Splunk Search

field extraction

nehamvinchankar
Path Finder

How to extract field from below event
I want nname,ID,app and Time , here nname is mule_330299_prod_App01_Clt1
ID=91826354-d521-4a01-999f-35953d99b829
app=870a76ea-8033-443c-a312-834363u3d
Time=2023-12-23T14:22:43.025Z

CSV Content:nname,Id,app,Time
mule_330299_prod_App01_Clt1,91826354-d521-4a01-999f-35953d99b829,870a76ea-8033-443c-a312-834363u3d,2023-12-23T14:22:43.025Z
mule_29999_dev_WebApp01_clt1,152g382226vi-44e6-9721-aa7c1ea1ec1b,26228e-28sgsbx-943b-58b20a5c74c6,2024-01-06T13:29:15.762867Z 


like this we have multiple lines in one event 

Labels (1)
0 Karma

yuanliu
SplunkTrust
SplunkTrust

Or, do you mean your events each has its own header like nname,Id,app,Time?  If that is the case, use this alternative:

| multikv forceheader=1

ITWhisperer
SplunkTrust
SplunkTrust

Do you mean something like this?

| makeresults
| eval _raw="mule_330299_prod_App01_Clt1,91826354-d521-4a01-999f-35953d99b829,870a76ea-8033-443c-a312-834363u3d,2023-12-23T14:22:43.025Z
mule_29999_dev_WebApp01_clt1,152g382226vi-44e6-9721-aa7c1ea1ec1b,26228e-28sgsbx-943b-58b20a5c74c6,2024-01-06T13:29:15.762867Z"
| multikv noheader=t
| rename Column_1 as nname
| rename Column_2 as ID
| rename Column_3 as app
| rename Column_4 as time

gcusello
SplunkTrust
SplunkTrust

hi @nehamvinchankar ,

please try the following regex:

| rex "^(?<nname>[^,]+),(?<Id>[^,]+),(?<app>[^,]+),(?<Time>.*)"

that you can test at https://regex101.com/r/Qd83YT/1

otherwise, you could use the guided field extraction with separators.

Ciao.

Giuseppe

Get Updates on the Splunk Community!

Observability Unlocked: Kubernetes Monitoring with Splunk Observability Cloud

  Ready to master Kubernetes and cloud monitoring like the pros?Join Splunk’s Growth Engineering team for an ...

Wrapping Up Cybersecurity Awareness Month

October might be wrapping up, but for Splunk Education, cybersecurity awareness never goes out of season. ...

🌟 From Audit Chaos to Clarity: Welcoming Audit Trail v2

&#x1f5e3; You Spoke, We Listened  Audit Trail v2 wasn’t written in isolation—it was shaped by your voices.  In ...