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Authentication issue on Hadoop 2.2.0
Hi everyone,

I'm working with a single node cluster and a Hadoop Pipes job that throws
the following exception on execution:

13/12/18 10:44:55 INFO mapreduce.Job: Running job: job_1387359324416_0002
13/12/18 10:45:03 INFO mapreduce.Job: Job job_1387359324416_0002 running in
uber mode : false
13/12/18 10:45:03 INFO mapreduce.Job: map 0% reduce 0%
13/12/18 10:45:08 INFO mapreduce.Job: Task Id :
attempt_1387359324416_0002_m_000000_0, Status : FAILED
Error: java.io.IOException
at org.apache.hadoop.mapred.pipes.Application.<init>(Application.java:150)
at org.apache.hadoop.mapred.pipes.PipesMapRunner.run(PipesMapRunner.java:69)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:171)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:166)

/// same exception several times ///

13/12/18 10:45:25 INFO mapreduce.Job: map 93% reduce 0%
13/12/18 10:45:26 INFO mapreduce.Job: map 100% reduce 100%
13/12/18 10:45:26 INFO mapreduce.Job: Job job_1387359324416_0002 failed
with state FAILED due to: Task failed task_1387359324416_0002_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0
I don't really get why the job is at 100% if it actually failed by the way.

Any ideas? Thanks in advance!