Briefly, this error occurs when Elasticsearch is unable to load the definition of a machine learning model. This could be due to issues like incorrect model definition, lack of necessary permissions, or problems with the file system. To resolve this, ensure the model definition is correct and in the right format. Check if the user has the necessary permissions to load the model. Also, verify if there are any issues with the file system where the model is stored, such as insufficient space or read/write errors.
This guide will help you check for common problems that cause the log ” [{}] failed to load model definition ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] failed to load model definition” classname is ModelLoadingService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
handleLoadSuccess(modelId; consumer; trainedModelConfig; inferenceDefinition);
}; failure -> {
// We failed to get the definition; remove the initial estimation.
trainedModelCircuitBreaker.addWithoutBreaking(-trainedModelConfig.getModelSize());
logger.warn(new ParameterizedMessage("[{}] failed to load model definition"; modelId); failure);
handleLoadFailure(modelId; failure);
}));
}; failure -> {
logger.warn(new ParameterizedMessage("[{}] failed to load model configuration"; modelId); failure);
handleLoadFailure(modelId; failure);
