Object

ai.chronon.aggregator.row.StatsGenerator

InputTransform

Related Doc: package StatsGenerator

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object InputTransform extends Enumeration

InputTransform acts as a signal of how to process the metric.

IsNull: Check if the input is null.

Raw: Operate in the input column.

One: lit(true) in spark. Used for row counts leveraged to obtain null rate values.

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Enumeration, Serializable, Serializable, AnyRef, Any
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Type Members

  1. type InputTransform = Value

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  2. class Val extends Value with Serializable

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    @SerialVersionUID()

  3. abstract class Value extends Ordered[Value] with Serializable

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    @SerialVersionUID()

  4. class ValueSet extends AbstractSet[Value] with SortedSet[Value] with SortedSetLike[Value, ValueSet] with Serializable

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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. val IsNull: Value

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  5. val One: Value

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  6. val Raw: Value

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

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  8. final def Value(name: String): Value

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

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  10. final def Value: Value

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

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  12. final def asInstanceOf[T0]: T0

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  13. def clone(): AnyRef

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    @throws( ... )

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

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  15. def equals(arg0: Any): Boolean

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  16. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

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

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  18. def hashCode(): Int

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  19. final def isInstanceOf[T0]: Boolean

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  20. final def maxId: Int

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

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  22. var nextId: Int

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  23. var nextName: Iterator[String]

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  24. final def notify(): Unit

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  25. final def notifyAll(): Unit

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  26. def readResolve(): AnyRef

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

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  28. def toString(): String

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  29. def values: ValueSet

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  30. final def wait(): Unit

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    @throws( ... )

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

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

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

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Inherited from Serializable

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