you can achieve the desired output based on your input with this way also: (not need to write custom Input/output format)
input:
sampat1 kumar2 hadoop3 mapredue4 sampat1 kumar2 hadoop3 mapredue4 sampat1 kumar2 hadoop3 mapredue4 sampat1 kumar2 hadoop3 mapredue4 sampat1 kumar2 hadoop3 mapredue4
output:
sampat1 hadoop3 sampat1 hadoop3 sampat1 hadoop3 sampat1 hadoop3 sampat1 hadoop3
code:
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
public class OddLine {
public static class OddLineMapper extends Mapper<Object, Text, Text, Text> {
private StringBuilder sb = new StringBuilder("");
@Override
public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
String[] lines = value.toString().split(" ");
for(int i=0; i < lines.length; i+=2)
sb.append(lines[i] + " ");
context.write(new Text(""), new Text(sb.toString()));
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "Get odd words");
job.setJarByClass(OddLine.class);
job.setMapperClass(OddLineMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
FileSystem fs = null;
Path dstFilePath = new Path(args[1]);
try {
fs = dstFilePath.getFileSystem(conf);
if (fs.exists(dstFilePath))
fs.delete(dstFilePath, true);
} catch (IOException e1) {
e1.printStackTrace();
}
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}