This is basic template you would usually need to write a Map reduce program. Most part would remain same, except Job related inputs and input/output type classes

MapReduceBaseTemplate.java

import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

import java.io.IOException;

public class MapReduceClass extends Configured implements Tool {

    public static class MapClass extends Mapper<LongWritable, Text, Text, LongWritable> {

        public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            // your map code goes here

        }
    }


    public static class Reduce extends Reducer<Text, LongWritable, Text, Text> {

        public void reduce(Text key, Iterable<LongWritable> values, Context context) throws IOException, InterruptedException {
            // your reduce function goes here
    }

    public int run(String args[]) throws Exception {
        Job job = new Job();
        job.setJarByClass(MapReduceClass.class);

        job.setMapperClass(MapClass.class);
        job.setReducerClass(Reduce.class);

        FileInputFormat.setInputPaths(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));

        // if your map output key/value classes are different than your input key/value classes
        // see - http://stackoverflow.com/questions/11761135/hadoop-job-fails-while-reducing-java-io-ioexception-type-mismatch-in-value-fro
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(LongWritable.class);
        
        job.setJobName("MapReduceClass");

        // uncomment the following if you just want to run Mapper and not Reducer
//        job.setNumReduceTasks(0);
        boolean success = job.waitForCompletion(true);
        return success ? 0 : 1;
    }

    public static void main(String args[]) throws Exception {
        int ret = ToolRunner.run(new MapReduceClass(), args);
        System.exit(ret);
    }
}

Just missing a brace between 29 and 30.