运行wordcount程序报 Input path does not exist 错

在Windows上部署了hadoop，在执行官网给出的wordcount程序是遇到一下报错，

Exception in thread "main" org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/input
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:323)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:265)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:387)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:301)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:318)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:196)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Unknown Source)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1746)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308)
at WordCount.main(WordCount.java:61)

搜了下，网上主要说是程序在本地文件系统查找输入目录，没有到HDFS中查找目录，配置如下：

Configuration conf = new Configuration();
conf.addResource(new Path("D:/hadoop-2.7.4/etc/hadoop/core-site.xml")); 
conf.addResource(new Path("D:/hadoop-2.7.4/etc/hadoop/hdfs-site.xml"));

一下是在官网wordcount程序上经过修改可以在eclipse中执行的程序。

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;


public class WordCount {


  public static class TokenizerMapper
       extends Mapper{


    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);
      }
    }
  }


  public static class IntSumReducer
       extends Reducer {
    private IntWritable result = new IntWritable();


    public void reduce(Text key, Iterable 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();
    conf.addResource(new Path("D:/hadoop-2.7.4/etc/hadoop/core-site.xml"));
    conf.addResource(new Path("D:/hadoop-2.7.4/etc/hadoop/hdfs-site.xml"));
    Job job = Job.getInstance(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(args[0]));
    FileInputFormat.addInputPath(job, new Path("/input"));
//    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    FileOutputFormat.setOutputPath(job, new Path("/output"));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
}

执行结果如下：