2015-12-16 15:10 GMT+01:00 Ciprian Hacman <[email protected]>:
> Done. Can you check the gist again?

yup. It now contains better info, but I wonder where these leaks stem
from. One suspect is inotify polling mode, which we didn't really test
well for quite a while...

Rainer
>
> Thanks,
> Ciprian
>
> --
> Performance Monitoring * Log Analytics * Search Analytics
> Solr & Elasticsearch Support * http://sematext.com/
>
> On Wed, Dec 16, 2015 at 3:40 PM, Rainer Gerhards <[email protected]>
> wrote:
>
>> 2015-12-16 14:16 GMT+01:00 Ciprian Hacman <[email protected]>:
>> > Done! I updated the output in the same place:
>> > https://gist.github.com/hakman/44afddaf4eb67cda28c6
>>
>> mhhh... less clear than I had hoped...
>>
>> Can you switch imfile to use inotify mode and retry?
>>
>> Rainer
>> >
>> > Thanks for looking into this so fast!
>> >
>> > Ciprian
>> >
>> > --
>> > Performance Monitoring * Log Analytics * Search Analytics
>> > Solr & Elasticsearch Support * http://sematext.com/
>> >
>> > On Wed, Dec 16, 2015 at 2:53 PM, Rainer Gerhards <
>> [email protected]>
>> > wrote:
>> >
>> >> 2015-12-16 13:48 GMT+01:00 Ciprian Hacman <[email protected]
>> >:
>> >> > Hi,
>> >> >
>> >> > I upgraded a server to Rsyslog 8.15 last night and today the process
>> was
>> >> > using almost 200MB of RAM (raising steadily).
>> >> > Tried running the process in Valgrind to see if I get an idea about
>> what
>> >> > happens, but wasn't that much help for me.
>> >>
>> >> That's because debug symbols are unloaded at module unload time. This
>> >> makes valgrind stacktraces unusable. Nevertheless, the information
>> >> looks very promising.
>> >>
>> >> Can you build rsyslog yourself for that box? All we need is the
>> >> --enable-valgrind option, which will essentially remove the module
>> >> unloads and make the stacktrace usable.
>> >>
>> >> Rainer
>> >> >
>> >> > If someone has better debugging skills, I pasted the output here. Not
>> >> sure
>> >> > if I let it run enough or leave it running longer.
>> >> > https://gist.github.com/hakman/44afddaf4eb67cda28c6
>> >> >
>> >> > Thanks,
>> >> > Ciprian
>> >> >
>> >> >
>> >> > --
>> >> > Performance Monitoring * Log Analytics * Search Analytics
>> >> > Solr & Elasticsearch Support * http://sematext.com/
>> >> >
>> >> > On Tue, Dec 15, 2015 at 2:41 PM, David Lang <[email protected]> wrote:
>> >> >
>> >> >> On Tue, 15 Dec 2015, Ciprian Hacman wrote:
>> >> >>
>> >> >> Hi David,
>> >> >>>
>> >> >>> maxMessageSize="10000"
>> >> >>> queue.size="10000" - main queue
>> >> >>> queue.size="10000" - elasticsearch queue
>> >> >>>
>> >> >>> Based on my calculations this brings me to a max of 200MB of memory,
>> >> maybe
>> >> >>> a little more depending on how maxMessageSize is calculated.
>> >> >>>
>> >> >>> I read logs from a file and push them to Elasticsearch (on the same
>> >> >>> network), so TCP is the only possibility. This server has a very
>> simple
>> >> >>> setup.
>> >> >>>
>> >> >>> If I don't find the reason for this issue, I might have to go
>> implement
>> >> >>> the
>> >> >>> forwarding to a central location and push to Elasticsearch from
>> there.
>> >> >>>
>> >> >>
>> >> >> There are advantages to sending things to a central server.
>> >> >>
>> >> >> it's one place to queue data, so you can either allocate more ram,
>> or go
>> >> >> to disk as needed without impacting other workloads.
>> >> >>
>> >> >> it's more efficient, the central server is more likely to have larger
>> >> >> batches of data to feed to ES, and ES only needs to be running one
>> >> thread
>> >> >> processing inbound data
>> >> >>
>> >> >> while it is one more point to have to look at, I think it simplifies
>> >> >> troubleshooting as all the communication to ES (and therefor all the
>> >> errors
>> >> >> for such communication) happen in one place instead of distributed.
>> >> >>
>> >> >> anyway, let's see how things look with 8.15
>> >> >>
>> >> >>
>> >> >> David Lang
>> >> >> _______________________________________________
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