mappy

package wordcount;


import java.io.IOException;
import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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.GenericOptionsParser;

public class fourB {

    public static class TokenizerMapper 
        extends Mapper<Object, Text, IntWritable, IntWritable>{

            private final static IntWritable zero = new IntWritable(0);
            private final static IntWritable one = new IntWritable(1);
            private Text missing = new Text();
            private Text word = new Text();

            public void map(Object key, Text value, Context context
                    ) throws IOException, InterruptedException {
                StringTokenizer itr = new StringTokenizer(value.toString());
                while (itr.hasMoreTokens()) {
                    String wordy = itr.nextToken();
                    for (int m = 0; m < 15; m++){
                        if(m == wordy.length()){
                            int counter = 0;
                            for(int x = 0; x < wordy.length(); x++){
                                if(wordy.charAt(x)== 'a' || wordy.charAt(x)== 'e' || wordy.charAt(x)== 'i' || wordy.charAt(x)== 'o' || wordy.charAt(x)== 'u' || wordy.charAt(x)== 'y' || wordy.charAt(x)== 'A' || wordy.charAt(x)== 'E' || wordy.charAt(x)== 'I' || wordy.charAt(x)== 'O' || wordy.charAt(x)== 'U' || wordy.charAt(x)== 'Y'){
                                    counter++;
                                }
                            }
                            System.out.println(wordy + " of length " + m + " contains " + counter + " values!");
                            context.write(new IntWriteable (m), new IntWriteable(counter));
                        }
                        context.write(new IntWritable (m), zero);
                    }
                }
            }
        }


    public static class IntSumReducer 
        extends Reducer<IntWritable,IntWritable,Text,DoubleWritable> {
            public void reduce(IntWritable key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
                double sum = 0;
                double denom = 0;
                int[] arr = new int[key.get ()+1]

                for (IntWritable val : values) {
                    denom++;
                    arr[val.get ()]++;
                }

                Text fin = new Text ();
                for (int i = 0; i < arr.length (); i++) {
                    fin.set(key.toString () + " " + i)
                    context.write ( fin, new DoubleWritable(arr[i] / denom) );
                }
            }
        }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
        if (otherArgs.length != 2) {
            System.err.println("Usage: wordcount <in> <out>");
            System.exit(2);
        }
        Job job = new Job(conf, "word count");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        job.setCombinerClass(IntSumReducer.class);
        job.setReducerClass(IntSumReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
        FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }
}