Packages

c

org.apache.spark.whylogs

DatasetProfileAggregator

case class DatasetProfileAggregator(datasetName: String, sessionTimeInMillis: Long, timeColumn: String = null, groupByColumns: Seq[String] = Seq()) extends sql.expressions.Aggregator[Row, DatasetProfile, ScalaDatasetProfile] with Serializable with Product

A dataset aggregator. It aggregates Row into DatasetProfile objects underneath the hood.

datasetName

the name of the dataset

sessionTimeInMillis

the session time for the profile

Linear Supertypes
Product, Equals, sql.expressions.Aggregator[Row, DatasetProfile, ScalaDatasetProfile], Serializable, Serializable, AnyRef, Any
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Inherited
  1. DatasetProfileAggregator
  2. Product
  3. Equals
  4. Aggregator
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DatasetProfileAggregator(datasetName: String, sessionTimeInMillis: Long, timeColumn: String = null, groupByColumns: Seq[String] = Seq())

    datasetName

    the name of the dataset

    sessionTimeInMillis

    the session time for the profile

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 bufferEncoder: Encoder[DatasetProfile]
    Definition Classes
    DatasetProfileAggregator → Aggregator
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val datasetName: String
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. def finish(reduction: DatasetProfile): ScalaDatasetProfile
    Definition Classes
    DatasetProfileAggregator → Aggregator
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. val groupByColumns: Seq[String]
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. def merge(profile1: DatasetProfile, profile2: DatasetProfile): DatasetProfile
    Definition Classes
    DatasetProfileAggregator → Aggregator
  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. def outputEncoder: Encoder[ScalaDatasetProfile]

    To understand the detailed implementation of this class, see ExpressionEncoder.

    To understand the detailed implementation of this class, see ExpressionEncoder.

    We use some internal Spark API here.

    Definition Classes
    DatasetProfileAggregator → Aggregator
  19. def reduce(profile: DatasetProfile, row: Row): DatasetProfile
    Definition Classes
    DatasetProfileAggregator → Aggregator
  20. val sessionTimeInMillis: Long
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. val timeColumn: String
  23. def toColumn: TypedColumn[Row, ScalaDatasetProfile]
    Definition Classes
    Aggregator
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  27. def zero: DatasetProfile
    Definition Classes
    DatasetProfileAggregator → Aggregator

Inherited from Product

Inherited from Equals

Inherited from sql.expressions.Aggregator[Row, DatasetProfile, ScalaDatasetProfile]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped