SingleMetricCheck

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. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def complianceCheck(threshold: AbsoluteThreshold[Double], complianceFn: ComplianceFn, filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[DoubleMetric]

   

   Checks the fraction of rows that are compliant with the given complianceFn

   Checks the fraction of rows that are compliant with the given complianceFn

   threshold

   - the threshold for what fraction of rows is acceptable

   complianceFn

   - the function rows are tested with to see if they are compliant

   filter

   - the filter that is applied before the compliance fraction is calculated

7. def distinctValuesCheck(threshold: AbsoluteThreshold[Long], onColumns: List[String], filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[LongMetric]

   

   Checks the number of distinct values across the given columns

   Checks the number of distinct values across the given columns

   threshold

   - the threshold for what number of distinct values is acceptable

   onColumns

   - the columns to check for distinct values in

   filter

   - the filter that is applied before the distinct value count is done

8. def distinctnessCheck(threshold: AbsoluteThreshold[Double], onColumns: List[String], filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[DoubleMetric]

   

   Checks the distinctness level of values across the given columns (result of 1 means every value is distinct)

   Checks the distinctness level of values across the given columns (result of 1 means every value is distinct)

   threshold

   - the threshold for what number of distinct values is acceptable

   onColumns

   - the columns to check for distinct values in

   filter

   - the filter that is applied before the distinct value count is done

9. def doubleMaxValueCheck(threshold: AbsoluteThreshold[Double], onColumn: String, filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[OptDoubleMetric]

   

   Checks the max value of a given Double column in a dataset after the given filter is applied is within the given threshold

   Checks the max value of a given Double column in a dataset after the given filter is applied is within the given threshold

   threshold

   the threshold for what fraction of rows is acceptable

   onColumn

   column on which max value needs to be computed

   filter

   the filter that is applied before the dataset max value is computed

10. def doubleMinValueCheck(threshold: AbsoluteThreshold[Double], onColumn: String, filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[OptDoubleMetric]

    

    Checks the min value of a given Double column in a dataset after the given filter is applied is within the given threshold

    Checks the min value of a given Double column in a dataset after the given filter is applied is within the given threshold

    threshold

    the threshold for what fraction of rows is acceptable

    onColumn

    column on which min value needs to be computed

    filter

    the filter that is applied before the dataset min value is computed

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

    

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12. def equals(arg0: Any): Boolean

    

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13. def finalize(): Unit

    

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

    

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15. def hashCode(): Int

    

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16. final def isInstanceOf[T0]: Boolean

    

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17. def longMaxValueCheck(threshold: AbsoluteThreshold[Long], onColumn: String, filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[OptLongMetric]

    

    Checks the max value of a given Int or Long column in a dataset after the given filter is applied is within the given threshold

    Checks the max value of a given Int or Long column in a dataset after the given filter is applied is within the given threshold

    threshold

    the threshold for what fraction of rows is acceptable

    onColumn

    column on which max value needs to be computed

    filter

    the filter that is applied before the dataset max value is computed

18. def longMinValueCheck(threshold: AbsoluteThreshold[Long], onColumn: String, filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[OptLongMetric]

    

    Checks the min value of a given Int or Long column in a dataset after the given filter is applied is within the given threshold

    Checks the min value of a given Int or Long column in a dataset after the given filter is applied is within the given threshold

    threshold

    the threshold for what fraction of rows is acceptable

    onColumn

    column on which min value needs to be computed

    filter

    the filter that is applied before the dataset min value is computed

19. def maxValueCheck[MV <: OptNumericMetricValue](threshold: AbsoluteThreshold[SingleMetricCheck.maxValueCheck.MV.U], onColumn: String, filter: MetricFilter = MetricFilter.noFilter)(implicit arg0: MetricValueConstructor[MV]): SingleMetricCheck[MV]

    

    Checks the max value of a given column in a dataset after the given filter is applied is within the given threshold

    Checks the max value of a given column in a dataset after the given filter is applied is within the given threshold

    MV

    - type of optional metric value that will be used (should match the column type you're calculating the metric on)

    threshold

    the threshold for what fraction of rows is acceptable

    onColumn

    column on which min value needs to be computed

    filter

    the filter that is applied before the dataset min value is computed

20. def minValueCheck[MV <: OptNumericMetricValue](threshold: AbsoluteThreshold[SingleMetricCheck.minValueCheck.MV.U], onColumn: String, filter: MetricFilter = MetricFilter.noFilter)(implicit arg0: MetricValueConstructor[MV]): SingleMetricCheck[MV]

    

    Checks the min value of a given column in a dataset after the given filter is applied is within the given threshold

    Checks the min value of a given column in a dataset after the given filter is applied is within the given threshold

    MV

    - type of optional metric value that will be used (should match the column type you're calculating the metric on)

    threshold

    the threshold for what fraction of rows is acceptable

    onColumn

    column on which min value needs to be computed

    filter

    the filter that is applied before the dataset min value is computed

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

    

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22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

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24. def optThresholdBasedCheck[MV <: OptNumericMetricValue](metricDescriptor: MetricDescriptor { type MetricType = MV }, description: String, threshold: AbsoluteThreshold[SingleMetricCheck.optThresholdBasedCheck.MV.U]): SingleMetricCheck[MV]

    

    A check based on a single optional metric that checks if that metric is within the given threshold.

    A check based on a single optional metric that checks if that metric is within the given threshold. If the metric has a value of None the check will automatically fail

    MV

    - the type of the MetricValue that will be calculated in order to complete this check

    metricDescriptor

    - describes the metric the check will be done on

    description

    - the user friendly description for this check

    threshold

    - the threshold that the metric must be within to pass

25. def sizeCheck(threshold: AbsoluteThreshold[Long], filter: MetricFilter = MetricFilter.noFilter): SingleMetricCheck[LongMetric]

    

    Checks the count of rows in a dataset after the given filter is applied is within the given threshold

    Checks the count of rows in a dataset after the given filter is applied is within the given threshold

    filter

    - filter to be applied before rows are counted

26. def sumValueCheck[MV <: NumericMetricValue](threshold: AbsoluteThreshold[SingleMetricCheck.sumValueCheck.MV.T], onColumn: String, filter: MetricFilter = MetricFilter.noFilter)(implicit arg0: MetricValueConstructor[MV]): SingleMetricCheck[MV]

    

    Checks the sum of value of rows in a dataset for a given col after the given filter is applied is within the given threshold

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

    

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28. def thresholdBasedCheck[MV <: MetricValue](metricDescriptor: MetricDescriptor { type MetricType = MV }, description: String, threshold: AbsoluteThreshold[SingleMetricCheck.thresholdBasedCheck.MV.T]): SingleMetricCheck[MV]

    

    A check based on a single metric that checks if that metric is within the given threshold

    A check based on a single metric that checks if that metric is within the given threshold

    MV

    - the type of the MetricValue that will be calculated in order to complete this check

    metricDescriptor

    - describes the metric the check will be done on

    description

    - the user friendly description for this check

    threshold

    - the threshold that the metric must be within to pass

29. def toString(): String

    

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30. final def wait(): Unit

    

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

    

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

    

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