field type does not accept > 3 dimensions – Elasticsearch Error How To Solve Related Issues



field type does not accept > 3 dimensions – Elasticsearch Error How To Solve Related Issues

Updated: July-20

Elasticsearch Version: 1.7-8.0

Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up  which can resolve issues causing many errors 

 

This guide will help you check for common problems that cause the log “field type does not accept > 3 dimensions” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: index.


Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to discover the cause of many errors and provides suitable actionable recommendations (free tool that requires no installation). 

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) {

Related issues to this log

We have gathered selected Q&A from the community and issues from Github, that can help fix related issues please review the following for further information :

1 Find distinct values, not distinct counts in elasticsearch -views 62,331 ,score 36

elasticsearch filtering by the size of a field that is an array -views   55,826,score 51



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