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...c/main/spark350/scala/com/nvidia/spark/rapids/shims/api/python/ShimBasePythonRunner.scala
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sql-plugin/src/main/spark351/scala/com/nvidia/spark/rapids/shims/ComputeSequenceSize.scala
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| /* | ||
| * Copyright (c) 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. | ||
| */ | ||
|
|
||
| /*** spark-rapids-shim-json-lines | ||
| {"spark": "351"} | ||
| spark-rapids-shim-json-lines ***/ | ||
| package com.nvidia.spark.rapids.shims | ||
|
|
||
| import ai.rapids.cudf._ | ||
| import com.nvidia.spark.rapids.Arm._ | ||
|
|
||
| import org.apache.spark.sql.rapids.{AddOverflowChecks, SubtractOverflowChecks} | ||
| import org.apache.spark.unsafe.array.ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH | ||
|
|
||
| object GetSequenceSize { | ||
| val TOO_LONG_SEQUENCE = "Unsuccessful try to create array with elements exceeding the array " + | ||
| s"size limit $MAX_ROUNDED_ARRAY_LENGTH" | ||
| /** | ||
| * Compute the size of each sequence according to 'start', 'stop' and 'step'. | ||
| * A row (Row[start, stop, step]) contains at least one null element will produce | ||
| * a null in the output. | ||
| * | ||
| * The returned column should be closed. | ||
| */ | ||
| def apply( | ||
| start: ColumnVector, | ||
| stop: ColumnVector, | ||
| step: ColumnVector): ColumnVector = { | ||
|
|
||
| // Spark's algorithm to get the length (aka size) | ||
| // ``` Scala | ||
| // val delta = Math.subtractExact(stop, start) | ||
| // if (delta == Long.MinValue && step == -1L) { | ||
| // // We must special-case division of Long.MinValue by -1 to catch potential unchecked | ||
| // // overflow in next operation. Division does not have a builtin overflow check. We | ||
| // // previously special-case div-by-zero. | ||
| // throw new ArithmeticException("Long overflow (Long.MinValue / -1)") | ||
| // } | ||
| // val len = if (stop == start) 1L else Math.addExact(1L, (delta / step)) | ||
| // if (len > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) { | ||
| // throw QueryExecutionErrors.createArrayWithElementsExceedLimitError(len) | ||
| // } | ||
| // len.toInt | ||
| // ``` | ||
| val delta = withResource(stop.castTo(DType.INT64)) { stopAsLong => | ||
| withResource(start.castTo(DType.INT64)) { startAsLong => | ||
| closeOnExcept(stopAsLong.sub(startAsLong)) { ret => | ||
| // Throw an exception if stop - start overflows | ||
| SubtractOverflowChecks.basicOpOverflowCheck(stopAsLong, startAsLong, ret) | ||
| ret | ||
| } | ||
| } | ||
| } | ||
| withResource(Scalar.fromLong(Long.MinValue)) { longMin => | ||
| withResource(delta.equalTo(longMin)) { hasLongMin => | ||
| withResource(Scalar.fromInt(-1)) { minusOne => | ||
| withResource(step.equalTo(minusOne)) { stepEqualsMinusOne => | ||
| withResource(hasLongMin.and(stepEqualsMinusOne)) { hasLongMinAndStepMinusOne => | ||
| withResource(hasLongMinAndStepMinusOne.any()) { result => | ||
| if (result.isValid && result.getBoolean) { | ||
| // Overflow, throw an exception | ||
| throw new ArithmeticException("Unsuccessful try to create array with " + | ||
| s"elements exceeding the array size limit $MAX_ROUNDED_ARRAY_LENGTH") | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| val quotient = withResource(delta) { _ => | ||
| withResource(step.castTo(DType.INT64)) { stepAsLong => | ||
| delta.div(stepAsLong) | ||
| } | ||
| } | ||
| // delta = (stop.toLong - start.toLong) / estimatedStep.toLong | ||
| // actualSize = 1L + delta | ||
| val actualSize = withResource(Scalar.fromLong(1L)) { one => | ||
| withResource(quotient) { quotient => | ||
| closeOnExcept(quotient.add(one, DType.INT64)) { ret => | ||
| AddOverflowChecks.basicOpOverflowCheck(quotient, one, ret) | ||
| ret | ||
| } | ||
| } | ||
| } | ||
| actualSize | ||
| } | ||
| } |
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