkListenerBlockManagerRemoved): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

21. def onBlockUpdated(blockUpdated: SparkListenerBlockUpdated): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

22. def onEnvironmentUpdate(environmentUpdate: SparkListenerEnvironmentUpdate): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

23. def onExecutorAdded(executorAdded: SparkListenerExecutorAdded): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

24. def onExecutorBlacklisted(executorBlacklisted: SparkListenerExecutorBlacklisted): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

25. def onExecutorBlacklistedForStage(executorBlacklistedForStage: SparkListenerExecutorBlacklistedForStage): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

26. def onExecutorMetricsUpdate(executorMetricsUpdate: SparkListenerExecutorMetricsUpdate): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

27. def onExecutorRemoved(executorRemoved: SparkListenerExecutorRemoved): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

28. def onExecutorUnblacklisted(executorUnblacklisted: SparkListenerExecutorUnblacklisted): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

29. def onJobEnd(jobEnd: SparkListenerJobEnd): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

30. def onJobStart(jobStart: SparkListenerJobStart): Unit

    

    Definition Classes

    StageInfoRecorderListener → SparkListener → SparkListenerInterface

31. def onNodeBlacklisted(nodeBlacklisted: SparkListenerNodeBlacklisted): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

32. def onNodeBlacklistedForStage(nodeBlacklistedForStage: SparkListenerNodeBlacklistedForStage): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

33. def onNodeUnblacklisted(nodeUnblacklisted: SparkListenerNodeUnblacklisted): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

34. def onOtherEvent(event: SparkListenerEvent): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

35. def onSpeculativeTaskSubmitted(speculativeTask: SparkListenerSpeculativeTaskSubmitted): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

36. def onStageCompleted(stageCompleted: SparkListenerStageCompleted): Unit

    

    This methods fires at the end of the stage and collects metrics flattened into the stageMetricsData ListBuffer Note all reported times are in ms, cpu time and shuffle write time are originally in nanoseconds, thus in the code are divided by 1 million to normalize them to milliseconds

    This methods fires at the end of the stage and collects metrics flattened into the stageMetricsData ListBuffer Note all reported times are in ms, cpu time and shuffle write time are originally in nanoseconds, thus in the code are divided by 1 million to normalize them to milliseconds

    Definition Classes

    StageInfoRecorderListener → SparkListener → SparkListenerInterface

37. def onStageSubmitted(stageSubmitted: SparkListenerStageSubmitted): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

38. def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

39. def onTaskGettingResult(taskGettingResult: SparkListenerTaskGettingResult): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

40. def onTaskStart(taskStart: SparkListenerTaskStart): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

41. def onUnpersistRDD(unpersistRDD: SparkListenerUnpersistRDD): Unit

    

    Definition Classes

    SparkListener → SparkListenerInterface

42. val stageMetricsData: ListBuffer[StageVals]

    

43. final def synchronized[T0](arg0: ⇒ T0): T0

    

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44. def toString(): String

    

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45. final def wait(): Unit

    

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46. final def wait(arg0: Long, arg1: Int): Unit

    

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47. final def wait(arg0: Long): Unit

    

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