Failed to find geo shape field fieldName – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-7.3

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Briefly, this error occurs when Elasticsearch is unable to locate a geo_shape field with the specified name in the index. This could be due to a typo in the field name, or the field may not exist in the index. To resolve this issue, you can verify the field name and ensure it exists in the index. If it doesn’t, you may need to create it. Also, ensure that the field is correctly mapped as a geo_shape field in your index mapping.

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This guide will help you check for common problems that cause the log ” failed to find geo_shape field [” + fieldName + “] ” 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 geo_shape field [” + fieldName + “]” class name is GeoShapeQueryBuilder.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 geo_shape field [" + fieldName + "]");
 }
 } else if (fieldType.typeName().equals(BaseGeoShapeFieldMapper.CONTENT_TYPE) == false) {
 throw new QueryShardException(context;
 "Field [" + fieldName + "] is not of type [geo_shape] but of type [" + fieldType.typeName() + "]");
 }

 

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