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Hadoop: Mounting HDFS on client

+2 votes

Is there a way to mount HDFS directly on a Linux and Windows client? I believe I read something about there being some limitations, but that there is possibly a FUSE solution. Any information on this (with links to a how-to) would be greatly appreciated.

posted Dec 20, 2013 by Deepankar Dubey

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2 Answers

+2 votes

Mount on Windows client is a bit different. Here are the steps to mount export on Windows:

  1. Enable NFS Client on the Windows client system.
    Step 1. Enable File Services Role. Go to Server Management – > Add Roles -> File Services
    Step 2. Install Services for Network File System. Go to File Services – > Add Role Services

  2. Mount the export, can use either mount command or "net use" command:
    c:> mount *! net use Z:!
    (there is a space between Z: and ! another important thing is ! mark, this does the trick. Withoutout !, Windows NFS client doesnt work with root export "/")

There is a user mapping issue: map Windows users to Linux users. Since NFS gateway doesnt recognize Windows users, it maps them to the Linux user "nobody".

To do any data I/O test, you can create a directory on HDFS and give everyone access permission. In reality, most administrators use Windows AD server to manage the user mapping between Windows and Linux systems so the user mapping is not an issue in those environments.

answer Dec 21, 2013 by anonymous
Thanks, I will give this a try.
Also, I see you are with Horton Works, is there a way to use the 2.0 Sandbox to map any of the vg_sandbox to another Linux box or the Windows Server I am running the Virtualbox that hosts the sandbox?
+1 vote

You can use the HDFS NFS gateway to mount HDFS. The limitation is that random write is not supported.

JIRA HDFS-5347 added a user guider.
There is the html attachment to this JIRA:
If you are using branch 2.3, 2.4 or trunk, "mvn site" will generate the user guide too.

answer Dec 21, 2013 by Satish Mishra
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public class MaxMinReducer extends Reducer {
int max_sum=0; 
int mean=0;
int count=0;
Text max_occured_key=new Text();
Text mean_key=new Text("Mean : ");
Text count_key=new Text("Count : ");
int min_sum=Integer.MAX_VALUE; 
Text min_occured_key=new Text();

 public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
       int sum = 0;           

       for (IntWritable value : values) {
             sum += value.get();

       if(sum < min_sum)
              min_sum= sum;

       if(sum > max_sum) {
           max_sum = sum;


 protected void cleanup(Context context) throws IOException, InterruptedException {
       context.write(max_occured_key, new IntWritable(max_sum));   
       context.write(min_occured_key, new IntWritable(min_sum));   
       context.write(mean_key , new IntWritable(mean));   
       context.write(count_key , new IntWritable(count));   

Here I am writing minimum,maximum and mean of wordcount.

My input file :

high low medium high low high low large small medium

Actual output is :

high - 3------maximum

low - 3--------maximum

large - 1------minimum

small - 1------minimum

but i am not getting above output ...can anyone please help me?

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