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

    https://github.com/apache/spark/pull/19651#discussion_r150367867
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcSerializer.scala
 ---
    @@ -0,0 +1,163 @@
    +/*
    + * 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.SpecificInternalRow
    +import org.apache.spark.sql.catalyst.util._
    +import 
org.apache.spark.sql.execution.datasources.orc.OrcUtils.getTypeDescription
    +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] val writableWrappers =
    +    dataSchema.fields.map(f => getWritableWrapper(f.dataType))
    +
    +  def serialize(row: InternalRow): OrcStruct = {
    +    convertInternalRowToOrcStruct(row, dataSchema, Some(writableWrappers), 
Some(orcStruct))
    +  }
    +
    +  /**
    +   * Return a Orc value object for the given Spark schema.
    +   */
    +  private[this] def createOrcValue(dataType: DataType) =
    +    OrcStruct.createValue(getTypeDescription(dataType))
    +
    +  /**
    +   * Convert Apache Spark InternalRow to Apache ORC OrcStruct.
    +   */
    +  private[this] def convertInternalRowToOrcStruct(
    --- End diff --
    
    The old `OrcSerializer` doesn't have such a method, and caches the 
`OrcStruct` for better performance. Can we try to follow it?


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