Package org.apache.hadoop.mapred

Examples of org.apache.hadoop.mapred.TextInputFormat$LineRecordReader$TextStuffer

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    if (targetPaths.size() == 0) {
      return new InputSplit[0];
    }

    // The input should be in TextInputFormat.
    TextInputFormat inputFormat = new TextInputFormat();
    JobConf newjob = new JobConf(job);
    newjob.setInputFormat(TextInputFormat.class);
    inputFormat.configure(newjob);

    List<InputSplit> result = new ArrayList<InputSplit>();

    // ceil(numSplits / numPaths), so we can get at least numSplits splits.
    int numPaths = targetPaths.size();
    int numSubSplits = (numSplits + numPaths - 1) / numPaths;

    // For each path, do getSplits().
    for (int i = 0; i < numPaths; ++i) {
      Path targetPath = targetPaths.get(i);
      Path symlinkPath = symlinkPaths.get(i);

      FileInputFormat.setInputPaths(newjob, targetPath);

      InputSplit[] iss = inputFormat.getSplits(newjob, numSubSplits);
      for (InputSplit is : iss) {
        result.add(new SymlinkTextInputSplit(symlinkPath, (FileSplit)is));
      }
    }
    return result.toArray(new InputSplit[result.size()]);
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    final int numFiles = 10;

    createFiles(length, numFiles, random);

    // create a combined split for the files
    TextInputFormat wrappedFormat = new TextInputFormat();
    wrappedFormat.configure(job);
    TezGroupedSplitsInputFormat<LongWritable , Text> format =
        new TezGroupedSplitsInputFormat<LongWritable, Text>();
    format.setConf(job);
    format.setDesiredNumberOfSplits(1);
    format.setInputFormat(wrappedFormat);
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    writeFile(localFs, new Path(workDir, "part2.txt.gz"), gzip,
              "is\ngzip\n");
    writeFile(localFs, new Path(workDir, "part3.txt.gz"), gzip,
        "one\nmore\nsplit\n");
    FileInputFormat.setInputPaths(job, workDir);
    TextInputFormat wrappedFormat = new TextInputFormat();
    wrappedFormat.configure(job);
    TezGroupedSplitsInputFormat<LongWritable , Text> format =
        new TezGroupedSplitsInputFormat<LongWritable, Text>();
    format.setConf(job);
    format.setInputFormat(wrappedFormat);
   
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  }

  @Override
  protected void runJob(JobConf job) throws IOException {
    // retrieve the splits
    TextInputFormat input = (TextInputFormat) job.getInputFormat();
    InputSplit[] splits = input.getSplits(job, job.getNumMapTasks());
    log.debug("Nb splits : " + splits.length);

    InputSplit[] sorted = Arrays.copyOf(splits, splits.length);
    Builder.sortSplits(sorted);

    int numTrees = Builder.getNbTrees(job); // total number of trees

    firstOutput = new PartialOutputCollector(numTrees);
    Reporter reporter = Reporter.NULL;

    firstIds = new int[splits.length];
    sizes = new int[splits.length];
   
    // to compute firstIds, process the splits in file order
    int firstId = 0;
    long slowest = 0; // duration of slowest map
    for (InputSplit split : splits) {
      int hp = ArrayUtils.indexOf(sorted, split); // hadoop's partition

      RecordReader<LongWritable, Text> reader = input.getRecordReader(split, job, reporter);

      LongWritable key = reader.createKey();
      Text value = reader.createValue();

      Step1Mapper mapper = new MockStep1Mapper(getTreeBuilder(), dataset, getSeed(),
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   *
   */
  protected void secondStep(JobConf job, Path forestPath,
      PredictionCallback callback) throws IOException {
    // retrieve the splits
    TextInputFormat input = (TextInputFormat) job.getInputFormat();
    InputSplit[] splits = input.getSplits(job, job.getNumMapTasks());
    log.debug("Nb splits : " + splits.length);

    Builder.sortSplits(splits);

    int numTrees = Builder.getNbTrees(job); // total number of trees

    // compute the expected number of outputs
    int total = 0;
    for (int p = 0; p < splits.length; p++) {
      total += Step2Mapper.nbConcerned(splits.length, numTrees, p);
    }

    secondOutput = new PartialOutputCollector(total);
    Reporter reporter = Reporter.NULL;
    long slowest = 0; // duration of slowest map

    for (int partition = 0; partition < splits.length; partition++) {
      InputSplit split = splits[partition];
      RecordReader<LongWritable, Text> reader = input.getRecordReader(split,
          job, reporter);

      LongWritable key = reader.createKey();
      Text value = reader.createValue();

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    job.setNumMapTasks(numMaps);

    FileInputFormat.setInputPaths(job, dataPath);

    // retrieve the splits
    TextInputFormat input = (TextInputFormat) job.getInputFormat();
    InputSplit[] splits = input.getSplits(job, numMaps);

    InputSplit[] sorted = Arrays.copyOf(splits, splits.length);
    Builder.sortSplits(sorted);

    Step0OutputCollector collector = new Step0OutputCollector(numMaps);
    Reporter reporter = Reporter.NULL;

    for (int p = 0; p < numMaps; p++) {
      InputSplit split = sorted[p];
      RecordReader<LongWritable, Text> reader = input.getRecordReader(split, job, reporter);

      LongWritable key = reader.createKey();
      Text value = reader.createValue();

      Step0Mapper mapper = new Step0Mapper();
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    JobConf job = new JobConf();
    job.setNumMapTasks(numMaps);
    FileInputFormat.setInputPaths(job, dataPath);

    // retrieve the splits
    TextInputFormat input = (TextInputFormat) job.getInputFormat();
    InputSplit[] splits = input.getSplits(job, numMaps);

    InputSplit[] sorted = Arrays.copyOf(splits, splits.length);
    Builder.sortSplits(sorted);

    Reporter reporter = Reporter.NULL;

    int[] keys = new int[numMaps];
    Step0Output[] values = new Step0Output[numMaps];
   
    int[] expectedIds = new int[numMaps];
   
    for (int p = 0; p < numMaps; p++) {
      InputSplit split = sorted[p];
      RecordReader<LongWritable, Text> reader = input.getRecordReader(split, job, reporter);

      LongWritable key = reader.createKey();
      Text value = reader.createValue();

      Long firstKey = null;
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    final int numFiles = 10;

    createFiles(length, numFiles, random);

    // create a combined split for the files
    TextInputFormat wrappedFormat = new TextInputFormat();
    wrappedFormat.configure(job);
    TezGroupedSplitsInputFormat<LongWritable , Text> format =
        new TezGroupedSplitsInputFormat<LongWritable, Text>();
    format.setConf(job);
    format.setDesiredNumberOfSplits(1);
    format.setInputFormat(wrappedFormat);
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    writeFile(localFs, new Path(workDir, "part2.txt.gz"), gzip,
              "is\ngzip\n");
    writeFile(localFs, new Path(workDir, "part3.txt.gz"), gzip,
        "one\nmore\nsplit\n");
    FileInputFormat.setInputPaths(job, workDir);
    TextInputFormat wrappedFormat = new TextInputFormat();
    wrappedFormat.configure(job);
    TezGroupedSplitsInputFormat<LongWritable , Text> format =
        new TezGroupedSplitsInputFormat<LongWritable, Text>();
    format.setConf(job);
    format.setInputFormat(wrappedFormat);
   
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      }
      Collections.sort(columnIds);
    }
    targetRecordCount = context.getConfig().getInt(ExecConstants.TEXT_LINE_READER_BATCH_SIZE);
    numCols = columnIds.size();
    TextInputFormat inputFormat = new TextInputFormat();
    JobConf job = new JobConf();
    job.setInt("io.file.buffer.size", context.getConfig().getInt(ExecConstants.TEXT_LINE_READER_BUFFER_SIZE));
    job.setInputFormat(inputFormat.getClass());
    try {
      reader = inputFormat.getRecordReader(split, job, Reporter.NULL);
      key = reader.createKey();
      value = reader.createValue();
    } catch (IOException e) {
      throw new RuntimeException(e);
    }
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