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

Updated: Jan-20

Elasticsearch Version: 1.7-8.0

Background

To resolve issues causing many log errors you can try our Elasticsearch Check-Up it analyses ES configuration to provide actionable recommendations (no installation required) 


To troubleshoot log “failures and conflicts encountered while running DeleteByQuery on indices .” it’s important to understand a few problems related to Elasticsearch concepts delete, delete-by-query, indices, plugin. See bellow important tips and explanations on these concepts

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);
                            }




Related issues to this log

We have gathered selected Q&A from the community and issues from Github, that can help fix related issues please review the following for further information :

1 How to fix ElasticSearch conflicts on the same key when two process writing at the same time

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How to Fix Read timed out in Elasticsearch

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