Splunk Search

Please help with Date extraction from below string

bhaskar5428
Explorer

i have system column "_time" with below output 

2022-03-16 11:12:18.723

i would like segregate date and time by rex command 

output should be like this with new column name 

Date = 2022-03-16

Time = 11:12:18

Labels (1)
0 Karma
1 Solution

ITWhisperer
SplunkTrust
SplunkTrust

If it is already in the _time field, it is probably already in epoch time format, so try this

| eval Date=strftime(_time,"%F")
| eval Time=strftime(_time,"%T")

View solution in original post

0 Karma

bhaskar5428
Explorer

index=app_events_fx4cash_uk_prod source=*STPManager-servicemanagement.20220316-111218.log*
| rex field=_time "^(?<date>\d\d\d\d-\d\d-\d\d)\s+(?<time>\d\d:\d\d:\d\d\.\d\d\d"
| table date,time

am using this but getting error 

Error in 'rex' command: Encountered the following error while compiling the regex '^(?<date>\d\d\d\d-\d\d-\d\d)\s+(?<time>\d\d:\d\d:\d\d\.\d\d\d': Regex: missing closing parenthesis.
The search job has failed due to an error. You may be able view the job in the 
0 Karma

gcusello
SplunkTrust
SplunkTrust

Hi @bhaskar5428,

sorry I missed a paranthesi at the end of the regex, please try this:

| rex field=_time "^(?<date>\d\d\d\d-\d\d-\d\d)\s+(?<time>\d\d:\d\d:\d\d\.\d\d\d)"

Ciao.

Giuseppe

0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

If it is already in the _time field, it is probably already in epoch time format, so try this

| eval Date=strftime(_time,"%F")
| eval Time=strftime(_time,"%T")
0 Karma

bhaskar5428
Explorer

Thanks , it worked 

0 Karma

gcusello
SplunkTrust
SplunkTrust

Hi @bhaskar5428,

let me understand: are you spoeaking of search time extraction or timestamp configuration?

if search time extraction, you could use a regex like this:

| rex "^(?<date>\d\d\d\d-\d\d-\d\d)\s+(?<time>\d\d:\d\d:\d\d\.\d\d\d"

Ciao.

Giuseppe

0 Karma
Get Updates on the Splunk Community!

Enter the Agentic Era with Splunk AI Assistant for SPL 1.4

  &#x1f680; Your data just got a serious AI upgrade — are you ready? Say hello to the Agentic Era with the ...

Feel the Splunk Love: Real Stories from Real Customers

Hello Splunk Community,    What’s the best part of hearing how our customers use Splunk? Easy: the positive ...

Data Management Digest – November 2025

  Welcome to the inaugural edition of Data Management Digest! As your trusted partner in data innovation, the ...