Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/22468#discussion_r225520812 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/InterpretedSafeProjection.scala --- @@ -0,0 +1,173 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You 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.catalyst.expressions + +import org.apache.spark.SparkException +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.expressions.aggregate.NoOp +import org.apache.spark.sql.catalyst.util.{ArrayBasedMapData, ArrayData, GenericArrayData, MapData} +import org.apache.spark.sql.types._ + + +/** + * An interpreted version of a safe projection. + * + * @param expressions that produces the resulting fields. These expressions must be bound + * to a schema. + */ +class InterpretedSafeProjection(expressions: Seq[Expression]) extends Projection { + + private[this] val mutableRow = new SpecificInternalRow(expressions.map(_.dataType)) + + private[this] val exprsWithWriters = expressions.zipWithIndex.filter { + case (NoOp, _) => false + case _ => true + }.map { case (e, i) => + val converter = generateSafeValueConverter(e.dataType) + val writer = generateRowWriter(i, e.dataType) + val f = if (!e.nullable) { + (v: Any) => writer(converter(v)) + } else { + (v: Any) => { + if (v == null) { + mutableRow.setNullAt(i) + } else { + writer(converter(v)) + } + } + } + (e, f) + } + + private def isPrimitive(dataType: DataType): Boolean = dataType match { --- End diff -- `CodeGenerator.isPrimitiveType`
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