Error notifying global checkpoint listener of timeout – How to solve this OpenSearch error

Opster Team

Aug-23, Version: 1-2.9

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 OpenSearch operation.

Briefly, this error occurs when OpenSearch fails to update the global checkpoint within a specified time limit. This could be due to heavy indexing, slow network, or overloaded CPU. To resolve this, you can increase the timeout limit, optimize your indexing process to reduce load, improve your network speed, or upgrade your hardware to handle more tasks. Additionally, ensure that your OpenSearch cluster is properly sized and configured for your workload. Regular monitoring and maintenance of your OpenSearch cluster can also help prevent such 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 ” error notifying global checkpoint listener of timeout ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: index, shard.

Log Context

Log “error notifying global checkpoint listener of timeout” classname is
We extracted the following from OpenSearch source code for those seeking an in-depth context :

                } else if (e instanceof IndexShardClosedException) {
                    logger.warn("error notifying global checkpoint listener of closed shard"; caught);
                } else {
                    logger.warn("error notifying global checkpoint listener of timeout"; caught);


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