Getting Data In

Extract value from multiple events and find time delta

vanakkam
New Member

Sample log data
{‘job_id,:’1’, ‘stage_state’:’build_begin’,’stage_type:’build’,’start_time’:’2019-08-15 15:00:00’}
{‘job_id,:’1’, ‘stage_state’:’build_end’,’stage_type:’build’,’endtime’:’2019-08-15 15:10:00’}
{‘job_id,:’1’, ‘stage_state’:’exc_begin’,’stage_type:’exec’,’start_time’:’2019-08-15 15:10:01’}
stage_state’:’exc_end’,’stage_type:’exec’,’end_time’:’2019-08-15 15:20:00’}

I am trying get a table like this output
Job_id stage time taken

1 Build. 10
1 Exc. 10
1 Total. 20

I am new to Splunk I tried a few things but. I cannot get nothing close to expected answer

Thanks

Tags (1)
0 Karma
1 Solution

nareshinsvu
Builder

Try this: Watchout for your single quotes in the code. I have blindly used your raw data. Tweak the code as per your needs. Accept and/or upvote my reply if it helps. Good luck.

|makeresults 
| eval _raw=" {‘job_id,:’1’, ‘stage_state’:’build_begin’,’stage_type:’build’,’start_time’:’2019-08-15 15:00:00’} "
|append[
|makeresults 
| eval _raw="
{‘job_id,:’1’, ‘stage_state’:’build_end’,’stage_type:’build’,’end_time’:’2019-08-15 15:10:00’} "]
|append[
|makeresults 
| eval _raw="
{‘job_id,:’1’, ‘stage_state’:’exc_begin’,’stage_type:’exec’,’start_time’:’2019-08-15 15:10:01’}"]
|append[
|makeresults 
| eval _raw="
{‘job_id,:’1’, ‘stage_state’:’exc_end’,’stage_type:’exec’,’end_time’:’2019-08-15 15:20:00’} " ]
 `comment("Don't worry about anything above this line. It's just used for generating your raw data")`

| rex field=_raw "\’stage_type\:\’(?<Type>.*?)\s*\’\," 
|rex field=_raw "\’start_time\’\:\’(?<Start_Time>.*?)\s*\’" 
|rex field=_raw "\’end_time\’\:\’(?<End_Time>.*?)\s*\’" 
|rex field=_raw "\‘job_id\,\:\’(?<job_id>\d+)\’\," 
| transaction job_id startswith="end_time" endswith="start_time" 
| eval Diff_in_secs=strptime(End_Time, "%Y-%m-%d %H:%M:%S.%3N")-strptime(Start_Time, "%Y-%m-%d %H:%M:%S.%3N")
| eventstats sum(Diff_in_secs) as TotalDiff_in_secs
|table Start_Time End_Time Type Diff_in_secs TotalDiff_in_secs

View solution in original post

0 Karma

nareshinsvu
Builder

Try this: Watchout for your single quotes in the code. I have blindly used your raw data. Tweak the code as per your needs. Accept and/or upvote my reply if it helps. Good luck.

|makeresults 
| eval _raw=" {‘job_id,:’1’, ‘stage_state’:’build_begin’,’stage_type:’build’,’start_time’:’2019-08-15 15:00:00’} "
|append[
|makeresults 
| eval _raw="
{‘job_id,:’1’, ‘stage_state’:’build_end’,’stage_type:’build’,’end_time’:’2019-08-15 15:10:00’} "]
|append[
|makeresults 
| eval _raw="
{‘job_id,:’1’, ‘stage_state’:’exc_begin’,’stage_type:’exec’,’start_time’:’2019-08-15 15:10:01’}"]
|append[
|makeresults 
| eval _raw="
{‘job_id,:’1’, ‘stage_state’:’exc_end’,’stage_type:’exec’,’end_time’:’2019-08-15 15:20:00’} " ]
 `comment("Don't worry about anything above this line. It's just used for generating your raw data")`

| rex field=_raw "\’stage_type\:\’(?<Type>.*?)\s*\’\," 
|rex field=_raw "\’start_time\’\:\’(?<Start_Time>.*?)\s*\’" 
|rex field=_raw "\’end_time\’\:\’(?<End_Time>.*?)\s*\’" 
|rex field=_raw "\‘job_id\,\:\’(?<job_id>\d+)\’\," 
| transaction job_id startswith="end_time" endswith="start_time" 
| eval Diff_in_secs=strptime(End_Time, "%Y-%m-%d %H:%M:%S.%3N")-strptime(Start_Time, "%Y-%m-%d %H:%M:%S.%3N")
| eventstats sum(Diff_in_secs) as TotalDiff_in_secs
|table Start_Time End_Time Type Diff_in_secs TotalDiff_in_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!

Make Your Machine Data AI-Ready in Splunk

Every team is getting ready for AI agents.   Thursday, November 12, 2026  |  11AM  PST / 2PM EST   ...

Splunk Asynchronous Forwarding Explained

Splunk asynchronous forwarding is often misunderstood as simply setting autoLBVolume. That is not quite right. ...

How to Monitor AI Agents with Splunk Agent Observability

Let’s say I’m running a travel planning AI app in production. A user asks for three concise hotel options in ...