SparkDataFrameGUINode

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. def defineEntireOutputSchema(inputSchema: TabularSchema, params: OperatorParameters): TabularSchema

   

   Override this method to define an output schema in some way other than by defining an array of the fixed column definitions.

7. def defineOutputSchemaColumns(inputSchema: TabularSchema, params: OperatorParameters): Seq[ColumnDef]

   

   Override this method to define the output schema by assigning fixed column definitions.

   Override this method to define the output schema by assigning fixed column definitions. If you want to have a variable number of output columns, simply override the defineEntireOutputSchema method The default implementation of this method returns the same columns as the input data.

   inputSchema

   - the Alpine 'TabularSchema' for the input DataFrame

   params

   The parameters of the operator, including values set by the user.

   returns

   A list of Column definitions used to create the output schema

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def getOperatorStatus(context: OperatorDesignContext): OperatorStatus

    

    Definition Classes

    OperatorGUINode

13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def onInputOrParameterChange(inputSchemas: Map[String, TabularSchema], params: OperatorParameters, operatorSchemaManager: OperatorSchemaManager): OperatorStatus

    

    Calls 'updateOutputSchema' when the parameters are changed

    Calls 'updateOutputSchema' when the parameters are changed

    Definition Classes

    SparkDataFrameGUINode → OperatorGUINode

19. def onOutputVisualization(params: OperatorParameters, output: HdfsTabularDataset, visualFactory: VisualModelFactory): VisualModel

    

    Definition Classes

    OperatorGUINode

20. def onPlacement(operatorDialog: OperatorDialog, operatorDataSourceManager: OperatorDataSourceManager, operatorSchemaManager: OperatorSchemaManager): Unit

    

    Defines the params the user will be able to select.

    Defines the params the user will be able to select. The default asks for desired output format & output location.

    Definition Classes

    SparkDataFrameGUINode → OperatorGUINode

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

    

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22. def toString(): String

    

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23. def updateOutputSchema(inputSchemas: Map[String, TabularSchema], params: OperatorParameters, operatorSchemaManager: OperatorSchemaManager): Unit

    

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24. final def wait(): Unit

    

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

    

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

    

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