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

Opster Team

August-23, Version: 6.8-8.9

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Briefly, this error occurs when Elasticsearch is unable to locate a geo_point field with the specified field name in the index. This could be due to a typo in the field name or the field not being properly mapped as a geo_point type. To resolve this issue, you can check the field name for any typos or errors. If the field name is correct, you should verify the mapping of your index to ensure that the field is correctly set as a geo_point type. If it’s not, you will need to reindex your data with the correct mapping.

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

Log Context

Log “failed to find geo_point field [” + fieldName + “]” class name is GeoPolygonQueryBuilder.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 MappedFieldType fieldType = context.getFieldType(fieldName);
 if (fieldType == null) {
 if (ignoreUnmapped) {
 return new MatchNoDocsQuery();
 } else {
 throw new QueryShardException(context; "failed to find geo_point field [" + fieldName + "]");
 }
 }
 if ((fieldType instanceof GeoPointFieldType) == false) {
 throw new QueryShardException(context; "field [" + fieldName + "] is not a geo_point field");
 }

 

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