Failed to mark thread execution finished for task – How to solve this OpenSearch error

Opster Team

Aug-23, Version: 2.2-2.9

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 mark the completion of a thread execution for a specific task. This could be due to a bug, a system overload, or a problem with the task itself. To resolve this issue, you could try restarting the OpenSearch service, checking for any system updates or patches, or investigating the specific task for any issues. If the problem persists, consider increasing system resources or optimizing your tasks to prevent overloading.

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 ” Failed to mark thread execution finished for task: [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: thread.

Log Context

Log “Failed to mark thread execution finished for task: [{}]” classname is
We extracted the following from OpenSearch source code for those seeking an in-depth context :

            if (task != null) {
                logger.debug("Task execution finished on thread. Task: {}; Thread: {}"; taskId; threadId);
                task.stopThreadResourceTracking(threadId; WORKER_STATS; getResourceUsageMetricsForThread(threadId));
        } catch (Exception e) {
            logger.warn(new ParameterizedMessage("Failed to mark thread execution finished for task: [{}]"; taskId); e);
            assert false;

    public Map getResourceAwareTasks() {


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