Briefly, this error occurs when Elasticsearch tries to perform a geo-based operation on a field that is not mapped as a geo_point. Elasticsearch requires fields used for geographical operations to be mapped as geo_point. To resolve this issue, you can either reindex your data with the correct mapping or use the “PUT mapping” API to update the mapping of the field to geo_point. However, remember that updating the mapping will only affect new data and not the existing ones.
This guide will help you check for common problems that cause the log ” referenced field must be mapped to geo_point ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: search.
Overview
Search refers to the searching of documents in an index or multiple indices. The simple search is just a GET API request to the _search endpoint. The search query can either be provided in query string or through a request body.
Examples
When looking for any documents in this index, if search parameters are not provided, every document is a hit and by default 10 hits will be returned.
GET my_documents/_search
A JSON object is returned in response to a search query. A 200 response code means the request was completed successfully.
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.0,
"hits" : [
...
]
}
}Notes and good things to know
- Distributed search is challenging and every shard of the index needs to be searched for hits, and then those hits are combined into a single sorted list as a final result.
- There are two phases of search: the query phase and the fetch phase.
- In the query phase, the query is executed on each shard locally and top hits are returned to the coordinating node. The coordinating node merges the results and creates a global sorted list.
- In the fetch phase, the coordinating node brings the actual documents for those hit IDs and returns them to the requesting client.
- A coordinating node needs enough memory and CPU in order to handle the fetch phase.
Log Context
Log “referenced field must be mapped to geo_point” class name is GeoContextMapping.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
@Override public SetparseContext(ParseContext parseContext; XContentParser parser) throws IOException; ElasticsearchParseException { if (fieldName != null) { MappedFieldType fieldType = parseContext.mapperService().fieldType(fieldName); if (!(fieldType instanceof GeoPointFieldMapper.GeoPointFieldType)) { throw new ElasticsearchParseException("referenced field must be mapped to geo_point"); } } final Set contexts = new HashSet<>(); Token token = parser.currentToken(); if (token == Token.START_ARRAY) {
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