c
bio.ferlab.datalake.spark3.transformation
NormalizeColumnName
Companion object NormalizeColumnName
case class NormalizeColumnName(columns: String*) extends Transformation with Product with Serializable
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Instance Constructors
- new NormalizeColumnName(columns: String*)
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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def
->(t: Transformation): Transformation
Combines two transformations into one and execute the transformation on the left side of the arrow first.
Combines two transformations into one and execute the transformation on the left side of the arrow first.
- t
transformation to combine with
- returns
a new instance of Transformation
- Definition Classes
- Transformation
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- protected[lang]
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- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
- val columns: String*
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final
def
eq(arg0: AnyRef): Boolean
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final
def
getClass(): Class[_]
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isInstanceOf[T0]: Boolean
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def
notify(): Unit
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
transform: (DataFrame) ⇒ DataFrame
Main method of the trait.
Main method of the trait. It defines the logic to transform the input dataframe.
- returns
a transformed dataframe
- Definition Classes
- NormalizeColumnName → Transformation
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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def
wait(): Unit
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def
finalize(): Unit
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