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com.nvidia.spark.rapids

GpuAggFinalPassIterator

object GpuAggFinalPassIterator

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  8. def finalize(): Unit
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  11. final def isInstanceOf[T0]: Boolean
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  12. def makeIter(cbIter: Iterator[ColumnarBatch], boundExpressions: BoundExpressionsModeAggregates, metrics: GpuHashAggregateMetrics): Iterator[ColumnarBatch]
  13. def makeIterFromSpillable(sbIter: Iterator[SpillableColumnarBatch], boundExpressions: BoundExpressionsModeAggregates, metrics: GpuHashAggregateMetrics): Iterator[ColumnarBatch]
  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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  16. final def notifyAll(): Unit
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  17. def setupReferences(groupingExpressions: Seq[NamedExpression], aggregateExpressions: Seq[GpuAggregateExpression], aggregateAttributes: Seq[Attribute], resultExpressions: Seq[NamedExpression], modeInfo: AggregateModeInfo): BoundExpressionsModeAggregates

    setupReferences binds input, final and result references for the aggregate.

    setupReferences binds input, final and result references for the aggregate. - input: used to obtain columns coming into the aggregate from the child - final: some aggregates like average use this to specify an expression to produce the final output of the aggregate. Average keeps sum and count throughout, and at the end it has to divide the two, to produce the single sum/count result. - result: used at the end to output to our parent

  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. final def wait(): Unit
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  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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