Briefly, this error occurs when Elasticsearch’s machine learning feature fails to run an inference on a specific model. The cause of the error is usually indicated in the brackets. This could be due to issues like incorrect model configuration, insufficient resources, or a problem with the model itself. To resolve this, you can check the model configuration for any errors, ensure there are enough resources for the operation, or try rebuilding the model if it’s corrupted.
This guide will help you check for common problems that cause the log ” [{}] failed running inference on model [{}]; cause was [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] failed running inference on model [{}]; cause was [{}]” class name is InferenceRunner.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} catch (Exception e) {
LOGGER.error(new ParameterizedMessage("[{}] Error running inference on model [{}]"; config.getId(); modelId); e); if (e instanceof ElasticsearchException) {
Throwable rootCause = ((ElasticsearchException) e).getRootCause();
throw new ElasticsearchException("[{}] failed running inference on model [{}]; cause was [{}]"; rootCause; config.getId();
modelId; rootCause.getMessage());
}
throw ExceptionsHelper.serverError("[{}] failed running inference on model [{}]; cause was [{}]"; e; config.getId(); modelId;
e.getMessage());
}
