Class

com.github.sadikovi.spark.netflow.sources

AutoPartitionMode

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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

Linear Supertypes
Serializable, Serializable, Product, Equals, PartitionMode, AnyRef, Any
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  1. AutoPartitionMode
  2. Serializable
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Instance Constructors

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

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    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: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef

  7. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  9. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  10. val minNumPartitions: Int

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    minimum number of partitions, after which auto partitioning is applied

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

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    Definition Classes
    AnyRef

  12. final def notify(): Unit

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    Definition Classes
    AnyRef

  13. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  14. val partitionSize: Long

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    partition size (best bucket size) to compare

  15. def resolveNumPartitions(maxSlices: Int): Int

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    Return appropriate number of partitions for mode

    Return appropriate number of partitions for mode

    Definition Classes
    AutoPartitionMode → PartitionMode

  16. def slice(seq: Seq[NetFlowFileStatus], numSlices: Int): Seq[Seq[NetFlowFileStatus]]

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    Standard slice function to partition sequence

    Standard slice function to partition sequence

    Attributes
    protected
    Definition Classes
    PartitionMode

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

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    Definition Classes
    AnyRef

  18. def toString(): String

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    Definition Classes
    AutoPartitionMode → AnyRef → Any

  19. def tryToPartition(seq: Seq[NetFlowFileStatus]): Seq[Seq[NetFlowFileStatus]]

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    Try partitioning sequence of metadata depending on mode

    Try partitioning sequence of metadata depending on mode

    Definition Classes
    AutoPartitionMode → PartitionMode

  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from PartitionMode

Inherited from AnyRef

Inherited from Any

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