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ml.sparkling.graph.loaders.csv.GraphFromCsv

LoaderParameters

Related Doc: package GraphFromCsv

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object LoaderParameters

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  1. case class DefaultVertex[V](value: V) extends WithValueParameter[V] with Product with Serializable

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    Default value of vertex (required by Spark GraphX)

  2. case class Delimiter(value: String) extends WithValueParameter[String] with Product with Serializable

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    Delimiter used to separate fields

  3. case class EdgeColumn(value: Integer) extends WithValueParameter[Integer] with Product with Serializable

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    Id of column used as edge value

  4. case class EdgeValue[EV](value: EV) extends WithValueParameter[EV] with Product with Serializable

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    If you want each edge to have same value associated with, you can specify it by using that parameter

  5. case class FirstVertexColumn(value: Integer) extends WithValueParameter[Integer] with Product with Serializable

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    Id of column used as first vertex (base 0)

  6. case class Partitions(value: Integer) extends WithValueParameter[Integer] with Product with Serializable

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    Number of partitions used for data loading

  7. case class Quotation(value: String) extends WithValueParameter[String] with Product with Serializable

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    String used to quite fields

  8. case class Schema(value: StructType) extends WithValueParameter[StructType] with Product with Serializable

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    Schema of CSV file

  9. case class SecondVertexColumn(value: Integer) extends WithValueParameter[Integer] with Product with Serializable

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    Id of column used as second vertex (base 0)

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. object Indexing extends Parameter with Product with Serializable

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    Indicates that vertex columns are not numerical and automatic vertexId asigment should be done

  5. object NoHeader extends Parameter with Product with Serializable

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    Indicates that CSV has no header

  6. object SchemaInference extends Parameter with Product with Serializable

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    Indicates that automatic schema inference schould be done during loading process

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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