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org.apache.spark.sql.pipelines.graph

PipelineExecution

class PipelineExecution extends AnyRef

Executes a DataflowGraph by resolving the graph, materializing datasets, and running the flows.

Source
PipelineExecution.scala
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Instance Constructors

  1. new PipelineExecution(context: PipelineUpdateContext)

    context

    The context for this pipeline update.

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  8. def executionStarted: Boolean
  9. final def getClass(): Class[_ <: AnyRef]
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  10. def hashCode(): Int
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  14. final def notifyAll(): Unit
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  15. def runPipeline(): Unit

    Starts pipeline execution and waits for it to complete before returning.

  16. def startPipeline(): Unit

    Starts the pipeline execution by initializing the graph and starting the graph execution thread.

    Starts the pipeline execution by initializing the graph and starting the graph execution thread. This function does not block on the completion of the graph execution thread.

  17. def stopPipeline(): Unit

    Stops the pipeline execution by stopping the graph execution thread.

  18. final def synchronized[T0](arg0: => T0): T0
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  19. def toString(): String
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  20. final def wait(arg0: Long, arg1: Int): Unit
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  21. final def wait(arg0: Long): Unit
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  22. final def wait(): Unit
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Deprecated Value Members

  1. def finalize(): Unit
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    Deprecated

    (Since version 9)

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