GraphLoader

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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8. def edgeListFile(sc: SparkContext, path: String, canonicalOrientation: Boolean = false, minEdgePartitions: Int = 1): 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

   minEdgePartitions

   the number of partitions for the edge RDD

   Example:

   1. Loads a file in the following format:

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

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

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11. def finalize(): Unit

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

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15. def isTraceEnabled(): Boolean

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16. def log: Logger

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17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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19. def logError(msg: ⇒ String, throwable: Throwable): Unit

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21. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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22. def logInfo(msg: ⇒ String): Unit

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23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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24. def logTrace(msg: ⇒ String): Unit

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25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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26. def logWarning(msg: ⇒ String): Unit

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32. final def wait(): Unit

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

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

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