Type Members

1.  case class AvgNumberDFMetricCalculator(metricId: String, columns: Seq[String]) extends DFMetricCalculator with Product with Serializable

   Calculates mean (average) value of provided elements

   Calculates mean (average) value of provided elements

   Works for single column only!

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   Note

   Null values are omitted: For values: "3", "7", null Metric result would be: (3 + 7) / 2 = 5

2.  case class CastedNumberDFMetricCalculator(metricId: String, columns: Seq[String], reversed: Boolean) extends ConditionalDFCalculator with Product with Serializable

   Calculates amount of element that can be cast to numerical (double format)

   Calculates amount of element that can be cast to numerical (double format)

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   reversed

   Boolean flag indicating whether error collection logic should be reversed for this metric

3.  case class FirstQuantileDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double) extends PercentileDFCalculator with Product with Serializable

   Calculates first quantile for provided elements

   Calculates first quantile for provided elements

   Works for single column only!

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   accuracyError

   Required level of calculation accuracy

4.  case class FormattedNumberDFMetricCalculator(metricId: String, columns: Seq[String], precision: Int, scale: Int, compareRule: String, reversed: Boolean) extends ConditionalDFCalculator with Product with Serializable

   Calculates amount of elements that fit (or do not fit) provided Decimal format: Decimal(precision, scale)

   Calculates amount of elements that fit (or do not fit) provided Decimal format: Decimal(precision, scale)

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   precision

   Precision threshold

   scale

   Required scale

   compareRule

   Either "inbound" or "outbound": defines wither number should fit within provided decimal format or to be outside of the provided precision and scale

   reversed

   Boolean flag indicating whether error collection logic should be reversed for this metric

5.  case class GetPercentileDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double, target: Double) extends PercentileDFCalculator with Product with Serializable

   Calculates percentage value for given percentile value out of provided elements

   Calculates percentage value for given percentile value out of provided elements

   Works for single column only!

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   accuracyError

   Required level of calculation accuracy

   target

   Percentile value from set of column values.

6.  case class GetQuantileDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double, target: Double) extends PercentileDFCalculator with Product with Serializable

   Calculates arbitrary percentile for provided elements

   Calculates arbitrary percentile for provided elements

   Works for single column only!

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   accuracyError

   Required level of calculation accuracy

   target

   Percentage value for which percentile value is determined.

7.  case class MaxNumberDFMetricCalculator(metricId: String, columns: Seq[String]) extends DFMetricCalculator with Product with Serializable

   Calculates maximum numeric value for provided elements

   Calculates maximum numeric value for provided elements

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

8.  case class MedianValueDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double) extends PercentileDFCalculator with Product with Serializable

   Calculates median value for provided elements

   Calculates median value for provided elements

   Works for single column only!

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

   accuracyError

   Required level of calculation accuracy

9.  case class MinNumberDFMetricCalculator(metricId: String, columns: Seq[String]) extends DFMetricCalculator with Product with Serializable

   Calculates minimal numeric value for provided elements

   Calculates minimal numeric value for provided elements

   metricId

   Id of the metric.

   columns

   Sequence of columns which are used for metric calculation

10.  case class NumberBetweenDFMetricCalculator(metricId: String, columns: Seq[String], lowerCompareValue: Double, upperCompareValue: Double, includeBound: Boolean, reversed: Boolean) extends ConditionalDFCalculator with NumberCriteriaRepr with Product with Serializable

    Calculates count of rows for which column value is within the lowerCompareValue:upperCompareValue interval

    Calculates count of rows for which column value is within the lowerCompareValue:upperCompareValue interval

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    lowerCompareValue

    Target lower interval bound to compare with

    upperCompareValue

    Target upper interval bound to compare with

    includeBound

    Flag which sets whether compareValue is included or excluded from the interval

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

11.  trait NumberCriteriaRepr extends AnyRef

    Trait to be mixed to Number comparison metrics: defines standard error message for these types of metrics.

12.  case class NumberGreaterThanDFMetricCalculator(metricId: String, columns: Seq[String], compareValue: Double, includeBound: Boolean, reversed: Boolean) extends ConditionalDFCalculator with NumberCriteriaRepr with Product with Serializable

    Calculates count of rows for which column value is greater than compareValue

    Calculates count of rows for which column value is greater than compareValue

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    compareValue

    Target value to compare with

    includeBound

    Flag which sets whether compareValue is included or excluded from the interval

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

13.  case class NumberInDomainDFMetricCalculator(metricId: String, columns: Seq[String], domain: Set[Double], reversed: Boolean) extends ConditionalDFCalculator with Product with Serializable

    Calculated amount of numbers in provided domain set

    Calculated amount of numbers in provided domain set

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    domain

    Set of numbers that represents the requested domain

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

14.  case class NumberLessThanDFMetricCalculator(metricId: String, columns: Seq[String], compareValue: Double, includeBound: Boolean, reversed: Boolean) extends ConditionalDFCalculator with NumberCriteriaRepr with Product with Serializable

    Calculates count of rows for which column value is less than compareValue

    Calculates count of rows for which column value is less than compareValue

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    compareValue

    Target value to compare with

    includeBound

    Flag which sets whether compareValue is included or excluded from the interval

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

15.  case class NumberNotBetweenDFMetricCalculator(metricId: String, columns: Seq[String], lowerCompareValue: Double, upperCompareValue: Double, includeBound: Boolean, reversed: Boolean) extends ConditionalDFCalculator with NumberCriteriaRepr with Product with Serializable

    Calculates count of rows for which column value is not within the lowerCompareValue:upperCompareValue interval

    Calculates count of rows for which column value is not within the lowerCompareValue:upperCompareValue interval

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    lowerCompareValue

    Target lower interval bound to compare with

    upperCompareValue

    Target upper interval bound to compare with

    includeBound

    Flag which sets whether compareValue is included or excluded from the interval

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

16.  case class NumberOutDomainDFMetricCalculator(metricId: String, columns: Seq[String], domain: Set[Double], reversed: Boolean) extends ConditionalDFCalculator with Product with Serializable

    Calculated amount of numbers that are out of provided domain set

    Calculated amount of numbers that are out of provided domain set

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    domain

    Set of numbers that represents the requested domain

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

17.  case class NumberValuesDFMetricCalculator(metricId: String, columns: Seq[String], compareValue: Double, reversed: Boolean) extends ConditionalDFCalculator with Product with Serializable

    Counts number of appearances of requested number in processed elements

    Counts number of appearances of requested number in processed elements

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    compareValue

    Requested number to find

    reversed

    Boolean flag indicating whether error collection logic should be reversed for this metric

18.  abstract class PercentileDFCalculator extends DFMetricCalculator

    Base class for all metrics thad compute percentiles based on T-Digest.

19.  case class StdNumberDFMetricCalculator(metricId: String, columns: Seq[String]) extends DFMetricCalculator with Product with Serializable

    Calculates standard deviation calculated from provided elements

    Calculates standard deviation calculated from provided elements

    Works for single column only!

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    Note

    Null values are omitted.

    ,

    Computes population standard deviation.

20.  case class SumNumberDFMetricCalculator(metricId: String, columns: Seq[String]) extends DFMetricCalculator with Product with Serializable

    Calculates sum of provided elements

    Calculates sum of provided elements

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

21.  case class ThirdQuantileDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double) extends PercentileDFCalculator with Product with Serializable

    Calculates third quantile for provided elements

    Calculates third quantile for provided elements

    Works for single column only!

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    accuracyError

    Required level of calculation accuracy