Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/993#discussion_r15332107
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GenerateProjection.scala
---
@@ -0,0 +1,218 @@
+/*
+ * 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.codegen
+
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.types._
+
+
+/**
+ * Generates bytecode that produces a new [[Row]] object based on a fixed
set of input
+ * [[Expression Expressions]] and a given input [[Row]]. The returned
[[Row]] object is custom
+ * generated based on the output types of the [[Expression]] to avoid
boxing of primitive values.
+ */
+object GenerateProjection extends CodeGenerator[Seq[Expression],
Projection] {
+ import scala.reflect.runtime.{universe => ru}
+ import scala.reflect.runtime.universe._
+
+ protected def canonicalize(in: Seq[Expression]): Seq[Expression] =
+ in.map(ExpressionCanonicalizer(_))
+
+ protected def bind(in: Seq[Expression], inputSchema: Seq[Attribute]):
Seq[Expression] =
+ in.map(BindReferences.bindReference(_, inputSchema))
+
+ // Make Mutablility optional...
+ protected def create(expressions: Seq[Expression]): Projection = {
+ val tupleLength = ru.Literal(Constant(expressions.length))
+ val lengthDef = q"final val length = $tupleLength"
+
+ /* TODO: Configurable...
+ val nullFunctions =
+ q"""
+ private final val nullSet = new
org.apache.spark.util.collection.BitSet(length)
+ final def setNullAt(i: Int) = nullSet.set(i)
+ final def isNullAt(i: Int) = nullSet.get(i)
+ """
+ */
+
+ val nullFunctions =
+ q"""
+ private[this] var nullBits = new
Array[Boolean](${expressions.size})
+ final def setNullAt(i: Int) = { nullBits(i) = true }
+ final def isNullAt(i: Int) = nullBits(i)
+ """.children
+
+ val tupleElements = expressions.zipWithIndex.flatMap {
+ case (e, i) =>
+ val elementName = newTermName(s"c$i")
+ val evaluatedExpression = expressionEvaluator(e)
--- End diff --
where is expressionEvaluator defined?
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