Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/15769#discussion_r86613657
--- Diff: core/src/main/scala/org/apache/spark/SparkNewHadoopWriter.scala
---
@@ -0,0 +1,133 @@
+/*
+ * 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
+
+import java.util.Date
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.mapreduce._
+import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
+
+import org.apache.spark.internal.io.HadoopMapReduceCommitProtocol
+import org.apache.spark.internal.Logging
+import org.apache.spark.util.SerializableConfiguration
+
+/**
+ * Internal helper class that saves an RDD using a Hadoop OutputFormat
+ * (from the newer mapreduce API, not the old mapred API).
+ *
+ * Saves the RDD using a JobConf, which should contain an output key
class, an output value class,
+ * a filename to write to, etc, exactly like in a Hadoop MapReduce job.
+ *
+ * Use a [[HadoopMapReduceCommitProtocol]] to handle output commit, which,
unlike Hadoop's
+ * OutputCommitter, is serializable.
+ */
+private[spark]
+class SparkNewHadoopWriter(
--- End diff --
move this into internal/io
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