Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/22468#discussion_r225521786 --- 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 { + case BooleanType => true + case ByteType => true + case ShortType => true + case IntegerType => true + case LongType => true + case FloatType => true + case DoubleType => true + case _ => false + } + + private def generateSafeValueConverter(dt: DataType): Any => Any = dt match { + case ArrayType(elemType, _) => + if (isPrimitive(elemType)) { + v => { + val arrayValue = v.asInstanceOf[ArrayData] + new GenericArrayData(arrayValue.toArray[Any](elemType)) + } + } else { + val elementConverter = generateSafeValueConverter(elemType) + v => { + val arrayValue = v.asInstanceOf[ArrayData] + val result = new Array[Any](arrayValue.numElements()) + arrayValue.foreach(elemType, (i, e) => { + result(i) = elementConverter(e) + }) + new GenericArrayData(result) + } + } + + case st: StructType => + val fieldTypes = st.fields.map(_.dataType) + val fieldConverters = fieldTypes.map(generateSafeValueConverter) + v => { + val row = v.asInstanceOf[InternalRow] + val ar = new Array[Any](row.numFields) + var idx = 0 + while (idx < row.numFields) { + ar(idx) = fieldConverters(idx)(row.get(idx, fieldTypes(idx))) + idx += 1 + } + new GenericInternalRow(ar) + } + + case MapType(keyType, valueType, _) => + lazy val keyConverter = generateSafeValueConverter(keyType) + lazy val valueConverter = generateSafeValueConverter(valueType) + v => { + val mapValue = v.asInstanceOf[MapData] + val keys = mapValue.keyArray().toArray[Any](keyType) + val values = mapValue.valueArray().toArray[Any](valueType) + val convertedKeys = + if (isPrimitive(keyType)) keys else keys.map(keyConverter) + val convertedValues = + if (isPrimitive(valueType)) values else values.map(valueConverter) + + ArrayBasedMapData(convertedKeys, convertedValues) + } + + case udt: UserDefinedType[_] => + generateSafeValueConverter(udt.sqlType) + + case _ => identity + } + + private def generateRowWriter(ordinal: Int, dt: DataType): Any => Unit = dt match { --- End diff -- shall we share it with other interpreted projections?
--- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org