All Apps and Add-ons

How to handle huge data in Splunk custom command

Elysium
Loves-to-Learn

Hi,

We have implemented a custom command which queries the external rest api and pulls the data to splunk search page. The challenge we are facing is when the response data is huge Splunk search page is waiting for couple of minutes(more than 5 minutes) with out showing any data.

The result of the api's comes in the form of partitions. Lets say, if we have 100k records in the api rsult, All those 100k rows would be splitting up into 100 partitions and we need to iterate over 100 times to get all the 100k records.

Similarly if we could send the partition data to splunk and get the results appended to the splunk page as and when we get data for all partitions, we can have end user see the data as soon as possible instead of waiting for couple of minutes.

My custom command is generating custom command. I would like to know if there is any way to send the data in chunks to Splunk page instead waiting to pull all the 100k records. We tried couple of ways like yield (our code is in Python and using Splunk python SDK), enabling streaming attribute etc.

Please help me here to figure out a way to send the data in chunks for the generating custom command.

Thanking you.

Labels (1)
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!

Index This | What travels the world but is also stuck in place?

April 2026 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Discover New Use Cases: Unlock Greater Value from Your Existing Splunk Data

Realizing the full potential of your Splunk investment requires more than just understanding current usage; it ...

Continue Your Journey: Join Session 2 of the Data Management and Federation Bootcamp ...

As data volumes continue to grow and environments become more distributed, managing and optimizing data ...