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WordCount Version Two
Dennis Dawson edited this page Jun 20, 2014
·
2 revisions
package org.myorg;
import java.io.IOException;
import java.util.StringTokenizer;
// Import the Configuration class for WordCount version 2
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
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.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;
public class WordCount extends Configured implements Tool {
private static final Logger LOG = Logger.getLogger(WordCount.class);
public static void main(String[] args) throws Exception {
int res = ToolRunner.run(new WordCount(), args);
System.exit(res);
}
public int run(String[] args) throws Exception {
Job job = Job.getInstance(getConf(), "wordcount");
job.setJarByClass(this.getClass());
FileInputFormat.setInputPaths(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
return job.waitForCompletion(true) ? 0 : 1;
}
public static class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
// Add this boolean variable for the caseSensitive setting.
private boolean caseSensitive = false;
// Add the setup() method for WordCount2. This will capture the value
// of the caseSensitive argument from the command line. Going forward, case sensitivity
// is disabled by default.
protected void setup(Mapper.Context context)
throws IOException,
InterruptedException
{
Configuration config = context.getConfiguration();
this.caseSensitive = config.getBoolean("wordcount.case.sensitive", false);
}
// End of the setup() method for WordCount2.
public void map(LongWritable offset, Text lineText, Context context)
throws IOException, InterruptedException {
String line = lineText.toString();
// Add this if statement for WordCount2. If case sensitivity is false,
// change each line to lowercase before running it through the
// StringTokenizer.
if (!caseSensitive) {
line = line.toLowerCase();
}
// End of update for WordCount2
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
context.write(word, one);
context.getCounter(Counters.INPUT_WORDS).increment(1);
}
}
private enum Counters {INPUT_WORDS}
}
public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
@Override
public void reduce(Text word, Iterable<IntWritable> counts, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable count : counts) {
sum += count.get();
}
context.write(word, new IntWritable(sum));
}
}
}