Example2:( For each city , what is total salary.)

Example 2:      Emp2.java
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input Hdfs file:  mr/emp
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[training@localhost ~]$ hadoop fs -cat mr/emp
101,ravi,10000,hyd,m,11
102,rani,12000,pune,f,12
103,ravina,13000,hyd,f,13
104,rana,14000,hyd,m,11
105,roopa,15000,pune,f,12
106,razeena,16000,pune,f,12
107,susma,14000,hyd,f,12
108,sampurnesh,20000,delhi,m,13
109,samantha,18000,pune,f,12
110,kamal,19000,delhi,m,11
111,krupa,21000,delhi,m,11
112,kapoor,16000,pune,m,12

schema : ecode, name, sal, city, sex, dno

Task:   for each city , what is total salary.

Sql :   select city , sum(sal) from emp group by  city;

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Emp1.java
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package bharath.sreeram.big.halitcs;

import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;

public class Emp2
{
public static class MyMap extends Mapper<LongWritable,Text,Text,IntWritable>
{
public void map(LongWritable k,Text v, Context con)
throws IOException, InterruptedException
{
String line = v.toString();
String[] w=line.split(",");
String city=w[3];
int sal=Integer.parseInt(w[2]);
con.write(new Text(city), new IntWritable(sal));
}
}
public static class MyRed extends Reducer<Text,IntWritable,Text,IntWritable>
{
public void reduce(Text k, Iterable<IntWritable> vlist, Context con)
throws IOException , InterruptedException
{
int tot =0;
for(IntWritable v:vlist)
tot+=v.get();
con.write(k,new IntWritable(tot));
}
}
public static void main(String[] args) throws Exception
{
Configuration c = new Configuration();
Job j= new Job(c,"Test");
j.setJarByClass(Emp2.class);
j.setMapperClass(MyMap.class);
j.setReducerClass(MyRed.class);
j.setOutputKeyClass(Text.class);
j.setOutputValueClass(IntWritable.class);
Path p1 = new Path(args[0]);
Path p2 = new Path(args[1]);
   FileInputFormat.addInputPath(j,p1);
   FileOutputFormat.setOutputPath(j,p2);
   System.exit(j.waitForCompletion(true) ? 0:1);
}

}


Submitting Hadoop Job:

$ hadoop jar Desktop/mr.jar  bharath.sreeram.big.halitcs.Emp2 mr/emp  Result2


output of the Job:

$ hadoop fs -cat Result2/part-r-00000
delhi   60000
hyd     51000
pune    77000