Trait

com.coxautodata.waimak.dataflow.spark.dataquality

DataQualityCheck

Related Doc: package dataquality

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trait DataQualityCheck[Self <: DataQualityCheck[Self]] extends AnyRef

Defines a data quality check

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AnyRef, Any
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DatasetChecks
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Abstract Value Members

  1. abstract def ++(other: Self): Self

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    Combine this check with another check to take advantage of potential optimisations

    Combine this check with another check to take advantage of potential optimisations

    other

    the check to be combined with this one

    returns

    the two checks combined into a new check

  2. abstract def getAlerts(label: String, data: Dataset[_]): Seq[DataQualityAlert]

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    Get any alerts for this check for a given label and Dataset.

    Get any alerts for this check for a given label and Dataset. Normally, no alerts should be returned if the check passes, although alerting on a successful check could also be a valid use case.

    label

    the label which the check is being performed on

    data

    the Dataset on which to perform the check

    returns

    the data quality alerts

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. def toString(): String

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  17. def validateCheck: Try[Unit]

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    Validates the check

    Validates the check

    returns

    true if this is a valid check, false otherwise

  18. final def wait(): Unit

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

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

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