package cn.chen.hd.mr
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.output.FileOutputFormat
import java.io.IOException
import java.util.StringTokenizer
public class WordCount {
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration()
if(args.length != 2){
System.err.println("Usage: wordcount <in> <out>")
System.exit(2)
}
Job job = new Job(conf, "word count")
job.setJarByClass(WordCount.class)
job.setMapperClass(TokenizerMapper.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)
}
}
class IntSumReducer extends Reducer<Text,IntWritable,Text,IntWritable>{
private IntWritable result = new IntWritable()
@Override
protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
int sum = 0
for(IntWritable val : values){
sum += val.get()
}
result.set(sum)
context.write(key, result)
}
}
class TokenizerMapper extends Mapper<LongWritable, Text, Text, IntWritable>{
private final static IntWritable one = new IntWritable(1)
private Text word = new Text()
@Override
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(value.toString())
while(itr.hasMoreTokens()){
word.set(itr.nextToken())
context.write(word, one)
}
}
}