Briefly, this error occurs when Elasticsearch cannot load a specific model due to issues like incorrect configuration, missing data, or incompatible versions. To resolve this, you can check the Elasticsearch configuration for any errors and correct them. Ensure that the required data for the model is available and in the correct format. If the problem persists, check the version compatibility between the model and your Elasticsearch instance. If they are incompatible, you may need to update or downgrade your Elasticsearch version or find a model compatible with your current version.
This guide will help you check for common problems that cause the log ” [{}] model failed to load ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, allocation.
Log Context
Log “[{}] model failed to load” classname is TrainedModelAllocationNodeService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
})
);
}
private void handleLoadFailure(TrainedModelDeploymentTask task; Exception ex) {
logger.error(() -> new ParameterizedMessage("[{}] model failed to load"; task.getModelId()); ex);
if (task.isStopped()) {
logger.debug(
() -> new ParameterizedMessage(
"[{}] model failed to load; but is now stopped; reason [{}]";
task.getModelId();
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