Package org.apache.hadoop.io

Examples of org.apache.hadoop.io.DataInputBuffer.readByte()

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        inBuffer.reset(payload, payload.length);

        try {
            String app = inBuffer.readUTF();
            int numMessages = inBuffer.readInt();
            byte compression = inBuffer.readByte();
            long crc = inBuffer.readLong();
            byte[] messages = new byte[inBuffer.readInt()];
            inBuffer.read(messages);

            return new TMessageSet(
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      // same column size, start to compare column by column
     
      for( int i=0;i<upper_bound;i++ )
      {
        byte type1 = d1.readByte();
        byte type2 = d2.readByte();
       
        _COLUMN_COMPARATOR.setType(type1, type2);
        _compare_result = _COLUMN_COMPARATOR.compare(d1, d2, this.conf);
       
        // comparing for a column has complete       
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      //////////////////////////////////////////////////////////
      // compare KEY, values from DataJoinKey#KEY_FIELDNAME
      // KEY represents the actual key user specified
      ///////////////////////////////////////////////////////////
      byte type1 = d1.readByte();
      byte type2 = d2.readByte();
      _COLUMN_COMPARATOR.setType(type1, type2);
     
     
      // writable, check if they are Tuple or NullWritable
      if( type1==Tuple.NULL_WRITABLE_TYPE && type2==Tuple.NULL_WRITABLE_TYPE )
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      // reducer, we need to make sure the values from DATASET1 always come
      // before DATASET2, so we need to compare the DATASET_ID here.
      //////////////////////////////////////////////////////////////////////////
      try
      {
        _COLUMN_COMPARATOR.setType(d1.readByte(), d2.readByte());
        _compare_result = _COLUMN_COMPARATOR.compare(d1, d2, this.conf);
        if(_compare_result != 0) return _compare_result;
      }catch(IOException e)
      {
        byte[] b = new byte[l1];
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