Cannot communicate with Machine Learning native code – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.17

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 interact with its Machine Learning (ML) component, possibly due to a configuration issue, a problem with the ML process, or a lack of necessary resources. To resolve this, ensure that the ML settings in Elasticsearch are correctly configured. Check the system’s resources, as ML requires sufficient memory and CPU. Also, verify that the ML process is running properly. If the problem persists, consider restarting the Elasticsearch service.

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 ” Cannot communicate with Machine Learning native code ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Cannot communicate with Machine Learning native code” class name is We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 nativeCodeInfo = nativeController.getNativeCodeInfo();
 } catch (IOException | TimeoutException e) {
 LogManager.getLogger(MachineLearningFeatureSet.class).error("Cannot get native code info for Machine Learning"; e);
 throw new ElasticsearchException("Cannot communicate with Machine Learning native code");
 this.nativeCodeInfo = nativeCodeInfo;


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?