Log failures and conflicts encountered while running DeleteByQuery on indices . – How To Solve Related Issues


Log failures and conflicts encountered while running DeleteByQuery on indices . – How To Solve Related Issues

Opster Team

Jan-20, Version: 1.7-8.0

 

Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up which can resolve issues that cause many errors.

This guide will help you check for common problems that cause the log ” failures and conflicts encountered while running DeleteByQuery on indices . ” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: delete, delete-by-query, indices and plugin.

Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to pinpoint the cause of many errors and provides suitable actionable recommendations how to resolve them (free tool that requires no installation).

Log context

Log “[{}] {} failures and {} conflicts encountered while running DeleteByQuery on indices [{}].” classname is TransportDeleteJobAction.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                     } else {
                        if (bulkByScrollResponse.isTimedOut()) {
                            logger.warn("[{}] DeleteByQuery for indices [{}] timed out."; jobId; String.join("; "; indexNames.get()));
                        }
                        if (!bulkByScrollResponse.getBulkFailures().isEmpty()) {
                            logger.warn("[{}] {} failures and {} conflicts encountered while running DeleteByQuery on indices [{}].";
                                    jobId; bulkByScrollResponse.getBulkFailures().size(); bulkByScrollResponse.getVersionConflicts();
                                    String.join("; "; indexNames.get()));
                            for (BulkItemResponse.Failure failure : bulkByScrollResponse.getBulkFailures()) {
                                logger.warn("DBQ failure: " + failure);
                            }




 

Optimize Elasticsearch Performance

Try The Tool