never ending job in mapreduce

Question

I have set some MapReduce configuration in my main method as so

configuration.set("mapreduce.jobtracker.address", "localhost:54311");
configuration.set("mapreduce.framework.name", "yarn");
configuration.set("yarn.resourcemanager.address", "localhost:8032");

Now when I launch the mapreduce task, the process is tracked (I can see it in my cluster dashboard (the one listening on port 8088)), but the process never finishes. It remains blocked at the following line:

15/06/30 15:56:17 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/06/30 15:56:17 INFO client.RMProxy: Connecting to ResourceManager at localhost/127.0.0.1:8032
15/06/30 15:56:18 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/06/30 15:56:18 INFO input.FileInputFormat: Total input paths to process : 1
15/06/30 15:56:18 INFO mapreduce.JobSubmitter: number of splits:1
15/06/30 15:56:18 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1435241671439_0008
15/06/30 15:56:19 INFO impl.YarnClientImpl: Submitted application application_1435241671439_0008
15/06/30 15:56:19 INFO mapreduce.Job: The url to track the job: http://10.0.0.10:8088/proxy/application_1435241671439_0008/
15/06/30 15:56:19 INFO mapreduce.Job: Running job: job_1435241671439_0008

Someone has an idea?

Edit : in my yarn nodemanager log, I have this message

org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl: Event EventType: KILL_CONTAINER sent to absent container container_1435241671439_0003_03_000001
2015-06-30 15:44:38,396 WARN org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl: Event EventType: KILL_CONTAINER sent to absent container container_1435241671439_0002_04_000001

Edit 2 :

I also have in the yarn manager log, some exception that happened sooner (for a precedent mapreduce call) :

org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.net.BindException: Problem binding to [0.0.0.0:8040] java.net.BindException: Address already in use; For more details see: 

Solution : I killed all the daemon processes and restarted again hadoop ! In fact, when I ran jps , I was still getting hadoop daemons though I had stopped them. This was a mismatch of HADOOP_PID_DIR

Answer 1

The default port of nodemanage of yarn is 8040. The error says that the port is already in use. Stop all the hadoop process, if you dont have data, may be format namenode once and try running the job again. From both of your edits, the issue is surely with node manager

Answer 2

Solution : I killed all the daemon processes and restarted again hadoop ! In fact, when I ran jps , I was still getting hadoop daemons though I had stopped them. This was related to a mismatch of HADOOP_PID_DIR