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@jdalthoff
Created August 24, 2012 01:54
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Example to count all IP addresses from Vatican City in HDFS files containing lists of IP addresses
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 IPCount {
public static class IPBlockMapper extends Mapper<Object, Text, Text, IntWritable>
{
private final static IntWritable one = new IntWritable(1);
private Text add = new Text();
public void map(Object key, Text value, Context context) throws IOException, InterruptedException
{
StringTokenizer st = new StringTokenizer(value.toString(), ".");
if(st.countTokens() == 4)
{
String[] nums = new String[4];
int count = 0;
while(st.hasMoreElements())
{
nums[count++] = st.nextToken();
}
int n1 = Integer.parseInt(nums[0]);
int n2 = Integer.parseInt(nums[1]);
int n3 = Integer.parseInt(nums[2]);
int n4 = Integer.parseInt(nums[3]);
// IP Address block 212.77.0.0 to 212.77.31.255
if(n1 == 212 && n2 == 77 && n3 >= 0 && n3 <= 31 && n4 >=0 && n4 <= 255)
{
add.set(value);
context.write(add, one);
}
}
}
}
public static class IPCountReducer extends Reducer<Text,IntWritable,Text,IntWritable>
{
private IntWritable count = new IntWritable();
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
count.set(sum);
context.write(key, count);
}
}
public static void main(String[] args) throws Exception {
Configuration c = new Configuration();
String[] rargs = new GenericOptionsParser(c, args).getRemainingArgs();
if (rargs.length != 2) {
System.err.println("Usage: ipcount <in> <out>");
System.exit(2);
}
Job job = new Job(c, "ip count");
job.setJarByClass(IPCount.class);
job.setMapperClass(IPBlockMapper.class);
job.setCombinerClass(IPCountReducer.class);
job.setReducerClass(IPCountReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(rargs[0]));
FileOutputFormat.setOutputPath(job, new Path(rargs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
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