field type does not accept > 3 dimensions – 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 Check-Up which can resolve issues that cause many errors.

This guide will help you check for common problems that cause the log ” field type does not accept > 3 dimensions ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: index.

Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up to analyze Elasticsearch configuration and help resolve this error.

Log Context

Log “[{}] field type does not accept > 3 dimensions”classname  is AbstractPointGeometryFieldMapper.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :

double y = parser.doubleValue();
 token = parser.nextToken();
 if (token == XContentParser.Token.VALUE_NUMBER) {
 GeoPoint.assertZValue((Boolean)(mapper.ignoreZValue().value()); parser.doubleValue());
 } else if (token != XContentParser.Token.END_ARRAY) {
 throw new ElasticsearchParseException("[{}] field type does not accept > 3 dimensions";
 mapper.contentType());
 } 
 point.resetCoords(x; y);
 if ((Boolean)(mapper.ignoreMalformed().value()) == false) {

 

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