Java – Unable to load libraries from Distributed Cache Hadoop

I’m doing this :

DistributedCache.createSymlink(job.getConfiguration()); 
DistributedCache.addCacheFile(new URI   
("hdfs:/user/hadoop/harsh/libnative1.so"),job.getConfiguration()); 

In the mapper:

System.loadLibrary("libnative1.so");

(I tried it too.)
System.loadLibrary(“libnative1”);
System.loadLibrary(“native1”);

But I got this error :

java.lang.UnsatisfiedLinkError: no libnative1.so in java.library.path

I

had absolutely no idea that I should set java.library.path to:
I tried setting it to /home and copying each .so from the distributed cache to /home/ but it still doesn’t work 🙁

Any suggestions/solutions?

Use the Hadoop ToolRunner interface; This will enable you to add the shared library to the distributed cache via command-line arguments and set the Java library path correctly on the task node before the mapper starts. This is how I set up the mapper to use the shared library :

Have the job class (which contains the main() method) implement the org.apache.hadoop.util.Tool interface. Like this:

public class Job extends Configured implements Tool {

@Override
  public int run(String[] args) throws Exception {
    /* create the Hadoop Job here */
  }

public static void main(String[] args) {
    int ret;
    try {
      ret = ToolRunner.run(new Job(), args);
    } catch (Exception e) {
      e.printStackTrace();
      ret = -1;
    }
    System.exit(ret);
  }
}

When you run a Hadoop job, provide all shared libraries (local copies) as command-line arguments. Make sure to list the actual files as well (if these are symbolic links). Before starting the job, Hadoop copies all files given in the -files parameter to the distributed cache.

hadoop jar Job.jar -files libnative1.so,libnative1.so.0,libnative1.so.0.1

Mapper does not require any special calls to set up java.library.path; it is handled by Hadoop.