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From Jean-Daniel Cryans <jdcry...@apache.org>
Subject Re: What version of HDFS is compatible with HBase?
Date Wed, 21 Dec 2011 23:00:36 GMT
Copy over the commons-configuration jar too.

J-D

On Wed, Dec 21, 2011 at 2:57 PM, Aleksandr Levchuk <aleksandr@fb.com> wrote:
> As you suggested, I replaced hadoop-core-0.20-append-r1056497.jar with
> hadoop-core-0.20.205.0.jar (in hbase's lib) on the machines of the cluster,
> but now when start-hbase.sh on the master gives:
>
> Exception in thread "main" java.lang.NoClassDefFoundError:
> org/apache/commons/configuration/Configuration
>        at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.<init>
> ...
>        at
> org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:395)
>        at
> org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:1436)
>
>
> Alex
>
>
>
> On 12/21/2011 02:21 PM, Jean-Daniel Cryans wrote:
>>>
>>> I added dfs.support.append=true configuration everywhere but I get the
>>> same
>>> "got version 3 expected version 4" problem.
>>
>>
>> Setting this won't solve your version problem.
>>
>>> How do I update the jars in the hbase lib directory?
>>
>>
>> Remove the hadoop jar that's in there, replace it with the 0.20.205 one.
>>
>>>>  This makes it look like hadoop-0.20.205.0 and hbase-0.90.4 are
>>>> incompatible.
>>
>>
>> This error really means that you didn't replace the jars correctly,
>> the version is contained in the Hadoop jar and HBase isn't involved at
>> all. From http://hbase.apache.org/book/hadoop.html
>>
>> "Because HBase depends on Hadoop, it bundles an instance of the Hadoop
>> jar under its lib directory. The bundled jar is ONLY for use in
>> standalone mode. In distributed mode, it is critical that the version
>> of Hadoop that is out on your cluster match what is under HBase.
>> Replace the hadoop jar found in the HBase lib directory with the
>> hadoop jar you are running on your cluster to avoid version mismatch
>> issues. Make sure you replace the jar in HBase everywhere on your
>> cluster. Hadoop version mismatch issues have various manifestations
>> but often all looks like its hung up."
>>
>> J-D
>
>

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