org.apache.spark.sql.rapids.bitwise.scala Maven / Gradle / Ivy
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Creates the distribution package of the RAPIDS plugin for Apache Spark
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/*
* Copyright (c) 2020-2023, 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 org.apache.spark.sql.rapids
import ai.rapids.cudf.{ast, BinaryOp, ColumnVector, DType, Scalar, UnaryOp}
import ai.rapids.cudf.ast.BinaryOperator
import com.nvidia.spark.rapids._
import com.nvidia.spark.rapids.Arm.withResource
import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, ImplicitCastInputTypes}
import org.apache.spark.sql.types._
object ShiftHelper {
// From the java language specification for Java 8
// If the promoted type of the left-hand operand is int, then only the five lowest-order bits of
// the right-hand operand are used as the shift distance. It is as if the right-hand operand
// were subjected to a bitwise logical AND operator & ( §15.22.1) with the mask value
// 0x1f (0b11111). The shift distance actually used is therefore always in the range 0 to 31,
// inclusive.
//
// If the promoted type of the left-hand operand is long, then only the six
// lowest-order bits of the right-hand operand are used as the shift distance. It is
// as if the right-hand operand were subjected to a bitwise logical AND operator & ( §15.22.1)
// with the mask value 0x3f (0b111111). The shift distance actually used is therefore always in
// the range 0 to 63, inclusive.
private def maskForDistance(t: DType): Int = t match {
case DType.INT32 => 0x1F // 0b11111
case DType.INT64 => 0x3F //0b111111
case t => throw new IllegalArgumentException(s"$t is not a supported type for java bit shifts")
}
def fixupDistanceNoClose(t: DType, distance: ColumnVector): ColumnVector = {
withResource(Scalar.fromInt(maskForDistance(t))) { mask =>
distance.bitAnd(mask)
}
}
def fixupDistanceNoClose(t: DType, distance: GpuScalar): Scalar = {
if (distance.isValid) {
Scalar.fromInt(distance.getValue.asInstanceOf[Int] & maskForDistance(t))
} else {
distance.getBase.incRefCount()
}
}
}
trait GpuShiftBase extends GpuBinaryExpression with ImplicitCastInputTypes {
def shiftOp: BinaryOp
override def doColumnar(lhs: GpuColumnVector, rhs: GpuColumnVector): ColumnVector = {
val lBase = lhs.getBase
withResource(ShiftHelper.fixupDistanceNoClose(lBase.getType, rhs.getBase)) { distance =>
lBase.binaryOp(shiftOp, distance, lBase.getType)
}
}
override def doColumnar(lhs: GpuScalar, rhs: GpuColumnVector): ColumnVector = {
withResource(ShiftHelper.fixupDistanceNoClose(lhs.getBase.getType, rhs.getBase)) { distance =>
lhs.getBase.binaryOp(shiftOp, distance, lhs.getBase.getType)
}
}
override def doColumnar(lhs: GpuColumnVector, rhs: GpuScalar): ColumnVector = {
val lBase = lhs.getBase
withResource(ShiftHelper.fixupDistanceNoClose(lBase.getType, rhs)) { distance =>
lBase.binaryOp(shiftOp, distance, lBase.getType)
}
}
override def doColumnar(numRows: Int, lhs: GpuScalar, rhs: GpuScalar): ColumnVector = {
withResource(GpuColumnVector.from(lhs, numRows, left.dataType)) { expandedLhs =>
doColumnar(expandedLhs, rhs)
}
}
}
case class GpuShiftLeft(left: Expression, right: Expression) extends GpuShiftBase {
override def inputTypes: Seq[AbstractDataType] =
Seq(TypeCollection(IntegerType, LongType), IntegerType)
override def shiftOp: BinaryOp = BinaryOp.SHIFT_LEFT
override def dataType: DataType = left.dataType
}
case class GpuShiftRight(left: Expression, right: Expression) extends GpuShiftBase {
override def inputTypes: Seq[AbstractDataType] =
Seq(TypeCollection(IntegerType, LongType), IntegerType)
override def shiftOp: BinaryOp = BinaryOp.SHIFT_RIGHT
override def dataType: DataType = left.dataType
}
case class GpuShiftRightUnsigned(left: Expression, right: Expression) extends GpuShiftBase {
override def inputTypes: Seq[AbstractDataType] =
Seq(TypeCollection(IntegerType, LongType), IntegerType)
override def shiftOp: BinaryOp = BinaryOp.SHIFT_RIGHT_UNSIGNED
override def dataType: DataType = left.dataType
}
case class GpuBitwiseAnd(left: Expression, right: Expression) extends CudfBinaryArithmetic {
override def inputType: AbstractDataType = IntegralType
override def symbol: String = "&"
override def binaryOp: BinaryOp = BinaryOp.BITWISE_AND
override def astOperator: Option[BinaryOperator] = Some(ast.BinaryOperator.BITWISE_AND)
override val failOnError: Boolean = false
}
case class GpuBitwiseOr(left: Expression, right: Expression) extends CudfBinaryArithmetic {
override def inputType: AbstractDataType = IntegralType
override def symbol: String = "|"
override def binaryOp: BinaryOp = BinaryOp.BITWISE_OR
override def astOperator: Option[BinaryOperator] = Some(ast.BinaryOperator.BITWISE_OR)
override val failOnError: Boolean = false
}
case class GpuBitwiseXor(left: Expression, right: Expression) extends CudfBinaryArithmetic {
override def inputType: AbstractDataType = IntegralType
override def symbol: String = "^"
override def binaryOp: BinaryOp = BinaryOp.BITWISE_XOR
override def astOperator: Option[BinaryOperator] = Some(ast.BinaryOperator.BITWISE_XOR)
override val failOnError: Boolean = false
}
case class GpuBitwiseNot(child: Expression) extends CudfUnaryExpression with ExpectsInputTypes {
override def inputTypes: Seq[AbstractDataType] = Seq(IntegralType)
override def unaryOp: UnaryOp = UnaryOp.BIT_INVERT
override def dataType: DataType = child.dataType
override def toString: String = s"~${child.sql}"
}
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