org.bdgenomics.utils.instrumentation

SparkMetrics

abstract class SparkMetrics extends AnyRef

Allows metrics for Spark to be captured and rendered in tabular form.

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RecordedSparkMetrics
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Instance Constructors

  1. new SparkMetrics()

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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def mapStageIdToName(stageId: Int, stageName: String): Unit

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def print(out: PrintWriter): Unit

  17. def recordStageDuration(stageId: Int, stageName: Option[String], duration: Duration): ArrayBuffer[StageTiming]

  18. val stageTimes: ArrayBuffer[StageTiming]

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

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  20. def taskTimer(name: String): TaskTimer

    Subclasses should call this method to create a new TaskTimer and to register it

    Subclasses should call this method to create a new TaskTimer and to register it

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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