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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.hadoop.mapred;

import java.io.IOException;
import java.text.NumberFormat;

import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.mapred.FileAlreadyExistsException;
import org.apache.hadoop.mapreduce.security.TokenCache;
import org.apache.hadoop.util.Progressable;

/** A base class for {@link OutputFormat}. */
@InterfaceAudience.Public
@InterfaceStability.Stable
public abstract class FileOutputFormat implements OutputFormat {

  /**
   * Set whether the output of the job is compressed.
   * @param conf the {@link JobConf} to modify
   * @param compress should the output of the job be compressed?
   */
  public static void setCompressOutput(JobConf conf, boolean compress) {
    conf.setBoolean(org.apache.hadoop.mapreduce.lib.output.
      FileOutputFormat.COMPRESS, compress);
  }
  
  /**
   * Is the job output compressed?
   * @param conf the {@link JobConf} to look in
   * @return true if the job output should be compressed,
   *         false otherwise
   */
  public static boolean getCompressOutput(JobConf conf) {
    return conf.getBoolean(org.apache.hadoop.mapreduce.lib.output.
      FileOutputFormat.COMPRESS, false);
  }
  
  /**
   * Set the {@link CompressionCodec} to be used to compress job outputs.
   * @param conf the {@link JobConf} to modify
   * @param codecClass the {@link CompressionCodec} to be used to
   *                   compress the job outputs
   */
  public static void 
  setOutputCompressorClass(JobConf conf, 
                           Class codecClass) {
    setCompressOutput(conf, true);
    conf.setClass(org.apache.hadoop.mapreduce.lib.output.
      FileOutputFormat.COMPRESS_CODEC, codecClass, 
                  CompressionCodec.class);
  }
  
  /**
   * Get the {@link CompressionCodec} for compressing the job outputs.
   * @param conf the {@link JobConf} to look in
   * @param defaultValue the {@link CompressionCodec} to return if not set
   * @return the {@link CompressionCodec} to be used to compress the 
   *         job outputs
   * @throws IllegalArgumentException if the class was specified, but not found
   */
  public static Class 
  getOutputCompressorClass(JobConf conf, 
		                       Class defaultValue) {
    Class codecClass = defaultValue;
    
    String name = conf.get(org.apache.hadoop.mapreduce.lib.output.
      FileOutputFormat.COMPRESS_CODEC);
    if (name != null) {
      try {
        codecClass = 
        	conf.getClassByName(name).asSubclass(CompressionCodec.class);
      } catch (ClassNotFoundException e) {
        throw new IllegalArgumentException("Compression codec " + name + 
                                           " was not found.", e);
      }
    }
    return codecClass;
  }
  
  public abstract RecordWriter getRecordWriter(FileSystem ignored,
                                               JobConf job, String name,
                                               Progressable progress)
    throws IOException;

  public void checkOutputSpecs(FileSystem ignored, JobConf job) 
    throws FileAlreadyExistsException, 
           InvalidJobConfException, IOException {
    // Ensure that the output directory is set and not already there
    Path outDir = getOutputPath(job);
    if (outDir == null && job.getNumReduceTasks() != 0) {
      throw new InvalidJobConfException("Output directory not set in JobConf.");
    }
    if (outDir != null) {
      FileSystem fs = outDir.getFileSystem(job);
      // normalize the output directory
      outDir = fs.makeQualified(outDir);
      setOutputPath(job, outDir);
      
      // get delegation token for the outDir's file system
      TokenCache.obtainTokensForNamenodes(job.getCredentials(), 
                                          new Path[] {outDir}, job);
      
      // check its existence
      if (fs.exists(outDir)) {
        throw new FileAlreadyExistsException("Output directory " + outDir + 
                                             " already exists");
      }
    }
  }

  /**
   * Set the {@link Path} of the output directory for the map-reduce job.
   *
   * @param conf The configuration of the job.
   * @param outputDir the {@link Path} of the output directory for 
   * the map-reduce job.
   */
  public static void setOutputPath(JobConf conf, Path outputDir) {
    outputDir = new Path(conf.getWorkingDirectory(), outputDir);
    conf.set(org.apache.hadoop.mapreduce.lib.output.
      FileOutputFormat.OUTDIR, outputDir.toString());
  }

  /**
   * Set the {@link Path} of the task's temporary output directory 
   * for the map-reduce job.
   * 
   * 

Note: Task output path is set by the framework. *

* @param conf The configuration of the job. * @param outputDir the {@link Path} of the output directory * for the map-reduce job. */ static void setWorkOutputPath(JobConf conf, Path outputDir) { outputDir = new Path(conf.getWorkingDirectory(), outputDir); conf.set(JobContext.TASK_OUTPUT_DIR, outputDir.toString()); } /** * Get the {@link Path} to the output directory for the map-reduce job. * * @return the {@link Path} to the output directory for the map-reduce job. * @see FileOutputFormat#getWorkOutputPath(JobConf) */ public static Path getOutputPath(JobConf conf) { String name = conf.get(org.apache.hadoop.mapreduce.lib.output. FileOutputFormat.OUTDIR); return name == null ? null: new Path(name); } /** * Get the {@link Path} to the task's temporary output directory * for the map-reduce job * *

Tasks' Side-Effect Files

* *

Note: The following is valid only if the {@link OutputCommitter} * is {@link FileOutputCommitter}. If OutputCommitter is not * a FileOutputCommitter, the task's temporary output * directory is same as {@link #getOutputPath(JobConf)} i.e. * ${mapreduce.output.fileoutputformat.outputdir}$

* *

Some applications need to create/write-to side-files, which differ from * the actual job-outputs. * *

In such cases there could be issues with 2 instances of the same TIP * (running simultaneously e.g. speculative tasks) trying to open/write-to the * same file (path) on HDFS. Hence the application-writer will have to pick * unique names per task-attempt (e.g. using the attemptid, say * attempt_200709221812_0001_m_000000_0), not just per TIP.

* *

To get around this the Map-Reduce framework helps the application-writer * out by maintaining a special * ${mapreduce.output.fileoutputformat.outputdir}/_temporary/_${taskid} * sub-directory for each task-attempt on HDFS where the output of the * task-attempt goes. On successful completion of the task-attempt the files * in the ${mapreduce.output.fileoutputformat.outputdir}/_temporary/_${taskid} (only) * are promoted to ${mapreduce.output.fileoutputformat.outputdir}. Of course, the * framework discards the sub-directory of unsuccessful task-attempts. This * is completely transparent to the application.

* *

The application-writer can take advantage of this by creating any * side-files required in ${mapreduce.task.output.dir} during execution * of his reduce-task i.e. via {@link #getWorkOutputPath(JobConf)}, and the * framework will move them out similarly - thus she doesn't have to pick * unique paths per task-attempt.

* *

Note: the value of ${mapreduce.task.output.dir} during * execution of a particular task-attempt is actually * ${mapreduce.output.fileoutputformat.outputdir}/_temporary/_{$taskid}, and this value is * set by the map-reduce framework. So, just create any side-files in the * path returned by {@link #getWorkOutputPath(JobConf)} from map/reduce * task to take advantage of this feature.

* *

The entire discussion holds true for maps of jobs with * reducer=NONE (i.e. 0 reduces) since output of the map, in that case, * goes directly to HDFS.

* * @return the {@link Path} to the task's temporary output directory * for the map-reduce job. */ public static Path getWorkOutputPath(JobConf conf) { String name = conf.get(JobContext.TASK_OUTPUT_DIR); return name == null ? null: new Path(name); } /** * Helper function to create the task's temporary output directory and * return the path to the task's output file. * * @param conf job-configuration * @param name temporary task-output filename * @return path to the task's temporary output file * @throws IOException */ public static Path getTaskOutputPath(JobConf conf, String name) throws IOException { // ${mapred.out.dir} Path outputPath = getOutputPath(conf); if (outputPath == null) { throw new IOException("Undefined job output-path"); } OutputCommitter committer = conf.getOutputCommitter(); Path workPath = outputPath; TaskAttemptContext context = new TaskAttemptContextImpl(conf, TaskAttemptID.forName(conf.get( JobContext.TASK_ATTEMPT_ID))); if (committer instanceof FileOutputCommitter) { workPath = ((FileOutputCommitter)committer).getWorkPath(context, outputPath); } // ${mapred.out.dir}/_temporary/_${taskid}/${name} return new Path(workPath, name); } /** * Helper function to generate a name that is unique for the task. * *

The generated name can be used to create custom files from within the * different tasks for the job, the names for different tasks will not collide * with each other.

* *

The given name is postfixed with the task type, 'm' for maps, 'r' for * reduces and the task partition number. For example, give a name 'test' * running on the first map o the job the generated name will be * 'test-m-00000'.

* * @param conf the configuration for the job. * @param name the name to make unique. * @return a unique name accross all tasks of the job. */ public static String getUniqueName(JobConf conf, String name) { int partition = conf.getInt(JobContext.TASK_PARTITION, -1); if (partition == -1) { throw new IllegalArgumentException( "This method can only be called from within a Job"); } String taskType = (conf.getBoolean(JobContext.TASK_ISMAP, true)) ? "m" : "r"; NumberFormat numberFormat = NumberFormat.getInstance(); numberFormat.setMinimumIntegerDigits(5); numberFormat.setGroupingUsed(false); return name + "-" + taskType + "-" + numberFormat.format(partition); } /** * Helper function to generate a {@link Path} for a file that is unique for * the task within the job output directory. * *

The path can be used to create custom files from within the map and * reduce tasks. The path name will be unique for each task. The path parent * will be the job output directory.

ls * *

This method uses the {@link #getUniqueName} method to make the file name * unique for the task.

* * @param conf the configuration for the job. * @param name the name for the file. * @return a unique path accross all tasks of the job. */ public static Path getPathForCustomFile(JobConf conf, String name) { return new Path(getWorkOutputPath(conf), getUniqueName(conf, name)); } }




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