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Add in support for struct and named_struct (NVIDIA#1458)
Signed-off-by: Robert (Bobby) Evans <[email protected]>
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sql-plugin/src/main/scala/org/apache/spark/sql/rapids/complexTypeCreator.scala
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| /* | ||
| * Copyright (c) 2021, 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. | ||
| */ | ||
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| package org.apache.spark.sql.rapids | ||
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| import ai.rapids.cudf.ColumnVector | ||
| import com.nvidia.spark.rapids.{GpuColumnVector, GpuExpression, GpuScalar} | ||
| import com.nvidia.spark.rapids.RapidsPluginImplicits.{AutoCloseableArray, ReallyAGpuExpression} | ||
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| import org.apache.spark.sql.catalyst.analysis.FunctionRegistry.FUNC_ALIAS | ||
| import org.apache.spark.sql.catalyst.analysis.TypeCheckResult | ||
| import org.apache.spark.sql.catalyst.expressions.{EmptyRow, Expression, NamedExpression} | ||
| import org.apache.spark.sql.types.{Metadata, StringType, StructField, StructType} | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch | ||
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| case class GpuCreateNamedStruct(children: Seq[Expression]) extends GpuExpression { | ||
| lazy val (nameExprs, valExprs) = children.grouped(2).map { | ||
| case Seq(name, value) => (name, value) | ||
| }.toList.unzip | ||
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| private lazy val names = nameExprs.map { | ||
| case g: GpuExpression => g.columnarEval(null) | ||
| case e => e.eval(EmptyRow) | ||
| } | ||
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| override def nullable: Boolean = false | ||
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| override def foldable: Boolean = valExprs.forall(_.foldable) | ||
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| override lazy val dataType: StructType = { | ||
| val fields = names.zip(valExprs).map { | ||
| case (name, expr) => | ||
| val metadata = expr match { | ||
| case ne: NamedExpression => ne.metadata | ||
| case _ => Metadata.empty | ||
| } | ||
| StructField(name.toString, expr.dataType, expr.nullable, metadata) | ||
| } | ||
| StructType(fields) | ||
| } | ||
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| override def checkInputDataTypes(): TypeCheckResult = { | ||
| if (children.size % 2 != 0) { | ||
| TypeCheckResult.TypeCheckFailure(s"$prettyName expects an even number of arguments.") | ||
| } else { | ||
| val invalidNames = nameExprs.filterNot(e => e.foldable && e.dataType == StringType) | ||
| if (invalidNames.nonEmpty) { | ||
| TypeCheckResult.TypeCheckFailure( | ||
| s"Only foldable ${StringType.catalogString} expressions are allowed to appear at odd" + | ||
| s" position, got: ${invalidNames.mkString(",")}") | ||
| } else if (!names.contains(null)) { | ||
| TypeCheckResult.TypeCheckSuccess | ||
| } else { | ||
| TypeCheckResult.TypeCheckFailure("Field name should not be null") | ||
| } | ||
| } | ||
| } | ||
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| // There is an alias set at `CreateStruct.create`. If there is an alias, | ||
| // this is the struct function explicitly called by a user and we should | ||
| // respect it in the SQL string as `struct(...)`. | ||
| override def prettyName: String = getTagValue(FUNC_ALIAS).getOrElse("named_struct") | ||
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| override def sql: String = getTagValue(FUNC_ALIAS).map { alias => | ||
| val childrenSQL = children.indices.filter(_ % 2 == 1).map(children(_).sql).mkString(", ") | ||
| s"$alias($childrenSQL)" | ||
| }.getOrElse(super.sql) | ||
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| override def columnarEval(batch: ColumnarBatch): Any = { | ||
| // The names are only used for the type. Here we really just care about the data | ||
| withResource(new Array[ColumnVector](valExprs.size)) { columns => | ||
| val numRows = batch.numRows() | ||
| valExprs.indices.foreach { index => | ||
| valExprs(index).columnarEval(batch) match { | ||
| case cv: GpuColumnVector => | ||
| columns(index) = cv.getBase | ||
| case other => | ||
| val dt = dataType.fields(index).dataType | ||
| withResource(GpuScalar.from(other, dt)) { scalar => | ||
| columns(index) = ColumnVector.fromScalar(scalar, numRows) | ||
| } | ||
| } | ||
| } | ||
| GpuColumnVector.from(ColumnVector.makeStruct(numRows, columns: _*), dataType) | ||
| } | ||
| } | ||
| } |