Splunk Search

Show increasing values with dropoff

jlieberg
Engager

I have a data set similar to the following:

"_time",source,increment
"2020-02-26","third",
"2020-02-25","third","yes"
"2020-02-21","third",
"2020-02-20","third","yes"
"2020-02-29","second",
"2020-02-28","second","yes"
"2020-02-27","second","yes"
"2020-02-26","second","yes"
"2020-02-25","second","yes"
"2020-02-24","second","yes"
"2020-02-23","second","yes"
"2020-02-22","second","yes"
"2020-03-01","first",
"2020-02-29","first","yes"

I would like to make this chart with first=blue, second=red, and third=green:
alt text

So for each yes in the increment column add 1 to the current count for the source, else reset the count back to 0. If a source does not have a reset column it should continue at the current count to the end of the chart.

Is this possible?

0 Karma
1 Solution

manjunathmeti
Champion

Hi @jlieberg,

Yes, this is possible with below query:

| makeresults 
| eval _raw="time,source,increment
2020-02-26,third,
2020-02-25,third,yes
2020-02-21,third,
2020-02-20,third,yes
2020-02-29,second,
2020-02-28,second,yes
2020-02-27,second,yes
2020-02-26,second,yes
2020-02-25,second,yes
2020-02-24,second,yes
2020-02-23,second,yes
2020-02-22,second,yes
2020-03-01,first,
2020-02-29,first,yes" 
| multikv forceheader=1 
| sort source, time 
| streamstats count(increment) as step by source reset_after="("isnull(increment)")" 
| eval step=if(increment=="yes", step, 0) 
| xyseries time source step

Once you run the search, go to Visualization tab and select Column Chart.

alt text

In your search query you can add this:

| eval time=strftime(_time, "%y-%m-%d")
| sort source, time 
| streamstats count(increment) as step by source reset_after="("isnull(increment)")" 
| eval step=if(increment=="yes", step, 0) 
| xyseries time source step

View solution in original post

manjunathmeti
Champion

Hi @jlieberg,

Yes, this is possible with below query:

| makeresults 
| eval _raw="time,source,increment
2020-02-26,third,
2020-02-25,third,yes
2020-02-21,third,
2020-02-20,third,yes
2020-02-29,second,
2020-02-28,second,yes
2020-02-27,second,yes
2020-02-26,second,yes
2020-02-25,second,yes
2020-02-24,second,yes
2020-02-23,second,yes
2020-02-22,second,yes
2020-03-01,first,
2020-02-29,first,yes" 
| multikv forceheader=1 
| sort source, time 
| streamstats count(increment) as step by source reset_after="("isnull(increment)")" 
| eval step=if(increment=="yes", step, 0) 
| xyseries time source step

Once you run the search, go to Visualization tab and select Column Chart.

alt text

In your search query you can add this:

| eval time=strftime(_time, "%y-%m-%d")
| sort source, time 
| streamstats count(increment) as step by source reset_after="("isnull(increment)")" 
| eval step=if(increment=="yes", step, 0) 
| xyseries time source step

jlieberg
Engager

Wow, that is really cool! I did change increment=="yes" to !isnull(increment) to be more flexible, but this is a cool solution that I figured had to be possible. My actual date ranges are longer than in this example, and I was hoping I could use some kind of "stepped" area chart that didn't interpolate between points, do you know if that is possible?

0 Karma
Get Updates on the Splunk Community!

Splunk Mobile: Your Brand-New Home Screen

Meet Your New Mobile Hub  Hello Splunk Community!  Staying connected to your data—no matter where you are—is ...

Introducing Value Insights (Beta): Understand the Business Impact your organization ...

Real progress on your strategic priorities starts with knowing the business outcomes your teams are delivering ...

Enterprise Security (ES) Essentials 8.3 is Now GA — Smarter Detections, Faster ...

As of today, Enterprise Security (ES) Essentials 8.3 is now generally available, helping SOC teams simplify ...