Hadoop eclipse插件安装和在eclipse运行wordcount程序

来源:互联网 发布:淘宝店家温馨小纸条 编辑:程序博客网 时间:2024/05/19 16:23

   一、插件下载点击打开链接

    

   二、插件配置参考:插件配置

     三、WordCount程序代码

package com.Threetop.www;import java.io.IOException;import java.util.StringTokenizer;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.fs.Path;import org.apache.hadoop.io.IntWritable;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.GenericOptionsParser;public class WordCount {//mapper函数public 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);   }  }  }//reduce函数public 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);  }  }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(otherArgs.length);    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.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, new Path(otherArgs[1]));   System.exit(job.waitForCompletion(true) ? 0 : 1);}}

        四、运行配置: 

   

   四、运行结果

    



阅读全文
0 0