Class

io.github.sparkdataprocessing

MetricRecord

Related Doc: package sparkdataprocessing

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case class MetricRecord(columns: String, aggregation: String, column_0: String, column_1: String, column_2: String, column_3: String, column_4: String, value: Double) extends Product with Serializable

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. MetricRecord
  2. Serializable
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  4. Product
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Instance Constructors

  1. new MetricRecord(columns: String, aggregation: String, column_0: String, column_1: String, column_2: String, column_3: String, column_4: String, value: Double)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. val aggregation: String

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
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  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )

  7. val column_0: String

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  8. val column_1: String

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  9. val column_2: String

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  10. val column_3: String

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  11. val column_4: String

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  12. val columns: String

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  13. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  14. def finalize(): Unit

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    protected[java.lang]
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    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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  16. final def isInstanceOf[T0]: Boolean

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  17. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
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  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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

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  21. val value: Double

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  22. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

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