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implicit class RDFReader extends AnyRef

Adds methods, rdf(lang: Lang), ntriples, nquads, and turtle, to ExecutionEnvironment that allows to read N-Triples, N-Quads and Turtle files.

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Instance Constructors

  1. new RDFReader(env: ExecutionEnvironment)

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  14. final def notifyAll(): Unit
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  15. def nquads(allowBlankLines: Boolean = false): (String) ⇒ DataSet[Triple]

    Load RDF data in N-Quads syntax into an DataSet[Triple], i.e.

    Load RDF data in N-Quads syntax into an DataSet[Triple], i.e. the graph will be omitted.

    allowBlankLines

    whether blank lines will be allowed and skipped during parsing

    returns

    the DataSet of triples

  16. def ntriples(allowBlankLines: Boolean = false): (String) ⇒ DataSet[Triple]

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

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

    allowBlankLines

    whether blank lines will be allowed and skipped during parsing

    returns

    the DataSet of triples

  17. def rdf(lang: Lang.Value, allowBlankLines: Boolean = false): (String) ⇒ DataSet[Triple]

    Load RDF data into an org.apache.flink.api.scala.DataSet[Triple].

    Load RDF data into an org.apache.flink.api.scala.DataSet[Triple]. Currently, N-Triples, N-Quads and Turtle syntax are supported.

    lang

    the RDF language (N-Triples, N-Quads, Turtle)

    returns

    the DataSet

  18. def rdfxml: (String) ⇒ DataSet[Triple]

    Load RDF data in RDF/XML syntax into an DataSet[Triple].

    Load RDF data in RDF/XML syntax into an DataSet[Triple].

    Note, the data will not be splitted and only loaded via a single task because of the nature of XML and how Spark can handle this format.

    returns

    the DataSet of triples

  19. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. def toString(): String
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  21. def turtle: (String) ⇒ DataSet[Triple]

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

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

    returns

    the DataSet of triples

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