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Cartesian field types

Cartesian field types facilitate indexing and searching of points and shapes in a two-dimensional Cartesian coordinate system. Cartesian field types are similar to geographic field types, except they represent points and shapes on the Cartesian plane, which is not based on the Earth-fixed terrestrial reference system. Calculating distances on a plane is more efficient than calculating distances on a sphere, so distance sorting is faster for Cartesian field types.

Cartesian field types work well for spatial applications like virtual reality, computer-aided design (CAD), and amusement park and sporting venue mapping.

The coordinates for the Cartesian field types are single-precision floating-point values. For information about the range and precision of floating-point values, see Numeric field types.

The following table lists all Cartesian field types that OpenSearch supports.

Field Data type Description
xy_point A point in a two-dimensional Cartesian coordinate system, specified by x and y coordinates.
xy_shape A shape, such as a polygon or a collection of xy points, in a two-dimensional Cartesian coordinate system.

Currently, OpenSearch supports indexing and searching of Cartesian field types but not aggregations on Cartesian field types. If you’d like to see aggregations implemented, open a GitHub issue.