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https://issues.apache.org/jira/browse/HBASE-8143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13821182#comment-13821182
 ] 

Hadoop QA commented on HBASE-8143:
----------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest 
attachment 
  http://issues.apache.org/jira/secure/attachment/12613550/8143v2.txt
  against trunk revision .

    {color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

    {color:red}-1 tests included{color}.  The patch doesn't appear to include 
any new or modified tests.
                        Please justify why no new tests are needed for this 
patch.
                        Also please list what manual steps were performed to 
verify this patch.

    {color:green}+1 hadoop1.0{color}.  The patch compiles against the hadoop 
1.0 profile.

    {color:green}+1 hadoop2.0{color}.  The patch compiles against the hadoop 
2.0 profile.

    {color:red}-1 javadoc{color}.  The javadoc tool appears to have generated 1 
warning messages.

    {color:green}+1 javac{color}.  The applied patch does not increase the 
total number of javac compiler warnings.

    {color:green}+1 findbugs{color}.  The patch does not introduce any new 
Findbugs (version 1.3.9) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

    {color:green}+1 lineLengths{color}.  The patch does not introduce lines 
longer than 100

    {color:red}-1 site{color}.  The patch appears to cause mvn site goal to 
fail.

    {color:green}+1 core tests{color}.  The patch passed unit tests in .

Test results: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//testReport/
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-protocol.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-thrift.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-client.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-examples.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-hadoop1-compat.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-prefix-tree.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-common.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-server.html
Findbugs warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//artifact/trunk/patchprocess/newPatchFindbugsWarningshbase-hadoop-compat.html
Console output: 
https://builds.apache.org/job/PreCommit-HBASE-Build/7837//console

This message is automatically generated.

> HBase on Hadoop 2 with local short circuit reads (ssr) causes OOM 
> ------------------------------------------------------------------
>
>                 Key: HBASE-8143
>                 URL: https://issues.apache.org/jira/browse/HBASE-8143
>             Project: HBase
>          Issue Type: Bug
>          Components: hadoop2
>    Affects Versions: 0.98.0, 0.94.7, 0.95.0
>            Reporter: Enis Soztutar
>            Assignee: stack
>            Priority: Critical
>             Fix For: 0.98.0, 0.96.1
>
>         Attachments: 8143.hbase-default.xml.txt, 8143doc.txt, 8143v2.txt, 
> OpenFileTest.java
>
>
> We've run into an issue with HBase 0.94 on Hadoop2, with SSR turned on that 
> the memory usage of the HBase process grows to 7g, on an -Xmx3g, after some 
> time, this causes OOM for the RSs. 
> Upon further investigation, I've found out that we end up with 200 regions, 
> each having 3-4 store files open. Under hadoop2 SSR, BlockReaderLocal 
> allocates DirectBuffers, which is unlike HDFS 1 where there is no direct 
> buffer allocation. 
> It seems that there is no guards against the memory used by local buffers in 
> hdfs 2, and having a large number of open files causes multiple GB of memory 
> to be consumed from the RS process. 
> This issue is to further investigate what is going on. Whether we can limit 
> the memory usage in HDFS, or HBase, and/or document the setup. 
> Possible mitigation scenarios are: 
>  - Turn off SSR for Hadoop 2
>  - Ensure that there is enough unallocated memory for the RS based on 
> expected # of store files
>  - Ensure that there is lower number of regions per region server (hence 
> number of open files)
> Stack trace:
> {code}
> org.apache.hadoop.hbase.DroppedSnapshotException: region: 
> IntegrationTestLoadAndVerify,yC^P\xD7\x945\xD4,1363388517630.24655343d8d356ef708732f34cfe8946.
>         at 
> org.apache.hadoop.hbase.regionserver.HRegion.internalFlushcache(HRegion.java:1560)
>         at 
> org.apache.hadoop.hbase.regionserver.HRegion.internalFlushcache(HRegion.java:1439)
>         at 
> org.apache.hadoop.hbase.regionserver.HRegion.flushcache(HRegion.java:1380)
>         at 
> org.apache.hadoop.hbase.regionserver.MemStoreFlusher.flushRegion(MemStoreFlusher.java:449)
>         at 
> org.apache.hadoop.hbase.regionserver.MemStoreFlusher.flushOneForGlobalPressure(MemStoreFlusher.java:215)
>         at 
> org.apache.hadoop.hbase.regionserver.MemStoreFlusher.access$500(MemStoreFlusher.java:63)
>         at 
> org.apache.hadoop.hbase.regionserver.MemStoreFlusher$FlushHandler.run(MemStoreFlusher.java:237)
>         at java.lang.Thread.run(Thread.java:662)
> Caused by: java.lang.OutOfMemoryError: Direct buffer memory
>         at java.nio.Bits.reserveMemory(Bits.java:632)
>         at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:97)
>         at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:288)
>         at 
> org.apache.hadoop.hdfs.util.DirectBufferPool.getBuffer(DirectBufferPool.java:70)
>         at 
> org.apache.hadoop.hdfs.BlockReaderLocal.<init>(BlockReaderLocal.java:315)
>         at 
> org.apache.hadoop.hdfs.BlockReaderLocal.newBlockReader(BlockReaderLocal.java:208)
>         at 
> org.apache.hadoop.hdfs.DFSClient.getLocalBlockReader(DFSClient.java:790)
>         at 
> org.apache.hadoop.hdfs.DFSInputStream.getBlockReader(DFSInputStream.java:888)
>         at 
> org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:455)
>         at 
> org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:645)
>         at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:689)
>         at java.io.DataInputStream.readFully(DataInputStream.java:178)
>         at 
> org.apache.hadoop.hbase.io.hfile.FixedFileTrailer.readFromStream(FixedFileTrailer.java:312)
>         at 
> org.apache.hadoop.hbase.io.hfile.HFile.pickReaderVersion(HFile.java:543)
>         at 
> org.apache.hadoop.hbase.io.hfile.HFile.createReaderWithEncoding(HFile.java:589)
>         at 
> org.apache.hadoop.hbase.regionserver.StoreFile$Reader.<init>(StoreFile.java:1261)
>         at 
> org.apache.hadoop.hbase.regionserver.StoreFile.open(StoreFile.java:512)
>         at 
> org.apache.hadoop.hbase.regionserver.StoreFile.createReader(StoreFile.java:603)
>         at 
> org.apache.hadoop.hbase.regionserver.Store.validateStoreFile(Store.java:1568)
>         at 
> org.apache.hadoop.hbase.regionserver.Store.commitFile(Store.java:845)
>         at 
> org.apache.hadoop.hbase.regionserver.Store.access$500(Store.java:109)
>         at 
> org.apache.hadoop.hbase.regionserver.Store$StoreFlusherImpl.commit(Store.java:2209)
>         at 
> org.apache.hadoop.hbase.regionserver.HRegion.internalFlushcache(HRegion.java:1541)
> {code}



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