Class

net.gonzberg.spark.sorting

SecondarySortGroupByKeyDatasetFunctions

Related Doc: package sorting

Permalink

final class SecondarySortGroupByKeyDatasetFunctions[K, V] extends Serializable

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SecondarySortGroupByKeyDatasetFunctions
  2. Serializable
  3. Serializable
  4. AnyRef
  5. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SecondarySortGroupByKeyDatasetFunctions(dataset: Dataset[(K, V)])

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

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

    Permalink
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  13. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  14. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  15. def sortedFoldLeftByKey[A](startValue: A, op: (A, V) ⇒ A, orderExprs: Column*)(implicit kaEncoder: Encoder[(K, A)]): Dataset[(K, A)]

    Permalink

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    A

    the result type of the folding operation

    startValue

    the start value for the fold

    op

    the binary operation for folding

    orderExprs

    the column(s) to order by within each group

    returns

    Dataset with keys and values, where values are the result of applying foldLeft across the sorted values

  16. def sortedFoldLeftByKey[A](startValue: A, op: (A, V) ⇒ A, numPartitions: Int, orderExprs: Column*)(implicit kSeqVEncoder: Encoder[(K, A)]): Dataset[(K, A)]

    Permalink

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    A

    the result type of the folding operation

    startValue

    the start value for the fold

    op

    the binary operation for folding

    numPartitions

    the number of partitions

    orderExprs

    the column(s) to order by within each group

    returns

    Dataset with keys and values, where values are the result of applying foldLeft across the sorted values

  17. def sortedFoldLeftWithKeyedStartValues[A](startValues: Dataset[(K, A)], op: (A, V) ⇒ A, orderExprs: Column*)(implicit arg0: ClassTag[A], keyOrdering: Ordering[K], kaEncoder: Encoder[(K, A)]): Dataset[(K, A)]

    Permalink

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    A

    the result type of the folding operation

    startValues

    an RDD of start values by key

    op

    the binary operation for folding

    orderExprs

    the column(s) to order by within each group

    returns

    Dataset with keys and values, where values are the result of applying foldLeft across the sorted values

  18. def sortedFoldLeftWithKeyedStartValues[A](startValues: Dataset[(K, A)], op: (A, V) ⇒ A, numPartitions: Int, orderExprs: Column*)(implicit arg0: ClassTag[A], keyOrdering: Ordering[K], kaEncoder: Encoder[(K, A)]): Dataset[(K, A)]

    Permalink

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    Groups by key and applies a binary operation using foldLeft over the values sorted by some implicit ordering

    A

    the result type of the folding operation

    startValues

    an RDD of start values by key

    op

    the binary operation for folding

    numPartitions

    the number of partitions

    orderExprs

    the column(s) to order by within each group

    returns

    Dataset with keys and values, where values are the result of applying foldLeft across the sorted values

  19. def sortedGroupByKey(orderExprs: Column*)(implicit kSeqVEncoder: Encoder[(K, Seq[V])]): Dataset[(K, Seq[V])]

    Permalink

    Groups by key and sorts the values

    Groups by key and sorts the values

    orderExprs

    the column(s) to order by within each group

    returns

    Dataset of keys and sorted values

  20. def sortedGroupByKey(numPartitions: Int, orderExprs: Column*)(implicit kSeqVEncoder: Encoder[(K, Seq[V])]): Dataset[(K, Seq[V])]

    Permalink

    Groups by key and sorts the values

    Groups by key and sorts the values

    numPartitions

    the number of partitions for shuffling

    orderExprs

    the column(s) to order by within each group

    returns

    Dataset of keys and sorted values

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

    Permalink
    Definition Classes
    AnyRef
  22. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped