So I don’t think the sample rate is sent with the flow data when using inline
flow sampling on the MX (Juniper MX960). It could be operator error on this
side though.:) I eventually used the setting of the rate by source method and
it worked great.
Thanks
On Jun 17, 2014, at 2:44 PM, Adrian Popa
<adrian.popa...@gmail.com<mailto:adrian.popa...@gmail.com>> wrote:
Depending on your netflow export type, your routers should export the sampling
rate as part of the template packets (for netflow v9 at least). Nfsen should
pick this up and correct the interal values with this sampling in mind. If it
doesn't work, you can manually set a fixed sampling rate per collector - inside
nfsen.conf -> %sources:
%sources = (
'myRouter' => { 'port' => '9901', 'col' => '#00ff00', 'type' => 'netflow',
'optarg' => ' -s -1000 '},
);
Quote from man nfcapd:
-s <rate>
Apply default sampling rate rate to all netflow records, unless the
sampling rate is announced by the exporting device. In that case the announced
sam-
pling rate is applied. If <rate> is negative, this will hard
overwrite any device specific announced sampling rates.
On Mon, Jun 16, 2014 at 10:09 PM, Scott Granados
<sc...@granados-llc.net<mailto:sc...@granados-llc.net>> wrote:
Hi,
I am collecting data from several sources all at the same sample rate
of 1:1000. My graphs how ever aren’t scaled accordingly. I’ve been googling
but haven’t found a definite pointer as to how to set the sample rate or
scaling correctly. Is there a knob I can set by source or what’s the best
method to rescale my data or at least record / create graphs going forward with
the appropriate scaling factor / sample rate. I’m running 1.3.6 NFSEN. Any
pointers would be most appreciated. Also, other than the NFSEN homepage itself
and the archives is there a good source for basic documentation and examples I
can query first before providing noise on the list? :)
Thanks
Scott
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------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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