Done. Can you check the gist again?

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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