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 ... } 
```

      RandomDatum value = generator.getValue();
      
      key.write(data);
      value.write(data);
    }
    DataInputBuffer originalData = new DataInputBuffer();
    DataInputStream originalIn = new DataInputStream(new BufferedInputStream(originalData));
    originalData.reset(data.getData(), 0, data.getLength());
    
    LOG.info("Generated " + count + " records");
    
    // Compress data
    DataOutputBuffer compressedDataBuffer = new DataOutputBuffer();
    CompressionOutputStream deflateFilter = 
      codec.createOutputStream(compressedDataBuffer);
    DataOutputStream deflateOut = 
      new DataOutputStream(new BufferedOutputStream(deflateFilter));
    deflateOut.write(data.getData(), 0, data.getLength());
    deflateOut.flush();
    deflateFilter.finish();
    //Necessary to close the stream for BZip2 Codec to write its final output.  Flush is not enough.
    deflateOut.close();
    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));

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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.getBytes(), 0, split.getLength());
    inputSplit.readFields(splitBuffer);
    
    updateJobWithSplit(job, inputSplit);
    reporter.setInputSplit(inputSplit);

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    org.apache.hadoop.mapreduce.InputFormat<INKEY,INVALUE> inputFormat =
      (org.apache.hadoop.mapreduce.InputFormat<INKEY,INVALUE>)
        ReflectionUtils.newInstance(taskContext.getInputFormatClass(), job);
    // rebuild the input split
    org.apache.hadoop.mapreduce.InputSplit split = null;
    DataInputBuffer splitBuffer = new DataInputBuffer();
    splitBuffer.reset(rawSplit.getBytes(), 0, rawSplit.getLength());
    SerializationFactory factory = new SerializationFactory(job);
    Deserializer<? extends org.apache.hadoop.mapreduce.InputSplit>
      deserializer = 
        (Deserializer<? extends org.apache.hadoop.mapreduce.InputSplit>) 
        factory.getDeserializer(job.getClassByName(splitClass));

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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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   * available Hadoop serializations.
   * @throws IOException
   * @throws ClassNotFoundException */
  public static<T> T deserialize(Configuration conf, byte[] in
      , T obj) throws IOException, ClassNotFoundException {
    DataInputBuffer buffer = new DataInputBuffer();
    buffer.reset(in, in.length);
    return deserialize(conf, buffer, obj);
  }

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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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      }


      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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      RandomDatum value = generator.getValue();
      
      key.write(data);
      value.write(data);
    }
    DataInputBuffer originalData = new DataInputBuffer();
    DataInputStream originalIn = new DataInputStream(new BufferedInputStream(originalData));
    originalData.reset(data.getData(), 0, data.getLength());
    
    LOG.info("Generated " + count + " records");
    
    // Compress data
    DataOutputBuffer compressedDataBuffer = new DataOutputBuffer();
    CompressionOutputStream deflateFilter = 
      codec.createOutputStream(compressedDataBuffer);
    DataOutputStream deflateOut = 
      new DataOutputStream(new BufferedOutputStream(deflateFilter));
    deflateOut.write(data.getData(), 0, data.getLength());
    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));

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    System.out.println(new String(buffer.getData(), 0, buffer.getLength()));


    QueryWritable qw = new QueryWritable();


    DataInputBuffer in = new DataInputBuffer();
    in.reset(buffer.getData(), 0, buffer.getLength());
    qw.readFields(in);


    System.out.println("------------");
    
    System.out.println(qw.getQuery());

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