Briefly, this error occurs when Elasticsearch is being shut down or halted due to various reasons such as configuration issues, insufficient resources, or a forced stop command. To resolve this, you can check the Elasticsearch logs for more detailed error messages. Ensure that the configuration files are correct and that there are sufficient resources (CPU, memory, disk space). If the stop was intentional but unexpected results occurred, consider a graceful shutdown to prevent data loss. Lastly, ensure the health of your Elasticsearch cluster and nodes before restarting the service.
This guide will help you check for common problems that cause the log ” [{}] Stopping deployment ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] Stopping deployment” classname is DeploymentManager.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
ProcessContext processContext;
synchronized (processContextByAllocation) {
processContext = processContextByAllocation.get(task.getId());
}
if (processContext != null) {
logger.info("[{}] Stopping deployment"; task.getModelId());
processContext.stopProcess();
} else {
logger.warn("[{}] No process context to stop"; task.getModelId());
}
}
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