Class

io.smartdatalake.workflow.action

WriteSubFeedResult

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case class WriteSubFeedResult(noData: Option[Boolean], metrics: Option[Map[String, Any]] = None) extends Product with Serializable

Return value of writing a SubFeed.

noData

true if there was no data to write, otherwise false. If unknown set to None.

metrics

Depending on the engine, metrics are received by a listener (SparkSubFeed) or can be returned directly by filling this attribute (FileSubFeed).

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Instance Constructors

  1. new WriteSubFeedResult(noData: Option[Boolean], metrics: Option[Map[String, Any]] = None)

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    noData

    true if there was no data to write, otherwise false. If unknown set to None.

    metrics

    Depending on the engine, metrics are received by a listener (SparkSubFeed) or can be returned directly by filling this attribute (FileSubFeed).

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 finalize(): Unit

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

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  9. final def isInstanceOf[T0]: Boolean

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  10. val metrics: Option[Map[String, Any]]

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    Depending on the engine, metrics are received by a listener (SparkSubFeed) or can be returned directly by filling this attribute (FileSubFeed).

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

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  12. val noData: Option[Boolean]

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    true if there was no data to write, otherwise false.

    true if there was no data to write, otherwise false. If unknown set to None.

  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. final def wait(): Unit

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

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

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