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Original file line number Diff line number Diff line change
Expand Up @@ -162,15 +162,23 @@ case class GpuSlice(x: Expression, start: Expression, length: Expression)
override def doColumnar(listS: GpuScalar, startCol: GpuColumnVector,
lengthCol: GpuColumnVector): ColumnVector = {
val numRows = startCol.getRowCount.toInt
withResource(GpuColumnVector.from(listS, numRows, dataType)) { listCol =>
doColumnar(listCol, startCol, lengthCol)
// When list is null, return all nulls like the CPU does.
if (!listS.isValid) {
GpuColumnVector.columnVectorFromNull(numRows, dataType)
} else {
withResource(GpuColumnVector.from(listS, numRows, dataType)) { listCol =>
doColumnar(listCol, startCol, lengthCol)
}
}
}

override def doColumnar(listCol: GpuColumnVector, startS: GpuScalar,
lengthS: GpuScalar): ColumnVector = {
// When either start or length is null, return all nulls like the CPU does.
if (listCol.getRowCount == listCol.numNulls() || !startS.isValid || !lengthS.isValid) {
// When input column is all nulls or either start or length is null,
// return all nulls like the CPU does. This matches CPU behavior for
// slice function with null inputs.
if (listCol.getRowCount == listCol.getBase.getNullCount ||
!startS.isValid || !lengthS.isValid) {
GpuColumnVector.columnVectorFromNull(listCol.getRowCount.toInt, dataType)
} else {
val list = listCol.getBase
Expand All @@ -189,7 +197,7 @@ case class GpuSlice(x: Expression, start: Expression, length: Expression)
override def doColumnar(listCol: GpuColumnVector, startS: GpuScalar,
lengthCol: GpuColumnVector): ColumnVector = {
// When start is null, return all nulls like the CPU does.
if (listCol.getRowCount == listCol.numNulls() || !startS.isValid) {
if (listCol.getRowCount == listCol.getBase.getNullCount || !startS.isValid) {
GpuColumnVector.columnVectorFromNull(listCol.getRowCount.toInt, dataType)
} else {
val list = listCol.getBase
Expand All @@ -211,11 +219,16 @@ case class GpuSlice(x: Expression, start: Expression, length: Expression)
override def doColumnar(listCol: GpuColumnVector, startCol: GpuColumnVector,
lengthS: GpuScalar): ColumnVector = {
// When length is null, return all nulls like the CPU does.
if (listCol.getRowCount == listCol.numNulls() || !lengthS.isValid) {
if (listCol.getRowCount == listCol.getBase.getNullCount || !lengthS.isValid) {
GpuColumnVector.columnVectorFromNull(listCol.getRowCount.toInt, dataType)
} else {
val list = listCol.getBase
val start = startCol.getBase
withResource(GpuDivModLike.mergeNulls(list, start)) { mergedNulls =>
if (mergedNulls.getRowCount == mergedNulls.getNullCount) {
return GpuColumnVector.columnVectorFromNull(listCol.getRowCount.toInt, dataType)
}
}
val length = lengthS.getValue.asInstanceOf[Int]
withResource(Scalar.fromInt(0)) { zero =>
if (start.contains(zero)) {
Expand All @@ -231,12 +244,20 @@ case class GpuSlice(x: Expression, start: Expression, length: Expression)

override def doColumnar(listCol: GpuColumnVector, startCol: GpuColumnVector,
lengthCol: GpuColumnVector): ColumnVector = {
if (listCol.getRowCount == listCol.numNulls()) {
if (listCol.getRowCount == listCol.getBase.getNullCount) {
GpuColumnVector.columnVectorFromNull(listCol.getRowCount.toInt, dataType)
} else {
val list = listCol.getBase
val start = startCol.getBase
val length = lengthCol.getBase
val mergedNullsList = withResource(GpuDivModLike.mergeNulls(list, start)) { mergedNulls =>
GpuDivModLike.mergeNulls(mergedNulls, length)
}
withResource(mergedNullsList) { _ =>
if (mergedNullsList.getRowCount == mergedNullsList.getNullCount) {
return GpuColumnVector.columnVectorFromNull(listCol.getRowCount.toInt, dataType)
}
}
withResource(Scalar.fromInt(0)) { zero =>
if (start.contains(zero)) {
throw RapidsErrorUtils.unexpectedValueForStartInFunctionError(prettyName)
Expand Down