Splunk Search

How to check if values are incremental by 1 for a specific category

Nikitha
Explorer

Nikitha_0-1599812489183.png

If the above displayed data is the result for my stats command [stats values(Values) as Values by Category], how can I use the search to check if the values for each category are incremental by 1 and output the values that have been missed.

 I want the result to look like this :

Nikitha_1-1599812726846.png

Labels (5)
0 Karma
1 Solution

thambisetty
Super Champion

try below: 

| stats max(value) as max_value min(value) as min_value values(value) as values by Category
| eval all_numbers=mvrange(min_value,max_value+1)
| fields - max_value,min_value
| nomv values
| eval values=replace(values,"\s",",")
| mvexpand all_numbers
| eval is_found=if(match(values,all_numbers),1,0)
| search is_found=0
| stats values(all_numbers) as missing_values by Category

reference: https://community.splunk.com/t5/Splunk-Search/How-to-find-the-missing-number-sequence-from-a-table/m...

————————————
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View solution in original post

thambisetty
Super Champion

try below: 

| stats max(value) as max_value min(value) as min_value values(value) as values by Category
| eval all_numbers=mvrange(min_value,max_value+1)
| fields - max_value,min_value
| nomv values
| eval values=replace(values,"\s",",")
| mvexpand all_numbers
| eval is_found=if(match(values,all_numbers),1,0)
| search is_found=0
| stats values(all_numbers) as missing_values by Category

reference: https://community.splunk.com/t5/Splunk-Search/How-to-find-the-missing-number-sequence-from-a-table/m...

————————————
If this helps, give a like below.

thambisetty
Super Champion

It's possible to find before applying stats. after applying stats may be possible but it's not easy.

can you also confirm, if those values are in sequential with timestamp?

————————————
If this helps, give a like below.
0 Karma

ITWhisperer
SplunkTrust
SplunkTrust
| makeresults | eval event="{\"Category\":\"Cat1\",\"Values\":[1,2,3,5,7]}\n{\"Category\":\"Cat2\",\"Values\":[6,8,9,10]}"
| eval event=split(event,"\n")
| mvexpand event
| spath input=event
| rename Values{} as Values
| fields Category, Values
| fields - _time
| eval low=tonumber(mvindex(Values,0))
| eval high=tonumber(mvindex(Values,mvcount(Values)-1))
| eval expected=mvrange(low, high + 1)
| eval missing=mvmap(expected,if(isnull(mvfind(Values,expected)),expected,NULL()))
| fields Category, missing
| rename missing as Values
0 Karma
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