DfTransformerFunctionWrapper

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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   protected[java.lang]

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6. val description: Option[String]

   

   Definition Classes

   DfTransformerFunctionWrapper → DfTransformer

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

   

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8. def finalize(): Unit

   

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9. val fn: (DataFrame) ⇒ DataFrame

   

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

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. val name: String

    

    Definition Classes

    DfTransformerFunctionWrapper → DfTransformer

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. def prepare(actionId: ActionId)(implicit session: SparkSession, context: ActionPipelineContext): Unit

    

    Optional function to implement validations in prepare phase.

    Optional function to implement validations in prepare phase.

    Definition Classes

    DfTransformer

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

    

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18. def transform(actionId: ActionId, partitionValues: Seq[PartitionValues], df: DataFrame, dataObjectId: DataObjectId)(implicit session: SparkSession, context: ActionPipelineContext): DataFrame

    

    Function to be implemented to define the transformation between an input and output DataFrame (1:1)

    Function to be implemented to define the transformation between an input and output DataFrame (1:1)

    Definition Classes

    DfTransformerFunctionWrapper → DfTransformer

19. def transformPartitionValues(actionId: ActionId, partitionValues: Seq[PartitionValues])(implicit session: SparkSession, context: ActionPipelineContext): Option[Map[PartitionValues, PartitionValues]]

    

    Optional function to define the transformation of input to output partition values.

    Optional function to define the transformation of input to output partition values. For example this enables to implement aggregations where multiple input partitions are combined into one output partition. Note that the default value is input = output partition values, which should be correct for most use cases.

    actionId

    id of the action which executes this transformation. This is mainly used to prefix error messages.

    partitionValues

    partition values to transform

    returns

    Map of input to output partition values. This allows to map partition values forward and backward, which is needed in execution modes. Return None if mapping is 1:1.

    Definition Classes

    PartitionValueTransformer

20. final def wait(): Unit

    

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

    

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

    

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