object ApproxCardinalityDFMetrics
Metrics based on using HyperLogLog algorithm for estimating cardinality of data.
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case class
ApproximateDistinctValuesDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double) extends DFMetricCalculator with Product with Serializable
Calculates number of distinct values in processed elements
Calculates number of distinct values in processed elements
Works for single column only!
- metricId
Id of the metric.
- columns
Sequence of columns which are used for metric calculation
- accuracyError
Error of calculation
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case class
ApproximateSequenceCompletenessDFMetricCalculator(metricId: String, columns: Seq[String], accuracyError: Double, increment: Long) extends DFMetricCalculator with Product with Serializable
Calculates approximate completeness of incremental integer (long) sequence, i.e.
Calculates approximate completeness of incremental integer (long) sequence, i.e. checks if sequence does not have missing elements.
Works for single column only!
- metricId
Id of the metric.
- columns
Sequence of columns which are used for metric calculation
- accuracyError
Error of calculation
- increment
Sequence increment
- case class TopNDFMetricCalculator(metricId: String, columns: Seq[String], maxCapacity: Int, targetNumber: Int) extends DFMetricCalculator with Product with Serializable
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