Timed out waiting for completion of task – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 8.7-8.8

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 complete a task within the specified time limit. This could be due to heavy indexing, slow queries, or insufficient resources. To resolve this issue, you can optimize your queries or indexing process, increase the timeout limit, or scale up your Elasticsearch cluster to provide more resources. Additionally, monitoring your cluster’s performance can help identify and prevent such issues in the future.

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 ” Timed out waiting for completion of task ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: node, task, admin, cluster.

Log Context

Log “Timed out waiting for completion of task” class name is TransportGetTaskAction.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 threadPool.getThreadContext().newRestorableContext(false);
 waitedForCompletionListener
 )
 );
 var failByTimeout = threadPool.schedule(
 () -> future.onFailure(new ElasticsearchTimeoutException("Timed out waiting for completion of task"));
 requireNonNullElse(request.getTimeout(); DEFAULT_WAIT_FOR_COMPLETION_TIMEOUT);
 ThreadPool.Names.SAME
 );
 future.addListener(ActionListener.running(failByTimeout::cancel));
 }

 

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?