Splunk Search

Run predict command for multiple disk in same query

RSS_STT
Explorer

I have multiple disk like C, D & E on server and want to do the prediction for multiple disk in same query.

index=main host="localhost"  instance="C:" sourcetype="Perfmon:LogicalDisk" counter="% Free Space" | timechart min(Value) as "Used Space" | predict "Used Space" algorithm=LLP5 future_timespan=180

Could anyone help with modified query.

 

 

Labels (1)
Tags (1)
0 Karma

livehybrid
Super Champion

Hi @RSS_STT 

The predict command can take a number of fields, such as in this example below, allowing you to run the predict against all your drives.

| makeresults count=5
| streamstats count
| eval instance = case(count%3==1, "C:", count%3==2, "D:", true(), "E:")
| eval Value = case(instance=="C:", 90 - count*5, instance=="D:", 80 - count*4, instance=="E:", 70 - count*3)
| append [| makeresults count=5
| eval _time = relative_time(now(), "-1h")
| streamstats count
| eval instance = case(count%3==1, "C:", count%3==2, "D:", true(), "E:")
| eval Value = case(instance=="C:", 880 - count*5, instance=="D:", 82 - count*4, instance=="E:", 70 - count*3)]
| fields _time, instance, Value
| timechart min(Value) as "FreeSpace" by instance
| fillnull "C:" "D:" "E:"
| predict "C:" "D:" "E:" algorithm=LLP5 future_timespan=180

 

livehybrid_0-1746437121904.png

🌟 Did this answer help you? If so, please consider:

  • Adding karma to show it was useful
  • Marking it as the solution if it resolved your issue
  • Commenting if you need any clarification

Your feedback encourages the volunteers in this community to continue contributing

0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

Assuming instance contains the disk you want to predict, you could try something like this

index=main host="localhost"  instance="C:" sourcetype="Perfmon:LogicalDisk" counter="% Free Space" 
| eval instance=substr(instance,0,1)
| timechart min(value) as "Used Space" by instance
| appendpipe
    [| fields _time C
    | where isnotnull(C)
    | predict C algorithm=LLP5 future_timespan=180]
| appendpipe
    [| fields _time D
    | where isnotnull(D)
    | predict D algorithm=LLP5 future_timespan=180]
| appendpipe
    [| fields _time E
    | where isnotnull(E)
    | predict E algorithm=LLP5 future_timespan=180]
0 Karma
Get Updates on the Splunk Community!

Splunk Answers Content Calendar, June Edition

Get ready for this week’s post dedicated to Splunk Dashboards! We're celebrating the power of community by ...

What You Read The Most: Splunk Lantern’s Most Popular Articles!

Splunk Lantern is a Splunk customer success center that provides advice from Splunk experts on valuable data ...

See your relevant APM services, dashboards, and alerts in one place with the updated ...

As a Splunk Observability user, you have a lot of data you have to manage, prioritize, and troubleshoot on a ...