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
- case class MetricTransform(name: String, expression: Column, operation: Operation, argMap: Map[String, String] = null) extends Product with Serializable
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- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- def anyTransforms(column: Column): Seq[MetricTransform]
Stats applied to any column
- final def asInstanceOf[T0]: T0
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- def buildAggregator(metrics: Seq[MetricTransform], inputDf: DataFrame): RowAggregator
Build RowAggregator to use for computing stats on a dataframe based on metrics
- def buildMetrics(fields: Array[(String, DataType)]): Seq[MetricTransform]
For the schema of the data define metrics to be aggregated
- def clone(): AnyRef
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- val finalizedPercentiles: IndexedSeq[Double]
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- val ignoreColumns: Seq[String]
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- val nullPrefix: String
- val nullRatePrefix: String
- def numericTransforms(column: Column): Seq[MetricTransform]
Stats applied to numeric columns
- final def synchronized[T0](arg0: => T0): T0
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- def toString(): String
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- val totalColumn: String
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