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pegasus.spark.graphgen

RandomGenerator

Related Doc: package graphgen

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object RandomGenerator

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  1. case class Region(srcMin: Long, dstMin: Long, srcMax: Long, dstMax: Long, numEdges: Long) extends Product with Serializable

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    a region.

    a region.

    srcMin

    the minimum source node id in the region

    dstMin

    the minimum destination node id in the region

    srcMax

    the source node ids in the region are less than srcMax

    dstMax

    the destination node ids in the region are less than dstMax

    numEdges

    the number of edges in the region

  2. case class RegionSlot(edgeCapacity: Long, regions: Buffer[Region]) extends Product with Serializable

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Value Members

  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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    @throws( classOf[java.lang.Throwable] )

  9. def generate(region: Region): Stream[(Long, Long)]

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    generate edges within a given region

    generate edges within a given region

    region

    to process

    returns

    list of edges in the region

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def main(args: Array[String]): Unit

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  14. def multinomial(n: Long, p: Array[Double]): Array[Long]

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    get a sample following a multinomial distribution

    get a sample following a multinomial distribution

    n

    the number of trials

    p

    list of probability

    returns

    a sample following a multinomial distribution

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def regionOrder(r: Region): Long

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  19. def regionSlotOrder(s: RegionSlot): Long

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  20. def run(numNodes: Long, numEdges: Long, numTasks: Int, sc: SparkContext): RDD[(Long, Long)]

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    submit the spark job.

    submit the spark job.

    numNodes

    the number of nodes

    numEdges

    the number of edges

    numTasks

    degree of parallelism (the number of tasks to run)

    sc

    spark context

    returns

    an RDD containing edges of the generated graph

  21. def splitRegion(region: Region): Array[Region]

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    split a region

    split a region

    region

    to split

    returns

    list of splitted regions

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

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  23. val thresholdRegionEdgeNum: Int

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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