Hadoop 2.0版本wordcount 以及 排序
import java.io.IOException
import java.util.Random
import java.util.StringTokenizer
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.FileSystem
import org.apache.hadoop.fs.Path
import org.apache.hadoop.io.IntWritable
import org.apache.hadoop.io.Text
import org.apache.hadoop.io.WritableComparable
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.SequenceFileInputFormat
import org.apache.hadoop.mapreduce.lib.map.InverseMapper
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat
import org.apache.hadoop.util.GenericOptionsParser
public class WordCountOnHadoop {
private static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1)
private Text word = new Text()
public void map(Object 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)
}
}
}
private static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
private IntWritable result = 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()
}
result.set(sum)
context.write(key, result)
}
}
private static class IntWritableDecreasingComparator extends IntWritable.Comparator {
public int compare(WritableComparable a, WritableComparable b) {
return -super.compare(a, b)
}
public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
return -super.compare(b1, s1, l1, b2, s2, l2)
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration()
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs()
if (otherArgs.length != 2) {
System.err.println("Usage: wordcount <in> <out>")
System.exit(2)
}
Path tempDir = new Path("wordcount-temp-" + Integer.toString(new Random().nextInt(Integer.MAX_VALUE)))
Job job = new Job(conf, "word count")
job.setJarByClass(WordCountOnHadoop.class)
try {
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(otherArgs[0]))
FileOutputFormat.setOutputPath(job, tempDir)
job.setOutputFormatClass(SequenceFileOutputFormat.class)
if (job.waitForCompletion(true)) {
Job sortJob = new Job(conf, "sort")
sortJob.setJarByClass(WordCountOnHadoop.class)
FileInputFormat.addInputPath(sortJob, tempDir)
sortJob.setInputFormatClass(SequenceFileInputFormat.class)
sortJob.setMapperClass(InverseMapper.class)
sortJob.setNumReduceTasks(1)
FileOutputFormat.setOutputPath(sortJob, new Path(otherArgs[1]))
sortJob.setOutputKeyClass(IntWritable.class)
sortJob.setOutputValueClass(Text.class)
sortJob.setSortComparatorClass(IntWritableDecreasingComparator.class)
System.exit(job.waitForCompletion(true) ? 0 : 1)
}
} finally {
FileSystem.get(conf).deleteOnExit(tempDir)
}
}
}