Closing datafeeds because – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 6.8-8.9

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 shuts down datafeeds due to an issue such as a node failure, a network partition, or a configuration error. To resolve this, you can check the cluster’s health and logs to identify the root cause. If it’s a node failure, restart the node or add a new one. If it’s a network issue, ensure the network connectivity is stable. If it’s a configuration error, correct the configuration and restart the datafeed. Also, ensure that the Elasticsearch version is up-to-date to avoid compatibility issues.

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 ” Closing [{}] datafeeds; because [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Closing [{}] datafeeds; because [{}]” classname is DatafeedRunner.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

     * This is used when the license expires.
     */
    public void stopAllDatafeedsOnThisNode(String reason) {
        int numDatafeeds = runningDatafeedsOnThisNode.size();
        if (numDatafeeds != 0) {
            logger.info("Closing [{}] datafeeds; because [{}]"; numDatafeeds; reason);

            for (Holder holder : runningDatafeedsOnThisNode.values()) {
                holder.stop(reason; TimeValue.timeValueSeconds(20); null);
            }
        }

 

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?

Get expert answers on Elasticsearch/OpenSearch