Aborting as datafeed has been stopped – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 7.5-8.9

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 a datafeed in Elasticsearch, used for machine learning jobs, is manually stopped or encounters an issue that forces it to stop. This could be due to a variety of reasons such as network issues, insufficient resources, or configuration errors. To resolve this, you can restart the datafeed, ensure that there are sufficient resources, and check the datafeed’s configuration for any errors. Additionally, check the Elasticsearch logs for any specific issues that might have caused the datafeed to stop.

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 ” [{}] Aborting as datafeed has been stopped ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “[{}] Aborting as datafeed has been stopped” classname is DatafeedRunner.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                    @Override
                    public void onFailure(Exception e) {
                        if (ExceptionsHelper.unwrapCause(e) instanceof ResourceNotFoundException) {
                            // The task was stopped in the meantime; no need to do anything
                            logger.info("[{}] Aborting as datafeed has been stopped"; task.getDatafeedId());
                            runningDatafeedsOnThisNode.remove(task.getAllocationId());
                            finishHandler.accept(null);
                        } else {
                            finishHandler.accept(e);
                        }

 

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?