Mac下报错'WARN security.UserGroupInformation: PriviledgedActionException as：用户名...No such file or directory'的一种解决方法

Mac下使用IDEA远程连接Hadoop调试MapReduce程序，参考网上博客，总会出现如题报错，下面是我在mac下的一种解决办法，可以参考。

前期准备

如果想远程调试，需要做一些准备工作，简单罗列下。

（1）在本地准备一份了hadoop(有博主直接从集群中copy一份)，设置环境变量。

# hadoop路径为具体路径
export HADOOP_HOME=/Users/yangchaolin/hadoop2.6.0/hadoop-2.6.0-cdh5.14.0

（2）IDEA工程下，将本地hadoop中share文件下的资源jar包都引入到项目中。

（3） 准备MapReduce程序，并创建一个application，这个application使用的工作目录就使用本地hadoop。

map端程序

 1 package com.kaikeba.mapreduce;
 2 
 3 import org.apache.hadoop.io.IntWritable;
 4 import org.apache.hadoop.io.LongWritable;
 5 import org.apache.hadoop.io.Text;
 6 import org.apache.hadoop.mapreduce.Mapper;
 7 
 8 import java.io.IOException;
 9 
10 /**
11  * mapreduce's map
12  */
13 public class WordCountMap extends Mapper<LongWritable, Text,Text, IntWritable> {
14     //most application should override map method
15     @Override
16     protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
17         //split
18         String readLine = value.toString();
19         String[] words = readLine.split(" ");
20         //words output to disk
21         for(String word:words){
22             context.write(new Text(word),new IntWritable(1));
23         }
24     }
25 }
View Code

reduce端程序

 1 package com.kaikeba.mapreduce;
 2 
 3 import org.apache.hadoop.io.IntWritable;
 4 import org.apache.hadoop.io.Text;
 5 import org.apache.hadoop.mapreduce.Reducer;
 6 
 7 import java.io.IOException;
 8 
 9 /**
10  * mapreduce's reduce
11  */
12 public class WordCountReduce extends Reducer<Text, IntWritable,Text,IntWritable> {
13     //should override reduce method
14     @Override
15     protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
16         //count words count
17         int count=0;
18         for(IntWritable i:values){
19             count+=i.get();
20         }
21         //output key value to hdfs
22         context.write(key,new IntWritable(count));
23     }
24 }
View Code

main函数

 1 package com.kaikeba.mapreduce;
 2 
 3 import org.apache.hadoop.conf.Configuration;
 4 import org.apache.hadoop.fs.Path;
 5 import org.apache.hadoop.io.IntWritable;
 6 import org.apache.hadoop.io.Text;
 7 import org.apache.hadoop.mapreduce.Job;
 8 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 9 import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
10 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
11 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
12 
13 import java.io.IOException;
14 
15 /**
16  * mapreduce's main method, 'WordCountMain' is mapreduce's job name
17  */
18 public class WordCountMain {
19     public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
20         //check args,args is input path and output path
21         if(args==null||args.length!=2){
22             System.out.println("please input path");
23             System.exit(0);//exit main method
24         }
25         //create mapreduce job
26         Configuration conf=new Configuration();
27         //if run mapreduce in cluster,set conf and mapred-site should set yarn
28         //conf.set("mapreduce.job.jar","/home/hadoop/IdeaProject/hadoop/target/hadoop-1.0-SNAPSHOT.jar");
29         //conf.set("mapreduce.app-submission.cross-platform","true");
30         //conf.set("mapreduce.framework.name","yarn");
31 
32         /**
33          * Creates a new Job with no particular Cluster and a given jobName.
34          * A Cluster will be created from the conf parameter only when it's needed
35          */
36         Job job=Job.getInstance(conf,WordCountMain.class.getSimpleName());//get class simplename
37         //set mapreduce job
38         job.setJarByClass(WordCountMain.class);//Set the Jar by finding where a given class came from
39         //set input/output format
40         job.setInputFormatClass(TextInputFormat.class);
41         job.setOutputFormatClass(TextOutputFormat.class);
42         //set input/output path
43         FileInputFormat.setInputPaths(job,new Path(args[0]));
44         FileOutputFormat.setOutputPath(job,new Path(args[1]));
45         //set map/reduce class
46         job.setMapperClass(WordCountMap.class);
47         job.setReducerClass(WordCountReduce.class);
48         //add combine class
49         job.setCombinerClass(WordCountReduce.class);
50         //set map/reduce output key-value type
51         //map
52         job.setMapOutputKeyClass(Text.class);
53         job.setMapOutputValueClass(IntWritable.class);
54         //reduce
55         job.setOutputKeyClass(Text.class);
56         job.setOutputValueClass(IntWritable.class);
57         //set job number ---> 4 reduce task
58         job.setNumReduceTasks(4);
59         //job commit
60         try{
61             job.waitForCompletion(true);
62         }catch(Exception e){
63             e.printStackTrace();
64         }
65     }
66 }
View Code

其他资源文件内容省略，因为本文报错跟资源配置文件没有关系。

程序使用maven打成jar包，使用hadoop jar 类的全路径名 输入路径 输出路径的命令在linux下执行是没有问题，具体过程省略。

报错解决

接下来使用IDEA远程调试hadoop，配置好上文创建的application后，发现执行会报如下错误，说找不到路径或目录。 

 1 19/10/14 00:53:02 WARN security.UserGroupInformation: PriviledgedActionException as:yangchaolin (auth:SIMPLE) cause:ExitCodeException exitCode=1: chmod: /kkb/install/hadoop-2.6.0-cdh5.14.2/hadoopDatas/tempDatas/mapred/staging/yangchaolin90307621/.staging/job_local90307621_0001: No such file or directory
 2 
 3 Exception in thread "main" ExitCodeException exitCode=1: chmod: /kkb/install/hadoop-2.6.0-cdh5.14.2/hadoopDatas/tempDatas/mapred/staging/yangchaolin90307621/.staging/job_local90307621_0001: No such file or directory
 4 
 5     at org.apache.hadoop.util.Shell.runCommand(Shell.java:604)
 6     at org.apache.hadoop.util.Shell.run(Shell.java:507)
 7     at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:789)
 8     at org.apache.hadoop.util.Shell.execCommand(Shell.java:882)
 9     at org.apache.hadoop.util.Shell.execCommand(Shell.java:865)
10     at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:720)
11     at org.apache.hadoop.fs.ChecksumFileSystem$1.apply(ChecksumFileSystem.java:498)
12     at org.apache.hadoop.fs.ChecksumFileSystem$FsOperation.run(ChecksumFileSystem.java:479)
13     at org.apache.hadoop.fs.ChecksumFileSystem.setPermission(ChecksumFileSystem.java:495)
14     at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:616)
15     at org.apache.hadoop.mapred.JobClient.copyAndConfigureFiles(JobClient.java:814)
16     at org.apache.hadoop.mapred.JobClient.copyAndConfigureFiles(JobClient.java:774)
17     at org.apache.hadoop.mapred.JobClient.access$400(JobClient.java:178)
18     at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:991)
19     at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:976)
20     at java.security.AccessController.doPrivileged(Native Method)
21     at javax.security.auth.Subject.doAs(Subject.java:422)
22     at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1920)
23     at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:976)
24     at org.apache.hadoop.mapreduce.Job.submit(Job.java:582)
25     at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:612)
26     at com.kaikeba.mapreduce.WordCountMain.main(WordCountMain.java:60)
27 
28 Process finished with exit code 1

（1）尝试将集群中hadoop安装目录权限修改为777，继续测试，依然报错。

（2）根据报错说找不到目录，参考使用window本的童鞋，发现他们会在磁盘下自动创建一个目录（这个目录是在资源配置文件中指定的），查看我的mac发现并没有这个目录，尝试在mac的根目录下创建主目录，并赋予777权限，再次执行竟然通过了！！！怀疑跟mac下用户的权限有关系，因为window下一般用户都是管理员，而mac不是。

# 进入根目录
youngchaolinMac:/ yangchaolin$ cd /
# 创建主目录
youngchaolinMac:/ yangchaolin$ sudo mkdir kkb
Password:
youngchaolinMac:/ yangchaolin$ ls -l
total 45...
drwxr-xr-x   2 root         wheel    68 10 23 22:52 kkb
# 赋予777权限
youngchaolinMac:/ yangchaolin$ sudo chmod -R 777 kkb
youngchaolinMac:/ yangchaolin$ ls -l
total 45...
drwxrwxrwx   2 root         wheel    68 10 23 22:52 kkb

IDEA执行通过，完成MapReduce任务。

集群中查看计算结果，ok。

 网上查了很多博客，有这个报警的各种解决方法，但是很多是window下。如果是mac，可参考本文，这可能是这个报错的一种解决方法。

参考博文：

（1）https://www.cnblogs.com/yjmyzz/p/how-to-remote-debug-hadoop-with-eclipse-and-intellij-idea.html

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原文地址：https://www.cnblogs.com/youngchaolin/p/11730110.html