Splunk Search

count condition

subachu
New Member

I'm having trouble writing a search statement that sets the count to 0 when the service is normally.

This is my data example.

name status
A failed
B failed
C failed
A normally
B normally
C normally

Counting with name will also count normally.
I want to count status failed only.

In this case, everything is normally, I want to display 0.

I know this is not correct, but I want to do like this.

|eval A =if((status=failed),count,null)
|stats count as A

I can't think of a conditional statement that counts when the status is failed.

Tags (1)
0 Karma
1 Solution

mayurr98
Super Champion

Try this ?

 <your search> | stats count(eval(status="failed")) as failed_count by name

View solution in original post

mayurr98
Super Champion

Try this ?

 <your search> | stats count(eval(status="failed")) as failed_count by name

Sukisen1981
Champion

instead of if , use a case
|eval A=case(status=failed,1)
so A has counts only for failed status

0 Karma

subachu
New Member

Thank you for helping.
what do it mean (status=failed,1)?
I thought (status=failed,0).

0 Karma

Sukisen1981
Champion

hi you said 'I want to count status failed only.' hence I made status=failed as 0.
You can assign any value based on your need

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!

Casting Call: Compete in Cyber Games

Lights, Camera, SecOps: Apply to Compete in Cyber Games     Think you have what it takes to beat the clock? ...

Announcing Modern Navigation: A New Era of Splunk User Experience

We are excited to introduce the Modern Navigation feature in the Splunk Platform, available to both cloud and ...

How Edge Processor's Durable Queue Works

Edge Processor sits in one of the most consequential places in any Splunk pipeline: between your data sources ...