Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/9145#discussion_r42584730
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/columnar/GenerateColumnAccessor.scala
 ---
    @@ -0,0 +1,149 @@
    +/*
    + * 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.columnar
    +
    +import org.apache.spark.Logging
    +import org.apache.spark.sql.catalyst.InternalRow
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.catalyst.expressions.codegen.{CodeFormatter, 
CodeGenerator}
    +import org.apache.spark.sql.types._
    +
    +/**
    + * An Iterator to walk throught the InternalRows from a CachedBatch
    + */
    +abstract class ColumnarIterator extends Iterator[InternalRow] {
    +  def initialize(input: Iterator[CachedBatch], mutableRow: MutableRow, 
columnTypes: Array[DataType],
    +    columnIndexes: Array[Int]): Unit
    +}
    +
    +/**
    + * Generates bytecode for an [[ColumnarIterator]] for columnar cache.
    + */
    +object GenerateColumnAccessor extends CodeGenerator[Seq[DataType], 
ColumnarIterator] with Logging {
    +
    +  protected def canonicalize(in: Seq[DataType]): Seq[DataType] = in
    +  protected def bind(in: Seq[DataType], inputSchema: Seq[Attribute]): 
Seq[DataType] = in
    +
    +  protected def create(columnTypes: Seq[DataType]): ColumnarIterator = {
    +    val ctx = newCodeGenContext()
    +    val (initializeAccessors, extractors) = columnTypes.zipWithIndex.map { 
case (dt, index) =>
    +      val accessorName = ctx.freshName("accessor")
    +      val accessorCls = dt match {
    +        case NullType => classOf[NullColumnAccessor].getName
    +        case BooleanType => classOf[BooleanColumnAccessor].getName
    +        case ByteType => classOf[ByteColumnAccessor].getName
    +        case ShortType => classOf[ShortColumnAccessor].getName
    +        case IntegerType | DateType => classOf[IntColumnAccessor].getName
    +        case LongType | TimestampType => 
classOf[LongColumnAccessor].getName
    +        case FloatType => classOf[FloatColumnAccessor].getName
    +        case DoubleType => classOf[DoubleColumnAccessor].getName
    +        case StringType => classOf[StringColumnAccessor].getName
    +        case BinaryType => classOf[BinaryColumnAccessor].getName
    +        case dt: DecimalType if dt.precision <= Decimal.MAX_LONG_DIGITS =>
    +          classOf[CompactDecimalColumnAccessor].getName
    +        case dt: DecimalType => classOf[DecimalColumnAccessor].getName
    +        case struct: StructType => classOf[StructColumnAccessor].getName
    +        case array: ArrayType => classOf[ArrayColumnAccessor].getName
    +        case t: MapType => classOf[MapColumnAccessor].getName
    +      }
    +      ctx.addMutableState(accessorCls, accessorName, s"$accessorName = 
null;")
    +
    +      val createCode = dt match {
    +        case t if ctx.isPrimitiveType(dt) =>
    +          s"$accessorName = new 
$accessorCls(ByteBuffer.wrap(buffers[$index]).order(nativeOrder));"
    +        case NullType | StringType | BinaryType =>
    +          s"$accessorName = new 
$accessorCls(ByteBuffer.wrap(buffers[$index]).order(nativeOrder));"
    +        case other =>
    +          s"""$accessorName = new 
$accessorCls(ByteBuffer.wrap(buffers[$index]).order(nativeOrder),
    +             (${dt.getClass.getName}) columnTypes[$index]);"""
    +      }
    +
    +      val extract = s"$accessorName.extractTo(mutableRow, $index);"
    +
    +      (createCode, extract)
    +    }.unzip
    +
    +    val code = s"""
    +      import java.nio.ByteBuffer;
    +      import java.nio.ByteOrder;
    +
    +      public SpecificColumnarIterator generate($exprType[] expr) {
    +        return new SpecificColumnarIterator();
    +      }
    +
    +      class SpecificColumnarIterator extends 
${classOf[ColumnarIterator].getName} {
    +
    +        private ByteOrder nativeOrder = null;
    +        private byte[][] buffers = null;
    +
    +        private int currentRow = 0;
    +        private int numRowsInBatch = 0;
    +
    +        private scala.collection.Iterator input = null;
    +        private MutableRow mutableRow = null;
    +        private ${classOf[DataType].getName}[] columnTypes = null;
    +        private int[] columnIndexes = null;
    +
    +        ${declareMutableStates(ctx)}
    +
    +        public SpecificColumnarIterator() {
    +          this.nativeOrder = ByteOrder.nativeOrder();
    +          this.buffers = new byte[${columnTypes.length}][];
    +
    +          ${initMutableStates(ctx)}
    +        }
    +
    +        public void initialize(scala.collection.Iterator input, MutableRow 
mutableRow,
    +                               ${classOf[DataType].getName}[] columnTypes, 
int[] columnIndexes) {
    --- End diff --
    
    wrong indent here


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