Examples of org.apache.hadoop.io.DataInputBuffer

org.apache.hadoop.io.DataInputBuffer
A reusable {@link DataInput} implementation that reads from an in-memorybuffer.
This saves memory over creating a new DataInputStream and ByteArrayInputStream each time data is read.
Typical usage is something like the following:
```
 DataInputBuffer buffer = new DataInputBuffer(); while (... loop condition ...) { byte[] data = ... get data ...; int dataLength = ... get data length ...; buffer.reset(data, dataLength); ... read buffer using DataInput methods ... } 
```

      IOException wrap = new IOException("Split class " + splitClass + 
                                         " not found");
      wrap.initCause(exp);
      throw wrap;
    }
    DataInputBuffer splitBuffer = new DataInputBuffer();
    splitBuffer.reset(split.get(), 0, split.getSize());
    instantiatedSplit.readFields(splitBuffer);
    
    // if it is a file split, we can give more details
    if (instantiatedSplit instanceof FileSplit) {
      FileSplit fileSplit = (FileSplit) instantiatedSplit;

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        value = (Writable)ReflectionUtils.newInstance(valClass, job);
      } catch (Exception e) {
        throw new RuntimeException(e);
      }


      DataInputBuffer keyIn = new DataInputBuffer();
      DataInputBuffer valIn = new DataInputBuffer();
      DataOutputBuffer valOut = new DataOutputBuffer();
      while (resultIter.next()) {
        keyIn.reset(resultIter.getKey().getData(), 
                    resultIter.getKey().getLength());
        key.readFields(keyIn);
        valOut.reset();
        (resultIter.getValue()).writeUncompressedBytes(valOut);
        valIn.reset(valOut.getData(), valOut.getLength());
        value.readFields(valIn);
        writer.append(key, value);
        reporter.progress();
      }
    }

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      IOException wrap = new IOException("Split class " + splitClass + 
                                         " not found");
      wrap.initCause(exp);
      throw wrap;
    }
    DataInputBuffer splitBuffer = new DataInputBuffer();
    splitBuffer.reset(split.get(), 0, split.getSize());
    instantiatedSplit.readFields(splitBuffer);
    
    // if it is a file split, we can give more details
    if (instantiatedSplit instanceof FileSplit) {
      FileSplit fileSplit = (FileSplit) instantiatedSplit;

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  @SuppressWarnings("deprecation")
  public TextRecordInputStream(Path p, FileSystem fs, Configuration configuration) throws IOException {
    r = new SequenceFile.Reader(fs, p, configuration);
    key = ReflectionUtils.newInstance(r.getKeyClass().asSubclass(WritableComparable.class), configuration);
    val = ReflectionUtils.newInstance(r.getValueClass().asSubclass(Writable.class), configuration);
    inbuf = new DataInputBuffer();
    outbuf = new DataOutputBuffer();
  }

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     * read the next key 
     */
    private void readNextKey() throws IOException {
      more = in.next();
      if (more) {
        DataInputBuffer nextKeyBytes = in.getKey();
        keyIn.reset(nextKeyBytes.getData(), nextKeyBytes.getPosition(), nextKeyBytes.getLength());
        nextKey = keyDeserializer.deserialize(nextKey);
        hasNext = key != null && (comparator.compare(key, nextKey) == 0);
      } else {
        hasNext = false;
      }

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    /**
     * Read the next value
     * @throws IOException
     */
    private void readNextValue() throws IOException {
      DataInputBuffer nextValueBytes = in.getValue();
      valueIn.reset(nextValueBytes.getData(), nextValueBytes.getPosition(), nextValueBytes.getLength());
      value = valDeserializer.deserialize(value);
    }

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            long segmentStart = out.getPos();
            writer = new Writer<K, V>(job, out, keyClass, valClass, codec,
                                      spilledRecordsCounter);
            if (combinerRunner == null) {
              // spill directly
              DataInputBuffer key = new DataInputBuffer();
              while (spindex < endPosition &&
                  kvindices[kvoffsets[spindex % kvoffsets.length]
                            + PARTITION] == i) {
                final int kvoff = kvoffsets[spindex % kvoffsets.length];
                getVBytesForOffset(kvoff, value);
                key.reset(kvbuffer, kvindices[kvoff + KEYSTART],
                          (kvindices[kvoff + VALSTART] - 
                           kvindices[kvoff + KEYSTART]));
                writer.append(key, value);
                ++spindex;
              }

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      }


      public boolean next(DataInputBuffer key, DataInputBuffer value)
          throws IOException {
        if (kvIter.next()) {
          final DataInputBuffer kb = kvIter.getKey();
          final DataInputBuffer vb = kvIter.getValue();
          final int kp = kb.getPosition();
          final int klen = kb.getLength() - kp;
          key.reset(kb.getData(), kp, klen);
          final int vp = vb.getPosition();
          final int vlen = vb.getLength() - vp;
          value.reset(vb.getData(), vp, vlen);
          bytesRead += klen + vlen;
          return true;
        }
        return false;
      }

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          );
        }


        // TODO: Remove this after a 'fix' for HADOOP-3647
        if (mapOutputLength > 0) {
          DataInputBuffer dib = new DataInputBuffer();
          dib.reset(shuffleData, 0, shuffleData.length);
          LOG.info("Rec #1 from " + mapOutputLoc.getTaskAttemptId() + " -> (" + 
                   WritableUtils.readVInt(dib) + ", " + 
                   WritableUtils.readVInt(dib) + ") from " + 
                   mapOutputLoc.getHost());
        }

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    deflateOut.flush();
    deflateFilter.finish();
    LOG.info("Finished compressing data");
    
    // De-compress data
    DataInputBuffer deCompressedDataBuffer = new DataInputBuffer();
    deCompressedDataBuffer.reset(compressedDataBuffer.getData(), 0, 
                                 compressedDataBuffer.getLength());
    CompressionInputStream inflateFilter = 
      codec.createInputStream(deCompressedDataBuffer);
    DataInputStream inflateIn = 
      new DataInputStream(new BufferedInputStream(inflateFilter));


    // Check
    DataInputBuffer originalData = new DataInputBuffer();
    originalData.reset(data.getData(), 0, data.getLength());
    DataInputStream originalIn = new DataInputStream(new BufferedInputStream(originalData));
    for(int i=0; i < count; ++i) {
      RandomDatum k1 = new RandomDatum();
      RandomDatum v1 = new RandomDatum();
      k1.readFields(originalIn);
      v1.readFields(originalIn);
      
      RandomDatum k2 = new RandomDatum();
      RandomDatum v2 = new RandomDatum();
      k2.readFields(inflateIn);
      v2.readFields(inflateIn);
    }


    // De-compress data byte-at-a-time
    originalData.reset(data.getData(), 0, data.getLength());
    deCompressedDataBuffer.reset(compressedDataBuffer.getData(), 0, 
                                 compressedDataBuffer.getLength());
    inflateFilter = 
      codec.createInputStream(deCompressedDataBuffer);

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