windows Eclipse远程连接linux hadoop2.3.0伪分布式

系统：win7 32位 Eclipse-luna

hadoop：centos hadoop2.3.0伪分布式

程序为hadoop2.3.0中的wordcount源码

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[] 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]));

// FileInputFormat.addInputPath(job, new Path("/test_in"));

// FileOutputFormat.setOutputPath(job, new Path("/out1"));

System.exit(job.waitForCompletion(true) ? 0 : 1);

}

}

hdfs上传文件正常，但是运行该程序出现错误：

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:1012)

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:631)

at org.apache.hadoop.fs.RawLocalFileSystem.mkdirs(RawLocalFileSystem.java:421)

at org.apache.hadoop.fs.FilterFileSystem.mkdirs(FilterFileSystem.java:277)

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:422)

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 WordCount.main(WordCount.java:66)

66行为程序的最后一句。

我的win7是32位，在网上下载32位的winutils.exe和hadoop.dll放到hadoop的bin文件夹下，并将hadoop.dll放到C:/Windows/System32下，并配置了win7下的HADOOP_HOME和指向bin的PATH。仍然报错：

log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).

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" org.apache.hadoop.util.Shell$ExitCodeException:

at org.apache.hadoop.util.Shell.runCommand(Shell.java:505)

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:631)

at org.apache.hadoop.fs.RawLocalFileSystem.mkdirs(RawLocalFileSystem.java:421)

at org.apache.hadoop.fs.FilterFileSystem.mkdirs(FilterFileSystem.java:277)

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:422)

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 WordCount.main(WordCount.java:66)

在cmd里输入winutils.exe回车，提示系统缺少MSVCR100D.dll，在网上下载该dll，放在C:\Windows\System32中。

问题解决！！！（若还不能解决，再重启电脑试试看）

折腾了好久，看到不报错时候，简直泪奔