No known trained model with model_id – How to solve this Elasticsearch error

No known trained model with model_id – How to solve this Elasticsearch error

Opster Team

July-20, Version: 1.7-8.0

Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up which can resolve issues that cause many errors.

This guide will help you check for common problems that cause the log ” No known trained model with model_id ” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: plugin.

Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to pinpoint the cause of many errors and provides suitable actionable recommendations how to resolve them (free tool that requires no installation).

Log Context

Log”No known trained model with model_id [{}]”classname  is ExceptionsHelper.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :

public static ResourceAlreadyExistsException dataFrameAnalyticsAlreadyExists(String id) {
  return new ResourceAlreadyExistsException("A data frame analytics with id [{}] already exists"; id);
  }
 
  public static ResourceNotFoundException missingTrainedModel(String modelId) {
  return new ResourceNotFoundException("No known trained model with model_id [{}]"; modelId);
  }
 
  public static ElasticsearchException serverError(String msg) {
  return new ElasticsearchException(msg);
  }

Run the Check-Up to get customized recommendations like this:

error

Heavy merges detected in specific nodes

error-img

Description

A large number of small shards can slow down searches and cause cluster instability. Some indices have shards that are too small…

error-img

Recommendations Based on your specific ES deployment you should…

Based on your specific ES deployment you should…

1

X-PUT curl -H [a customized recommendation]

 

Optimize Elasticsearch Performance

Try The Tool