GraphLoader

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

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8. def edgeListFile(sc: SparkContext, path: String, canonicalOrientation: Boolean = false, numEdgePartitions: Int = 1, edgeStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, vertexStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY): Graph[Int, Int]

   Loads a graph from an edge list formatted file where each line contains two integers: a source id and a target id.

   Loads a graph from an edge list formatted file where each line contains two integers: a source id and a target id. Skips lines that begin with #.

   If desired the edges can be automatically oriented in the positive direction (source Id < target Id) by setting canonicalOrientation to true.

   sc

   SparkContext

   path

   the path to the file (e.g., /home/data/file or hdfs://file)

   canonicalOrientation

   whether to orient edges in the positive direction

   numEdgePartitions

   the number of partitions for the edge RDD Setting this value to -1 will use the default parallelism.

   edgeStorageLevel

   the desired storage level for the edge partitions

   vertexStorageLevel

   the desired storage level for the vertex partitions

   Example:

   1. Loads a file in the following format:

      # Comment Line
      # Source Id <\t> Target Id
      1   -5
      1    2
      2    7
      1    8

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