Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19651#discussion_r150430312
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcSerializer.scala
 ---
    @@ -0,0 +1,205 @@
    +/*
    + * 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.execution.datasources.orc
    +
    +import org.apache.hadoop.io._
    +import org.apache.orc.mapred.{OrcList, OrcMap, OrcStruct, OrcTimestamp}
    +import org.apache.orc.storage.common.`type`.HiveDecimal
    +import org.apache.orc.storage.serde2.io.{DateWritable, HiveDecimalWritable}
    +
    +import org.apache.spark.sql.catalyst.InternalRow
    +import org.apache.spark.sql.catalyst.expressions.{SpecializedGetters, 
SpecificInternalRow}
    +import org.apache.spark.sql.catalyst.util._
    +import 
org.apache.spark.sql.execution.datasources.orc.OrcUtils.{getTypeDescription, 
withNullSafe}
    +import org.apache.spark.sql.types._
    +import org.apache.spark.unsafe.types.UTF8String
    +
    +private[orc] class OrcSerializer(dataSchema: StructType) {
    +
    +  private[this] lazy val orcStruct: OrcStruct = 
createOrcValue(dataSchema).asInstanceOf[OrcStruct]
    +
    +  private[this] lazy val length = dataSchema.length
    +
    +  private[this] val writers = 
dataSchema.map(_.dataType).map(makeWriter).toArray
    +
    +  def serialize(row: InternalRow): OrcStruct = {
    +    var i = 0
    +    while (i < length) {
    +      if (row.isNullAt(i)) {
    +        orcStruct.setFieldValue(i, null)
    +      } else {
    +        writers(i)(row, i)
    +      }
    +      i += 1
    +    }
    +    orcStruct
    +  }
    +
    +  private[this] def makeWriter(dataType: DataType): (SpecializedGetters, 
Int) => Unit = {
    +    dataType match {
    +      case BooleanType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
BooleanWritable(row.getBoolean(ordinal)))
    +
    +      case ByteType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
ByteWritable(row.getByte(ordinal)))
    +
    +      case ShortType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
ShortWritable(row.getShort(ordinal)))
    +
    +      case IntegerType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
IntWritable(row.getInt(ordinal)))
    +
    +      case LongType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
LongWritable(row.getLong(ordinal)))
    +
    +      case FloatType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
FloatWritable(row.getFloat(ordinal)))
    +
    +      case DoubleType =>
    +        (row: SpecializedGetters, ordinal: Int) =>
    +          orcStruct.setFieldValue(ordinal, new 
DoubleWritable(row.getDouble(ordinal)))
    +
    +      case _ =>
    +        val wrapper = getWritableWrapper(dataType)
    --- End diff --
    
    Please see the previous @cloud-fan 's comment. This function is added to 
avoid boxing issue.


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