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
  • Fwd: abhiTowson cal
    • Re: Harsh J
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          • Re: Anil Gupta
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