Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15861#discussion_r87689284
--- Diff:
core/src/main/scala/org/apache/spark/internal/io/SparkHadoopWriter.scala ---
@@ -0,0 +1,402 @@
+/*
+ * 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.NumberFormat
+import java.util.{Date, Locale}
+
+import scala.reflect.ClassTag
+
+import org.apache.hadoop.conf.{Configurable, Configuration}
+import org.apache.hadoop.fs.FileSystem
+import org.apache.hadoop.mapred._
+import org.apache.hadoop.mapreduce.{JobContext => NewJobContext,
OutputFormat => NewOutputFormat, RecordWriter => NewRecordWriter,
TaskAttemptContext => NewTaskAttemptContext, TaskAttemptID => NewTaskAttemptID,
TaskType}
+import org.apache.hadoop.mapreduce.task.{TaskAttemptContextImpl =>
NewTaskAttemptContextImpl}
+
+import org.apache.spark.{SerializableWritable, SparkException, TaskContext}
+import org.apache.spark.deploy.SparkHadoopUtil
+import org.apache.spark.executor.OutputMetrics
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.io.FileCommitProtocol.TaskCommitMessage
+import org.apache.spark.rdd.RDD
+import org.apache.spark.util.{SerializableConfiguration,
SerializableJobConf, Utils}
+
+/**
+ * A helper object that saves an RDD using a Hadoop OutputFormat
+ * (from the old mapred API).
+ */
+private[spark]
+object SparkHadoopWriter extends Logging {
+ import SparkHadoopWriterUtils._
+
+ /**
+ * Basic work flow of this command is:
+ * 1. Driver side setup, prepare the data source and hadoop
configuration 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](
+ rdd: RDD[(K, V)],
+ config: SparkHadoopWriterConfig[K, V]): Unit = {
+ // Extract context and configuration from RDD.
+ val sparkContext = rdd.context
+ val stageId = rdd.id
+ val sparkConf = rdd.conf
+
+ // Set up a job.
+ val jobTrackerId = createJobTrackerID(new Date())
+ val jobContext = config.createJobContext(jobTrackerId, stageId)
+ config.initOutputFormat(jobContext)
--- End diff --
We call `initOutputFormat` here, encapsulate `OutputFormat` into
`SparkHadoopWriterConfig` because the output format classes from `mapred` and
`mapreduce` package don't have common super class.
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