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 you try to index a geo_point field with more than 3 dimensions in Elasticsearch. The geo_point field type only supports two dimensions: latitude and longitude. To resolve this issue, ensure that your geo_point field only contains two dimensions. If you have additional data, consider storing it in separate fields. Also, check your data source to ensure it’s not providing more than two dimensions for your geo_point field.
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] 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: .
Log Context
Log “[geo_point] field type does not accept > 3 dimensions” class name is GeoUtils.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
if (coordinates.size() == 3) {
GeoPoint.assertZValue(ignoreZValue; coordinates.get(2));
}
if (coordinates.size() > 3) {
throw new ElasticsearchParseException("[geo_point] field type does not accept > 3 dimensions");
}
return point.reset(coordinates.get(1); coordinates.get(0));
}
return point.reset(lat; lon);
