com.github.sadikovi.spark.netflow.sources

AutoPartitionMode

final case class AutoPartitionMode(partitionSize: Long, minNumPartitions: Int) extends PartitionMode with Product with Serializable

AutoPartitionMode allows to customize slices split based on certain constraints, such as maximum number of partitions, and maximum size of each partition.

partitionSize

partition size (best bucket size) to compare

minNumPartitions

minimum number of partitions, after which auto partitioning is applied

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Serializable, Serializable, Product, Equals, PartitionMode, AnyRef, Any
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Instance Constructors

  1. new AutoPartitionMode(partitionSize: Long, minNumPartitions: Int)

    partitionSize

    partition size (best bucket size) to compare

    minNumPartitions

    minimum number of partitions, after which auto partitioning is applied

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

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

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    AnyRef
  5. final def ==(arg0: Any): Boolean

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  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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    Annotations
    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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  9. def finalize(): Unit

    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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

    Definition Classes
    Any
  12. val minNumPartitions: Int

    minimum number of partitions, after which auto partitioning is applied

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

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

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

    Definition Classes
    AnyRef
  16. val partitionSize: Long

    partition size (best bucket size) to compare

  17. def resolveNumPartitions(maxSlices: Int): Int

    Return appropriate number of partitions for mode

    Return appropriate number of partitions for mode

    Definition Classes
    AutoPartitionMode → PartitionMode
  18. def slice(seq: Seq[NetFlowFileStatus], numSlices: Int): Seq[Seq[NetFlowFileStatus]]

    Standard slice function to partition sequence

    Standard slice function to partition sequence

    Attributes
    protected
    Definition Classes
    PartitionMode
  19. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  20. def toString(): String

    Definition Classes
    AutoPartitionMode → AnyRef → Any
  21. def tryToPartition(seq: Seq[NetFlowFileStatus]): Seq[Seq[NetFlowFileStatus]]

    Try partitioning sequence of metadata depending on mode

    Try partitioning sequence of metadata depending on mode

    Definition Classes
    AutoPartitionMode → PartitionMode
  22. final def wait(): Unit

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

    Definition Classes
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    @throws( ... )
  24. final def wait(arg0: Long): Unit

    Definition Classes
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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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Inherited from PartitionMode

Inherited from AnyRef

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