Briefly, this error occurs when Elasticsearch tries to stop a process that doesn’t exist or has already been stopped. This could be due to a programming error or a timing issue where the process has been stopped by another thread before the current thread could stop it. To resolve this issue, you can check your code to ensure that you’re not trying to stop a process that doesn’t exist or has already been stopped. You can also add error handling to catch this exception and handle it appropriately. Additionally, you can use synchronization to prevent multiple threads from stopping the same process simultaneously.
This guide will help you check for common problems that cause the log ” [{}] No process context to stop ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] No process context to stop” classname is DeploymentManager.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
ProcessContext processContext = processContextByAllocation.remove(task.getId());
if (processContext != null) {
logger.info("[{}] Stopping deployment; reason [{}]"; task.getDeploymentId(); task.stoppedReason().orElse("unknown"));
processContext.stopProcess();
} else {
logger.warn("[{}] No process context to stop"; task.getDeploymentId());
}
}
public void infer(
TrainedModelDeploymentTask task;
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