That's just giving me a CSV formatted output.

I don't see errors that I'm aware of - just massive queued up backlog (now
down to about 36K files).


On Fri, Jun 27, 2014 at 2:40 PM, Eric Renfro <[email protected]>
wrote:

> Not a bad question at all.
>
> I'd be curious to know what your TemplateFormatDSV is doing specifically,
> everything else looks reasonably sane, so long as it's not saturating your
> network with log deliveries, and on what errors are you getting on what
> input data?
> --
> Eric Renfro (Psi-Jack)
> Linux-Help.org System Administrator
>
>
> On Friday, June 27, 2014 01:05:18 PM Doug McClure wrote:
> > I'm in the tuning & optimization phase for a large rsyslog - logstash
> > deployment and working through very close monitoring of system
> performance,
> > logging load and imstats.
> >
> > This morning, a very large incoming log spike occurred on the rsyslog
> > imptcp input and was processed. That spike was routed to my omfwd action
> to
> > be shipped to a logstash tcp input.
> >
> > What it appears is happening is that very large input spike went to disk
> > assisted queues and has created over 37K files on disk.  They are being
> > processed and shipped and I have a steady 60Kb/s output headed towards
> > logstash tcp input.
> >
> > My question - where should I begin to look to optimize the processing of
> > that output action queue or changing configuration to avoid queuing up so
> > much in the first place?  How would I determine if this is due to rsyslog
> > setup or on the logstash input side?
> >
> > Looking at imstats in the analyzer for logstash output (omfwd) I see
> > significant processed/failed numbers and then in the logstash ouput -DA-
> it
> > looks like things are as described above - large queues, with no failures
> > being processed gradually.
> >
> >
> > rsyslog 7.4.4 output action:
> >
> > action(type="omfwd"
> >        Target="10.x.x.x"
> >        Port="10515"
> >        Protocol="tcp"
> >        Template="LogFormatDSV"
> >        queue.filename="logstashqueue"     # set file name, also enables
> > disk mode
> >        queue.size="1000000"
> >        queue.type="LinkedList"            # use asynchronous processing
> >        queue.workerthreads="5"
> >        name="logstashforwarder"
> >        )
> >
> >
> > Thanks for any pointers!
> >
> > Doug
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