Error when trying to query fileLength – 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 is unable to retrieve the file length during a query operation. This could be due to issues with file permissions, file corruption, or the file not existing. To resolve this, you can check if the file exists and is accessible, verify the file isn’t corrupted, and ensure OpenSearch has the necessary permissions to access the file. If the file is corrupted, restore it from a backup. If the file doesn’t exist, you may need to recreate it or correct the query.

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 when trying to query fileLength [{}] [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: index, query.

Log Context

Log “Error when trying to query fileLength [{}] [{}]” classname is
We extracted the following from OpenSearch source code for those seeking an in-depth context :

                    () -> new ParameterizedMessage("Tried to query fileLength but file is gone [{}] [{}]"; finalDirectory; file);
            } catch (IOException e) {
                final Directory finalDirectory = directory;
                logger.warn(() -> new ParameterizedMessage("Error when trying to query fileLength [{}] [{}]"; finalDirectory; file); e);
            if (length == 0L) {
            map.put(extension; length);


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