ml.sparkling.graph.loaders.graphml

GraphMLLoader

object GraphMLLoader

Created by Roman Bartusiak ([email protected] http://riomus.github.io).

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Type Members

  1. case class GraphMLAttribute(name: String, handler: TypeHandler) extends Product with Serializable

  2. type ValuesMap = Map[String, Any]

Value Members

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

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

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  3. final def ##(): Int

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

  8. def createAttrHandlersFor(keys: RDD[Row]): Map[String, GraphMLAttribute]

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

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  10. def equals(arg0: Any): Boolean

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  11. def extractAttributesMap(attrHandlers: Map[String, GraphMLAttribute], r: Row): Map[String, Any]

  12. def finalize(): Unit

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. def loadGraphFromML(path: String)(implicit sc: SparkContext): Graph[ValuesMap, ValuesMap]

    Method loads single graph from XML file with GraphML format.

    Method loads single graph from XML file with GraphML format. Currently spark-xml is not suporting self closing tags. Because of that XML loading can be memmory consuming (on driver node)

    path

    - path of XML file

    sc

    - spark context

    returns

    loaded graph

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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