mapper is slower than hive' mapper

[Yue Guan]

Hi, there

I'm writing mapreduce to replace some hive query and I find that my 
mapper is slow than hive's mapper. The Hive query is like:

select sum(column1) from table group by column2, column3;

My mapreduce program likes this:

    public static class HiveTableMapper extends Mapper<BytesWritable, 
Text, MyKey, DoubleWritable> {

        public void map(BytesWritable key, Text value, Context context) 
throws IOException, InterruptedException {
                String[] sLine = StringUtils.split(value.toString(), 
StringUtils.ESCAPE_CHAR, HIVE_FIELD_DELIMITER_CHAR);
            context.write(new MyKey(Integer.parseInt(sLine[0]), 
sLine[1]), new DoubleWritable(Double.parseDouble(sLine[2])));
        }

    }

I assume hive is doing something similar. Is there any trick in hive to 
speed this thing up? Thank you!

Best,