Naarcha-AWS e119a93798
Index and OpenSearch TOC changes (#2946)
* Add new Query DSL section

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* Change config settings

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* Fix links

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* Add Query DSL back to Search

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* Fix remaining links

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* Last reorder

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* Add Heather's feedback

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* Add Query DSL section. Delete Index Data page

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* Fix index title

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* Add correct title to managing indexes

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* Change config yml

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* Add permalinks for each page in query DSL section

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* :wq

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2023-03-08 09:53:21 -06:00

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layout title nav_order has_children has_toc parent redirect_from
default Cartesian field types 57 true false Supported field types
/opensearch/supported-field-types/xy/

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. {: .note}