Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.
Try OpsGPT now for step-by-step guidance and tailored insights into your Elasticsearch operation.
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.
For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.
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 {