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Extending Informix®Beyond standard relational database objects, HCL Informix® can be extended to handle specialized data types, access methods, routines, and other objects. Informix® includes many built-in extensions that are fully integrated in the database server. Informix® also provides DataBlade® modules, which are packages of extended database objects for a particular purpose and that are installed separately from the database server. Alternatively, you can create your own user-defined objects for Informix®.
Creating extensionsYou can create user-defined data types, routines, access methods, and other database objects to suit your needs. You can use application programming interfaces to write user-defined routines and applications that access data in Informix® databases.
R-Tree Index User's GuideThe Informix® R-Tree Index User's Guide describes the HCL Informix® R-tree secondary access method and how to access and use its components.
R-tree secondary access method concepts
The R-tree secondary access method
Nearest-neighbor searching

Nearest-neighbor searching

The R-tree access method provides support for nearest-neighbor searches, that is, querying for objects in a spatial database that are closest to a specified object or location. Traditionally, without nearest-neighbor support, these kinds of searches are awkward to perform and involve several iterative stages.

To perform nearest-neighbor searches, the data types you are using must be set up for it.

Perform nearest-neighbor searches explains how to perform nearest-neighbor searches using data types that support this feature.

Set up nearest-neighbor searching explains how to add nearest-neighbor support to a DataBlade® module.

In this release, nearest-neighbor search is not supported with fragmented indexes.

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