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ai.tripl.arc.transform

Typing

Related Doc: package transform

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object Typing

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Type Members

  1. sealed trait Typeable[T <: ExtractColumn, S] extends AnyRef

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  2. type TypedRow = Row

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    Phantom Type to enable compiler to find the encoder we want

  3. type TypingResult[S] = (Option[S], Option[TypingError])

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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. object Typeable

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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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. val errorStructType: StructType

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  18. def toString(): String

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  19. def typeDataFrame(untypedDataframe: DataFrame, cols: List[ExtractColumn], failMode: FailModeType, valueAccumulator: LongAccumulator, errorAccumulator: LongAccumulator)(implicit spark: SparkSession, logger: Logger): DataFrame

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  20. def typeValue(value: String, col: ExtractColumn): (Option[Any], Option[TypingError])

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  21. val typedFields: List[StructField]

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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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