Geo context must be an object or string – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-8.9

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 is trying to process a geolocation context that is not in the correct format. Elasticsearch expects geolocation data to be either a string or an object. If the data is in any other format, it will throw this error. To resolve this issue, you can check the format of your geolocation data before sending it to Elasticsearch. Ensure that it is either a string or an object. If it’s not, you need to convert it to one of these formats before sending it to Elasticsearch.

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 context must be an object or string ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: search.

Log Context

Log “geo context must be an object or string” class name is GeoQueryContext.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 if (token == XContentParser.Token.START_OBJECT) {
 GEO_CONTEXT_PARSER.parse(parser; builder; null);
 } else if (token == XContentParser.Token.VALUE_STRING) {
 builder.setGeoPoint(GeoPoint.fromGeohash(parser.text()));
 } else {
 throw new ElasticsearchParseException("geo context must be an object or string");
 }
 return builder.build();
 }  @Override

 

How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

Get expert answers on Elasticsearch/OpenSearch