Briefly, this error occurs when the machine learning inference process in Elasticsearch encounters an issue and crashes. This could be due to insufficient resources, corrupted models, or software bugs. To resolve this, you can try increasing the system resources, checking the integrity of your machine learning models, or updating Elasticsearch to the latest version to fix potential bugs. Additionally, check the Elasticsearch logs for more detailed error messages that can help pinpoint the exact cause of the crash.
This guide will help you check for common problems that cause the log ” [{}] inference process crashed due to reason [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] inference process crashed due to reason [{}]” classname is DeploymentManager.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
logger.error(() -> "[" + task.getDeploymentId() + "] Failed to kill process"; e);
}
}
private void onProcessCrash(String reason) {
logger.error("[{}] inference process crashed due to reason [{}]"; task.getDeploymentId(); reason);
processContextByAllocation.remove(task.getId());
isStopped = true;
resultProcessor.stop();
stateStreamer.cancel();
priorityProcessWorker.shutdownWithError(new IllegalStateException(reason));
