Splunk Search

Splunk table and regex filter

mnjmht18
New Member

I have following data in "log" field,
date1 name : message one
date2 name : message two
date3 name : message one
date4 name : message one
date5 name : message three
date6 name : message three

i want to filter this and create a table as below,
columns
log - count
message one - 3
message two - 1
message three - 2

how can i achieve this?

0 Karma

vnravikumar
Champion

Hi @mnjmht18

Try any one of the following

| makeresults 
| eval log="date1 name : message one,date2 name : message two,date3 name : message one,date4 name : message one,date5 name : message three,date6 name : message three" 
| makemv delim="," log 
| mvexpand log 
| rex field=log "name :\s+(?P<log>[^:]+)$" 
| stats count by log

or

| makeresults 
| eval log="date1 name : message one,date2 name : message two,date3 name : message one,date4 name : message one,date5 name : message three,date6 name : message three" 
| makemv delim="," log 
| mvexpand log 
| eval log= mvindex(split(log,"name :"),-1) 
| stats count by log
0 Karma

richgalloway
SplunkTrust
SplunkTrust

Try this query.

... | rex field=log "name : (?<log>.*)"
| stats count by log
---
If this reply helps you, Karma would be appreciated.
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!

ATTENTION: We’re Moving! (AGAIN!)

The Splunk Community Slack is undergoing a system migration to keep our workspace secure and ...

Deep Dive: Optimizing Telemetry Pipelines in Splunk Observability Cloud

In this session, we will peel back the layers of Splunk Observability Cloud’s cost-optimization features. ...

Announcing Modern Navigation: A New Era of Splunk User Experience

We are excited to introduce the Modern Navigation feature in the Splunk Platform, available to both cloud and ...