Knowledge Management

lookup use analysis

mjones414
Contributor

I'm trying to do some lookup table rationalization because we have some sources changing that we're pulling into lookup tables and I'll need to find new sources for some of my data types.  I'm trying to find a better way to get stats on fields used for lookup and inputlookup matches as well as output results, so I have a better way to weight the criticality of certain data sources in my org and push for better data coverage at the source for important fields.    The way I've done this so far is through | rest for saved searches and macros followed by an unholy amount of regexes to capture all of the worry-free use of cases and conditions and in-line renames using AS and WHERE.   I haven't even started with views... There simply must be a better way.  

Is there anything in splunk_introspection that would basically count the equivalent of sum(count) of a particular lookup field by any saved search or macro?

Labels (1)
0 Karma

gjanders
SplunkTrust
SplunkTrust

While your current method will work, why not look in _audit?

The _audit index records searches, you will miss (in 8.0.4.1 and earlier) the lookup if the lookup name exists within a macro, but you should capture the majority.

And if a macro does the lookup you could just check for the macro usage...

0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Cisco Data Fabric from Architecture to Investigation, Better SOC Visibility, and More ...

Splunk Lantern is Splunk’s customer success center that provides practical guidance from Splunk experts on key ...

The Trust Gap: Why a Data Foundation is Fundamental to an Agentic Enterprise

The Trust Gap: Why a data foundation is fundamental to an  Agentic Enterprise.   Agentic AI is transforming ...

Data Management Digest – September 2026

    Welcome to the September 2026 edition of Data Management Digest! September brought a fresh wave of ...