DefaultSplineConfigurer

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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. def ignoredWriteDetectionStrategy: IgnoredWriteDetectionStrategy

    

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12. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    

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13. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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14. final def isInstanceOf[T0]: Boolean

    

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15. def isTraceEnabled(): Boolean

    

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16. def lineageDispatcher: LineageDispatcher

    

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17. def log: Logger

    

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18. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

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19. def logDebug(msg: ⇒ String): Unit

    

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20. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

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21. def logError(msg: ⇒ String): Unit

    

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22. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

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23. def logInfo(msg: ⇒ String): Unit

    

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24. def logName: String

    

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25. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

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26. def logTrace(msg: ⇒ String): Unit

    

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27. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    

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28. def logWarning(msg: ⇒ String): Unit

    

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29. def maybeUserExtraMetadataProvider: Option[UserExtraMetadataProvider]

    

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

    

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31. final def notify(): Unit

    

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32. final def notifyAll(): Unit

    

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33. def postProcessingFilter: PostProcessingFilter

    

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34. def queryExecutionEventHandler: QueryExecutionEventHandler

    

    A listener handling events from batch processing

    A listener handling events from batch processing

    returns

    za.co.absa.spline.harvester.QueryExecutionEventHandler

    Definition Classes

    DefaultSplineConfigurer → SplineConfigurer

35. lazy val splineMode: SplineMode

    

    Spline mode designates how Spline should behave in a context of a Spark application.

    Spline mode designates how Spline should behave in a context of a Spark application. It mostly relates to error handling. E.g. is lineage tracking a mandatory for the given Spark app or is it good to have. Should the Spark app be aborted on Spline errors or not.

    returns

    SplineMode

    Definition Classes

    DefaultSplineConfigurer → SplineConfigurer

    See also

    SplineMode

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

    

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37. def toString(): String

    

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38. final def wait(): Unit

    

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

    

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

    

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