Are you using cdh4? In you cluster are you using yarn or mr1? Check the classpath of Hadoop by Hadoop classpath command.
Best Regards, Anil On Jul 29, 2012, at 12:12 PM, abhiTowson cal <abhishek.dod...@gmail.com> wrote: > HI Anil, > > I have already tried this,but issue could not be resolved. > > Regards > Abhishek > > On Sun, Jul 29, 2012 at 3:05 PM, anil gupta <anilgupt...@gmail.com> wrote: >> Hi Abhishek, >> >> Once you make sure that whatever Harsh said in the previous email is >> present in the cluster and then also the job runs in Local Mode. Then try >> running the job with hadoop --config option. >> Refer to this discussion for more detail: >> https://groups.google.com/a/cloudera.org/forum/#!topic/cdh-user/4tMGfvJFzrg >> >> HTH, >> Anil >> >> On Sun, Jul 29, 2012 at 11:43 AM, Harsh J <ha...@cloudera.com> wrote: >> >>> For a job to get submitted to a cluster, you will need proper client >>> configurations. Have you configured your mapred-site.xml and >>> yarn-site.xml properly inside /etc/hadoop/conf/mapred-site.xml and >>> /etc/hadoop/conf/yarn-site.xml at the client node? >>> >>> On Mon, Jul 30, 2012 at 12:00 AM, abhiTowson cal >>> <abhishek.dod...@gmail.com> wrote: >>>> Hi All, >>>> >>>> I am getting problem that job is running in localrunner rather than >>>> the cluster enviormnent. >>>> And when am running the job i would not be able to see the job id in >>>> the resource manager UI >>>> >>>> Can you please go through the issues and let me know ASAP. >>>> >>>> sudo -u hdfs hadoop jar >>>> /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar teragen >>>> 1000000 /benchmark/teragen/input >>>> 12/07/29 13:35:59 WARN conf.Configuration: session.id is deprecated. >>>> Instead, use dfs.metrics.session-id >>>> 12/07/29 13:35:59 INFO jvm.JvmMetrics: Initializing JVM Metrics with >>>> processName=JobTracker, sessionId= >>>> 12/07/29 13:35:59 INFO util.NativeCodeLoader: Loaded the native-hadoop >>> library >>>> 12/07/29 13:35:59 WARN mapred.JobClient: Use GenericOptionsParser for >>>> parsing the arguments. Applications should implement Tool for the >>>> same. >>>> Generating 1000000 using 1 maps with step of 1000000 >>>> 12/07/29 13:35:59 INFO mapred.JobClient: Running job: job_local_0001 >>>> 12/07/29 13:35:59 INFO mapred.LocalJobRunner: OutputCommitter set in >>> config null >>>> 12/07/29 13:35:59 INFO mapred.LocalJobRunner: OutputCommitter is >>>> org.apache.hadoop.mapred.FileOutputCommitter >>>> 12/07/29 13:35:59 WARN mapreduce.Counters: Group >>>> org.apache.hadoop.mapred.Task$Counter is deprecated. Use >>>> org.apache.hadoop.mapreduce.TaskCounter instead >>>> 12/07/29 13:35:59 INFO util.ProcessTree: setsid exited with exit code 0 >>>> 12/07/29 13:35:59 INFO mapred.Task: Using ResourceCalculatorPlugin : >>>> org.apache.hadoop.util.LinuxResourceCalculatorPlugin@47c297a3 >>>> 12/07/29 13:36:00 WARN mapreduce.Counters: Counter name >>>> MAP_INPUT_BYTES is deprecated. Use FileInputFormatCounters as group >>>> name and BYTES_READ as counter name instead >>>> 12/07/29 13:36:00 INFO mapred.MapTask: numReduceTasks: 0 >>>> 12/07/29 13:36:00 INFO mapred.JobClient: map 0% reduce 0% >>>> 12/07/29 13:36:01 INFO mapred.Task: Task:attempt_local_0001_m_000000_0 >>>> is done. And is in the process of commiting >>>> 12/07/29 13:36:01 INFO mapred.LocalJobRunner: >>>> 12/07/29 13:36:01 INFO mapred.Task: Task attempt_local_0001_m_000000_0 >>>> is allowed to commit now >>>> 12/07/29 13:36:01 INFO mapred.FileOutputCommitter: Saved output of >>>> task 'attempt_local_0001_m_000000_0' to >>>> hdfs://hadoop-master-1/benchmark/teragen/input >>>> 12/07/29 13:36:01 INFO mapred.LocalJobRunner: >>>> 12/07/29 13:36:01 INFO mapred.Task: Task 'attempt_local_0001_m_000000_0' >>> done. >>>> 12/07/29 13:36:02 INFO mapred.JobClient: map 100% reduce 0% >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Job complete: job_local_0001 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Counters: 19 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: File System Counters >>>> 12/07/29 13:36:02 INFO mapred.JobClient: FILE: Number of bytes >>> read=142686 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: FILE: Number of bytes >>>> written=220956 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: FILE: Number of read >>> operations=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: FILE: Number of large >>>> read operations=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: FILE: Number of write >>> operations=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: HDFS: Number of bytes read=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: HDFS: Number of bytes >>>> written=100000000 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: HDFS: Number of read >>> operations=1 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: HDFS: Number of large >>>> read operations=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: HDFS: Number of write >>> operations=2 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Map-Reduce Framework >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Map input records=1000000 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Map output records=1000000 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Input split bytes=82 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Spilled Records=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: CPU time spent (ms)=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Physical memory (bytes) >>> snapshot=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Virtual memory (bytes) >>> snapshot=0 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: Total committed heap >>>> usage (bytes)=124715008 >>>> 12/07/29 13:36:02 INFO mapred.JobClient: >>>> org.apache.hadoop.mapreduce.lib.input.FileInputFormatCounter >>>> >>>> Regards >>>> Abhishek >>> >>> >>> >>> -- >>> Harsh J >>> >> >> >> >> -- >> Thanks & Regards, >> Anil Gupta
