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P2Q2.java
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package org.p7h.udacityhadoop.p2;
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.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.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
/**
* Write a MapReduce program which determines the number of hits to the site made by each different IP Address.
* a. How many hits were made by the IP address: 10.99.99.186
*/
public final class P2Q2 {
private final static IntWritable ONE = new IntWritable(1);
public final static void main(final String[] args) throws Exception {
final Configuration conf = new Configuration();
final Job job = new Job(conf, "P2Q2");
job.setJarByClass(P2Q2.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setMapperClass(P2Q2Map.class);
job.setCombinerClass(P2Q2Reduce.class);
job.setReducerClass(P2Q2Reduce.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.waitForCompletion(true);
}
public static final class P2Q2Map extends Mapper<LongWritable, Text, Text, IntWritable> {
private final Text mapKey = new Text();
public final void map(final LongWritable key, final Text value, final Context context)
throws IOException, InterruptedException {
final String line = value.toString();
final String[] data = line.trim().split(" ");
if (data.length > 1) {
final String ipAddress = data[0];
mapKey.set(ipAddress);
context.write(mapKey, ONE);
}
}
}
public static final class P2Q2Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
public final void reduce(final Text key, final Iterable<IntWritable> values, final Context context)
throws IOException, InterruptedException {
int count = 0;
for (final IntWritable val : values) {
count += val.get();
}
context.write(key, new IntWritable(count));
}
}
}