Splunk Search

Find Difference between multiple events

rkmaggidi
New Member

TransID AppName timestamp Messagge
1 App1 2019-12-16 18:18:43.731 +0000 Message……
1 App1 2019-12-16 18:18:43.732 +0000 Before call: 1
1 App2 2019-12-16 18:18:43.743 +0000 Message…..
1 App2 2019-12-16 18:18:43.745 +0000 Message…..
1 App1 2019-12-16 18:18:43.807 +0000 After Call: 1
1 App1 2019-12-16 18:18:43.809 +0000 Message………
2 App1 2019-12-16 18:22:37.720 +0000 Message……
2 App1 2019-12-16 18:22:37.724 +0000 Before call: 2
2 App2 2019-12-16 18:22:37.755 +0000 Message…..
2 App2 2019-12-16 18:22:37.760 +0000 Message…..
2 App1 2019-12-16 18:22:37.820 +0000 After Call: 2
2 App1 2019-12-16 18:22:37.822 +0000 Message………

I have data in above format and I want to get the output as a report which shows how much time each AppName takes to process a tarnsaction. in below format:

TransID App1 App2 ....
1 0.002 0.002 ....
2 0.006 0.005 ...

I tried using transaction command but it gives me the duration based on the first and last event. but In my case I need how much time a transaction was in a particular app?

Thanks.

0 Karma
1 Solution

richgalloway
SplunkTrust
SplunkTrust

You should be able to do that with stats. First, convert the timestamp field into epoch form so the difference can be computed.

... | eval ts=strptime(timestamp, "%Y-%m-%d %H:%M:%S.%3N")
| stats range(ts) by TransID AppName
---
If this reply helps you, Karma would be appreciated.

View solution in original post

0 Karma

richgalloway
SplunkTrust
SplunkTrust

You should be able to do that with stats. First, convert the timestamp field into epoch form so the difference can be computed.

... | eval ts=strptime(timestamp, "%Y-%m-%d %H:%M:%S.%3N")
| stats range(ts) by TransID AppName
---
If this reply helps you, Karma would be appreciated.
0 Karma

rkmaggidi
New Member

Thanks it worked 🙂

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 ...

Skip the Awkward Silence: Have a .conf-ersation at .conf26

Picture this. You arrive at .conf26 already having your socializing and networking plans mapped out. No ...

Rethinking Zero Trust: From Product Purchases to Logical Control Evidence

Implementing Zero Trust (ZT) across complex environments often falters at the very beginning due to a ...