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ai.chronon.spark.stats

StatsGenerator

object StatsGenerator

StatsGenerator takes care of computation of metadata for dataframes as well as measuring differences between two dataframes. This applies to drifts as well between two dataframes.

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Type Members

  1. case class MetricTransform(name: String, expression: Column, operation: Operation, argMap: Map[String, String] = null) extends Product with Serializable

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. def anyTransforms(column: Column): Seq[MetricTransform]

    Stats applied to any column

  5. final def asInstanceOf[T0]: T0
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  6. def buildAggregator(metrics: Seq[MetricTransform], inputDf: DataFrame): RowAggregator

    Build RowAggregator to use for computing stats on a dataframe based on metrics

  7. def buildMetrics(fields: Array[(String, DataType)]): Seq[MetricTransform]

    For the schema of the data define metrics to be aggregated

  8. def clone(): AnyRef
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    @throws( ... ) @native()
  9. final def eq(arg0: AnyRef): Boolean
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  10. def equals(arg0: Any): Boolean
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  11. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  12. val finalizedPercentiles: IndexedSeq[Double]
  13. final def getClass(): Class[_]
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    @native()
  14. def hashCode(): Int
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    @native()
  15. val ignoreColumns: Seq[String]
  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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    @native()
  19. final def notifyAll(): Unit
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    @native()
  20. val nullPrefix: String
  21. val nullRatePrefix: String
  22. def numericTransforms(column: Column): Seq[MetricTransform]

    Stats applied to numeric columns

  23. final def synchronized[T0](arg0: ⇒ T0): T0
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  24. def toString(): String
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  25. val totalColumn: String
  26. final def wait(): Unit
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  27. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  28. final def wait(arg0: Long): Unit
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