Reporting

Stacked Bar Using Pivot

ShaneNewman
Motivator

Is there a way to create a report similar to a stacked bar timechart using the pivot model?

Tags (2)
0 Karma
1 Solution

somesoni2
Revered Legend

Will this work? (based on Splunk's sample data model internal_server)

<dashboard>
  <label>StackedPivot</label>
  <row>
    <chart>
      <searchString>| pivot internal_server server count(sourcetype) AS "Count" SPLITROW _time AS "_time" PERIOD minute SPLITCOL sourcetype SORT 0 _time NUMCOLS 100</searchString>
      <earliestTime>-60m@m</earliestTime>
      <latestTime>now</latestTime>
      <option name="charting.axisY.scale">linear</option>
      <option name="charting.axisX.scale">linear</option>
      <option name="charting.axisTitleY.text">Count</option>
      <option name="charting.legend.placement">right</option>
      <option name="charting.legend.labelStyle.overflowMode">ellipsisMiddle</option>
      <option name="charting.chart.stackMode">stacked</option>
      <option name="charting.chart.nullValueMode">gaps</option>
      <option name="charting.chart.sliceCollapsingThreshold">0.01</option>
      <option name="charting.chart.style">shiny</option>
      <option name="charting.axisTitleX.visibility">visible</option>
      <option name="charting.axisTitleY.visibility">visible</option>
      <option name="charting.chart">bar</option>
      <option name="charting.drilldown">all</option>
      <option name="charting.layout.splitSeries">0</option>
    </chart>
  </row>
</dashboard>

View solution in original post

somesoni2
Revered Legend

Will this work? (based on Splunk's sample data model internal_server)

<dashboard>
  <label>StackedPivot</label>
  <row>
    <chart>
      <searchString>| pivot internal_server server count(sourcetype) AS "Count" SPLITROW _time AS "_time" PERIOD minute SPLITCOL sourcetype SORT 0 _time NUMCOLS 100</searchString>
      <earliestTime>-60m@m</earliestTime>
      <latestTime>now</latestTime>
      <option name="charting.axisY.scale">linear</option>
      <option name="charting.axisX.scale">linear</option>
      <option name="charting.axisTitleY.text">Count</option>
      <option name="charting.legend.placement">right</option>
      <option name="charting.legend.labelStyle.overflowMode">ellipsisMiddle</option>
      <option name="charting.chart.stackMode">stacked</option>
      <option name="charting.chart.nullValueMode">gaps</option>
      <option name="charting.chart.sliceCollapsingThreshold">0.01</option>
      <option name="charting.chart.style">shiny</option>
      <option name="charting.axisTitleX.visibility">visible</option>
      <option name="charting.axisTitleY.visibility">visible</option>
      <option name="charting.chart">bar</option>
      <option name="charting.drilldown">all</option>
      <option name="charting.layout.splitSeries">0</option>
    </chart>
  </row>
</dashboard>

helge
Builder

So the trick is to splitrow by _time and splitcol by what you want stacked. Thanks for shraring!

0 Karma

somesoni2
Revered Legend

End users can use the pivot search in Search app and selecting required visualization options. Same can be done from the Pivot (create/update) view. (this code is the saved pivot report from Pivot view)

ShaneNewman
Motivator

It will in a dashboard view, I am trying to figure out if I can let end users do it in the Pivot panel...

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!

Best Practices: Splunk auto adjust pipeline queue

When you enable autoAdjustQueue in Splunk, maxSize should be understood as the queue size Splunk starts with ...

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 ...