Github user sadhen commented on a diff in the pull request: https://github.com/apache/spark/pull/22355#discussion_r215862272 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/InterpretedMutableProjection.scala --- @@ -0,0 +1,83 @@ +/* + * 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.sql.catalyst.InternalRow + + +/** + * A [[MutableProjection]] that is calculated by calling `eval` on each of the specified + * expressions. + * + * @param expressions a sequence of expressions that determine the value of each column of the + * output row. + */ +class InterpretedMutableProjection(expressions: Seq[Expression]) extends MutableProjection { + def this(expressions: Seq[Expression], inputSchema: Seq[Attribute]) = + this(expressions.map(BindReferences.bindReference(_, inputSchema))) + + private[this] val buffer = new Array[Any](expressions.size) + + override def initialize(partitionIndex: Int): Unit = { + expressions.foreach(_.foreach { + case n: Nondeterministic => n.initialize(partitionIndex) + case _ => + }) + } + + private[this] val exprArray = expressions.toArray + private[this] var mutableRow: InternalRow = new GenericInternalRow(exprArray.length) + def currentValue: InternalRow = mutableRow + + override def target(row: InternalRow): MutableProjection = { + mutableRow = row + this + } + + override def apply(input: InternalRow): InternalRow = { + var i = 0 + while (i < exprArray.length) { + // Store the result into buffer first, to make the projection atomic (needed by aggregation) + buffer(i) = exprArray(i).eval(input) + i += 1 + } + i = 0 + while (i < exprArray.length) { + mutableRow(i) = buffer(i) + i += 1 + } + mutableRow + } +} --- End diff -- The improvement (written 3 months ago) is based on the generated Java code.
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