I am new to hadoop. I have kbberos security enabled hasoop cluster (master and 1 slave) configured on a virtual box. I am trying to run a task from the pi examples. The job fails with Exceeded MAX_FAILED_UNIQUE_FETCHES. I tried to find this error, but the solutions provided on the Internet do not seem to work for me. Perhaps I missed something obvious. I even tried to remove the slave from the etc / hadoop / slaves file to find out if the job can only work on the host computer, but this is also not with the same error. The following is a log. I run this on a 64-bit Ubuntu 14.04 virtual box. Any help was appreciated.
montauk@montauk-vmaster:/usr/local/hadoop$ sudo -u yarn bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4.0.jar pi 2 10
Number of Maps = 2
Samples per Map = 10
OpenJDK 64-Bit Server VM warning: You have loaded library /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now.
It highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'.
14/06/05 12:04:43 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Wrote input for Map
Wrote input for Map
Starting Job
14/06/05 12:04:49 INFO client.RMProxy: Connecting to ResourceManager at /192.168.0.29:8040
14/06/05 12:04:50 INFO hdfs.DFSClient: Created HDFS_DELEGATION_TOKEN token 17 for yarn on 192.168.0.29:54310
14/06/05 12:04:50 INFO security.TokenCache: Got dt for hdfs://192.168.0.29:54310; Kind: HDFS_DELEGATION_TOKEN, Service: 192.168.0.29:54310, Ident: (HDFS_DELEGATION_TOKEN token 17 for yarn)
14/06/05 12:04:50 INFO input.FileInputFormat: Total input paths to process : 2
14/06/05 12:04:51 INFO mapreduce.JobSubmitter: number of splits:2
14/06/05 12:04:51 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1401975262053_0007
14/06/05 12:04:51 INFO mapreduce.JobSubmitter: Kind: HDFS_DELEGATION_TOKEN, Service: 192.168.0.29:54310, Ident: (HDFS_DELEGATION_TOKEN token 17 for yarn)
14/06/05 12:04:53 INFO impl.YarnClientImpl: Submitted application application_1401975262053_0007
14/06/05 12:04:53 INFO mapreduce.Job: The url to track the job: http://montauk-vmaster:8088/proxy/application_1401975262053_0007/
14/06/05 12:04:53 INFO mapreduce.Job: Running job: job_1401975262053_0007
14/06/05 12:05:29 INFO mapreduce.Job: Job job_1401975262053_0007 running in uber mode : false
14/06/05 12:05:29 INFO mapreduce.Job: map 0% reduce 0%
14/06/05 12:06:04 INFO mapreduce.Job: map 50% reduce 0%
14/06/05 12:06:06 INFO mapreduce.Job: map 100% reduce 0%
14/06/05 12:06:34 INFO mapreduce.Job: map 100% reduce 100%
14/06/05 12:06:34 INFO mapreduce.Job: Task Id : attempt_1401975262053_0007_r_000000_0, Status : FAILED
Error: org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher
at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162)
Caused by: java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
at org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth(ShuffleSchedulerImpl.java:323)
at org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.copyFailed(ShuffleSchedulerImpl.java:245)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:347)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:165)