AbstractRDFGraph

abstract def cache(): G

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

abstract def distinct(): G

Returns a new graph that does not contain duplicate triples.

abstract def find(triple: Triple): T

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

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

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

abstract def size(): Long

Return the number of triples.

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

abstract def toRDD(): RDD[RDFTriple]

abstract def union(graph: G): G

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

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit