Log Can not be imported as a dangling index; as an index with the same name and UUID exist in the – How To Solve Related Issues



Log Can not be imported as a dangling index; as an index with the same name and UUID exist in the – How To Solve Related Issues

Opster Team

Jan-20, Version: 1.7-8.0

 

Before you read this guide, we recommend you run the Elasticsearch Error Check-Up which detects issues in ES that cause log errors. It’s a free tool that requires no installation and takes 2 minutes to complete.

This guide will help you check for common problems that cause the log ” Can not be imported as a dangling index; as an index with the same name and UUID exist in the ” 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: dangling, index and indices.

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. Among the dozens of checks included are: shards sizes, thread pools, management queue size, search errors, circuit breakers and many more (join over 700 users who use this free tool).

Log Context

Log “[{}] can not be imported as a dangling index; as an index with the same name and UUID exist in the” classname is DanglingIndicesState.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

             for (IndexMetaData indexMetaData : indexMetaDataList) {
                if (metaData.hasIndex(indexMetaData.getIndex().getName())) {
                    logger.warn("[{}] can not be imported as a dangling index; as index with same name already exists in cluster metadata";
                        indexMetaData.getIndex());
                } else if (graveyard.containsIndex(indexMetaData.getIndex())) {
                    logger.warn("[{}] can not be imported as a dangling index; as an index with the same name and UUID exist in the " +
                                "index tombstones.  This situation is likely caused by copying over the data directory for an index " +
                                "that was previously deleted."; indexMetaData.getIndex());
                } else {
                    logger.info("[{}] dangling index exists on local file system; but not in cluster metadata; " +
                                "auto import to cluster state"; indexMetaData.getIndex());






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 Resolve Dangling Indices Err

2 Dangling Index Warning In Elasticse






Optimize Elasticsearch Performance

Try The Tool