Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  def apply[VD, ED](vertices: RDD[(VertexId, VD)], edges: RDD[Edge[ED]], defaultVertexAttr: VD = null.asInstanceOf[VD], edgeStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, vertexStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED]): Graph[VD, ED]

   Construct a graph from a collection of vertices and edges with attributes.

   Construct a graph from a collection of vertices and edges with attributes. Duplicate vertices are picked arbitrarily and vertices found in the edge collection but not in the input vertices are assigned the default attribute.

   VD

   the vertex attribute type

   ED

   the edge attribute type

   vertices

   the "set" of vertices and their attributes

   edges

   the collection of edges in the graph

   defaultVertexAttr

   the default vertex attribute to use for vertices that are mentioned in edges but not in vertices

   edgeStorageLevel

   the desired storage level at which to cache the edges if necessary

   vertexStorageLevel

   the desired storage level at which to cache the vertices if necessary

5.  final def asInstanceOf[T0]: T0

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6.  def clone(): AnyRef

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   @throws( ... ) @native()

7.  final def eq(arg0: AnyRef): Boolean

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8.  def equals(arg0: Any): Boolean

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9.  def finalize(): Unit

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10.  def fromEdgeTuples[VD](rawEdges: RDD[(VertexId, VertexId)], defaultValue: VD, uniqueEdges: Option[PartitionStrategy] = None, edgeStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, vertexStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY)(implicit arg0: ClassTag[VD]): Graph[VD, Int]

    Construct a graph from a collection of edges encoded as vertex id pairs.

    Construct a graph from a collection of edges encoded as vertex id pairs.

    rawEdges

    a collection of edges in (src, dst) form

    defaultValue

    the vertex attributes with which to create vertices referenced by the edges

    uniqueEdges

    if multiple identical edges are found they are combined and the edge attribute is set to the sum. Otherwise duplicate edges are treated as separate. To enable uniqueEdges, a PartitionStrategy must be provided.

    edgeStorageLevel

    the desired storage level at which to cache the edges if necessary

    vertexStorageLevel

    the desired storage level at which to cache the vertices if necessary

    returns

    a graph with edge attributes containing either the count of duplicate edges or 1 (if uniqueEdges is None) and vertex attributes containing the total degree of each vertex.

11.  def fromEdges[VD, ED](edges: RDD[Edge[ED]], defaultValue: VD, edgeStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, vertexStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED]): Graph[VD, ED]

    Construct a graph from a collection of edges.

    Construct a graph from a collection of edges.

    edges

    the RDD containing the set of edges in the graph

    defaultValue

    the default vertex attribute to use for each vertex

    edgeStorageLevel

    the desired storage level at which to cache the edges if necessary

    vertexStorageLevel

    the desired storage level at which to cache the vertices if necessary

    returns

    a graph with edge attributes described by edges and vertices given by all vertices in edges with value defaultValue

12.  final def getClass(): Class[_]

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13.  implicit def graphToGraphOps[VD, ED](g: Graph[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED]): GraphOps[VD, ED]

    Implicitly extracts the GraphOps member from a graph.

    Implicitly extracts the GraphOps member from a graph.

    To improve modularity the Graph type only contains a small set of basic operations. All the convenience operations are defined in the GraphOps class which may be shared across multiple graph implementations.

14.  def hashCode(): Int

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15.  final def isInstanceOf[T0]: Boolean

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16.  final def ne(arg0: AnyRef): Boolean

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17.  final def notify(): Unit

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18.  final def notifyAll(): Unit

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

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20.  def toString(): String

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21.  final def wait(): Unit

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

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23.  final def wait(arg0: Long): Unit

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