Splunk Enterprise Security

Splunk Enterprise Security: How to do conditional regex?

mikeyph
New Member

I'm trying to unify records from two different indexes, as part of this I'm trying to create a common field by extracting user ID's from existing fields (these are full of other data I don't want and which isn't unified). It's working in so far as my regex matches as expected, however there are variants in userID types, such as emails with first and surname, emails with a single name, a one-word user ID etc.
I can regex for these easily enough but it will overwrite the previous field contents for my working regex, and I want all input into 1 field.

How do I do conditional regex?
i.e. where first regex fails to match on record, try next regex.

Below is an example I have that is correctly returning the fullname email into the new field.
This obviously doesn't match on any of the other examples I gave- meaning I have multiple blank cells.

|rex field=first_index_field \{\"id\"\:\"(?<Common_Field>\w+\.\w+\@\w+\.\w+)
|rex field=second_index_field .*sername\=(?<Common_Field>\w+\.\w+\@\w+\.\w+)
0 Karma

gcusello
SplunkTrust
SplunkTrust

HI @mikeyph,
you could extract all the fullnames using different regex for each sourcetype as you did but with different field names (e.g. Common_Field1, Common_Field2) and then unify them using coalesce:

my_search
|rex field=first_index_field \{\"id\"\:\"(?<Common_Field1>\w+\.\w+\@\w+\.\w+)
|rex field=second_index_field .*sername\=(?<Common_Field2>\w+\.\w+\@\w+\.\w+)
| eval Common_Field=coalesce(Common_Field1,Common_Field2)
| ...

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!

Mastering Threat Intelligence in ES 8.5, Splunk AI Assistant v2, and More from Splunk ...

Splunk Lantern is Splunk’s customer success center that provides practical guidance from Splunk experts on key ...

Break the Build: Inside the KubeDoom Lounge at .conf26

    You step up to the machine. The pixelated corridors of a certain 1993 FPS load in front of you, EMP Pulse ...

Splunk Auto Ingestion Parallel Pipeline Scaling

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