Examples of org.apache.hadoop.mapred.InputFormat

org.apache.hadoop.mapred.InputFormat
InputFormat describes the input-specification for a Map-Reduce job.
The Map-Reduce framework relies on the InputFormat of the job to:
1. Validate the input-specification of the job.
2. Split-up the input file(s) into logical {@link InputSplit}s, each of which is then assigned to an individual {@link Mapper}.
3. Provide the {@link RecordReader} implementation to be used to gleaninput records from the logical InputSplit for processing by the {@link Mapper}.
The default behavior of file-based {@link InputFormat}s, typically sub-classes of {@link FileInputFormat}, is to split the input into logical {@link InputSplit}s based on the total size, in bytes, of the input files. However, the {@link FileSystem} blocksize of the input files is treated as an upper bound for input splits. A lower bound on the split size can be set via mapred.min.split.size.

Clearly, logical splits based on input-size is insufficient for many applications since record boundaries are to respected. In such cases, the application has to also implement a {@link RecordReader} on whom lies theresponsibilty to respect record-boundaries and present a record-oriented view of the logical InputSplit to the individual task. @see InputSplit @see RecordReader @see JobClient @see FileInputFormat

      } finally {
        writer.close();
      }


      // try splitting the file in a variety of sizes
      InputFormat format = new SequenceFileInputFormat();
      RecInt key = new RecInt();
      RecBuffer value = new RecBuffer();
      for (int i = 0; i < 3; i++) {
        int numSplits =
          random.nextInt(MAX_LENGTH/(SequenceFile.SYNC_INTERVAL/20))+1;
        //LOG.info("splitting: requesting = " + numSplits);
        FileSplit[] splits = format.getSplits(fs, job, numSplits);
        //LOG.info("splitting: got =        " + splits.length);


        // check each split
        BitSet bits = new BitSet(length);
        for (int j = 0; j < splits.length; j++) {
          RecordReader reader =
            format.getRecordReader(fs, splits[j], job, reporter);
          try {
            int count = 0;
            while (reader.next(key, value)) {
              // if (bits.get(key.get())) {
              // LOG.info("splits["+j+"]="+splits[j]+" : " + key.get());

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   * Obscures the InputFormat and location information to simulate maps
   * reading input from arbitrary locations (&quot;indirect&quot; reads).
   */
  static class IndirectInputFormat implements InputFormat {
    public void validateInput(JobConf job) throws IOException {
      InputFormat indirIF = (InputFormat)ReflectionUtils.newInstance(
          job.getClass("mapred.indirect.input.format",
            SequenceFileInputFormat.class), job);
      indirIF.validateInput(job);
    }

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      return splits.toArray(new IndirectSplit[splits.size()]);
    }


    public RecordReader getRecordReader(InputSplit split, JobConf job,
        Reporter reporter) throws IOException {
      InputFormat indirIF = (InputFormat)ReflectionUtils.newInstance(
          job.getClass("mapred.indirect.input.format",
            SequenceFileInputFormat.class), job);
      IndirectSplit is = ((IndirectSplit)split);
      return indirIF.getRecordReader(new FileSplit(is.getPath(), 0,
            is.getLength(), (String[])null),
          job, reporter);
    }

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   * Obscures the InputFormat and location information to simulate maps
   * reading input from arbitrary locations (&quot;indirect&quot; reads).
   */
  static class IndirectInputFormat implements InputFormat {
    public void validateInput(JobConf job) throws IOException {
      InputFormat indirIF = (InputFormat)ReflectionUtils.newInstance(
          job.getClass("mapred.indirect.input.format",
            SequenceFileInputFormat.class), job);
      indirIF.validateInput(job);
    }

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      return splits.toArray(new IndirectSplit[splits.size()]);
    }


    public RecordReader getRecordReader(InputSplit split, JobConf job,
        Reporter reporter) throws IOException {
      InputFormat indirIF = (InputFormat)ReflectionUtils.newInstance(
          job.getClass("mapred.indirect.input.format",
            SequenceFileInputFormat.class), job);
      IndirectSplit is = ((IndirectSplit)split);
      return indirIF.getRecordReader(new FileSplit(is.getPath(), 0,
            is.getLength(), (String[])null),
          job, reporter);
    }

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          .getPartitionDescFromPathRecursively(pathToPartitionInfo, dir,
              IOPrepareCache.get().allocatePartitionDescMap(), true);
      // create a new InputFormat instance if this is the first time to see this
      // class
      Class inputFormatClass = part.getInputFileFormatClass();
      InputFormat inputFormat = getInputFormatFromCache(inputFormatClass, job);
      Utilities.copyTableJobPropertiesToConf(part.getTableDesc(), newjob);


      FileInputFormat.setInputPaths(newjob, dir);
      newjob.setInputFormat(inputFormat.getClass());
      InputSplit[] iss = inputFormat.getSplits(newjob, numSplits / dirs.length);
      for (InputSplit is : iss) {
        result.add(new HiveInputSplit(is, inputFormatClass.getName()));
      }
    }
    return result.toArray(new HiveInputSplit[result.size()]);

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    // from Utilities.getInputSummary()
    private long getFileLength(JobConf conf, Path path, Class<? extends InputFormat> clazz)
        throws IOException {
      ContentSummary summary;
      if (ContentSummaryInputFormat.class.isAssignableFrom(clazz)) {
        InputFormat input = HiveInputFormat.getInputFormatFromCache(clazz, conf);
        summary = ((ContentSummaryInputFormat)input).getContentSummary(path, conf);
      } else {
        summary = path.getFileSystem(conf).getContentSummary(path);
      }
      return summary.getLength();

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            @Override
            public void run() {
              try {
                Class<? extends InputFormat> inputFormatCls = partDesc
                    .getInputFileFormatClass();
                InputFormat inputFormatObj = HiveInputFormat.getInputFormatFromCache(
                    inputFormatCls, myJobConf);
                if (inputFormatObj instanceof ContentSummaryInputFormat) {
                  ContentSummaryInputFormat cs = (ContentSummaryInputFormat) inputFormatObj;
                  resultMap.put(pathStr, cs.getContentSummary(p, myJobConf));
                  return;

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      inputFormatClass = Class.forName(inputFormatClassName);
    } catch (ClassNotFoundException e) {
      throw new IOException("CombineHiveRecordReader: class not found "
          + inputFormatClassName);
    }
    InputFormat inputFormat = HiveInputFormat.getInputFormatFromCache(
        inputFormatClass, jobConf);


    // create a split for the given partition
    FileSplit fsplit = new FileSplit(hsplit.getPaths()[partition], hsplit
        .getStartOffsets()[partition], hsplit.getLengths()[partition], hsplit
        .getLocations());


    this.setRecordReader(inputFormat.getRecordReader(fsplit, jobConf, reporter));


    this.initIOContext(fsplit, jobConf, inputFormatClass, this.recordReader);
  }

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      }


      // Use HiveInputFormat if any of the paths is not splittable
      Class inputFormatClass = part.getInputFileFormatClass();
      String inputFormatClassName = inputFormatClass.getName();
      InputFormat inputFormat = getInputFormatFromCache(inputFormatClass, job);
      String deserializerClassName = null;
      try {
        deserializerClassName = part.getDeserializer(job).getClass().getName();
      } catch (Exception e) {
        // ignore

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