Failed to process – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 2.3-2.3

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 process the log files due to issues like incorrect file format, corrupted files, or insufficient permissions. To resolve this, you can check the format of the log files to ensure they are correct. If the files are corrupted, restore them from a backup. Also, verify that Elasticsearch has the necessary permissions to access and process the log files. If the issue persists, consider increasing the logging level to get more detailed error messages for further troubleshooting.

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 process [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: tribe.

Log Context

Log “failed to process [{}]” classname is TribeService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                 BasicClusterStateTaskConfig.create(Priority.NORMAL);
                executor;
                new AbstractClusterStateTaskListener() {
                    
Override
                    public void onFailure(String source; Throwable t) {
                        logger.warn("failed to process [{}]"; t; source);
                    }
                });
        }
    }




 

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?