解决Exception: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z 等一系列问题

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本文详细记录了在Windows环境下使用Eclipse调试Hadoop2代码过程中遇到的一系列问题及其解决方案，包括配置插件、解决NullPointerException异常、权限问题等。

一．简介

Windows下的 Eclipse上调试Hadoop2代码，所以我们在windows下的Eclipse配置hadoop-eclipse-plugin-2.6.0.jar插件，并在运行Hadoop代码时出现了一系列的问题，搞了好几天终于能运行起代码。接下来我们来看看问题并怎么解决，提供给跟我同样遇到的问题作为参考。

Hadoop2的WordCount.java统计代码如下：

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<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();
    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]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
}

问题一.An internal error occurred during: "Map/Reducelocation status updater".java.lang.NullPointerException

我们hadoop-eclipse-plugin-2.6.0.jar放到Eclipse的plugins目录下，我们的Eclipse目录是F:\tool\eclipse-jee-juno-SR2\eclipse-jee-juno-SR2\plugins，重启一下Eclipse，然后，打开Window-->Preferens，可以看到Hadoop Map/Reduc选项，然后点击出现了An internal error occurredduring: "Map/Reduce location status updater".java.lang.NullPointerException，如图所示：

解决：

我们发现刚配置部署的Hadoop2还没创建输入和输出目录，先在hdfs上建个文件夹。

#bin/hdfs dfs -mkdir –p /user/root/input

#bin/hdfs dfs -mkdir -p /user/root/output

我们在Eclipse的DFS Locations目录下看到我们这两个目录，如图所示：

问题二.Exception in thread "main" java.lang.NullPointerException atjava.lang.ProcessBuilder.start(Unknown Source)

运行Hadoop2的WordCount.java代码时出现了这样错误，

  log4j:WARNPlease initialize the log4j system properly.
log4j:WARN Seehttp://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Exception in thread "main" java.lang.NullPointerException
       atjava.lang.ProcessBuilder.start(Unknown Source)
       atorg.apache.hadoop.util.Shell.runCommand(Shell.java:482)
       atorg.apache.hadoop.util.Shell.run(Shell.java:455)
       atorg.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
       atorg.apache.hadoop.util.Shell.execCommand(Shell.java:808)
       atorg.apache.hadoop.util.Shell.execCommand(Shell.java:791)
       at

分析：

下载Hadoop2以上版本时，在Hadoop2的bin目录下没有winutils.exe

解决：

1.下载https://codeload.github.com/srccodes/hadoop-common-2.2.0-bin/zip/master下载hadoop-common-2.2.0-bin-master.zip，然后解压后，把hadoop-common-2.2.0-bin-master下的bin全部复制放到我们下载的Hadoop2的binHadoop2/bin目录下。如图所示：

2.Eclipse-》window-》Preferences 下的Hadoop Map/Peduce 把下载放在我们的磁盘的Hadoop目录引进来，如图所示：

3.Hadoop2配置变量环境HADOOP_HOME 和path，如图所示：

问题三.Exception in thread "main"java.lang.UnsatisfiedLinkError:org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z

当我们解决了问题三时，在运行WordCount.java代码时，出现这样的问题

log4j:WARN No appenders could be found forlogger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4jsystem properly.
log4j:WARN Seehttp://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Exception in thread "main"java.lang.UnsatisfiedLinkError:org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
       atorg.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method)
       atorg.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:557)
       atorg.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:977)
       atorg.apache.hadoop.util.DiskChecker.checkAccessByFileMethods(DiskChecker.java:187)
       atorg.apache.hadoop.util.DiskChecker.checkDirAccess(DiskChecker.java:174)
       atorg.apache.hadoop.util.DiskChecker.checkDir(DiskChecker.java:108)
       atorg.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.confChanged(LocalDirAllocator.java:285)
       atorg.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java:344)
       atorg.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:150)
       atorg.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:131)
       atorg.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:115)
       atorg.apache.hadoop.mapred.LocalDistributedCacheManager.setup(LocalDistributedCacheManager.java:131)

分析：

C:\Windows\System32下缺少hadoop.dll,把这个文件拷贝到C:\Windows\System32下面即可。

解决：

hadoop-common-2.2.0-bin-master下的bin的hadoop.dll放到C:\Windows\System32下，然后重启电脑，也许还没那么简单，还是出现这样的问题。

我们在继续分析：

我们在出现错误的的atorg.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:557)我们来看这个类NativeIO的557行，如图所示：

Windows的唯一方法用于检查当前进程的请求，在给定的路径的访问权限，所以我们先给以能进行访问，我们自己先修改源代码，return true 时允许访问。我们下载对应hadoop源代码，hadoop-2.6.0-src.tar.gz解压，hadoop-2.6.0-src\hadoop-common-project\hadoop-common\src\main\java\org\apache\hadoop\io\nativeio下NativeIO.java 复制到对应的Eclipse的project，然后修改557行为return true如图所示：

问题四：org.apache.hadoop.security.AccessControlException: Permissiondenied: user=zhengcy, access=WRITE,inode="/user/root/output":root:supergroup:drwxr-xr-x

我们在执行运行WordCount.java代码时，出现这样的问题

2014-12-18 16:03:24,092  WARN (org.apache.hadoop.mapred.LocalJobRunner:560) - job_local374172562_0001
org.apache.hadoop.security.AccessControlException: Permission denied: user=zhengcy, access=WRITE, inode="/user/root/output":root:supergroup:drwxr-xr-x
	at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkFsPermission(FSPermissionChecker.java:271)
	at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:257)
	at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:238)
	at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:179)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6512)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6494)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6446)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4248)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4218)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4191)
	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:813)

分析：

我们没权限访问output目录。

解决：

我们在设置hdfs配置的目录是在hdfs-site.xml配置hdfs文件存放的地方，我在hadoop伪分布式部署那边有介绍过，我们在这边在复习一下，如图所示：

我们在这个etc/hadoop下的hdfs-site.xml添加

<name>dfs.permissions</name>
<value>false</value>
</property>

设置没有权限，不过我们在正式的服务器上不能这样设置。

问题五：File/usr/root/input/file01._COPYING_ could only be replicated to 0 nodes instead ofminRepLication (=1) There are 0 datanode(s) running and no node(s) are excludedin this operation

如图所示：