Trait

com.crobox.clickhouse.dsl.AggregateFunction

AggregationFunctionsCombinersDsl

Related Doc: package AggregateFunction

Permalink

trait AggregationFunctionsCombinersDsl extends AnyRef

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

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. def aggIf[T <: TableColumn[Res], Res](condition: Comparison)(aggregated: AggregateFunction[Res]): CombinedAggregatedFunction[Nothing, Nothing]

    Permalink
  5. def array[T <: TableColumn[Seq[Res]], Res](aggregated: AggregateFunction[Res]): CombinedAggregatedFunction[T, Res]

    Permalink
  6. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  7. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. def forEach[V, T <: TableColumn[Seq[V]], Res](column: T)(forEachFunc: (TableColumn[V]) ⇒ AggregateFunction[Res]): AggregateFunction[Seq[Res]]

    Permalink

    Having a column with type array, it aggregates all the results for that column by running the provided aggregation functions for each vertical slice of the array elements.

    Having a column with type array, it aggregates all the results for that column by running the provided aggregation functions for each vertical slice of the array elements. Therefore, for the query result: \array_col| |[x1, y1, z1, u1] |[x2, y2, z2] |[x3, y3, z3]

    if you run sumForEach(array_col) you will get an array result with the following entries: [sum(x1,x3,x3), sum(y1,y2,y3), sum(z1, z2, z3), sum(u1)]

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

    Permalink
    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  15. def merge[T <: TableColumn[StateResult[Res]], Res](aggregated: AggregateFunction[Res]): CombinedAggregatedFunction[T, Res]

    Permalink
  16. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  19. def state[T <: TableColumn[Res], Res](aggregated: AggregateFunction[Res]): CombinedAggregatedFunction[T, StateResult[Res]]

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

    Permalink
    Definition Classes
    AnyRef
  21. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  22. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped