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Original file line number Diff line number Diff line change
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/*
* 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 org.apache.hadoop.mapred._
import org.apache.hadoop.mapreduce.{TaskAttemptContext => NewTaskAttemptContext}

/**
* An [[FileCommitProtocol]] implementation backed by an underlying Hadoop OutputCommitter
* (from the old mapred API).
*
* Unlike Hadoop's OutputCommitter, this implementation is serializable.
*/
class HadoopMapRedCommitProtocol(jobId: String, path: String)
extends HadoopMapReduceCommitProtocol(jobId, path) {

override def setupCommitter(context: NewTaskAttemptContext): OutputCommitter = {
val config = context.getConfiguration.asInstanceOf[JobConf]
config.getOutputCommitter
}
}
Original file line number Diff line number Diff line change
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/*
* 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 scala.reflect.ClassTag

import org.apache.hadoop.mapreduce._

import org.apache.spark.SparkConf

/**
* Interface for create output format/committer/writer used during saving an RDD using a Hadoop
* OutputFormat (both from the old mapred API and the new mapreduce API)
*
* Notes:
* 1. Implementations should throw [[IllegalArgumentException]] when wrong hadoop API is
* referenced;
* 2. Implementations must be serializable, as the instance instantiated on the driver
* will be used for tasks on executors;
* 3. Implementations should have a constructor with exactly one argument:
* (conf: SerializableConfiguration) or (conf: SerializableJobConf).
*/
abstract class HadoopWriteConfigUtil[K, V: ClassTag] extends Serializable {

// --------------------------------------------------------------------------
// Create JobContext/TaskAttemptContext
// --------------------------------------------------------------------------

def createJobContext(jobTrackerId: String, jobId: Int): JobContext

def createTaskAttemptContext(
jobTrackerId: String,
jobId: Int,
splitId: Int,
taskAttemptId: Int): TaskAttemptContext

// --------------------------------------------------------------------------
// Create committer
// --------------------------------------------------------------------------

def createCommitter(jobId: Int): HadoopMapReduceCommitProtocol

// --------------------------------------------------------------------------
// Create writer
// --------------------------------------------------------------------------

def initWriter(taskContext: TaskAttemptContext, splitId: Int): Unit

def write(pair: (K, V)): Unit

def closeWriter(taskContext: TaskAttemptContext): Unit

// --------------------------------------------------------------------------
// Create OutputFormat
// --------------------------------------------------------------------------

def initOutputFormat(jobContext: JobContext): Unit

// --------------------------------------------------------------------------
// Verify hadoop config
// --------------------------------------------------------------------------

def assertConf(jobContext: JobContext, conf: SparkConf): Unit
}

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