cd ~/src
mkdir classes
javac -classpath ~/hadoop-0.20.2/hadoop-0.20.2-core.jar WordCount.java -d classes
jar -cvf WordCount.jar -C classes/ .
hadoop jar WordCount.jar com.codestyle.hadoop.WordCount input output
hadoop fs -ls output
hadoop fs -cat output/part-00000
要点:
编译WordCount.java时必须通过classpath指定hadoop的库文件。指定源码输出到classes目录
打包class文件成为jar文件
通过hadoop调用jar文件执行MapReduce, 内容输出到output目录
(如果该目录存在,则要先删掉这个目录)在命令参数中必须指定包名+类名
WordCount.java
package com.codestyle.hadoop;import java.io.IOException;
import java.util.*;import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
import org.apache.hadoop.util.*;public class WordCount {
public static class Map extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();public void map(LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
output.collect(word, one);
}
}
}public static class Reduce extends MapReduceBase implements Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
int sum = 0;
while (values.hasNext()) {
sum += values.next().get();
}
output.collect(key, new IntWritable(sum));
}
}public static void main(String[] args) throws Exception {
JobConf conf = new JobConf(WordCount.class);
conf.setJobName("wordcount");conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);conf.setMapperClass(Map.class);
conf.setReducerClass(Reduce.class);conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);FileInputFormat.setInputPaths(conf, new Path(args[0]));
FileOutputFormat.setOutputPath(conf, new Path(args[1]));JobClient.runJob(conf);
}
}
查看执行结果
[email protected]:~/src$ hadoop fs -cat output/part-00000
Hadoop 1
Hello 2
World 1
参考资料:
http://www.cnblogs.com/xia520pi/archive/2012/05/16/2504205.html
http://blog.csdn.net/xw13106209/article/details/6862480
http://blog.csdn.net/turkeyzhou/article/details/8121601
编译hadoop版的hello,world,布布扣,bubuko.com