eclipse Run on Hadoop java.lang.NullPointerException

[念来过倒蛋笨]

Hadoop版本：2.4.0
Hadoop运行环境：Ubuntu14.04
Eclipse运行环境：Win7
使用Eclipse链接Hadoop成功，已能成功向HDFS上传文件夹和文件，但是在运行WordCount（使用自带的代码）时 Run as->Run on Hadoop，没有提示选择server直接报错：
log4j:WARN No appenders could be found for logger (org.apache.hadoop.util.Shell).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Exception in thread "main" java.lang.NullPointerException
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1010)
at org.apache.hadoop.util.Shell.runCommand(Shell.java:445)
at org.apache.hadoop.util.Shell.run(Shell.java:418)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:739)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:722)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:633)
at org.apache.hadoop.fs.RawLocalFileSystem.mkdirs(RawLocalFileSystem.java:421)
at org.apache.hadoop.fs.FilterFileSystem.mkdirs(FilterFileSystem.java:281)
at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:125)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:348)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1285)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1282)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1282)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1303)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:68)

WordCount代码：

package org.apache.hadoop.examples;

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 {

	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);
			}
		}
	}

	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[] names = new String[] { "input", "output" };
		String[] otherArgs = new GenericOptionsParser(conf, names)
				.getRemainingArgs();
		if (otherArgs.length != 2) {
			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);
	}
}

哪位高手能帮帮忙...

[念来过倒蛋笨]

是在Win下的那个，Eclipse不是要配置Hadoop installation directory，就放在Win下的Hadoop里面

[念来过倒蛋笨]

引用 2 楼 iyarcxy123 的回复:

[quote=引用 1 楼 z363115269 的回复:] 我已经解决了，在Hadoop的bin目录下放winutils.exe，在环境变量中配置 HADOOP_HOME，把hadoop.dll拷贝到C:\Windows\System32下面即可

我的hadoop2.2是在linux下，现在通过eclipse编写mapreduce类运行也报这个错，你说的winutils.exe这个文件放到hadoop的bin下什么意思？是放到linux下hadoop的bin下吗？[/quote] 是在Win下的那个，Eclipse不是要配置Hadoop installation directory，就放在Win下的Hadoop里面

[zhu82722873]

论坛上一群猪，还装大神。水平高的谁有空玩这个啊！

[念来过倒蛋笨]

我已经解决了，在Hadoop的bin目录下放winutils.exe，在环境变量中配置 HADOOP_HOME，把hadoop.dll拷贝到C:\Windows\System32下面即可

[iyarcxy123]

引用 1 楼 z363115269 的回复:

我已经解决了，在Hadoop的bin目录下放winutils.exe，在环境变量中配置 HADOOP_HOME，把hadoop.dll拷贝到C:\Windows\System32下面即可

我的hadoop2.2是在linux下，现在通过eclipse编写mapreduce类运行也报这个错，你说的winutils.exe这个文件放到hadoop的bin下什么意思？是放到linux下hadoop的bin下吗？

[shijiebei2009]

看着这群人，我也是无语了，那是win上的配置，你linux不需要的。

[Sixian_Go]

linux上出现这种问题怎么解决？单表联合，希望能给予解答，谢谢