Class

net.sansa_stack.ml.spark.mining.amieSpark

AbstractRDFGraph

Related Doc: package amieSpark

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abstract class AbstractRDFGraph[T, G <: AbstractRDFGraph[T, G]] extends AnyRef

A data structure that comprises a set of triples.

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Instance Constructors

  1. new AbstractRDFGraph(triples: T)

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Abstract Value Members

  1. abstract def cache(): G

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    Persist the triples RDD with the default storage level (MEMORY_ONLY).

  2. abstract def distinct(): G

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    Returns a new graph that does not contain duplicate triples.

  3. abstract def find(triple: Triple): T

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    Returns an RDD of triples that match with the given input.

    Returns an RDD of triples that match with the given input.

    returns

    RDD of triples

  4. abstract def find(s: Option[String] = None, p: Option[String] = None, o: Option[String] = None): T

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    Returns an RDD of triples that match with the given input.

    Returns an RDD of triples that match with the given input.

    s

    the subject

    p

    the predicate

    o

    the object

    returns

    RDD of triples

  5. abstract def size(): Long

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    Return the number of triples.

    Return the number of triples.

    returns

    the number of triples

  6. abstract def toDataFrame(sparkSession: SparkSession = null): DataFrame

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  7. abstract def toRDD(): RDD[RDFTriple]

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  8. abstract def union(graph: G): G

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    Return the union of the current RDF graph with the given RDF graph

    Return the union of the current RDF graph with the given RDF graph

    graph

    the other RDF graph

    returns

    the union of both graphs

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