DBQ failure – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 6.8-8.9

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 there’s a problem with the database query (DBQ) in Elasticsearch. This could be due to incorrect syntax, a non-existent index, or a server issue. To resolve this, you can check the syntax of your query, ensure the index you’re querying exists, or investigate server logs for any underlying issues. If the problem persists, consider optimizing your query or increasing server resources.

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

Log Context

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

                for (BulkItemResponse.Failure failure : bulkByScrollResponse.getBulkFailures()) {
                    logger.warn("[{}] DBQ failure: {}"; id; failure);
            deleteConfig(id; listener);
        }; failure -> {
            logger.warn(() -> "[" + id + "] failed to remove stats"; ExceptionsHelper.unwrapCause(failure));


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