Briefly, this error occurs when there’s an issue with the machine learning inference process in Elasticsearch. This could be due to incorrect model configurations, insufficient resources, or corrupted data. To resolve this, you can try the following: 1) Check and correct the model configurations, 2) Ensure there are enough resources (CPU, memory) for the inference process, 3) Validate the data being processed for any inconsistencies or corruption, and 4) Check the Elasticsearch logs for more detailed error information.
This guide will help you check for common problems that cause the log ” Error in inference process: [” + errorMessage + “] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “Error in inference process: [” + errorMessage + “]” class name is AbstractPyTorchAction.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
getLogger().debug(() -> format("[%s] request [%s] received failure but listener already notified"; deploymentId; requestId); e);
} protected void onFailure(String errorMessage) {
onFailure(new ElasticsearchStatusException("Error in inference process: [" + errorMessage + "]"; RestStatus.INTERNAL_SERVER_ERROR));
} boolean isNotified() {
return notified.get();
}
