Briefly, this error occurs when Elasticsearch is unable to load a machine learning model due to issues like incorrect model path, insufficient permissions, or corrupted model files. To resolve this, ensure the model path is correct and accessible. Check the file permissions and make sure Elasticsearch has the necessary rights to access the model. If the model file is corrupted, try to restore it from a backup or retrain the model. Also, ensure that your Elasticsearch version supports the model you’re trying to load.
This guide will help you check for common problems that cause the log ” [{}] failed to load model ” 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” classname is ModelLoadingService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
trainedModelConfig -> {
logger.debug(() -> new ParameterizedMessage("[{}] successfully loaded model"; modelId));
handleLoadSuccess(modelId; trainedModelConfig);
};
failure -> {
logger.warn(new ParameterizedMessage("[{}] failed to load model"; modelId); failure);
handleLoadFailure(modelId; failure);
}
));
}
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