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Switch and/or to use new cudf binops to improve performance #4501

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merged 4 commits into from
Jan 21, 2022
Merged

Switch and/or to use new cudf binops to improve performance #4501

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2e5e310
Switch and/or to use new cudf binops to improve performance
revans2 Jan 10, 2022
ab7d064
Follow on issues and an AST fix
revans2 Jan 11, 2022
8164a59
Merge branch 'branch-22.02' into and_perf_test
revans2 Jan 20, 2022
c7fb797
Cleaup and addressed review comments
revans2 Jan 20, 2022
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133 changes: 2 additions & 131 deletions sql-plugin/src/main/scala/org/apache/spark/sql/rapids/predicates.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -56,81 +56,14 @@ case class GpuNot(child: Expression) extends CudfUnaryExpression
}
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}

object GpuLogicHelper {
def eqNullAware(lhs: GpuScalar, rhs: Boolean): Boolean =
lhs.isValid && (lhs.getValue.asInstanceOf[Boolean] == rhs)
}

case class GpuAnd(left: Expression, right: Expression) extends CudfBinaryOperator with Predicate {
override def inputType: AbstractDataType = BooleanType

override def symbol: String = "&&"

override def sqlOperator: String = "AND"

override def binaryOp: BinaryOp = BinaryOp.LOGICAL_AND

import GpuLogicHelper._

// The CUDF implementation of `and` will return a null if either input is null
// Spark does not.
// |LHS/RHS| TRUE | FALSE | NULL |
// |TRUE | TRUE | FALSE | NULL |
// |FALSE | FALSE | FALSE | FALSE |
// |NULL | NULL | FALSE | NULL |
// So we have to make some adjustments.
// IF (A <=> FALSE, FALSE,
// IF (B <=> FALSE, FALSE,
// A cudf_and B))

override def doColumnar(lhs: GpuColumnVector, rhs: GpuColumnVector): ColumnVector = {
val l = lhs.getBase
val r = rhs.getBase
withResource(Scalar.fromBool(false)) { falseVal =>
val firstPass = withResource(l.and(r)) { lAndR =>
withResource(l.equalToNullAware(falseVal)) { lIsFalse =>
lIsFalse.ifElse(falseVal, lAndR)
}
}
withResource(firstPass) { firstPass =>
withResource(r.equalToNullAware(falseVal)) { rIsFalse =>
rIsFalse.ifElse(falseVal, firstPass)
}
}
}
}

override def doColumnar(lhs: GpuScalar, rhs: GpuColumnVector): ColumnVector = {
val l = lhs.getBase
val r = rhs.getBase
withResource(Scalar.fromBool(false)) { falseVal =>
if (eqNullAware(lhs, false)) {
ColumnVector.fromScalar(falseVal, r.getRowCount.toInt)
} else {
withResource(l.and(r)) { lAndR =>
withResource(r.equalToNullAware(falseVal)) { rIsFalse =>
rIsFalse.ifElse(falseVal, lAndR)
}
}
}
}
}

override def doColumnar(lhs: GpuColumnVector, rhs: GpuScalar): ColumnVector = {
val l = lhs.getBase
val r = rhs.getBase
withResource(Scalar.fromBool(false)) { falseVal =>
if (eqNullAware(rhs, false)) {
ColumnVector.fromScalar(falseVal, l.getRowCount.toInt)
} else {
withResource(l.and(r)) { lAndR =>
withResource(l.equalToNullAware(falseVal)) { lIsFalse =>
lIsFalse.ifElse(falseVal, lAndR)
}
}
}
}
}
override def binaryOp: BinaryOp = BinaryOp.NULL_LOGICAL_AND
}

case class GpuOr(left: Expression, right: Expression) extends CudfBinaryOperator with Predicate {
Expand All @@ -140,69 +73,7 @@ case class GpuOr(left: Expression, right: Expression) extends CudfBinaryOperator

override def sqlOperator: String = "OR"

override def binaryOp: BinaryOp = BinaryOp.LOGICAL_OR

import GpuLogicHelper._

// The CUDF implementation of `or` will return a null if either input is null
// Spark does not.
// |LHS/RHS| TRUE | FALSE | NULL |
// |TRUE | TRUE | TRUE | TRUE |
// |FALSE | TRUE | FALSE | NULL |
// |NULL | TRUE | NULL | NULL |
// So we have to make some adjustments.
// IF (A <=> TRUE, TRUE,
// IF (B <=> TRUE, TRUE,
// A cudf_or B))

override def doColumnar(lhs: GpuColumnVector, rhs: GpuColumnVector): ColumnVector = {
val l = lhs.getBase
val r = rhs.getBase
withResource(Scalar.fromBool(true)) { trueVal =>
val firstPass = withResource(l.or(r)) { lOrR =>
withResource(l.equalToNullAware(trueVal)) { lIsTrue =>
lIsTrue.ifElse(trueVal, lOrR)
}
}
withResource(firstPass) { firstPass =>
withResource(r.equalToNullAware(trueVal)) { rIsTrue =>
rIsTrue.ifElse(trueVal, firstPass)
}
}
}
}

override def doColumnar(lhs: GpuScalar, rhs: GpuColumnVector): ColumnVector = {
val l = lhs.getBase
val r = rhs.getBase
withResource(Scalar.fromBool(true)) { trueVal =>
if (eqNullAware(lhs, true)) {
ColumnVector.fromScalar(trueVal, r.getRowCount.toInt)
} else {
withResource(l.or(r)) { lOrR =>
withResource(r.equalToNullAware(trueVal)) { rIsTrue =>
rIsTrue.ifElse(trueVal, lOrR)
}
}
}
}
}

override def doColumnar(lhs: GpuColumnVector, rhs: GpuScalar): ColumnVector = {
val l = lhs.getBase
val r = rhs.getBase
withResource(Scalar.fromBool(true)) { trueVal =>
if (eqNullAware(rhs, true)) {
ColumnVector.fromScalar(trueVal, l.getRowCount.toInt)
} else {
withResource(l.or(r)) { lOrR =>
withResource(l.equalToNullAware(trueVal)) { lIsFalse =>
lIsFalse.ifElse(trueVal, lOrR)
}
}
}
}
}
override def binaryOp: BinaryOp = BinaryOp.NULL_LOGICAL_OR
}

abstract class CudfBinaryComparison extends CudfBinaryOperator with Predicate {
Expand Down