import java.io.IOException; 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; public class LogTime { public static class TokenizerMapper extends Mapper{ private Text word = new Text(); public void map(Object key, Text value, Context context) throws IOException, InterruptedException { String line = value.toString(); String[] lineSplit = line.split(" "); int time1 = Integer.parseInt(lineSplit[1]); int time2 = Integer.parseInt(lineSplit[2]); int timediff = time2 - time1; String ip = lineSplit[0]; word = new Text(ip); context.write(word, new IntWritable(timediff)); } } public static class IntSumReducer extends Reducer { public void reduce(Text key, Iterable values, Context context) throws IOException, InterruptedException { int sum = 0; for (IntWritable val : values) { sum += val.get(); } context.write(key, new IntWritable(sum)); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = Job.getInstance(conf, "CSVCounter3"); job.setJarByClass(CSVCounter3.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(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }