Class

net.sansa_stack.inference.spark.data.loader.rdd.rdf

RDFReader

Related Doc: package rdf

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implicit class RDFReader extends AnyRef

Adds methods, rdf, ntriples and turtle, to SparkContext that allows to read N-Triples and Turtle files

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  1. new RDFReader(sc: SparkContext)

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

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  2. final def ##(): Int

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def ntriples: (String) ⇒ RDD[Triple]

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    Load RDF data in N-Triples syntax into an RDD[Triple]

    Load RDF data in N-Triples syntax into an RDD[Triple]

    returns

    the RDD

  16. def rdf(lang: Lang): (String) ⇒ RDD[Triple]

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    Load RDF data into an RDD[Triple].

    Load RDF data into an RDD[Triple]. Currently, only N-Triples and Turtle syntax are supported

    lang

    the RDF language (Turtle or N-Triples)

    returns

    the RDD

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

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  18. def toString(): String

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  19. def turtle: (String) ⇒ RDD[Triple]

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    Load RDF data in Turtle syntax into an RDD[Triple]

    Load RDF data in Turtle syntax into an RDD[Triple]

    returns

    the RDD

  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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