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From "Aleksandr Shulman (JIRA)" <j...@apache.org>
Subject [jira] [Created] (HBASE-9533) List of imported jars is hard-coded and does not include netty, breaking MRv1 jobs
Date Sat, 14 Sep 2013 00:55:52 GMT
Aleksandr Shulman created HBASE-9533:
----------------------------------------

             Summary: List of imported jars 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
             Fix For: 0.96.1, 0.95.2


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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