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class GroupedAggregations extends AnyRef

Window aggregations that are grouped together. It holds the aggregation and the offsets of its input columns, along with the output columns it should write the result to.

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Instance Constructors

  1. new GroupedAggregations()

Value Members

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  4. def addAggregation(win: GpuWindowExpression, inputLocs: Array[Int], outputIndex: Int): Unit

    Add an aggregation.

    Add an aggregation.

    win

    the window this aggregation is over.

    inputLocs

    the locations of the input columns for this aggregation.

    outputIndex

    the output index this will write to in the final output.

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  7. def convertToColumnarBatch(dataTypes: Array[DataType], aggOutputColumns: Array[ColumnVector]): ColumnarBatch

    Turn the final result of the aggregations into a ColumnarBatch.

  8. def doAggs(isRunningBatched: Boolean, boundOrderSpec: Seq[SortOrder], orderByPositions: Array[Int], partByPositions: Array[Int], inputCb: ColumnarBatch, outputColumns: Array[ColumnVector]): Unit

    Do all of the aggregations and put them in the output columns.

    Do all of the aggregations and put them in the output columns. There may be extra processing after this before you get to a final result.

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