Splunk Search

how to get stats count from 3 multile-value fields

cheriemilk
Path Finder

Hi team,

I have below kind of data in splunk, it contains 3 fields ISRF, DSRF and DSFF.  they are all multi-value fields.

 

2021-10-13 19:26:46,813 ISRF="[fullName,managerFullName,title,userName,division,department,location]" DSRF="[fullName,managerFullName,title,userName,division,department,location]" DSFF="[managerFullName,division,department,location,jobCodereasonForLeaving]"
2021-10-12 19:32:31,504  ISRF="[fullName,managerFullName,userName,division,department,location]" C_DSRF="[fullName,managerFullName,title,userName,division,department,location]" DSFF="[managerFullName,division,department,location,custom05,jobCode,riskOfLoss,impactOfLoss,reasonForLeaving]"   
......
......

 

 

I expect the report like below format:

fieldscount Of ISRFcount Of DSRFcount of DSFF
fullName220
managerFullName222
title120
......   
......   
resonForLeaving001

 

I am trying below queries, and I am blocked how to continue for getting expected format table.

 

<baseQuery>
|eval includeSearchResultField=replace(replace(C_ISRF,"\[",""),"\]",""), 
      defaultSearchResultField=replace(replace(C_DSRF,"\[",""),"\]",""), 
      filterFields=replace(replace(C_DSFF,"\[",""),"\]","") 
|makemv delim="," includeSearchResultField
|makemv delim="," defaultSearchResultField
|makemv delim="," filterFields

 

 

Labels (1)
0 Karma
1 Solution

ITWhisperer
SplunkTrust
SplunkTrust

Here is one way to do it - the part before the blank lines just sets up the dummy data

| makeresults
| eval _raw="2021-10-13 19:26:46,813 ISRF=\"[fullName,managerFullName,title,userName,division,department,location]\" DSRF=\"[fullName,managerFullName,title,userName,division,department,location]\" DSFF=\"[managerFullName,division,department,location,jobCodereasonForLeaving]\"
2021-10-12 19:32:31,504  ISRF=\"[fullName,managerFullName,userName,division,department,location]\" DSRF=\"[fullName,managerFullName,title,userName,division,department,location]\" DSFF=\"[managerFullName,division,department,location,custom05,jobCode,riskOfLoss,impactOfLoss,reasonForLeaving]\""
| multikv noheader=t
| table _raw



| extract pairdelim=" ", kvdelim="="
| foreach *
    [| eval <<FIELD>>=split(trim(<<FIELD>>,"[]"),",")]
| fields - _raw
| eval row=1
| untable row field values
| rex max_match=0 field=values "(?<values>\S+)\s*"
| mvexpand values
| stats count by field values
| xyseries values field count
| fillnull value=0

View solution in original post

cheriemilk
Path Finder

@ITWhisperer  Thank you for the solution.

0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

Here is one way to do it - the part before the blank lines just sets up the dummy data

| makeresults
| eval _raw="2021-10-13 19:26:46,813 ISRF=\"[fullName,managerFullName,title,userName,division,department,location]\" DSRF=\"[fullName,managerFullName,title,userName,division,department,location]\" DSFF=\"[managerFullName,division,department,location,jobCodereasonForLeaving]\"
2021-10-12 19:32:31,504  ISRF=\"[fullName,managerFullName,userName,division,department,location]\" DSRF=\"[fullName,managerFullName,title,userName,division,department,location]\" DSFF=\"[managerFullName,division,department,location,custom05,jobCode,riskOfLoss,impactOfLoss,reasonForLeaving]\""
| multikv noheader=t
| table _raw



| extract pairdelim=" ", kvdelim="="
| foreach *
    [| eval <<FIELD>>=split(trim(<<FIELD>>,"[]"),",")]
| fields - _raw
| eval row=1
| untable row field values
| rex max_match=0 field=values "(?<values>\S+)\s*"
| mvexpand values
| stats count by field values
| xyseries values field count
| fillnull value=0
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Thanks for the Memories: .conf26 Took Learning to New Heights

Thank you, Splunk Community, for making .conf26 in Denver one for the books. From packed Splunk University ...

Best Practices: Splunk auto adjust pipeline queue

When you enable autoAdjustQueue in Splunk, maxSize should be understood as the queue size Splunk starts with ...

Splunk Auto Ingestion Parallel Pipeline Scaling

Why this feature matters Many Splunk environments experience ingestion pressure long before the host is fully ...