Splunk Search

Field extraction for multiple types of values

srinivasgowda
Explorer

Hello all,

I am trying to extract the data from the field evtComponent from the below event, and this has a multiple types of data that is coming in as below.

1) ZENOSS-MIB::evtComponent = STRING: "HostSystem_host-1240" ZENOSS-MIB::evtClass = STRING: "/Status/Ping"

2) ZENOSS-MIB::evtComponent = STRING: "\"London\"" ZENOSS-MIB::evtClass = STRING:

 

The highlighted fields needs to be extracted, however when I use the below extraction this only satisfies the correct extraction on example 1 but fails to just extract the field from example 2. Can you please suggest.

Below is the extraction that I am using.

ZENOSS-MIB::evtComponent = STRING: \"(?<component>.*)\"\s+ZENOSS-MIB::evtClass\s

 

Thank you.

Labels (2)
0 Karma

srinivasgowda
Explorer

This worked. Thank you @gcusello 

0 Karma

gcusello
SplunkTrust
SplunkTrust

Hi @srinivasgowda,

you should try to use two regexes:

the first

| rex "evtComponent\s+\=\s+STRING:\s+\"(?<evtComponent>[^\"]+)\"\s+"

that you can test at https://regex101.com/r/Ip8Vj2/1

the second

| rex "evtComponent\s+\=\s+STRING:\s+\"\\\"(?<evtComponent>[^\\]+)"

that you can test at https://regex101.com/r/Ip8Vj2/2

Ciao.

Giuseppe

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!

Index This | What travels the world but is also stuck in place?

April 2026 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Discover New Use Cases: Unlock Greater Value from Your Existing Splunk Data

Realizing the full potential of your Splunk investment requires more than just understanding current usage; it ...

Continue Your Journey: Join Session 2 of the Data Management and Federation Bootcamp ...

As data volumes continue to grow and environments become more distributed, managing and optimizing data ...