Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/15769#discussion_r86672448 --- Diff: core/src/main/scala/org/apache/spark/internal/io/SparkNewHadoopWriter.scala --- @@ -0,0 +1,248 @@ +/* + * 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.internal.io + +import java.text.SimpleDateFormat +import java.util.{Date, Locale} + +import scala.reflect.ClassTag +import scala.util.DynamicVariable + +import org.apache.hadoop.conf.Configuration +import org.apache.hadoop.fs.Path +import org.apache.hadoop.mapred.{JobConf, JobID} +import org.apache.hadoop.mapreduce._ +import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl + +import org.apache.spark.{SparkConf, SparkContext, SparkException, TaskContext} +import org.apache.spark.deploy.SparkHadoopUtil +import org.apache.spark.executor.OutputMetrics +import org.apache.spark.internal.Logging +import org.apache.spark.rdd.RDD +import org.apache.spark.util.{SerializableConfiguration, Utils} + +/** + * A helper object that saves an RDD using a Hadoop OutputFormat + * (from the newer mapreduce API, not the old mapred API). + */ +private[spark] +object SparkNewHadoopWriter extends Logging { + + /** A shared job description for all the write tasks. */ + private class WriteJobDescription[K, V]( + val jobTrackerId: String, + val serializableHadoopConf: SerializableConfiguration, + val outputFormat: Class[_ <: OutputFormat[K, V]]) + extends Serializable { + } + + /** + * Basic work flow of this command is: + * 1. Driver side setup, including output committer initialization and data source specific + * preparation work for the write job to be issued. + * 2. Issues a write job consists of one or more executor side tasks, each of which writes all + * rows within an RDD partition. + * 3. If no exception is thrown in a task, commits that task, otherwise aborts that task; If any + * exception is thrown during task commitment, also aborts that task. + * 4. If all tasks are committed, commit the job, otherwise aborts the job; If any exception is + * thrown during job commitment, also aborts the job. + */ + def write[K, V: ClassTag]( + sparkContext: SparkContext, + rdd: RDD[(K, V)], + committer: HadoopMapReduceCommitProtocol, --- End diff -- i'd move the creation of the commit protocol here here. The reason I put it outside in SQL was because streaming and batch needed to specify different protocols, but that problem doesn't exist in core.
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