Splunk Search

Weighting events based on the source they originate from

mjones414
Contributor

I have a summary index that pulls in normalized data from 2 different sources (entirely different applications that catalog and categorize the data differently).  In situations where I have events in the summary index from both sources, they are 99.99% of the time duplicates of eachother, however source 1 has better data fidelity than source 2.  Lets say if I weighted High Fidelity source with a 1 and Low fidelity source with a 2, I'm trying to find a way to filter with a by clause on another field which both events have  (like device, or ip_address).  something logically like:

|where source=coalesce("sourcename1","sourcename2") by field

but where doesnt take a by clause.

In the past I've done similar things by coalescing each field I want with a case statement, but in this case there are quite a few and I'm wondering if there's a more efficient way of doing it.

any ideas on the best way to accomplish this?

 

Labels (1)
0 Karma
1 Solution

ITWhisperer
SplunkTrust
SplunkTrust
| eval fidelity=if(source="source 1", 1, 2)
| eventstats min(fidelity) as best by device
| where fidelity == best

View solution in original post

mjones414
Contributor

I owe you a lot of beers!

0 Karma

ITWhisperer
SplunkTrust
SplunkTrust
| eval fidelity=if(source="source 1", 1, 2)
| eventstats min(fidelity) as best by device
| where fidelity == best
Get Updates on the Splunk Community!

Why You Can't Miss .conf25: Unleashing the Power of Agentic AI with Splunk & Cisco

The Defining Technology Movement of Our Lifetime The advent of agentic AI is arguably the defining technology ...

Deep Dive into Federated Analytics: Unlocking the Full Power of Your Security Data

In today’s complex digital landscape, security teams face increasing pressure to protect sprawling data across ...

Your summer travels continue with new course releases

Summer in the Northern hemisphere is in full swing, and is often a time to travel and explore. If your summer ...