All Apps and Add-ons

How do i split a specific date format using rex field

umithchada
Explorer

Hello Team,

 

I have the specific data:

1-10:20:30 (This stands for 1 day 10 hours 20 minutes 30 seconds)

10:20:30 (This stands for 10 hours 20 minutes 30 seconds)

20:30 (This stands for 10 hours 20 minutes 30 seconds)

I would like to create a table where I get the output in seconds

ELAPSED |  seconds_elapsed

1-10:20:30  |  123630

10:20:30  |  37230

20:30  |  1230

 

Below is the rex format i am using to get this data. But for the last entry (20:30), i am getting an empty output. Is there a way to fix this?

| rex field=ELAPSED "((?<dd>\d+)\-?)((?<hh>\d+)\:?)((?<mm>\d+)\:)?(?<ss>\d+)$"
| eval elapsed_secs=(dd * 86400) + (hh * 3600) + (mm * 60) + (ss*1)
| table ELAPSED seconds_elapsed _time

 

Labels (1)
Tags (3)
0 Karma

gcusello
SplunkTrust
SplunkTrust

Hi @umithchada ,

please try this:

| rex field=ELAPSED "(?<dd>\d*)\-?(?<hh>\d*)\:?(?<mm>\d*)\:?(?<ss>\d*)$"
| eval elapsed_secs=(dd * 86400) + (hh * 3600) + (mm * 60) + (ss*1)
| table ELAPSED seconds_elapsed _time

You can test the regex at https://regex101.com/r/VfyG4S/1

Ciao.

Giuseppe

0 Karma

umithchada
Explorer

Hello,

Unfortunately this is giving me blank entries if the duration is under a day.

 

We figured it out, and this logic seems to be working:

 

| rex field=ELAPSED  "((?<dd>\d*)-?)?((?<hh>\d+):?)?((?<mm>\d*):?)?(?<ss>\d+)$"
| rex field=ELAPSED  "((?<hhh>\d+):?)?((?<mmm>\d*):?)?(?<sss>\d+)$"
| rex field=ELAPSED "((?<mmmm>\d*):?)?(?<ssss>\d+)$"
| eval dd=If(isnotnull(hh),dd,0)
| eval hhh=If('mm'='mmm',hhh,0)
| eval mm=If('ss'='ssss',mmmm,0)
| eval elapsed_secs = coalesce((if(isnotnull(dd),dd,0)*86400)+(if(isnotnull(hh),hh,0)*3600)+(if(isnotnull(mm),mm,0)*60)+if(isnotnull(ss),ss,0),0)
| table ELAPSED elapsed_secs

 

0 Karma
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!

Persistent Queue at TcpOut — One of Splunk's Most Practical Features

Splunk introduced persistent queueing at the tcpout layer as one of the most practical resilience features in ...

Build resilience for the agentic era: Join us at Splunk Go San Jose

AI is changing how organizations build, operate, and secure digital services. As teams adopt AI agents and ...

Manage Edge Processor pipelines end to end with APIs

This guide uses the Data Management APIs to create an Edge Processor, onboard one instance, deploy a pipeline ...