Opster Team
Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many errors.
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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.
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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Billy McCarthy
Senior SysAdmin at Backblaze