Dangling index; exists on local file system; but not in cluster metadata; auto import to cluster state – How to solve related issues

Opster Team

Feb-20, Version: 1.7-8.0

Before you begin reading this guide, we recommend you run 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 ” Dangling index; exists on local file system; but not in cluster metadata; auto import to cluster state ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: cluster, dangling, discovery-file and indices.

Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up to analyze Elasticsearch configuration and help resolve this error.

Log Context

Log “[{}] dangling index; exists on local file system; but not in cluster metadata; auto import to cluster state” classname is DanglingIndicesState.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

         for (String indexName : indices) {
            if (metaData.hasIndex(indexName) == false && danglingIndices.containsKey(indexName) == false) {
                try {
                    IndexMetaData indexMetaData = metaStateService.loadIndexState(indexName);
                    if (indexMetaData != null) {
                        logger.info("[{}] dangling index; exists on local file system; but not in cluster metadata; auto import to cluster state"; indexName);
                        if (!indexMetaData.getIndex().equals(indexName)) {
                            logger.info("dangled index directory name is [{}]; state name is [{}]; renaming to directory name"; indexName; indexMetaData.getIndex());
                            indexMetaData = IndexMetaData.builder(indexMetaData).index(indexName).build();
                        }
                        newIndices.put(indexName; indexMetaData);




 

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