Hadoop 实践（二） Mapreduce 编程

标签：mappreduce 编程 部署运行

Mapreduce 编程，本文以WordCount  为例：实现文件字符统计

    在eclipse 里面搭建一个java项目，引入hadoop lib目录下的jar，和 hadoop主目录下的jar。

    新建WordCount 类：

package org.scf.wordcount;

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.setCombinerClass(Reduce.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);

   }

}

2.编译，运行该类

 cd /home/Hadoop/

mkdir wordcount_classes

javac -classpath /usr/hadoop-1.0.4/hadoop-core-1.0.4.jar -d /home/Hadoop/wordcount_classes WordCount.java

 jar -cvf /home/Hadoop/wordcount.jar -C /home/Hadoop/wordcount_classes/ .

 hadoop dfs -put /home/Hadoop/test.txt  /user/root/wordcount/input/file2

 hadoop dfs -put /home/Hadoop/test1.txt  /user/root/wordcount/input/file3

 hadoop jar /home/Hadoop/wordcount.jar org.scf.wordcount.WordCount /user/root/wordcount/input /user/root/wordcount/output

hadoop dfs -ls /user/root/wordcount/output

 hadoop dfs -cat /user/root/wordcount/output/part-00000

Hadoop 实践（二） Mapreduce 编程

标签：mappreduce 编程 部署运行

原文地址：http://luzhishen.blog.51cto.com/1813539/1652082