Packages

o

org.apache.graphar.graph

GraphReader

object GraphReader

The helper object for reading graph through the definitions of graph info.

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. GraphReader
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  9. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  13. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  14. def read(graphInfoPath: String, spark: SparkSession): (Map[String, DataFrame], Map[(String, String, String), Map[String, DataFrame]])

    Reading the graph as vertex and edge DataFrames with the graph info yaml file.

    Reading the graph as vertex and edge DataFrames with the graph info yaml file.

    graphInfoPath

    The path of the graph info yaml.

    spark

    The Spark session for the loading.

    returns

    Pair of vertex DataFrames and edge DataFrames, the vertex DataFrames are stored as the map of (vertex_label -> DataFrame) the edge DataFrames are stored as a map of (srcLabel_edgeLabel_dstLabel -> (adj_list_type_str -> DataFrame))

  15. def readWithGraphInfo(graphInfo: GraphInfo, spark: SparkSession): (Map[String, DataFrame], Map[(String, String, String), Map[String, DataFrame]])

    Reading the graph as vertex and edge DataFrames with the graph info object.

    Reading the graph as vertex and edge DataFrames with the graph info object.

    graphInfo

    The info object for the graph.

    spark

    The Spark session for the loading.

    returns

    Pair of vertex DataFrames and edge DataFrames, the vertex DataFrames are stored as the map of (vertex_label -> DataFrame) the edge DataFrames are stored as a map of ((srcLabel, edgeLabel, dstLabel) -> (adj_list_type_str -> DataFrame))

  16. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  17. def toString(): String
    Definition Classes
    AnyRef → Any
  18. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  20. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from AnyRef

Inherited from Any

Ungrouped