Class

io.smartdatalake.workflow.action.customlogic

SparkUDFCreatorConfig

Related Doc: package customlogic

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case class SparkUDFCreatorConfig(className: String, options: Option[Map[String, String]] = None) extends Product with Serializable

Configuration to register a UserDefinedFunction in the spark session of SmartDataLake.

className

fully qualified class name of class implementing SparkUDFCreator interface. The class needs a constructor without parameters.

options

Options are passed to SparkUDFCreator apply method.

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  1. SparkUDFCreatorConfig
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Instance Constructors

  1. new SparkUDFCreatorConfig(className: String, options: Option[Map[String, String]] = None)

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    className

    fully qualified class name of class implementing SparkUDFCreator interface. The class needs a constructor without parameters.

    options

    Options are passed to SparkUDFCreator apply method.

Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any
  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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    Any
  5. val className: String

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    fully qualified class name of class implementing SparkUDFCreator interface.

    fully qualified class name of class implementing SparkUDFCreator interface. The class needs a constructor without parameters.

  6. def clone(): AnyRef

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    protected[java.lang]
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  7. final def eq(arg0: AnyRef): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. final def isInstanceOf[T0]: Boolean

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

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  12. final def notify(): Unit

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    AnyRef
  13. final def notifyAll(): Unit

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    AnyRef
  14. val options: Option[Map[String, String]]

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    Options are passed to SparkUDFCreator apply method.

  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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