Trait/Object

it.agilelab.bigdata.wasp.consumers.spark.streaming.actor.etl

MaterializationSteps

Related Docs: object MaterializationSteps | package etl

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trait MaterializationSteps extends AnyRef

Trait collecting operations to be composed to realize Materialization of a StructuredStreamingETLModel

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StructuredStreamingETLActor
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Abstract Value Members

  1. abstract val sparkSession: SparkSession

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  2. abstract val writerFactory: WriterFactory

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    We need a writer factory

    We need a writer factory

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    protected

Concrete 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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def materialize(etl: StructuredStreamingETLModel, pipegraph: PipegraphModel, dataFrame: DataFrame): Try[StreamingQuery]

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    Performs materialization of a DataFrame activated from a StructuredStreamingETLModel.

    Performs materialization of a DataFrame activated from a StructuredStreamingETLModel.

    etl

    The etl whose output dataFrame is being materialized

    pipegraph

    The pipegraph containing the etl

    dataFrame

    The DataFrame created by the activation step

    returns

    The Materialized StreamingQuery

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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