Splunk Enterprise

DFS manager: Spark node failed to initialize

rabindrakumarpa
Explorer

Hi All,

Post deploying DFS manager on search Head(Master), when I am trying to start splunk, I am seeing below error:

“The Spark node failed to initialize" after debug message “Building configuration information”.

Also, DFS manager(Application Page) says "Unable to connect Spark master", although Splunk searchhead is working fine.

Checked and ports are open 8005-8010, Changed Java_home in splunk_dfs_manager.sh and spark_app.conf as it was complaining about missing Java_home.

Attaching snippet of Splunkd log.

Please advise.

Labels (1)
0 Karma

burwell
SplunkTrust
SplunkTrust

Have you tried the newest DFS manager 1.2.1? That might help.

rabindrakumarpa
Explorer

I just reworked with DFS manager 1.2.1.. Although the message is little meaningful but yet problem persists..

"Failed to get spark home path from app configuration."

I checked spark_app.conf, it seems to be proper.. However, server.conf is having sparkhome as blank... I attempted to update that as well and tried but issue remained the same.

spark_home = /opt/splunk/etc/apps/splunk_dfs_manager/vendor/spark-2.3.3-bin-hadoop2.7

 

Thanks In advance.

 

 

0 Karma

rabindrakumarpa
Explorer
 
0 Karma

burwell
SplunkTrust
SplunkTrust

I don't have spark_home set and don't have an issue.

I think you should file a case with Splunk support. DFS config with the splunk_dfs_manager is definitely finicky.

0 Karma

rabindrakumarpa
Explorer

Thank You! Sure we will raise case with splunk..

Do we have any recommended configuration strategy to enable data Fabric search without DFS manager .. ?  Any doc/Link in that line will be quite helpful..

We are following..

https://docs.splunk.com/Documentation/DFS/1.1.1/DFS/InstallationChecklist

Thanks in advance..

0 Karma

burwell
SplunkTrust
SplunkTrust

Hi.  I was a beta tester of Splunk 7.3.1 and we "rolled our own" as the DFS manager was not available.

Starting with 8.0 we used the DFS manager. 

The documentation says they don't support rolling your own.

You have to install Spark 2.3.3 and Java yourself on your Spark nodes and manage the Spark configurations.

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!

Laser Bananas and Edge Hubs: Exploring Operational Technology (OT) Data Through a ...

  OT is a different environment to traditional IT and can have interesting challenges when interfacing the ...

Event Series: Mastering AI Tokenomics and Splunk Agent Observability

Beyond the Black Box: Correlating AI Performance and Tokenomics with Splunk Agent Observability   As ...

span_metrics: The OpenTelemetry-Idiomatic Way to See Inside Your Services

You open a trace in Splunk Observability Cloud and everything looks fine. One root span, order-pipeline, with ...