Package org.apache.flink.hadoopcompatibility.mapred

Source Code of org.apache.flink.hadoopcompatibility.mapred.HadoopOutputFormat

/*
* 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.flink.hadoopcompatibility.mapred;

import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;

import org.apache.flink.api.common.io.OutputFormat;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.hadoopcompatibility.mapred.utils.HadoopUtils;
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopDummyProgressable;
import org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopDummyReporter;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapred.FileOutputCommitter;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.JobContext;
import org.apache.hadoop.mapred.JobID;
import org.apache.hadoop.mapred.RecordWriter;
import org.apache.hadoop.mapred.TaskAttemptContext;
import org.apache.hadoop.mapred.TaskAttemptID;
import org.apache.hadoop.util.ReflectionUtils;


public class HadoopOutputFormat<K extends Writable,V extends Writable> implements OutputFormat<Tuple2<K, V>> {
 
  private static final long serialVersionUID = 1L;
 
  private JobConf jobConf; 
  private org.apache.hadoop.mapred.OutputFormat<K,V> mapredOutputFormat; 
  private transient RecordWriter<K,V> recordWriter; 
  private transient FileOutputCommitter fileOutputCommitter;
  private transient TaskAttemptContext context;
  private transient JobContext jobContext;
 
  public HadoopOutputFormat(org.apache.hadoop.mapred.OutputFormat<K,V> mapredOutputFormat, JobConf job) {
    super();
    this.mapredOutputFormat = mapredOutputFormat;
    HadoopUtils.mergeHadoopConf(job);
    this.jobConf = job;
  }
 
  public void setJobConf(JobConf job) {
    this.jobConf = job;
  }
 
  public JobConf getJobConf() {
    return jobConf;
  }
 
  public org.apache.hadoop.mapred.OutputFormat<K,V> getHadoopOutputFormat() {
    return mapredOutputFormat;
  }
 
  public void setHadoopOutputFormat(org.apache.hadoop.mapred.OutputFormat<K,V> mapredOutputFormat) {
    this.mapredOutputFormat = mapredOutputFormat;
  }
 
  // --------------------------------------------------------------------------------------------
  //  OutputFormat
  // --------------------------------------------------------------------------------------------
 
  @Override
  public void configure(Configuration parameters) {
    // nothing to do
  }
 
  /**
   * create the temporary output file for hadoop RecordWriter.
   * @param taskNumber The number of the parallel instance.
   * @param numTasks The number of parallel tasks.
   * @throws IOException
   */
  @Override
  public void open(int taskNumber, int numTasks) throws IOException {
    if (Integer.toString(taskNumber + 1).length() > 6) {
      throw new IOException("Task id too large.");
    }
   
    TaskAttemptID taskAttemptID = TaskAttemptID.forName("attempt__0000_r_"
        + String.format("%" + (6 - Integer.toString(taskNumber + 1).length()) + "s"," ").replace(" ", "0")
        + Integer.toString(taskNumber + 1)
        + "_0");
   
    this.jobConf.set("mapred.task.id", taskAttemptID.toString());
    this.jobConf.setInt("mapred.task.partition", taskNumber + 1);
    // for hadoop 2.2
    this.jobConf.set("mapreduce.task.attempt.id", taskAttemptID.toString());
    this.jobConf.setInt("mapreduce.task.partition", taskNumber + 1);
   
    try {
      this.context = HadoopUtils.instantiateTaskAttemptContext(this.jobConf, taskAttemptID);
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
   
    this.fileOutputCommitter = new FileOutputCommitter();
   
    try {
      this.jobContext = HadoopUtils.instantiateJobContext(this.jobConf, new JobID());
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
   
    this.fileOutputCommitter.setupJob(jobContext);
   
    this.recordWriter = this.mapredOutputFormat.getRecordWriter(null, this.jobConf, Integer.toString(taskNumber + 1), new HadoopDummyProgressable());
  }
 
  @Override
  public void writeRecord(Tuple2<K, V> record) throws IOException {
    this.recordWriter.write(record.f0, record.f1);
  }
 
  /**
   * commit the task by moving the output file out from the temporary directory.
   * @throws IOException
   */
  @Override
  public void close() throws IOException {
    this.recordWriter.close(new HadoopDummyReporter());
   
    if (this.fileOutputCommitter.needsTaskCommit(this.context)) {
      this.fileOutputCommitter.commitTask(this.context);
    }
    this.fileOutputCommitter.commitJob(this.jobContext);
  }
 
  // --------------------------------------------------------------------------------------------
  //  Custom serialization methods
  // --------------------------------------------------------------------------------------------
 
  private void writeObject(ObjectOutputStream out) throws IOException {
    out.writeUTF(mapredOutputFormat.getClass().getName());
    jobConf.write(out);
  }
 
  @SuppressWarnings("unchecked")
  private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException {
    String hadoopOutputFormatName = in.readUTF();
    if(jobConf == null) {
      jobConf = new JobConf();
    }
    jobConf.readFields(in);
    try {
      this.mapredOutputFormat = (org.apache.hadoop.mapred.OutputFormat<K,V>) Class.forName(hadoopOutputFormatName, true, Thread.currentThread().getContextClassLoader()).newInstance();
    } catch (Exception e) {
      throw new RuntimeException("Unable to instantiate the hadoop output format", e);
    }
    ReflectionUtils.setConf(mapredOutputFormat, jobConf);
  }
}
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