Failed to get job stats to include in ML usage – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 7.17-8.9

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 retrieve statistics for Machine Learning (ML) jobs, which are crucial for monitoring and managing ML operations. This could be due to issues like insufficient permissions, network problems, or a malfunctioning ML module. To resolve this, ensure that the user has the necessary permissions to access ML job stats. Check the network connectivity between Elasticsearch nodes. Also, verify the health of the ML module and restart it if necessary. If the problem persists, consider checking the Elasticsearch logs for more detailed error information.

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 get job stats to include in ML usage ” 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 get job stats to include in ML usage” classname is MachineLearningUsageTransportAction.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

            }; e -> {
                logger.warn("Failed to get job configs to include in ML usage"; e);
                client.execute(GetDatafeedsStatsAction.INSTANCE; datafeedStatsRequest; datafeedStatsListener);
            }));
            e -> {
                logger.warn("Failed to get job stats to include in ML usage"; e);
                client.execute(GetDatafeedsStatsAction.INSTANCE; datafeedStatsRequest; datafeedStatsListener);
            }
        );

        // Step 0. Kick off the chain of callbacks by requesting jobs stats

 

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?