Splunk Search

tstats timechart

kunalmao
Communicator

I am trying to do a time chart of available indexes in my environment , I already tried below query with no luck

| tstats count where index=* by index _time

but i want results in the same format as

index=* | timechart count by index limit=50alt text

Tags (3)
0 Karma
1 Solution

gcusello
SplunkTrust
SplunkTrust

Hi kunalmao,
why you want to use tstats if the second solution solves your needs?
If the problem is performance, use | metasearch before index=*
Bye.
Giuseppe

View solution in original post

DEAD_BEEF
Builder

To add to this post for future readers, if you did want to use tstats, then you could using the following syntax:

| tstats count WHERE (index=*) BY index _time span=1d prestats=t 
| timechart span=1d count by index

adjust the span period (on both lines as they must match) to whatever you prefer based on your search (1h, 4h, 5m, etc...)

gcusello
SplunkTrust
SplunkTrust

Hi kunalmao,
why you want to use tstats if the second solution solves your needs?
If the problem is performance, use | metasearch before index=*
Bye.
Giuseppe

guarisma
Contributor

I would do it by including  _time in the tstats' by statement

| tstats count where index=* by _time index | timechart span=1mon sum(count) by index

 

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!

Get Agentic with Splunk Lantern: Connect to Cisco Cloud Control, Transform ...

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

July Community Events: Master ITSI 5.0 & Automate Splunk

Struggling with alert fatigue or feeling like you're spending more time on infrastructure maintenance than ...

New Release of Federated Search: Bringing Splunk Analytics to More of Your Data

Organizations today are generating more data than ever and storing it across cloud object stores, data lakes, ...