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https://issues.apache.org/jira/browse/HBASE-9533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13772585#comment-13772585
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Aleksandr Shulman commented on HBASE-9533:
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I'm +1 on the patch for 0.96 and trunk.
> List of dependency jars for MR jobs is hard-coded and does not include netty,
> breaking MRv1 jobs
> ------------------------------------------------------------------------------------------------
>
> Key: HBASE-9533
> URL: https://issues.apache.org/jira/browse/HBASE-9533
> Project: HBase
> Issue Type: Bug
> Components: mapreduce
> Affects Versions: 0.95.2, 0.96.1
> Reporter: Aleksandr Shulman
> Assignee: Matteo Bertozzi
> Priority: Blocker
> Fix For: 0.96.0
>
> Attachments: 9533.txt, 9533v3.txt,
> failed_mrv1_rowcounter_tt_taskoutput.out
>
>
> Observed behavior:
> Against trunk, using MRv1 with hadoop 1.0.4, r1393290, I am able to run MRv1
> jobs (e.g. pi 2 4).
> However, when I use it to run MR over HBase jobs, they fail with the stack
> trace below.
> From the trace, the issue seems to be that it cannot find a class that the
> netty jar contains. This would make sense, given that the dependency jars
> that we use for the MapReduce job are hard-coded, and that the netty jar is
> not one of them.
> https://github.com/apache/hbase/blob/trunk/hbase-server/src/main/java/org/apache/hadoop/hbase/mapreduce/TableMapReduceUtil.java#L519
> Strangely, this is only an issue in trunk, not 0.95, even though the code
> hasn't changed.
> Command:
> {code}/bin/hbase org.apache.hadoop.hbase.mapreduce.RowCounter
> sampletable{code}
> TT logs (attached)
> Output from console running job:
> {code}13/09/13 16:02:58 INFO mapred.JobClient: Task Id :
> attempt_201309131601_0002_m_000000_2, Status : FAILED
> java.io.IOException: Cannot create a record reader because of a previous
> error. Please look at the previous logs lines from the task's full log for
> more details.
> at
> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.createRecordReader(TableInputFormatBase.java:119)
> at
> org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.<init>(MapTask.java:489)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:731)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149)
> at org.apache.hadoop.mapred.Child.main(Child.java:249)
> 13/09/13 16:03:09 INFO mapred.JobClient: Job complete: job_201309131601_0002
> 13/09/13 16:03:09 INFO mapred.JobClient: Counters: 7
> 13/09/13 16:03:09 INFO mapred.JobClient: Job Counters
> 13/09/13 16:03:09 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=29913
> 13/09/13 16:03:09 INFO mapred.JobClient: Total time spent by all reduces
> waiting after reserving slots (ms)=0
> 13/09/13 16:03:09 INFO mapred.JobClient: Total time spent by all maps
> waiting after reserving slots (ms)=0
> 13/09/13 16:03:09 INFO mapred.JobClient: Launched map tasks=4
> 13/09/13 16:03:09 INFO mapred.JobClient: Data-local map tasks=4
> 13/09/13 16:03:09 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0
> 13/09/13 16:03:09 INFO mapred.JobClient: Failed map tasks=1{code}
> Expected behavior:
> As a stopgap, the netty jar should be included in that list. More generally,
> there should be a more elegant way to include the jars that are needed.
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