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From Azuryy Yu <azury...@gmail.com>
Subject Re: HBase issues since upgrade from 0.92.4 to 0.94.6
Date Fri, 12 Jul 2013 11:48:55 GMT
I do think your JVM on the RS crashed. do you have GC log?

do you set MR *mapred*.map.tasks.*speculative.execution=false *when you
using map jobs to read or write HBASE?

and if you have a heavy read/write load, how did you tune the HBase? such
as block cache size, compaction, memstore etc.


On Fri, Jul 12, 2013 at 7:42 PM, David Koch <ogdude@googlemail.com> wrote:

> Thank you for your responses. With respect to the version of Java I found
> that Cloudera recommend<
> http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH4/latest/CDH4-Requirements-and-Supported-Versions/cdhrsv_topic_3.html
> >1.7.x
> for CDH4.3.
>
>
> On Fri, Jul 12, 2013 at 1:32 PM, Jean-Marc Spaggiari <
> jean-marc@spaggiari.org> wrote:
>
> > Might want to run memtest also, just to be sure there is no memory issue.
> > It should not since it was working fine with 0.92.4, but costs nothing...
> >
> > the last version of Java 6 is 45... Might also worst to give it a try if
> > you are running with 1.6.
> >
> > 2013/7/12 Asaf Mesika <asaf.mesika@gmail.com>
> >
> > > You need to see the jvm crash in .out log file and see if maybe its the
> > .so
> > > native Hadoop code that making the problem. In our case we
> > > Downgraded from jvm 1.6.0-37 to 33 and it solved the issue.
> > >
> > >
> > > On Friday, July 12, 2013, David Koch wrote:
> > >
> > > > Hello,
> > > >
> > > > NOTE: I posted the same message in the the Cloudera group.
> > > >
> > > > Since upgrading from CDH 4.0.1 (HBase 0.92.4) to 4.3.0 (HBase 0.94.6)
> > we
> > > > systematically experience problems with region servers crashing
> > silently
> > > > under workloads which used to pass without problems. More
> specifically,
> > > we
> > > > run about 30 Mapper jobs in parallel which read from HDFS and insert
> in
> > > > HBase.
> > > >
> > > > region server log
> > > > NOTE: no trace of crash, but server is down and shows up as such in
> > > > Cloudera Manager.
> > > >
> > > > 2013-07-12 10:22:12,050 WARN
> > > > org.apache.hadoop.hbase.regionserver.wal.HLogSplitter: File
> > > >
> > > >
> > >
> >
> hdfs://XXXXXXX:8020/hbase/.logs/XXXXXXX,60020,1373616547696-splitting/XXXXXXX%2C60020%2C1373616547696.1373617004286
> > > > might be still open, length is 0
> > > > 2013-07-12 10:22:12,051 INFO
> org.apache.hadoop.hbase.util.FSHDFSUtils:
> > > > Recovering file
> > > >
> > > >
> > >
> >
> hdfs://XXXXXXX:8020/hbase/.logs/XXXXXXX,60020,1373616547696-splitting/XXXXXXX
> > > > t%2C60020%2C1373616547696.1373617004286
> > > > 2013-07-12 10:22:13,064 INFO
> org.apache.hadoop.hbase.util.FSHDFSUtils:
> > > > Finished lease recover attempt for
> > > >
> > > >
> > >
> >
> hdfs://XXXXXXX:8020/hbase/.logs/XXXXXXX,60020,1373616547696-splitting/XXXXXXX%2C60020%2C1373616547696.1373617004286
> > > > 2013-07-12 10:22:14,819 INFO org.apache.hadoop.io.compress.CodecPool:
> > Got
> > > > brand-new compressor [.deflate]
> > > > 2013-07-12 10:22:14,824 INFO org.apache.hadoop.io.compress.CodecPool:
> > Got
> > > > brand-new compressor [.deflate]
> > > > ...
> > > > 2013-07-12 10:22:14,850 INFO org.apache.hadoop.io.compress.CodecPool:
> > Got
> > > > brand-new compressor [.deflate]
> > > > 2013-07-12 10:22:15,530 INFO org.apache.hadoop.io.compress.CodecPool:
> > Got
> > > > brand-new compressor [.deflate]
> > > > < -- last log entry, region server is down here -- >
> > > >
> > > >
> > > > datanode log, same machine
> > > >
> > > > 2013-07-12 10:22:04,811 ERROR
> > > > org.apache.hadoop.hdfs.server.datanode.DataNode:
> > > XXXXXXX:50010:DataXceiver
> > > > error processing WRITE_BLOCK operation  src: /YYY.YY.YYY.YY:36024
> dest:
> > > > /XXX.XX.XXX.XX:50010
> > > > java.io.IOException: Premature EOF from inputStream
> > > > at org.apache.hadoop.io.IOUtils.readFully(IOUtils.java:194)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doReadFully(PacketReceiver.java:213)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doRead(PacketReceiver.java:134)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.receiveNextPacket(PacketReceiver.java:109)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receivePacket(BlockReceiver.java:414)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receiveBlock(BlockReceiver.java:635)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:564)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:103)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:67)
> > > > at
> > > >
> > > >
> > >
> >
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:221)
> > > > at java.lang.Thread.run(Thread.java:724)
> > > > < -- many repetitions of this -- >
> > > >
> > > > What could have caused this difference in stability?
> > > >
> > > > We did not change any configuration settings with respect to the
> > previous
> > > > CDH 4.0.1 setup. In particular, we left ulimit and
> > > > dfs.datanode.max.xcievers at 32k. If need be, I can provide more
> > complete
> > > > log/configuration information.
> > > >
> > > > Thank you,
> > > >
> > > > /David
> > > >
> > >
> >
>

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