This is probably a red herring, for example if the region server had a
big GC pause then the master could have already split the log and the
region server wouldn't be able to close it (that's our version of IO
fencing). So from that exception look back in the log and see if
there's anything like :

INFO org.apache.zookeeper.ClientCnxn: Client session timed out, have
not heard from server in some_big_number ms

J-D

On Thu, Apr 14, 2011 at 7:24 AM, Andy Sautins
<[email protected]> wrote:
>
>  Thanks for the response stack.  Yes we tried increasing 
> dfs.datanode.handler.count to 8.   At this point I would say it didn't seem 
> to resolve the issue we are seeing, but we it also doesn't seem to be hurting 
> anything so for right now we're going to leave it in at 8 while we continue 
> to debug.
>
>  In regard to the original error I posted ( Block 'x' is not valid ) we have 
> chased that down thanks to your suggestion of looking at the logs for the 
> history of the block.  It _looks_ like our 'is not valid' block errors are 
> unrelated and due to chmod or deleting mapreduce output directories directly 
> after a run.  We are still isolating that but it looks like it's not HBase 
> releated so I'll move that to another list.  Thank you very much for your 
> debugging suggestions.
>
>   The one issue we are still seeing is that we will occasionally have a 
> regionserver die with the following exception.  I need to chase that down a 
> little more but it seems similar to a post from 2/13/2011 
> (http://www.mail-archive.com/[email protected]/msg05550.html ) that I'm 
> not sure was ever resolved or not.  If anyone has any insight on how to debug 
> the following error a little more I would appreciate any thoughts you might 
> have.
>
> 2011-04-14 06:05:13,001 ERROR org.apache.hadoop.hdfs.DFSClient: Exception 
> closing file 
> /user/hbase/.logs/hd10.dfs.returnpath.net,60020,1302555127291/hd10.dfs.returnpath.net%3A60020.1302781635921
>  : java.io.IOException: Error Recovery for block 
> blk_1315316969665710488_29842654 failed  because recovery from primary 
> datanode 10.18.0.16:50010 failed 6 times.  Pipeline was 10.18.0.16:50010. 
> Aborting...
> java.io.IOException: Error Recovery for block 
> blk_1315316969665710488_29842654 failed  because recovery from primary 
> datanode 10.18.0.16:50010 failed 6 times.  Pipeline was 10.18.0.16:50010. 
> Aborting...
>        at 
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.processDatanodeError(DFSClient.java:2841)
>        at 
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$1600(DFSClient.java:2305)
>
> Other than the above exception causing a region server to die occasionally 
> everything seems to be working well.
>
> Note we have now upgraded to Cloudera CDH Version 3 Update 0 ( hadoop 
> 0.20.2+923.21 and hbase 0.90.1+15.18 ) and still see the above exception.  We 
> do have ulimit set ( memory unlimited and files 32k ) for the user running 
> hbase.
>
> Thanks again for your help
>
>  Andy
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On Behalf Of Stack
> Sent: Sunday, April 10, 2011 1:16 PM
> To: [email protected]
> Cc: Andy Sautins
> Subject: Re: DFS stability running HBase and dfs.datanode.handler.count...
>
> Did you try upping it Andy?  Andrew Purtell's recommendation though old would 
> have come of experience.  The Intel article reads like sales but there is 
> probably merit to its suggestion.  The Cloudera article is more unsure about 
> the effect of upping handlers though it allows "...could be set a bit higher."
>
> I just looked at our prod frontend and its set to 3 still.  I don't see your 
> exceptions in our DN log.
>
> What version of hadoop?  You say hbase 0.91.  You mean 0.90.1?
>
> ulimit and nproc are set sufficiently high for hadoop/hbase user?
>
> If you grep 163126943925471435_28809750 in namenode log, do you see a delete 
> occur before a later open?
>
> St.Ack
>
> On Sat, Apr 9, 2011 at 4:35 PM, Andy Sautins <[email protected]> 
> wrote:
>>
>>    I ran across an mailing list posting from 1/4/2009 that seemed to 
>> indicate increasing dfs.datanode.handler.count could help improve DFS 
>> stability 
>> (http://mail-archives.apache.org/mod_mbox/hbase-user/200901.mbox/%[email protected]%3E
>>  ).  The posting seems to indicate the wiki was updated, but I don't seen 
>> anything in the wiki about increasing dfs.datanode.handler.count.   I have 
>> seen a few other notes that seem to show examples that have raised 
>> dfs.datanode.handler.count including one from an IBM article 
>> (http://software.intel.com/en-us/articles/hadoop-and-hbase-optimization-for-read-intensive-search-applications/
>>  ) and the Pro Hadoop book, but other than that the only other mention I see 
>> is from cloudera seems luke-warm on increasing dfs.datanode.handler.count 
>> (http://www.cloudera.com/blog/2009/03/configuration-parameters-what-can-you-just-ignore/
>>  ).
>>
>>    Given the post is from 2009 I thought I'd ask if anyone has had any 
>> success improving stability of HBase/DFS when increasing 
>> dfs.datanode.handler.count.  The specific error we are seeing somewhat  
>> frequently ( few hundred times per day ) in the datanode longs is as follows:
>>
>> 2011-04-09 00:12:48,035 ERROR
>> org.apache.hadoop.hdfs.server.datanode.DataNode:
>> DatanodeRegistration(10.18.0.33:50010,
>> storageID=DS-1501576934-10.18.0.33-50010-1296248656454,
>> infoPort=50075, ipcPort=50020):DataXceiver
>> java.io.IOException: Block blk_-163126943925471435_28809750 is not valid.
>>
>>   The above seems to correspond to ClosedChannelExceptions in the hbase 
>> regionserver logs as well as some warnings about long write to hlog ( some 
>> in the 50+ seconds ).
>>
>>    The biggest end-user facing issue we are seeing is that Task Trackers 
>> keep getting blacklisted.  It's quite possible our problem is unrelated to 
>> anything HBase, but I thought it was worth asking given what we've been 
>> seeing.
>>
>>   We are currently running 0.91 on an 18 node cluster with ~3k total regions 
>> and each region server is running with 2G of memory.
>>
>>   Any insight would be appreciated.
>>
>>   Thanks
>>
>>    Andy
>>
>

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