DseGraphFrameBuilder

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(graphName: String, spark: SparkSession, graphOptions: Map[String, String] = Map.empty): DseGraphFrameBuilder

   

   Construct initial DseGraphFrame

   Construct initial DseGraphFrame

   spark

   Spark session

   graphOptions

   Optional Spark Cassandra Connector options

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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   protected[java.lang]

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7. def dseGraph(graphName: String, graphFrame: GraphFrame): DseGraphFrame

   

   Should be used to convert graph frame to DseGraphFrame scala implicit conversion equivalent will be: graphFrame.graphName(graphName)

8. def dseGraph(graphName: String, vertices: DataFrame, edges: DataFrame): DseGraphFrame

   

   Should be used to restore graph frame from external source make sure ID fields was not changed or corrupted

   Should be used to restore graph frame from external source make sure ID fields was not changed or corrupted

   graphName

   graph to apply schema

   vertices

   DataFrame

   edges

   DataFrame

   returns

   DseGraphFrame that could be traversed or saved to DSE

9. def dseGraph(graphName: String, spark: SparkSession, options: Map[String, String]): DseGraphFrame

   

   Create graph frame with additional options

10. def dseGraph(graphName: String, spark: SparkSession, options: Map[String, String]): DseGraphFrame

    

    GraphFrame creation Java API

11. def dseGraph(graphName: String, spark: SparkSession): DseGraphFrame

    

    GraphFrame creation Java API

    GraphFrame creation Java API

    returns

    GraphFrame

12. def dseGraphs(cluster: DseCluster): List[String]

    

13. def dseGraphs(spark: SparkSession): List[String]

    

14. final def eq(arg0: AnyRef): Boolean

    

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15. def equals(arg0: Any): Boolean

    

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16. def finalize(): Unit

    

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17. final def getClass(): Class[_]

    

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18. def hashCode(): Int

    

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19. final def isInstanceOf[T0]: Boolean

    

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20. def jWithDataStoreDo[T](conf: SparkConf, code: Function[ExternalDataStore, T]): T

    

21. def jWithDataStoreDo[T](spark: SparkSession, code: Function[ExternalDataStore, T]): T

    

22. def keyspace(graphName: String, conf: SparkConf): GraphKeyspace

    

23. final def ne(arg0: AnyRef): Boolean

    

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24. final def notify(): Unit

    

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25. final def notifyAll(): Unit

    

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26. def schema(spark: SparkSession): Schema

    

27. def schema(conf: SparkConf): Schema

    

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

    

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29. def toString(): String

    

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30. final def wait(): Unit

    

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

    

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32. final def wait(arg0: Long): Unit

    

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33. def withDataStoreDo[T](spark: SparkSession)(code: (ExternalDataStore) ⇒ T): T

    

34. def withDataStoreDo[T](conf: SparkConf)(code: (ExternalDataStore) ⇒ T): T

    

    Allows to use ExternalDataStore in a safe way without risk of forgetting to close the underling cluster and connection