Dashboards & Visualizations

graph details

DTERM
Contributor

index=MyApp earliest=-30d@d-14h | where (date_hour>=10 AND date_hour<22) | bucket _time span=1d | stats count by _time | sort - _time | append [ search index=MyApp earliest=-30d@d-2h | where(date_hour<10 or date_hour>=22) | eval _time=if(date_hour<10, _time-86400, _time) | bucket _time span=1d | stats count by _time | sort - _time]

I'm using the query above to generate a graph of the number of tickets for two different support staff shifts. One shift is from 10:00 AM through 10:00 PM. The other shift is from 10:00 PM to 10:00 AM. Ultimately, I want two line graphs of the number of tickets each staff gets (to compare against each other).

The graph however is not helpful. Is there a way that I can provide different colors for the lines? Also, the legend has a single entry - "Count". Is there a way to modify or change the legend? Finally, there appears to be a third line (I'm guessing an average??) that appears as well. I don't want that.

Thanks in advance.

Tags (1)
0 Karma
1 Solution

fk319
Builder

First, when you do a 'stats' you can use the as option, 'stats count as "DayShift" by _time'.


I am thinking that I would redo your query a bit.

index=MyApp earliest=-30d@d-14h | eval Shift=if(10<=date_hour and date_hour<22,"Day","Night") | timechart span=1d count by Shift

View solution in original post

fk319
Builder

First, when you do a 'stats' you can use the as option, 'stats count as "DayShift" by _time'.


I am thinking that I would redo your query a bit.

index=MyApp earliest=-30d@d-14h | eval Shift=if(10<=date_hour and date_hour<22,"Day","Night") | timechart span=1d count by Shift

DTERM
Contributor

That is perfect. Thanks.

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!

Laser Bananas and Edge Hubs: Exploring Operational Technology (OT) Data Through a ...

  OT is a different environment to traditional IT and can have interesting challenges when interfacing the ...

Event Series: Mastering AI Tokenomics and Splunk Agent Observability

Beyond the Black Box: Correlating AI Performance and Tokenomics with Splunk Agent Observability   As ...

span_metrics: The OpenTelemetry-Idiomatic Way to See Inside Your Services

You open a trace in Splunk Observability Cloud and everything looks fine. One root span, order-pipeline, with ...