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t

com.nvidia.spark.rapids.window

BasicWindowCalc

trait BasicWindowCalc extends AnyRef

Calculates the results of window operations. It assumes that any batching of the data or fixups after the fact to get the right answer is done outside of this.

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Abstract Value Members

  1. abstract val boundOrderSpec: Seq[SortOrder]
  2. abstract val boundPartitionSpec: Seq[GpuExpression]
  3. abstract val boundWindowOps: Seq[GpuExpression]
  4. abstract def isRunningBatched: Boolean

    Is this going to do a batched running window optimization or not.

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  6. def computeBasicWindow(cb: ColumnarBatch): Array[ColumnVector]

    Compute the basic aggregations.

    Compute the basic aggregations. In some cases the resulting columns may not be the expected types. This could be caused by cudf type differences and can be fixed by calling castResultsIfNeeded or it could be different because the window operations know about a post processing step that needs to happen prior to castResultsIfNeeded.

    cb

    the batch to do window aggregations on.

    returns

    the cudf columns that are the results of doing the aggregations.

  7. def convertToBatch(dataTypes: Array[DataType], cols: Array[ColumnVector]): ColumnarBatch
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