case class BoundGpuWindowFunction(windowFunc: GpuWindowFunction, boundInputLocations: Array[Int]) extends Product with Serializable
The class represents a window function and the locations of its deduped inputs after an initial projection.
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- new BoundGpuWindowFunction(windowFunc: GpuWindowFunction, boundInputLocations: Array[Int])
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- def aggOverWindow(cb: ColumnarBatch, windowOpts: WindowOptions): AggregationOverWindow
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- val boundInputLocations: Array[Int]
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def
groupByScan(isRunningBatched: Boolean): Seq[AggAndReplace[GroupByScanAggregation]]
Get the operations to perform a group by scan aggregation.
Get the operations to perform a group by scan aggregation.
- isRunningBatched
is this for a batched running window operation?
- returns
the sequence of aggregation operators to do. There will be one
AggAndReplacefor each value inboundInputLocationsso that they can be zipped together.
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def
scan(isRunningBatched: Boolean): Seq[AggAndReplace[ScanAggregation]]
Get the operations to perform a scan aggregation.
Get the operations to perform a scan aggregation.
- isRunningBatched
is this for a batched running window operation?
- returns
the sequence of aggregation operators to do. There will be one
AggAndReplacefor each value inboundInputLocationsso that they can be zipped together.
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def
scanCombine(isRunningBatched: Boolean, cols: Seq[ColumnVector]): ColumnVector
After a scan or group by scan if there are multiple columns they need to be combined together into a single final output column.
After a scan or group by scan if there are multiple columns they need to be combined together into a single final output column. This does that job.
- isRunningBatched
is this for a batched running window operation?
- cols
the columns to be combined. This should not close them.
- returns
a single result column.
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- val windowFunc: GpuWindowFunction
- def windowOutput(cv: ColumnVector): ColumnVector