DimensionChangeSet

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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. def apply(dimensionDF: DataFrame, surrogateKey: String, naturalKeys: Seq[String], derivedColumns: Seq[String] = Seq(), metaColumns: Seq[String] = Seq(), incrementalLoad: Boolean = true): DFFunc

   

   Get the dimension change set for the provided input data.

   Get the dimension change set for the provided input data. The resultant dataframe will contain a columns named 'change_status' containing the change statuses: INSERT, UPDATE, NCD, INVALID

   dimensionDF

   DataFrame Dimension table dataframe

   surrogateKey

   String Surrogate key column name

   naturalKeys

   Seq[String List of natural key columns for the Dimension

   derivedColumns

   Seq[String List of derived columns for the Dimension. Derived columns will not be considered for SCD For update records, If source has the derived columns then source value will be considered else target values

   metaColumns

   Seq[String List of meta columns for the Dimension table. Meta columns will not be considered for SCD Meta columns will be null for the insert and update records

   incrementalLoad

   Flag denoting whether it is a incremental load or full load

   returns

   DFFunc

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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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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18. final def wait(): Unit

    

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

    

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

    

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