AbstractRDFGraphSpark

abstract def cache(): G

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

abstract def difference(graph: G): G

abstract def distinct(): G

abstract def find(triple: Rdf.Triple): G

abstract def find(s: Option[Rdf.Node], p: Option[Rdf.Node], o: Option[Rdf.Node]): G

abstract def intersection(graph: G): G

abstract def size(): Long

abstract def toDataFrame(sparkSession: SparkSession = null, schema: SQLSchema = SQLSchemaDefault): DataFrame

Convert the current graph to a Dataframe of RDF triples.

abstract def toRDD(): RDD[Rdf.Triple]

Convert the current graph to an RDD of RDF triples.

abstract def union(graph: G): G

abstract def unionAll(graphs: Seq[G]): G

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

val triples: D

final def wait(): Unit

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

final def wait(arg0: Long): Unit