Isolated the datafeeds – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8-8.9

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’s machine learning feature isolates datafeeds due to an issue such as a node failure, a configuration problem, or a resource shortage. To resolve this, you can try restarting the datafeed, checking the node’s health, or adjusting the resource allocation. If it’s a configuration issue, review and correct the datafeed’s settings. If the problem persists, consider consulting 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 ” Isolated the datafeeds ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Isolated the datafeeds” classname is
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                }; wrappedListener::onFailure));
        }; wrappedListener::onFailure);

        //  After isolating the datafeeds; unassign the tasks
        ActionListener> isolateDatafeedListener = ActionListener.wrap(isolatedDatafeeds -> {
  "Isolated the datafeeds");
            unassignPersistentTasks(tasksCustomMetadata; unassignPersistentTasksListener);
        }; wrappedListener::onFailure);

           Handle the cluster response and act accordingly


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?