Trait

com.vbounyasit.bigdata.transform.joiner

Joiner

Related Doc: package joiner

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trait Joiner extends AnyRef

Trait defining a join operation between two dataFrames/Pipelines

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Abstract Value Members

  1. abstract val keys: List[JoinKey]

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    The join keys definition.

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. val joinPredicate: Option[Column]

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    Additional predicates to add to the join operation.

  13. val joinType: String

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    The join type (Note : 'left' by default against 'inner' on spark default join function).

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val postJoinTransformer: Option[(DataFrame) ⇒ DataFrame]

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    An optional transformer that will be applied right after the join operation.

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

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  19. implicit def toCommonKey(key: String): CommonKey

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    Implicitly converts strings to a CommonKey object

    Implicitly converts strings to a CommonKey object

    key

    the key we want to use

    returns

    the CommonKey object

  20. implicit def toKeyProjection(keys: ((String, String), String)): KeyProjection

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    Implicitly converts a (left, right) -> result data format into a KeyProjection object

    Implicitly converts a (left, right) -> result data format into a KeyProjection object

    keys

    the keys to convert

    returns

    The KeyProjection object

  21. def toString(): String

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  22. final def wait(): Unit

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

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

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