c

com.linkedin.feathr.swj.aggregate

CountDistinctAggregate

class CountDistinctAggregate extends AggregationSpec

COUNT_DISTINCT aggregation implementation.

Linear Supertypes
AggregationSpec, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CountDistinctAggregate
  2. AggregationSpec
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CountDistinctAggregate(metricCol: String)

    metricCol

    Name of the metric column or a Spark SQL column expression for derived metric that will be aggregated using COUNT_DISTINCT.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def agg(aggregate: Any, record: Any, dataType: DataType): Any
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  5. def aggregation: AggregationType
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def calculateAggregate(aggregate: Any, dataType: DataType): Any
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def deagg(aggregate: Any, record: Any, dataType: DataType): Any
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def isCalculateAggregateNeeded: Boolean
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  16. def isIncrementalAgg: Boolean
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. val metricCol: String
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  19. def metricName: String
    Definition Classes
    CountDistinctAggregate → AggregationSpec
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. def updateAggDataType(featureColumnMetaData: FeatureColumnMetaData): Unit
    Definition Classes
    AggregationSpec
  26. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from AggregationSpec

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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