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hdfs-site.xml里添加
1 <property> 2 <name>dfs.permissions</name> 3 <value>false</value> 4 </property>
然后在虚拟机里，运行hadoop dfsadmin -safemode leave
保险起见，再来一个 hadoop fs -chmod 777 /
总而言之，就是彻底把hadoop的安全检测关掉（学习阶段不需要这些，正式生产上时，不要这么干），最后重启hadoop，再到eclipse里，重复刚才的删除文件操作试下，应该可以了。
package com.wimang.test;
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);
}
}
@SuppressWarnings("deprecation")
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("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);
}
}
出现如下图，即为运行成功。
或者在hadoop运行的虚拟机上通过敲击命令查看也可以,可以在终端中用命令如下，查看是否生成文件夹output：
bin/hadoop fs -ls
用下面命令查看生成的文件内容：
bin/hadoop fs -cat output1/*
出现如上问题，只需要下载安装vc+2013组件即可，下载地址为：http://www.microsoft.com/en-us/download/confirmation.aspx?id=40784
就是没有没有写的权限，这时候可以参考上面按照eclipse hadoop插件时有提到过解决办法。如果是安装我的这个流程走，应该不会出现这个问题。
到此，就可以在windows上进行eclipse远程开发调试ubutun上的Hadoop了。
注:本文为自用，随时更新。
windows上eclipse搭建hadoop开发环境(自用，备忘)
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原文地址：http://blog.csdn.net/osaymissyou0/article/details/51981728
