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c

org.apache.spark.sql.connect.pipelines

DataflowGraphRegistry

class DataflowGraphRegistry extends AnyRef

Tracks the DataflowGraphs that have been registered. DataflowGraphs are registered by the PipelinesHandler when CreateDataflowGraph is called, and the PipelinesHandler also supports attaching flows/datasets to a graph.

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Instance Constructors

  1. new DataflowGraphRegistry()

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  6. def createDataflowGraph(defaultCatalog: String, defaultDatabase: String, defaultSqlConf: Map[String, String]): String

    Registers a GraphRegistrationContext and generates a unique id to associate with the graph

  7. def dropAllDataflowGraphs(): Unit

    Removes all graphs from the registry.

  8. def dropDataflowGraph(graphId: String): Unit

    Removes the graph with a given id from the registry.

  9. final def eq(arg0: AnyRef): Boolean
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  10. def equals(arg0: AnyRef): Boolean
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  11. def getAllDataflowGraphs: Seq[GraphRegistrationContext]

    Returns all graphs in the registry.

  12. final def getClass(): Class[_ <: AnyRef]
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    @IntrinsicCandidate() @native()
  13. def getDataflowGraph(graphId: String): Option[GraphRegistrationContext]

    Retrieves the graph for a given id.

  14. def getDataflowGraphOrThrow(dataflowGraphId: String): GraphRegistrationContext

    Retrieves the graph for a given id, and throws if the id could not be found.

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    (Since version 9)

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