Splunk Search

summing two event counts by source

umplebyj
Explorer

so, I am trying to parse out syslog stats data, trying to get a velocity of the events to figure out which log source is spiking when backlogs occur.

events: the count of events for a particular source type
src: the individual device sending logs to the syslog server.

as syslog stats don't reset until syslog is hup'd or otherwise restarted taking the list of events isn't specifically helpful.

So what I'm trying to figure out is how to get a velocity of trying to get something like: stats min(events, by source) and compare it to a stats max(events) by src. However I haven't been able to combine this properly.

Output would preferably be a table that has (src, maxevents, minevents, diff)

Tags (2)
0 Karma
1 Solution

aholzer
Motivator

I think what you are looking for is
| stats min(events) as min_events max(events) as max_events by src
| eval diff = max_events - min_events

Hope this helps

View solution in original post

aholzer
Motivator

I think what you are looking for is
| stats min(events) as min_events max(events) as max_events by src
| eval diff = max_events - min_events

Hope this helps

umplebyj
Explorer

Could have sworn I tried something just like this and it somehow took the max of all sources and min of all sources (even though I through in the by source field)

Anyways, thanks this worked.

0 Karma
Career Survey
First 500 qualified respondents will receive a $20 gift card! Tell us about your professional Splunk journey.

Can’t make it to .conf25? Join us online!

Get Updates on the Splunk Community!

Can’t Make It to Boston? Stream .conf25 and Learn with Haya Husain

Boston may be buzzing this September with Splunk University and .conf25, but you don’t have to pack a bag to ...

Splunk Lantern’s Guide to The Most Popular .conf25 Sessions

Splunk Lantern is a Splunk customer success center that provides advice from Splunk experts on valuable data ...

Unlock What’s Next: The Splunk Cloud Platform at .conf25

In just a few days, Boston will be buzzing as the Splunk team and thousands of community members come together ...