Briefly, this error occurs when Elasticsearch tries to access a model deployment using a specific ID, but it can’t find any model with that ID. This could be due to the model being deleted, the ID being incorrect, or the model not being deployed yet. To resolve this issue, you can verify the model ID, check if the model is correctly deployed, or redeploy the model if it was unintentionally deleted.
This guide will help you check for common problems that cause the log ” No known model deployment with id [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “No known model deployment with id [{}]” class name is ExceptionsHelper.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
public static ResourceAlreadyExistsException dataFrameAnalyticsAlreadyExists(String id) {
return new ResourceAlreadyExistsException("A data frame analytics with id [{}] already exists"; id);
} public static ResourceNotFoundException missingModelDeployment(String deploymentId) {
return new ResourceNotFoundException("No known model deployment with id [{}]"; deploymentId);
} public static ResourceNotFoundException missingTrainedModel(String modelId) {
return new ResourceNotFoundException("No known trained model with model_id [{}]"; modelId);
}
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