final case class AvgNumberMetricConfig(id: ID, description: Option[NonEmptyString], source: NonEmptyString, columns: SingleElemStringSeq, metadata: Seq[SparkParam] = Seq.empty) extends SingleColumnRegularMetricConfig with Product with Serializable
Average number regular metric configuration
- id
Metric ID
- description
Metric description
- source
Source ID over which metric is being calculated
- columns
Sequence of columns which are used for metric calculation
- metadata
List of metadata parameters specific to this metric
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- AvgNumberMetricConfig
- Product
- Equals
- SingleColumnRegularMetricConfig
- RegularMetricConfig
- RegularMetric
- MetricConfig
- JobConfigEntity
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- Serializable
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Instance Constructors
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new
AvgNumberMetricConfig(id: ID, description: Option[NonEmptyString], source: NonEmptyString, columns: SingleElemStringSeq, metadata: Seq[SparkParam] = Seq.empty)
- id
Metric ID
- description
Metric description
- source
Source ID over which metric is being calculated
- columns
Sequence of columns which are used for metric calculation
- metadata
List of metadata parameters specific to this metric
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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val
columns: SingleElemStringSeq
- Definition Classes
- AvgNumberMetricConfig → SingleColumnRegularMetricConfig
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val
description: Option[NonEmptyString]
- Definition Classes
- AvgNumberMetricConfig → JobConfigEntity
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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val
id: ID
- Definition Classes
- AvgNumberMetricConfig → JobConfigEntity
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def
initDFMetricCalculator(columns: Seq[String]): DFMetricCalculator
Inits DF metric calculator.
Inits DF metric calculator.
- columns
Sequence of columns this metric refers to.
- returns
Initial state of DF metric calculator.
- Definition Classes
- AvgNumberMetricConfig → RegularMetric
- Note
It is allowed to use
*in order to refer all source columns. In this case value of metricColumns will be the sequence with only one element:*. It is required to expand the star with actual list of source columns. But that information will only be available during metric processing after the source metadata is being retrieved. Thus, the expansion of*will be performed during metric processing and DF metric calculator will be initialized with actual list of source columns passed ascolumnsargument.
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def
initRDDMetricCalculator: RDDMetricCalculator
Inits RDD metric calculator.
Inits RDD metric calculator.
- returns
Initial state of RDD metric calculator.
- Definition Classes
- AvgNumberMetricConfig → RegularMetric
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final
def
isInstanceOf[T0]: Boolean
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val
metadata: Seq[SparkParam]
- Definition Classes
- AvgNumberMetricConfig → JobConfigEntity
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val
metadataString: Option[String]
- Definition Classes
- JobConfigEntity
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val
metricColumns: Seq[String]
- Definition Classes
- SingleColumnRegularMetricConfig → RegularMetricConfig → RegularMetric
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val
metricId: String
- Definition Classes
- MetricConfig
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val
metricName: MetricName
- Definition Classes
- AvgNumberMetricConfig → RegularMetric
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val
metricSource: String
- Definition Classes
- RegularMetricConfig → RegularMetric
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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val
paramString: Option[String]
- Definition Classes
- AvgNumberMetricConfig → RegularMetricConfig
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val
source: NonEmptyString
- Definition Classes
- AvgNumberMetricConfig → RegularMetricConfig
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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