Failed to find – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 7.7-7.9

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Briefly, this error occurs when Elasticsearch is unable to locate a specific resource or component. This could be due to a missing index, document, or node. To resolve this issue, you can verify the existence of the resource in question, ensure correct spelling and case sensitivity, and check the Elasticsearch configuration for any discrepancies. If it’s a missing index, you may need to recreate it. If it’s a missing document, you may need to reindex it. If it’s a missing node, you may need to add it back to the cluster.

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This guide will help you check for common problems that cause the log ” failed to find ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index, query.

Log Context

Log “failed to find” class name is AbstractGeometryQueryBuilder.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 final MappedFieldType fieldType = context.fieldMapper(fieldName);
 if (fieldType == null) {
 if (ignoreUnmapped) {
 return new MatchNoDocsQuery();
 } else {
 throw new QueryShardException(context; "failed to find "
 + String.join(" or "; validContentTypes())
 + " field [" + fieldName + "]");
 }
 }

 

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