I will show an example using this run everywhere command and explain it line by line:
First is the base search:
index=_internal sourcetype=splunkd splunk_server=local earliest=-1h@h latest=-0h@h
Next we do some eval to get some fake isFailure field:
| eval isFailure=if(searchmatch("source"),1,0)
Now comes the trick, do a simple stats count AS .. and provide any further needed values as well:
| stats count as myCount sum(isFailure) AS isFailure
Next, check if there were no search results, if so set the value of isFailure to "0" .If there were search results, set isFailure to the sum of the isFailure field:
| eval isFailure=if(myCount=="0",0,isFailure)
Now set the failuresCategory to different levels:
| eval failuresCategory = case(isFailure=0,"low",isFailure<1000,"elevated",isFailure>=1000,"severe")
and finally display it using table
| table myCount, failuresCategory, isFailure
Now, let do the no results search and see if this works:
index=_internal sourcetype=splunkd splunk_server=local earliest=-1h@h latest=-0h@h this will bring back no results from the base search
| eval isFailure=if(searchmatch("source"),1,0)
| stats count as myCount sum(isFailure) AS isFailure
| eval isFailure=if(myCount=="0",0,isFailure)
| eval failuresCategory = case(isFailure=0,"low",isFailure<1000,"elevated",isFailure>=1000,"severe")
| table myCount, failuresCategory, isFailure
and the result looks like this:
Instead of table you can use any command like chart or rangemap as well.
hope this helps ...
cheers, MuS
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