Failed to find geo_point field ” + fieldName + ” – How to solve this Elasticsearch error

Opster Team

July-20, Version: 1.7-8.0

Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many configuration errors.

Briefly, this error occurs when Elasticsearch is unable to find a geo point field in the mapping for a particular index. Geo point fields are used to store latitude and longitude coordinates for location-based searches, and this error is returned when a geo point field is missing from the mapping. To resolve the issue, ensure that the geo point field is properly defined in the index mapping.

To easily locate the root cause and resolve this issue try AutoOps for Elasticsearch & OpenSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them.

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 and index.

Log Context

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

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


See how you can use AutoOps to resolve issues

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