Splunk Search

Convert table (stats output) to fields for eval?

batzel
Engager

How can I take table output like the above and convert it into key=value pairs, so I can eval them further?

I came up with a different way to do what I needed, but am still pondering the dead-end I reached before that.

Say I have data like:
id=0001 status=class1
id=0002 status=classb
id=0003 status=classb
id=f3e9 status=foo

I do: | stats distinct_count(id) as C by status

Now I have a table:
status C
class1 1
classb 2
foo 1

How can I take table output like the above and convert it into key=value pairs, so I can eval them further? Say, I want to know the ratio of class1 to classb. That is, I want to know (class1's value) / (classb's value).

Tags (2)
0 Karma

jonuwz
Influencer

try something like this :

... | eval series="dummy" | chart limit=0 distinct_count(id) as C over series by status | fields - series

If you have a genuine series (like _time) you can just use "over _time" instead of using "eval series="dummy " and "by series"

i.e.

... | chart limit=0 distinct_count(id) as C over _time by status
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!

Kick the Tires Before You Commit: A Hands-On Tour of the Splunk Observability Cloud ...

Evaluating an enterprise observability platform usually goes like this: fill out a form, get a free trial with ...

Deep insights, no barriers: Splunk Observability Cloud Free Edition

As software delivery cycles continue to accelerate, observability shouldn’t be a luxury — it should be a ...

Monitoring AI Agents with Splunk Observability Cloud

Let’s say I’m running a travel planning AI app in production. A user asks for three concise hotel options in ...