Splunk Search

How do I divide data in a column based on their values?

nikita012
New Member

I have two fields in my data. Below is an example.The actual data contains 100 rows.

Store Minutes
81145 33
81234 42
87654 120
87699 400

I want the data in the below manner.

|||| shows separation of columns. 

40>Minutes>30 ||||||||500>Minutes>100
81145,81234||||||||||||87654,87699

Can you please provide the code for the same?

0 Karma
1 Solution

knielsen
Contributor

Hi,

Someone will probably come up with a rangemap based solution. I played around with something else here, you could try

<your base search> | streamstats values(eval(if(Minutes>100 AND Minutes<500, Store, null()))) as a, values(eval(if(Minutes>30 AND Minutes<40, Store, null()))) as b | tail 1 | eval a=mvjoin(a,","), b=mvjoin(b,",") | table a b | rename a as "40>Minutes>30", b as "500>Minutes>100"

Adjust the parameters to your need and add as many more columns as needed.

To test this out, I used your example data (changing 42 to 32 so it actually falls into the first category) in a run-everywhere snippet:

| makeresults | eval input="81135,33%81234,32%87654,120%87699,400" | makemv delim="%" input | mvexpand input | rex field=input "(?<Store>\d+),(?<Minutes>\d+)" | streamstats values(eval(if(Minutes>100 AND Minutes<500, Store, null()))) as a, values(eval(if(Minutes>30 AND Minutes<40, Store, null()))) as b | tail 1 | eval a=mvjoin(a,","), b=mvjoin(b,",") | table a b | rename a as "40>Minutes>30", b as "500>Minutes>100"

Hth, but wait for someone else to jump in. I am sure there is a more elegant solution. 😉

View solution in original post

0 Karma

knielsen
Contributor

Hi,

Someone will probably come up with a rangemap based solution. I played around with something else here, you could try

<your base search> | streamstats values(eval(if(Minutes>100 AND Minutes<500, Store, null()))) as a, values(eval(if(Minutes>30 AND Minutes<40, Store, null()))) as b | tail 1 | eval a=mvjoin(a,","), b=mvjoin(b,",") | table a b | rename a as "40>Minutes>30", b as "500>Minutes>100"

Adjust the parameters to your need and add as many more columns as needed.

To test this out, I used your example data (changing 42 to 32 so it actually falls into the first category) in a run-everywhere snippet:

| makeresults | eval input="81135,33%81234,32%87654,120%87699,400" | makemv delim="%" input | mvexpand input | rex field=input "(?<Store>\d+),(?<Minutes>\d+)" | streamstats values(eval(if(Minutes>100 AND Minutes<500, Store, null()))) as a, values(eval(if(Minutes>30 AND Minutes<40, Store, null()))) as b | tail 1 | eval a=mvjoin(a,","), b=mvjoin(b,",") | table a b | rename a as "40>Minutes>30", b as "500>Minutes>100"

Hth, but wait for someone else to jump in. I am sure there is a more elegant solution. 😉

0 Karma

nikita012
New Member

Thanks it worked perfectly.

0 Karma

p_gurav
Champion

try this:

<your search> | eval level=case(minutes<50 AND minutes>30, "50>Minutes>30", minutes<500 AND minutes>100, "500>Minutes>100" ) | chart values(store) as store over level by _time
0 Karma
Get Updates on the Splunk Community!

Splunk Custom Visualizations App End of Life

The Splunk Custom Visualizations apps End of Life for SimpleXML will reach end of support on Dec 21, 2024, ...

Introducing Splunk Enterprise 9.2

WATCH HERE! Watch this Tech Talk to learn about the latest features and enhancements shipped in the new Splunk ...

Adoption of RUM and APM at Splunk

    Unleash the power of Splunk Observability   Watch Now In this can't miss Tech Talk! The Splunk Growth ...