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https://issues.apache.org/jira/browse/HBASE-24072?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17083492#comment-17083492
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Michael Stack commented on HBASE-24072:
---------------------------------------

Ran my little TestPrintEnv which outputs ulimits seen inside container and it 
seems to show right numbers...

{code}
 core file size          (blocks, -c) unlimited
 data seg size           (kbytes, -d) unlimited
 scheduling priority             (-e) 0
 file size               (blocks, -f) unlimited
 pending signals                 (-i) 192962
 max locked memory       (kbytes, -l) 16384
 max memory size         (kbytes, -m) unlimited
 open files                      (-n) 1048576
 pipe size            (512 bytes, -p) 8
 POSIX message queues     (bytes, -q) 819200
 real-time priority              (-r) 0
 stack size              (kbytes, -s) 8192
 cpu time               (seconds, -t) unlimited
 max user processes              (-u) 12500
 virtual memory          (kbytes, -v) unlimited
 file locks                      (-x) unlimited
{code}

> Nightlies reporting OutOfMemoryError: unable to create new native thread
> ------------------------------------------------------------------------
>
>                 Key: HBASE-24072
>                 URL: https://issues.apache.org/jira/browse/HBASE-24072
>             Project: HBase
>          Issue Type: Task
>          Components: test
>            Reporter: Michael Stack
>            Assignee: Michael Stack
>            Priority: Major
>             Fix For: 3.0.0, 2.3.0
>
>         Attachments: 
> 0001-HBASE-24072-Nightlies-reporting-OutOfMemoryError-una.patch, 
> print_ulimit.patch
>
>
> Seeing this kind of thing in nightly...
> {code}
> java.lang.RuntimeException: java.lang.OutOfMemoryError: unable to create new 
> native thread
>       at 
> org.apache.hadoop.hbase.mapreduce.TestMultithreadedTableMapper.beforeClass(TestMultithreadedTableMapper.java:83)
> Caused by: java.lang.OutOfMemoryError: unable to create new native thread
>       at 
> org.apache.hadoop.hbase.mapreduce.TestMultithreadedTableMapper.beforeClass(TestMultithreadedTableMapper.java:83)
> {code}
> Chatting w/ Nick and Huaxiang, doing the math, we are likely oversubscribing 
> our docker container. It is set to 20G (The hosts are 48G). Fork count is 
> 0.5C on a 16 CPU machine which is 8 *2.8G our current forked jvm size. Add 
> the maven 4G and we could be over the top.
> Play w/ downing the fork size (in earlier study we didn't seem to need this 
> much RAM when running a fat long test). Let me also take th ms off the mvn 
> allocation to see if that helps.



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