object TrampolineUtil

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  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 asNullable(dt: DataType): DataType
  6. def bytesToString(size: Long): String

    Get a human-readable string, e.g.: "4.0 MiB", for a value in bytes.

  7. def cleanupAnyExistingSession(): Unit

    Shuts down and cleans up any existing Spark session

  8. def clone(): AnyRef
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  9. def dataTypeExistsRecursively(dt: DataType, f: (DataType) ⇒ Boolean): Boolean

    Return true if the provided predicate function returns true for any type node within the datatype tree.

  10. def doExecuteBroadcast[T](child: SparkPlan): Broadcast[T]
  11. final def eq(arg0: AnyRef): Boolean
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  12. def equals(arg0: Any): Boolean
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  13. def finalize(): Unit
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  14. def fromAttributes(attrs: Seq[Attribute]): StructType
  15. final def getClass(): Class[_]
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    @native()
  16. def getFSBytesReadOnThreadCallback(): () ⇒ Long

    Returns a function that can be called to find Hadoop FileSystem bytes read.

    Returns a function that can be called to find Hadoop FileSystem bytes read. If getFSBytesReadOnThreadCallback is called from thread r at time t, the returned callback will return the bytes read on r since t.

  17. def getSimpleName(cls: Class[_]): String

    Get the simple name of a class with fixup for any Scala internal errors

  18. def hashCode(): Int
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    @native()
  19. def incBytesRead(inputMetrics: InputMetrics, bytesRead: Long): Unit

    Set the bytes read task input metric

  20. def incInputRecordsRows(inputMetrics: InputMetrics, rows: Long): Unit
  21. def incTaskMetricsDiskBytesSpilled(amountSpilled: Long): Unit

    Increment the task's disk bytes spilled metric.

    Increment the task's disk bytes spilled metric. If the current thread does not correspond to a Spark task then this call does nothing.

    amountSpilled

    amount of memory spilled in bytes

  22. def incTaskMetricsMemoryBytesSpilled(amountSpilled: Long): Unit

    Increment the task's memory bytes spilled metric.

    Increment the task's memory bytes spilled metric. If the current thread does not correspond to a Spark task then this call does nothing.

    amountSpilled

    amount of memory spilled in bytes

  23. def isDriver(env: SparkEnv): Boolean

    Returns true if called from code running on the Spark driver.

  24. final def isInstanceOf[T0]: Boolean
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  25. def isSupportedRelation(mode: BroadcastMode): Boolean
  26. def jsonValue(dataType: DataType): JValue
  27. def makeSparkUpgradeException(version: String, message: String, cause: Throwable): SparkUpgradeException
  28. final def ne(arg0: AnyRef): Boolean
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  29. def newBlockManagerId(execId: String, host: String, port: Int, topologyInfo: Option[String] = None): BlockManagerId

    Create a BlockManagerId instance

  30. def newInputMetrics(): InputMetrics

    Return a new InputMetrics instance

  31. final def notify(): Unit
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  32. final def notifyAll(): Unit
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  33. def structTypeMerge(left: DataType, right: DataType): DataType
  34. final def synchronized[T0](arg0: ⇒ T0): T0
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  35. def toAttributes(structType: StructType): Seq[Attribute]
  36. def toString(): String
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  37. final def wait(): Unit
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  38. final def wait(arg0: Long, arg1: Int): Unit
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  39. final def wait(arg0: Long): Unit
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