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Refactor the window code so it is not mostly kept in a few very large…
… files [databricks] (#10146) Signed-off-by: Robert (Bobby) Evans <[email protected]>
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuWindowExec.scala
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/window/BasicWindowCalc.scala
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/window/GpuBatchedWindowIteratorUtils.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,118 @@ | ||
| /* | ||
| * Copyright (c) 2024, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| package com.nvidia.spark.rapids.window | ||
|
|
||
| import ai.rapids.cudf | ||
| import ai.rapids.cudf.{DType, Scalar} | ||
| import com.nvidia.spark.rapids.Arm.{withResource, withResourceIfAllowed} | ||
| import com.nvidia.spark.rapids.RapidsPluginImplicits.AutoCloseableProducingSeq | ||
|
|
||
| object GpuBatchedWindowIteratorUtils { | ||
| def cudfAnd(lhs: cudf.ColumnVector, | ||
| rhs: cudf.ColumnVector): cudf.ColumnVector = { | ||
| withResource(lhs) { lhs => | ||
| withResource(rhs) { rhs => | ||
| lhs.and(rhs) | ||
| } | ||
| } | ||
| } | ||
|
|
||
| def areRowPartsEqual( | ||
| scalars: Seq[Scalar], | ||
| columns: Seq[cudf.ColumnVector], | ||
| indexes: Seq[Int]): Array[Boolean] = { | ||
| withResourceIfAllowed(arePartsEqual(scalars, columns)) { | ||
| case scala.util.Right(ret) => Seq.fill(indexes.length)(ret).toArray | ||
| case scala.util.Left(column) => | ||
| indexes.map { index => | ||
| withResource(column.getScalarElement(index)) { scalar => | ||
| scalar.isValid && scalar.getBoolean | ||
| } | ||
| }.toArray | ||
| } | ||
| } | ||
|
|
||
| def arePartsEqual( | ||
| scalars: Seq[Scalar], | ||
| columns: Seq[cudf.ColumnVector]): Either[cudf.ColumnVector, Boolean] = { | ||
| if (scalars.length != columns.length) { | ||
| scala.util.Right(false) | ||
| } else if (scalars.isEmpty && columns.isEmpty) { | ||
| scala.util.Right(true) | ||
| } else { | ||
| scala.util.Left(computeMask(scalars, columns)) | ||
| } | ||
| } | ||
|
|
||
| private def computeMask( | ||
| scalars: Seq[Scalar], | ||
| columns: Seq[cudf.ColumnVector]): cudf.ColumnVector = { | ||
| val dType = scalars.head.getType | ||
| if (dType == DType.FLOAT32 || dType == DType.FLOAT64) { | ||
| // We need to handle nans and nulls | ||
| scalars.zip(columns).map { | ||
| case (scalar, column) => | ||
| withResource(scalar.equalToNullAware(column)) { eq => | ||
| dType match { | ||
| case DType.FLOAT32 if scalar.getFloat.isNaN => | ||
| withResource(column.isNan) { isNan => | ||
| isNan.or(eq) | ||
| } | ||
| case DType.FLOAT64 if scalar.getDouble.isNaN => | ||
| withResource(column.isNan) { isNan => | ||
| isNan.or(eq) | ||
| } | ||
| case _ => eq.incRefCount() | ||
| } | ||
| } | ||
| }.reduce(cudfAnd) | ||
| } else { | ||
| scalars.zip(columns).map { | ||
| case (scalar, column) => scalar.equalToNullAware(column) | ||
| }.reduce(cudfAnd) | ||
| } | ||
| } | ||
|
|
||
| def areOrdersEqual( | ||
| scalars: Seq[Scalar], | ||
| columns: Seq[cudf.ColumnVector], | ||
| partsEqual: Either[cudf.ColumnVector, Boolean]): Either[cudf.ColumnVector, Boolean] = { | ||
| if (scalars.length != columns.length) { | ||
| scala.util.Right(false) | ||
| } else if (scalars.isEmpty && columns.isEmpty) { | ||
| // they are equal but only so far as the parts are also equal | ||
| partsEqual match { | ||
| case r@scala.util.Right(_) => r | ||
| case scala.util.Left(mask) => scala.util.Left(mask.incRefCount()) | ||
| } | ||
| } else { | ||
| // Part mask and order by equality mask | ||
| partsEqual match { | ||
| case r@scala.util.Right(false) => r | ||
| case scala.util.Right(true) => | ||
| scala.util.Left(computeMask(scalars, columns)) | ||
| case scala.util.Left(partMask) => | ||
| withResource(computeMask(scalars, columns)) { orderMask => | ||
| scala.util.Left(orderMask.and(partMask)) | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| def getScalarRow(index: Int, columns: Seq[cudf.ColumnVector]): Array[Scalar] = | ||
| columns.safeMap(_.getScalarElement(index)).toArray | ||
| } |
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