Briefly, this error occurs when you try to index a field with more than three dimensions in Elasticsearch. Elasticsearch supports only up to three dimensions for fields. To resolve this issue, you can reduce the dimensions of your field to three or less. Alternatively, you could split the data into multiple fields, each with three or fewer dimensions. Another solution could be to flatten your data structure before indexing it.
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: .
Log Context
Log “[{}] field type does not accept > 3 dimensions” class name is GenericPointParser.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
if (coordinates.size() == 3) {
assertZValue(ignoreZValue; coordinates.get(2));
}
if (coordinates.size() > 3) {
throw new ElasticsearchParseException("[{}] field type does not accept > 3 dimensions"; mapType);
}
return createPoint(coordinates.get(0); coordinates.get(1));
}
return createPoint(x; y);
[ratemypost]
