Class

org.apache.spark.executor

InputMetrics

Related Doc: package executor

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case class InputMetrics(readMethod: DataReadMethod.Value) extends Product with Serializable

:: DeveloperApi :: Metrics about reading input data.

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@DeveloperApi()
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Serializable, Serializable, Product, Equals, AnyRef, Any
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Instance Constructors

  1. new InputMetrics(readMethod: DataReadMethod.Value)

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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 bytesRead: Long

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  6. var bytesReadCallback: Option[() ⇒ Long]

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    This is volatile so that it is visible to the updater thread.

  7. def clone(): AnyRef

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

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  9. def finalize(): Unit

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

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  11. def incBytesRead(bytes: Long): Unit

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  12. def incRecordsRead(records: Long): Unit

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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. val readMethod: DataReadMethod.Value

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  18. def recordsRead: Long

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  19. def setBytesReadCallback(f: Option[() ⇒ Long]): Unit

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    Register a function that can be called to get up-to-date information on how many bytes the task has read from an input source.

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

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  21. def updateBytesRead(): Unit

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    Invoke the bytesReadCallback and mutate bytesRead.

  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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