Splunk Search

How to search the distinct count of a field based on a condition, then calculate percentage?

jawebb
Explorer

Here is an example of my search:

Search | stats dc(eval(DISPLAYNAME)) AS Total,dc(eval(STATUS="Offline")) AS Offline| eval Percentage=round((100*(Total-Offline)/Total))."%" | fields - Total, Offline

My goal is to take the total number of devices as referenced by the dc(DISPLAYNAME). Then, I'd like to take the same number, but under the condition that the STATUS field is equal to "Offline". When I do the count, I get a correct number until the next data import, then it duplicates as it should. Distinct count only returns a "1". I guess I'm not quite sure how to eval the DISPLAYNAME field again, but only for offline devices.

Any help would be appreciated.

Thanks

Tags (4)
0 Karma
1 Solution

woodcock
Esteemed Legend

Like this:

| eval DISPLAYNAMEforOFFLINES = if((STATUS="Offline"), DISPLAYNAME, null()) | stats dc(eval(DISPLAYNAME)) AS Total dc(DISPLAYNAMEforOFFLINES) AS Offline| eval Percentage=round((100*(Total-Offline)/Total))."%" | fields - Total, Offline

View solution in original post

0 Karma

woodcock
Esteemed Legend

Like this:

| eval DISPLAYNAMEforOFFLINES = if((STATUS="Offline"), DISPLAYNAME, null()) | stats dc(eval(DISPLAYNAME)) AS Total dc(DISPLAYNAMEforOFFLINES) AS Offline| eval Percentage=round((100*(Total-Offline)/Total))."%" | fields - Total, Offline
0 Karma

jawebb
Explorer

Thank you! Works great. I also found that the join command worked for me as well, but I prefer your way.

Search | stats dc(eval(DISPLAYNAME)) AS Total| join [search "index" (STATUS=Offline) | stats dc(eval(DISPLAYNAME)) AS Offline] | eval Percentage=round((100*(Total-Offline)/Total))."%" | fields - Total, Offline

0 Karma

martin_mueller
SplunkTrust
SplunkTrust

The join approach would run the search twice, so it's not a great idea if avoidable (it is).

0 Karma

woodcock
Esteemed Legend

It is also subject to subsearch limits; my solution is not.

0 Karma
Get Updates on the Splunk Community!

Splunk Observability for AI

Don’t miss out on an exciting Tech Talk on Splunk Observability for AI! Discover how Splunk’s agentic AI ...

[Puzzles] Solve, Learn, Repeat: Dereferencing XML to Fixed-length events

This challenge was first posted on Slack #puzzles channelFor a previous puzzle, I needed a set of fixed-length ...

Stay Connected: Your Guide to December Tech Talks, Office Hours, and Webinars!

What are Community Office Hours? Community Office Hours is an interactive 60-minute Zoom series where ...