Packages

o

org.checkita.dqf.core.metrics.df.regular

GroupingDFMetrics

object GroupingDFMetrics

WARNING: All grouping dataframe metric calculators will group dataset by the input metric columns. Thus, calculation of grouping calculators will definitely involve data shuffling! For large data sets shuffling may significantly slower the application and would require more resources to be completed.

Use grouping calculators with caution!

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. GroupingDFMetrics
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Type Members

  1. case class DistinctValuesDFMetricCalculator(metricId: String, columns: Seq[String]) extends GroupingDFMetricCalculator with Product with Serializable

    Calculates count of distinct values in processed elements

    Calculates count of distinct values in processed elements

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

    Note

    If exact result is not mandatory, then it's better to use HyperLogLog-based metric calculator called "APPROXIMATE_DISTINCT_VALUES".

  2. case class DuplicateValuesDFMetricCalculator(metricId: String, columns: Seq[String]) extends GroupingDFMetricCalculator with Product with Serializable

    Calculates number of duplicate values for given column or tuple of columns.

    Calculates number of duplicate values for given column or tuple of columns.

    metricId

    Id of the metric.

    columns

    Sequence of columns which are used for metric calculation

  3. case class SequenceCompletenessDFMetricCalculator(metricId: String, columns: Seq[String], increment: Long) extends GroupingDFMetricCalculator with Product with Serializable

    Calculates completeness of incremental integer (long) sequence, i.e.

    Calculates 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

    Note

    If exact result is not mandatory, then it's better to use HyperLogLog-based metric calculator called "APPROXIMATE_SEQUENCE_COMPLETENESS".

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  14. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  16. def toString(): String
    Definition Classes
    AnyRef → Any
  17. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from AnyRef

Inherited from Any

Ungrouped