Splunk Search

Join turns off predicate pushdown optimization

aasfga
New Member

Hi,
I have problem with optimizer. It doesn't make pushdown optimization when I'm using join. I have event dataset with some eval fields and regex fields that I'm searching from. My query looks like this:

| from datamodel:"My cool ED"
| search index=A host=B <- important filter
...
and this works fine because Splunk optimizer sees that it can move "important filter to the beginning. After optimize it looks like this:

search (index=A host=B) " my cool ED query"
...

However when I add join after search:
| from datamodel:"My cool ED"
| search index=A host=B <- important filter
| join key [ subsearch from other datamodel ]
...

my important filter is not optimized and stays where it is. Can I force optimizer so it moves index filter to the beginning of optimized query?

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 ...