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Stacked Bar Chart Viz

Splunk AppInspect Passed
Admins: Please read about Splunk Enterprise 8.0 and the Python 2.7 end-of-life changes and impact on apps and upgradeshere.
Stacked Bar Chart visualization is built upon Apache ECharts library. It allows you to build a stacked bar chart, which can show the total duration as well as independent components duration with given order. The X axis will be the duration while Y axis is the time stamp, thus it can better handle long time range with small duration problem.


Bo Chen

Version Support

8.0, 7.3, 7.2, 7.1, 7.0

Who is this app for?

This app is for anyone who wants to visualise time duration in a transposed waterfall format.

How does the app work?

This app provides a visualization that you can use in your own apps and dashboards.

To use it in your dashboards, simply install the app, and create a search that provides the values you want to display in given order.

The expected data table should like this:

...| table _time, total, {p1}-offset, {p1}, {p2}-offset, {p2}, ...

where p1,p2 are the data pionts you want to show on it. -offset is mandatory for each data point even they are all 0.

For example:

...| table _time, total, data-1-offset, data-1, data-2-offset, data-2

  • _time column will be y Axis label
  • total column will be the the first bar in the chart and no offset needed
  • data-1-offset will be the second bar's offset in the chart and will not show
  • data-1 is the real second bar on chart and it continues for data-2-offset,data-2,...

Runnable Splunk query:
index=_internal thruput | table _time ,average_kbps, total_k_processed, kb, ev | where average_kbps !=0 AND total_k_processed!=0 AND kb!=0 AND ev!=0 | eval total=round(total_k_processed/10000,2) | eval kbps=round(average_kbps*10,2) | eval kb=round(kb,2) | eval ev=round(abs(total-ev),2) | eval kbps_offset=kb | eval kb_offset=kb+kbps | eval ev_offset=kb | table _time, total,kbps_offset, kbps,kb_offset,kb,ev_offset, ev | head 5

Release Notes

Issues and Limitations

No issues identified.

Privacy and Legal

No personally identifiable information is logged or obtained in any way through this visualizaton.

For support

Send email to 449072269@qq.com

Support is not guaranteed and will be provided on a best effort basis.


This visualization uses the echarts.js visualization library.

Release Notes

Version 0.1.0
Oct. 17, 2019


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