Java FileOutputFormat類代碼示例

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
/**
 * Run the test
 * 
 * @throws IOException on error
 */
public static void runTests() throws IOException {
  config.setLong("io.bytes.per.checksum", bytesPerChecksum);
  
  JobConf job = new JobConf(config, NNBench.class);

  job.setJobName("NNBench-" + operation);
  FileInputFormat.setInputPaths(job, new Path(baseDir, CONTROL_DIR_NAME));
  job.setInputFormat(SequenceFileInputFormat.class);
  
  // Explicitly set number of max map attempts to 1.
  job.setMaxMapAttempts(1);
  
  // Explicitly turn off speculative execution
  job.setSpeculativeExecution(false);

  job.setMapperClass(NNBenchMapper.class);
  job.setReducerClass(NNBenchReducer.class);

  FileOutputFormat.setOutputPath(job, new Path(baseDir, OUTPUT_DIR_NAME));
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(Text.class);
  job.setNumReduceTasks((int) numberOfReduces);
  JobClient.runJob(job);
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
private void runIOTest(
        Class<? extends Mapper<Text, LongWritable, Text, Text>> mapperClass, 
        Path outputDir) throws IOException {
  JobConf job = new JobConf(config, TestDFSIO.class);

  FileInputFormat.setInputPaths(job, getControlDir(config));
  job.setInputFormat(SequenceFileInputFormat.class);

  job.setMapperClass(mapperClass);
  job.setReducerClass(AccumulatingReducer.class);

  FileOutputFormat.setOutputPath(job, outputDir);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(Text.class);
  job.setNumReduceTasks(1);
  JobClient.runJob(job);
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
/**
 * Sets up a job conf for the given job using the given config object. Ensures
 * that the correct input format is set, the mapper and and reducer class and
 * the input and output keys and value classes along with any other job
 * configuration.
 * 
 * @param config
 * @return JobConf representing the job to be ran
 * @throws IOException
 */
private JobConf getJob(ConfigExtractor config) throws IOException {
  JobConf job = new JobConf(config.getConfig(), SliveTest.class);
  job.setInputFormat(DummyInputFormat.class);
  FileOutputFormat.setOutputPath(job, config.getOutputPath());
  job.setMapperClass(SliveMapper.class);
  job.setPartitionerClass(SlivePartitioner.class);
  job.setReducerClass(SliveReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(Text.class);
  job.setOutputFormat(TextOutputFormat.class);
  TextOutputFormat.setCompressOutput(job, false);
  job.setNumReduceTasks(config.getReducerAmount());
  job.setNumMapTasks(config.getMapAmount());
  return job;
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
@Override
public void close() throws IOException {
  // Output the result to a file Results in the output dir
  FileContext fc;
  try {
    fc = FileContext.getFileContext(jobConf);
  } catch (IOException ioe) {
    System.err.println("Can not initialize the file system: " + 
        ioe.getLocalizedMessage());
    return;
  }
  FSDataOutputStream o = fc.create(FileOutputFormat.getTaskOutputPath(jobConf, "Results"),
      EnumSet.of(CreateFlag.CREATE));
     
  PrintStream out = new PrintStream(o);
  printResults(out);
  out.close();
  o.close();
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
private static void joinAs(String jointype,
    Class<? extends SimpleCheckerBase> c) throws Exception {
  final int srcs = 4;
  Configuration conf = new Configuration();
  JobConf job = new JobConf(conf, c);
  Path base = cluster.getFileSystem().makeQualified(new Path("/"+jointype));
  Path[] src = writeSimpleSrc(base, conf, srcs);
  job.set("mapreduce.join.expr", CompositeInputFormat.compose(jointype,
      SequenceFileInputFormat.class, src));
  job.setInt("testdatamerge.sources", srcs);
  job.setInputFormat(CompositeInputFormat.class);
  FileOutputFormat.setOutputPath(job, new Path(base, "out"));

  job.setMapperClass(c);
  job.setReducerClass(c);
  job.setOutputKeyClass(IntWritable.class);
  job.setOutputValueClass(IntWritable.class);
  JobClient.runJob(job);
  base.getFileSystem(job).delete(base, true);
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
public void testEmptyJoin() throws Exception {
  JobConf job = new JobConf();
  Path base = cluster.getFileSystem().makeQualified(new Path("/empty"));
  Path[] src = { new Path(base,"i0"), new Path("i1"), new Path("i2") };
  job.set("mapreduce.join.expr", CompositeInputFormat.compose("outer",
      Fake_IF.class, src));
  job.setInputFormat(CompositeInputFormat.class);
  FileOutputFormat.setOutputPath(job, new Path(base, "out"));

  job.setMapperClass(IdentityMapper.class);
  job.setReducerClass(IdentityReducer.class);
  job.setOutputKeyClass(IncomparableKey.class);
  job.setOutputValueClass(NullWritable.class);

  JobClient.runJob(job);
  base.getFileSystem(job).delete(base, true);
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
public void configure(String keySpec, int expect) throws Exception {
  Path testdir = new Path(TEST_DIR.getAbsolutePath());
  Path inDir = new Path(testdir, "in");
  Path outDir = new Path(testdir, "out");
  FileSystem fs = getFileSystem();
  fs.delete(testdir, true);
  conf.setInputFormat(TextInputFormat.class);
  FileInputFormat.setInputPaths(conf, inDir);
  FileOutputFormat.setOutputPath(conf, outDir);
  conf.setOutputKeyClass(Text.class);
  conf.setOutputValueClass(LongWritable.class);

  conf.setNumMapTasks(1);
  conf.setNumReduceTasks(1);

  conf.setOutputFormat(TextOutputFormat.class);
  conf.setOutputKeyComparatorClass(KeyFieldBasedComparator.class);
  conf.setKeyFieldComparatorOptions(keySpec);
  conf.setKeyFieldPartitionerOptions("-k1.1,1.1");
  conf.set(JobContext.MAP_OUTPUT_KEY_FIELD_SEPERATOR, " ");
  conf.setMapperClass(InverseMapper.class);
  conf.setReducerClass(IdentityReducer.class);
  if (!fs.mkdirs(testdir)) {
    throw new IOException("Mkdirs failed to create " + testdir.toString());
  }
  if (!fs.mkdirs(inDir)) {
    throw new IOException("Mkdirs failed to create " + inDir.toString());
  }
  // set up input data in 2 files 
  Path inFile = new Path(inDir, "part0");
  FileOutputStream fos = new FileOutputStream(inFile.toString());
  fos.write((line1 + "\n").getBytes());
  fos.write((line2 + "\n").getBytes());
  fos.close();
  JobClient jc = new JobClient(conf);
  RunningJob r_job = jc.submitJob(conf);
  while (!r_job.isComplete()) {
    Thread.sleep(1000);
  }
  
  if (!r_job.isSuccessful()) {
    fail("Oops! The job broke due to an unexpected error");
  }
  Path[] outputFiles = FileUtil.stat2Paths(
      getFileSystem().listStatus(outDir,
      new Utils.OutputFileUtils.OutputFilesFilter()));
  if (outputFiles.length > 0) {
    InputStream is = getFileSystem().open(outputFiles[0]);
    BufferedReader reader = new BufferedReader(new InputStreamReader(is));
    String line = reader.readLine();
    //make sure we get what we expect as the first line, and also
    //that we have two lines
    if (expect == 1) {
      assertTrue(line.startsWith(line1));
    } else if (expect == 2) {
      assertTrue(line.startsWith(line2));
    }
    line = reader.readLine();
    if (expect == 1) {
      assertTrue(line.startsWith(line2));
    } else if (expect == 2) {
      assertTrue(line.startsWith(line1));
    }
    reader.close();
  }
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
/**
 * Creates a simple copy job.
 * 
 * @param indirs List of input directories.
 * @param outdir Output directory.
 * @return JobConf initialised for a simple copy job.
 * @throws Exception If an error occurs creating job configuration.
 */
static JobConf createCopyJob(List<Path> indirs, Path outdir) throws Exception {

  Configuration defaults = new Configuration();
  JobConf theJob = new JobConf(defaults, TestJobControl.class);
  theJob.setJobName("DataMoveJob");

  FileInputFormat.setInputPaths(theJob, indirs.toArray(new Path[0]));
  theJob.setMapperClass(DataCopy.class);
  FileOutputFormat.setOutputPath(theJob, outdir);
  theJob.setOutputKeyClass(Text.class);
  theJob.setOutputValueClass(Text.class);
  theJob.setReducerClass(DataCopy.class);
  theJob.setNumMapTasks(12);
  theJob.setNumReduceTasks(4);
  return theJob;
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
public void configure(JobConf conf) {
  this.conf = conf;
  tmpOutputDir = FileOutputFormat.getWorkOutputPath(this.conf);
  masterIndex = new Path(tmpOutputDir, "_masterindex");
  index = new Path(tmpOutputDir, "_index");
  try {
    fs = masterIndex.getFileSystem(conf);
    if (fs.exists(masterIndex)) {
      fs.delete(masterIndex, false);
    }
    if (fs.exists(index)) {
      fs.delete(index, false);
    }
    indexStream = fs.create(index);
    outStream = fs.create(masterIndex);
    String version = VERSION + " \n";
    outStream.write(version.getBytes(Charsets.UTF_8));
    
  } catch(IOException e) {
    throw new RuntimeException(e);
  }
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
/**
 * @param args
 * @return the JobConf
 * @throws IOException
 */
public JobConf createSubmittableJob(String[] args) throws IOException {
  JobConf c = new JobConf(getConf(), getClass());
  c.setJobName(NAME);
  // Columns are space delimited
  StringBuilder sb = new StringBuilder();
  final int columnoffset = 2;
  for (int i = columnoffset; i < args.length; i++) {
    if (i > columnoffset) {
      sb.append(" ");
    }
    sb.append(args[i]);
  }
  // Second argument is the table name.
  TableMapReduceUtil.initTableMapJob(args[1], sb.toString(),
    RowCounterMapper.class, ImmutableBytesWritable.class, Result.class, c);
  c.setNumReduceTasks(0);
  // First arg is the output directory.
  FileOutputFormat.setOutputPath(c, new Path(args[0]));
  return c;
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
@Override
protected void runJob(String jobName, Configuration c, List<Scan> scans)
    throws IOException, InterruptedException, ClassNotFoundException {
  JobConf job = new JobConf(TEST_UTIL.getConfiguration());

  job.setJobName(jobName);
  job.setMapperClass(Mapper.class);
  job.setReducerClass(Reducer.class);

  TableMapReduceUtil.initMultiTableSnapshotMapperJob(getSnapshotScanMapping(scans), Mapper.class,
      ImmutableBytesWritable.class, ImmutableBytesWritable.class, job, true, restoreDir);

  TableMapReduceUtil.addDependencyJars(job);

  job.setReducerClass(Reducer.class);
  job.setNumReduceTasks(1); // one to get final "first" and "last" key
  FileOutputFormat.setOutputPath(job, new Path(job.getJobName()));
  LOG.info("Started " + job.getJobName());

  RunningJob runningJob = JobClient.runJob(job);
  runningJob.waitForCompletion();
  assertTrue(runningJob.isSuccessful());
  LOG.info("After map/reduce completion - job " + jobName);
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
private static JobConf getOldAPIJobconf(Configuration configuration, String name,
                                        String input, String output)
    throws Exception {
  final JobConf jobConf = new JobConf(configuration);
  final FileSystem fs = FileSystem.get(configuration);
  if (fs.exists(new Path(output))) {
    fs.delete(new Path(output), true);
  }
  fs.close();
  jobConf.setJobName(name);
  jobConf.setOutputKeyClass(Text.class);
  jobConf.setOutputValueClass(IntWritable.class);
  jobConf.setMapperClass(WordCountWithOldAPI.TokenizerMapperWithOldAPI.class);
  jobConf.setCombinerClass(WordCountWithOldAPI.IntSumReducerWithOldAPI.class);
  jobConf.setReducerClass(WordCountWithOldAPI.IntSumReducerWithOldAPI.class);

  jobConf.setInputFormat(SequenceFileInputFormat.class);
  jobConf.setOutputFormat(TextOutputFormat.class);

  FileInputFormat.setInputPaths(jobConf, new Path(input));
  FileOutputFormat.setOutputPath(jobConf, new Path(output));
  return jobConf;
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
public void configure(JobConf conf) {
  this.conf = conf;
  tmpOutputDir = FileOutputFormat.getWorkOutputPath(this.conf);
  masterIndex = new Path(tmpOutputDir, "_masterindex");
  index = new Path(tmpOutputDir, "_index");
  replication = conf.getInt(HAR_REPLICATION_LABEL, 3);
  try {
    fs = masterIndex.getFileSystem(conf);
    if (fs.exists(masterIndex)) {
      fs.delete(masterIndex, false);
    }
    if (fs.exists(index)) {
      fs.delete(index, false);
    }
    indexStream = fs.create(index);
    outStream = fs.create(masterIndex);
    String version = VERSION + " \n";
    outStream.write(version.getBytes(Charsets.UTF_8));
    
  } catch(IOException e) {
    throw new RuntimeException(e);
  }
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
@Override
public RecordWriter<NullWritable, DynamoDBItemWritable> getRecordWriter(FileSystem ignored,
    JobConf job, String name, Progressable progress) throws IOException {
  boolean isCompressed = getCompressOutput(job);
  CompressionCodec codec = null;
  String extension = "";
  DataOutputStream fileOut;

  if (isCompressed) {
    Class<? extends CompressionCodec> codecClass = getOutputCompressorClass(job, GzipCodec.class);
    codec = ReflectionUtils.newInstance(codecClass, job);
    extension = codec.getDefaultExtension();
  }

  Path file = new Path(FileOutputFormat.getOutputPath(job), name + extension);
  FileSystem fs = file.getFileSystem(job);

  if (!isCompressed) {
    fileOut = fs.create(file, progress);
  } else {
    fileOut = new DataOutputStream(codec.createOutputStream(fs.create(file, progress)));
  }

  return new ExportRecordWriter(fileOut);
}
 

import org.apache.hadoop.mapred.FileOutputFormat; //導入依賴的package包/類
public RecordWriter<WritableComparable<?>, Writable> getRecordWriter(
    final FileSystem fs, JobConf job, String name,
    final Progressable progress) throws IOException {

  final Path segmentDumpFile = new Path(
      FileOutputFormat.getOutputPath(job), name);

  // Get the old copy out of the way
  if (fs.exists(segmentDumpFile))
    fs.delete(segmentDumpFile, true);

  final PrintStream printStream = new PrintStream(
      fs.create(segmentDumpFile));
  return new RecordWriter<WritableComparable<?>, Writable>() {
    public synchronized void write(WritableComparable<?> key, Writable value)
        throws IOException {
      printStream.println(value);
    }

    public synchronized void close(Reporter reporter) throws IOException {
      printStream.close();
    }
  };
}