%s task %s failed – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8.7-8.9

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 tasks fail during execution. This could be due to various reasons such as insufficient resources, incorrect configurations, or network issues. To resolve this, you can first check the Elasticsearch logs for more detailed error messages. Then, ensure that your cluster has enough resources (CPU, memory, disk space). Also, verify your configurations and network connectivity. If the tasks are heavy, consider breaking them into smaller tasks or increasing the timeout settings.

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 ” [%s] task %s failed ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: task.

Log Context

Log “[%s] task %s failed” classname is AbstractThrottledTaskRunner.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                    }

                    @Override
                    public void onFailure(Exception e) {
                        // should not happen
                        logger.error(() -> Strings.format("[%s] task %s failed"; taskRunnerName; task); e);
                        assert false : e;
                        task.onFailure(e);
                    }

                    @Override

 

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?