Log Dangling index. exists on local file system. but not in cluster metadata. scheduling to delete in . auto import to cluster state – How To Solve Related Issues


Log Dangling index. exists on local file system. but not in cluster metadata. scheduling to delete in . 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 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 ” Dangling index. exists on local file system. but not in cluster metadata. scheduling to delete in . auto import to cluster state ” 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: cluster, dangling, delete and discovery-file.

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

                                     danglingIndices.put(indexName; new DanglingIndex(indexName; null));
                                } else if (danglingTimeout.millis() == 0) {
                                    logger.info("[{}] dangling index; exists on local file system; but not in cluster metadata; timeout set to 0; deleting now"; indexName);
                                    indicesService.deleteIndexStore("dangling index with timeout set to 0"; indexMetaData; state);
                                } else {
                                    logger.info("[{}] dangling index; exists on local file system; but not in cluster metadata; scheduling to delete in [{}]; auto import to cluster state [{}]"; indexName; danglingTimeout; autoImportDangled);
                                    danglingIndices.put(indexName;
                                            new DanglingIndex(indexName;
                                                    threadPool.schedule(danglingTimeout;
                                                            ThreadPool.Names.SAME;
                                                            new RemoveDanglingIndex(indexMetaData))));




 

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