DiffMode

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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. val ColumnByColumn: Value

   

   The diff mode determines the output columns of the diffing transformation.

   The diff mode determines the output columns of the diffing transformation.

   - ColumnByColumn: The diff contains value columns from the left and right dataset, arranged column by column: diff,( changes,) id-1, id-2, …, left-value-1, right-value-1, left-value-2, right-value-2, …

   - SideBySide: The diff contains value columns from the left and right dataset, arranged side by side: diff,( changes,) id-1, id-2, …, left-value-1, left-value-2, …, right-value-1, right-value-2, … - LeftSide / RightSide: The diff contains value columns from the left / right dataset only.

5. def Default: Value

   

   The diff mode determines the output columns of the diffing transformation.

   The diff mode determines the output columns of the diffing transformation. The default diff mode is ColumnByColumn.

   Default is not a enum value here (hence the def) so that we do not have to include it in every match clause. We will see the respective enum value that Default points to instead.

6. val LeftSide: Value

   

   The diff mode determines the output columns of the diffing transformation.

   The diff mode determines the output columns of the diffing transformation.

   - ColumnByColumn: The diff contains value columns from the left and right dataset, arranged column by column: diff,( changes,) id-1, id-2, …, left-value-1, right-value-1, left-value-2, right-value-2, …

   - SideBySide: The diff contains value columns from the left and right dataset, arranged side by side: diff,( changes,) id-1, id-2, …, left-value-1, left-value-2, …, right-value-1, right-value-2, … - LeftSide / RightSide: The diff contains value columns from the left / right dataset only.

7. val RightSide: Value

   

   The diff mode determines the output columns of the diffing transformation.

   The diff mode determines the output columns of the diffing transformation.

   - ColumnByColumn: The diff contains value columns from the left and right dataset, arranged column by column: diff,( changes,) id-1, id-2, …, left-value-1, right-value-1, left-value-2, right-value-2, …

   - SideBySide: The diff contains value columns from the left and right dataset, arranged side by side: diff,( changes,) id-1, id-2, …, left-value-1, left-value-2, …, right-value-1, right-value-2, … - LeftSide / RightSide: The diff contains value columns from the left / right dataset only.

8. val SideBySide: Value

   

   The diff mode determines the output columns of the diffing transformation.

   The diff mode determines the output columns of the diffing transformation.

   - ColumnByColumn: The diff contains value columns from the left and right dataset, arranged column by column: diff,( changes,) id-1, id-2, …, left-value-1, right-value-1, left-value-2, right-value-2, …

   - SideBySide: The diff contains value columns from the left and right dataset, arranged side by side: diff,( changes,) id-1, id-2, …, left-value-1, left-value-2, …, right-value-1, right-value-2, … - LeftSide / RightSide: The diff contains value columns from the left / right dataset only.

9. final def Value(i: Int, name: String): Value

   

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11. final def Value(i: Int): Value

    

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12. final def Value: Value

    

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13. final def apply(x: Int): Value

    

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15. def clone(): AnyRef

    

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

    

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17. def equals(arg0: Any): Boolean

    

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18. def finalize(): Unit

    

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

    

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22. final def maxId: Int

    

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

    

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24. var nextId: Int

    

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26. final def notify(): Unit

    

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27. final def notifyAll(): Unit

    

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31. def values: ValueSet

    

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35. final def withName(s: String): Value

    

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36. def withNameOption(name: String): Option[Value]