Dashboards & Visualizations

Can a time range picker in a dropdown override an explicit time setting on a dashboard panel?

Splunkstudent5
New Member

I have a dashboard and the panels are set to run at different timings as in 15 mins, 30 mins, 4 hrs, 8 hrs and 24 hrs as default - using the explicit time range picker.

If I add a dropdown and want to run the panels as per the dropdown then I choose the shared time picker, which will over-ride the option of explicit timepicker.

Here i am expecting to run the panels as per the timings given for each panel ( explicit timepicker) and if needed i want to run all panels by choosing the time from the dropdown using shared timepicker.

If i refresh the page then the panels will need to run as per the time settings on each panel.

I want to know if its possible or not, and if we can how it can be done to run the panels as per my choice of using both shared timepicker & explicit timepicker.
( Not sure if Token or Global options can do anything in this case)

Please let me know.

Many thanks

0 Karma

gcusello
SplunkTrust
SplunkTrust

Hi Splunkstudent5,
the presence of explicit time range (earliest and latest fields) override each input and it isn't possible to modify them.
The only way is to not use explicit time range, use the Time Picker Tokens and define a default for the Time Picker.
Bye.
Giuseppe

0 Karma
Career Survey
First 500 qualified respondents will receive a $20 gift card! Tell us about your professional Splunk journey.

Can’t make it to .conf25? Join us online!

Get Updates on the Splunk Community!

Take Action Automatically on Splunk Alerts with Red Hat Ansible Automation Platform

 Are you ready to revolutionize your IT operations? As digital transformation accelerates, the demand for ...

Calling All Security Pros: Ready to Race Through Boston?

Hey Splunkers, .conf25 is heading to Boston and we’re kicking things off with something bold, competitive, and ...

Beyond Detection: How Splunk and Cisco Integrated Security Platforms Transform ...

Financial services organizations face an impossible equation: maintain 99.9% uptime for mission-critical ...