org.sparklinedata.druid.metadata

DruidDataSource

case class DruidDataSource(name: String, intervals: List[Interval], columns: Map[String, DruidColumn], size: Long, numRows: Long, timeTicks: Long, druidVersion: String = null) extends DruidDataSourceCapability with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, DruidDataSourceCapability, AnyRef, Any
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Inherited
  1. DruidDataSource
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. DruidDataSourceCapability
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new DruidDataSource(name: String, intervals: List[Interval], columns: Map[String, DruidColumn], size: Long, numRows: Long, timeTicks: Long, druidVersion: String = null)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

  8. val columns: Map[String, DruidColumn]

  9. lazy val dimensions: IndexedSeq[DruidDimension]

  10. val druidVersion: String

    Definition Classes
    DruidDataSource → DruidDataSourceCapability

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

    Definition Classes
    AnyRef

  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  14. def indexOfDimension(d: String): Int

  15. val intervals: List[Interval]

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  17. def metric(name: String): Option[DruidMetric]

  18. lazy val metrics: Map[String, DruidMetric]

  19. val name: String

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

    Definition Classes
    AnyRef

  21. final def notify(): Unit

    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  23. def numDimensions: Int

  24. val numRows: Long

  25. val size: Long

  26. def supportsBoundFilter: Boolean

    Definition Classes
    DruidDataSourceCapability

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

    Definition Classes
    AnyRef

  28. lazy val timeDimension: Option[DruidColumn]

  29. val timeTicks: Long

  30. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from DruidDataSourceCapability

Inherited from AnyRef

Inherited from Any

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