Class

net.sansa_stack.rdf.spark.partition.graph.algo

PathPartition

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class PathPartition[VD, ED] extends PartitionAlgo[VD, ED] with Serializable

Path Partition Strategy expand the partitions by assign path groups of all start vertices Expand Edges set E+(i) = pg(sv*).edges

VD

the vertex attribute associated with each vertex in the set.

ED

the edge attribute associated with each edge in the set.

Linear Supertypes
PartitionAlgo[VD, ED], Serializable, Serializable, AnyRef, Any
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  1. PathPartition
  2. PartitionAlgo
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  4. Serializable
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Visibility
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Instance Constructors

  1. new PathPartition(graph: Graph[VD, ED], session: SparkSession, numPartitions: Int)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED])

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    Constructs a default instance with default parameters {numIterations: 5}

  2. new PathPartition(graph: Graph[VD, ED], session: SparkSession)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED])

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    Constructs a default instance with default parameters {numPartitions: graph partitions, numIterations: 5}

  3. new PathPartition(graph: Graph[VD, ED], session: SparkSession, numPartitions: PartitionID, numIterations: Int)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED])

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    graph

    target graph to be partitioned

    session

    spark session

    numPartitions

    number of partitions

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  10. val graph: Graph[VD, ED]

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    target graph to be partitioned

    target graph to be partitioned

    Definition Classes
    PathPartition → PartitionAlgo

  11. def hashCode(): Int

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    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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    AnyRef

  16. val numPartitions: PartitionID

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    number of partitions

    number of partitions

    Definition Classes
    PathPartition → PartitionAlgo

  17. def partitionBy(): Graph[VD, ED]

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    Repartition the edges in the graph and construct a new graph that partitioned by strategy with input number of partitions.

    Repartition the edges in the graph and construct a new graph that partitioned by strategy with input number of partitions.

    Definition Classes
    PathPartition → PartitionAlgo

  18. val paths: Paths[VD, ED]

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  19. val session: SparkSession

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    spark session

    spark session

    Definition Classes
    PathPartition → PartitionAlgo

  20. def setNumIterations(numIterations: Int): PathPartition.this.type

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    Sets the number of iterations (default: 5)

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

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  22. def toString(): String

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  23. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from PartitionAlgo[VD, ED]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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