Failed to parse model – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 7.6-8.2

Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.

Try OpsGPT now for step-by-step guidance and tailored insights into your Elasticsearch operation.

Briefly, this error occurs when Elasticsearch is unable to parse a model due to incorrect syntax, missing fields, or incompatible data types. To resolve this issue, you should first check the model’s syntax for any errors. Ensure that all required fields are present and that the data types match what Elasticsearch expects. If the model is complex, consider breaking it down into smaller parts and testing each one individually. Lastly, ensure that your Elasticsearch version supports the features used in your model.

For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.

This guide will help you check for common problems that cause the log ” [{}] failed to parse 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 parse model” classname is TrainedModelProvider.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                // is a tree ensemble
                builder.setModelType(TrainedModelType.TREE_ENSEMBLE);
            }
            return builder;
        } catch (IOException e) {
            logger.error(new ParameterizedMessage("[{}] failed to parse model"; modelId); e);
            throw e;
        }
    }

    private TrainedModelMetadata parseMetadataLenientlyFromSource(BytesReference source; String modelId) throws IOException {

 

How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

Get expert answers on Elasticsearch/OpenSearch