Packages

c

com.linkedin.feathr.swj.join

FeatureColumnMetaData

class FeatureColumnMetaData extends AnyRef

Metadata recording information needed to perform sliding window aggregation among cached Rows.

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Instance Constructors

  1. new FeatureColumnMetaData(featureName: String, windowSpec: WindowSpec, aggSpec: AggregationSpec, groupSpec: Option[GroupBySpec], dataType: DataType, groupColDataType: Option[DataType])

    windowSpec

    WindowSpec with information about window width and delay

    aggSpec

    AggregationSpec with information about the aggregation spec

    groupSpec

    An optional GroupBySpec with information about the grouping spec

    dataType

    DataType of the metric column. Each aggregation type supports different set of primitive types.

    groupColDataType

    An optional DataType of the group column. Could be None if groupSpec is None.

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 aggSpec: AggregationSpec
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  7. val dataType: DataType
  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. val featureName: String
  11. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
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    @native()
  13. val groupColDataType: Option[DataType]
  14. val groupSpec: Option[GroupBySpec]
  15. def hashCode(): Int
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    @native()
  16. final def isInstanceOf[T0]: Boolean
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  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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  19. final def notifyAll(): Unit
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  20. final def synchronized[T0](arg0: ⇒ T0): T0
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  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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  25. val windowSpec: WindowSpec

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