Object

org.apache.spark.graphx.PartitionStrategy

CanonicalRandomVertexCut

Related Doc: package PartitionStrategy

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object CanonicalRandomVertexCut extends PartitionStrategy with Product with Serializable

Assigns edges to partitions by hashing the source and destination vertex IDs in a canonical direction, resulting in a random vertex cut that colocates all edges between two vertices, regardless of direction.

Source
PartitionStrategy.scala
Linear Supertypes
Product, Equals, PartitionStrategy, Serializable, Serializable, AnyRef, Any
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  1. CanonicalRandomVertexCut
  2. Product
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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 clone(): AnyRef

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

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  10. def getPartition(src: VertexId, dst: VertexId, numParts: PartitionID): PartitionID

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    Returns the partition number for a given edge.

    Returns the partition number for a given edge.

    Definition Classes
    CanonicalRandomVertexCut → PartitionStrategy

  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. final def wait(): Unit

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

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

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Inherited from Product

Inherited from Equals

Inherited from PartitionStrategy

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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