Reputation: 31
I am trying to simulate the Hadoop environment using latest Hadoop version 2.6.0, Java SDK 1.70 on my Ubuntu desktop. I configured the hadoop with necessary environment parameters and all its processes are up and running and they can be seen with the following jps command:
nandu@nandu-Desktop:~$ jps 2810 NameNode 3149 SecondaryNameNode 3416 NodeManager 3292 ResourceManager 2966 DataNode 4805 Jps
I could also see the above information, plus the dfs files through the Firefox browser. However, when I tried to run a simple WordCound MapReduce job, it hangs and it doesn't produce any output or shows any error message(s). After a while I killed the process using the "hadoop job -kill " command. Can you please guide me, to find the cause of this issue and how to resolve it? I am giving below the Job start and kill(end) screenshot.
If you need additional information, please let me know.
Your help will be highly appreciated.
Thanks,
=================================================================== nandu@nandu-Desktop:~/dev$ hadoop jar wc.jar WordCount /user/nandu/input /user/nandu/output 15/02/27 10:35:20 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 15/02/27 10:35:20 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032 15/02/27 10:35:21 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 15/02/27 10:35:21 INFO input.FileInputFormat: Total input paths to process : 2 15/02/27 10:35:21 INFO mapreduce.JobSubmitter: number of splits:2 15/02/27 10:35:22 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1425048764581_0003 15/02/27 10:35:22 INFO impl.YarnClientImpl: Submitted application application_1425048764581_0003 15/02/27 10:35:22 INFO mapreduce.Job: The url to track the job: http://nandu-Desktop:8088/proxy/application_1425048764581_0003/ 15/02/27 10:35:22 INFO mapreduce.Job: Running job: job_1425048764581_0003 ==================== at this point the job was killed =================== 15/02/27 10:38:23 INFO mapreduce.Job: Job job_1425048764581_0003 running in uber mode : false 15/02/27 10:38:23 INFO mapreduce.Job: map 0% reduce 0% 15/02/27 10:38:23 INFO mapreduce.Job: Job job_1425048764581_0003 failed with state KILLED due to: Application killed by user. 15/02/27 10:38:23 INFO mapreduce.Job: Counters: 0
Upvotes: 3
Views: 2645
Reputation: 516
I encountered similar problem while running provided MapReduce
sample in hadoop package. In my case it was hanging due to low disk space on my VM (about 1.5 GB was empty). When I freed some disk space it ran pretty fine. Also, please check other system resource requirements are fulfilled.
Upvotes: 3