Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.
Try OpsGPT now for step-by-step guidance and tailored insights into your OpenSearch operation.
Briefly, this error occurs when an OpenSearch process or operation has been halted. This could be due to a variety of reasons such as system shutdown, resource exhaustion, or manual intervention. To resolve this issue, you can start by checking the system logs for any unusual activity or error messages. If the process was stopped manually, simply restarting it might solve the problem. If it’s a resource issue, consider scaling up your resources or optimizing your OpenSearch configuration to use resources more efficiently.
For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.
This guide will help you check for common problems that cause the log ” stopped ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: node.
Log Context
Log “stopped” classname is Node.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
pluginLifecycleComponents.forEach(LifecycleComponent::stop);
// we should stop this last since it waits for resources to get released
// if we had scroll searchers etc or recovery going on we wait for to finish.
injector.getInstance(IndicesService.class).stop();
logger.info("stopped");
return this;
}
// During concurrent close() calls we want to make sure that all of them return after the node has completed it's shutdown cycle.
