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Briefly, this error occurs when Elasticsearch expects a geo_point type field but receives a different type. This usually happens when you’re trying to index a document with a field that should be mapped as geo_point but isn’t. To resolve this, ensure that the field is correctly mapped as geo_point in your index mapping. If the mapping is correct, check the data you’re trying to index to ensure it’s in the correct format for a geo_point field. If necessary, reindex your data with the correct mapping and data format.
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This guide will help you check for common problems that cause the log ” geo_point expected ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: .
Log Context
Log “geo_point expected” class name is GeoUtils.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
return point.reset(lat; lon);
} else if (parser.currentToken() == Token.VALUE_STRING) {
String val = parser.text();
return point.resetFromString(val; ignoreZValue; effectivePoint);
} else {
throw new ElasticsearchParseException("geo_point expected");
}
} private static double parseValidDouble(XContentSubParser subParser; String field) throws IOException {
try {
