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.
These topics describe how to use built-in database extensions and separately installed DataBlade® modules.
The contains information to assist you in using the Informix® spatial extension. The Informix spatial extension adds custom data types and supporting routines to the server.
The Informix® Database Extensions User's Guide explains how to use the database extensions that come with HCL Informix: Large Object Locator, MQ messaging, binary data types, basic text search, node data type, and SQL packages.
The Informix® XML User's Guide includes information about using built-in functions for XML publishing with Informix.
The Informix® spatial solution embeds a geographic information system (GIS) within the Informix database server. The Informix spatial data types integrate spatial and non-spatial data, providing a seamless point of access using SQL (Structured Query Language).
Informix® spatial data types are divided into two categories: the base geometry subclasses and the homogeneous collection subclasses.
You can use several different GIS data exchange formats for spatial data.
An index organizes access to data so that entries can be found quickly, without searching every row. The R-tree access method enables you to index multidimensional objects.
Running queries in parallel distributes the work for one aspect of a query among several processors and can dramatically improve performance.
The total amount of space you need for spatial data is equal to the size of spatial tables plus the size of the spatial indexes.
Use specific spatial data type functions to perform operations on spatial data.
The spatial Java™ API enables Java applications to access geometry features that are stored in databases that contain spatial data. The spatial Java API provides classes to work with spatial objects from Java client-side programs. The client-side objects are called value objects. Spatial value objects can also be created and examined by Java methods that parallel some of the spatial data functions.
Use the infoshp, loadshp, and unloadshp utilities for working with spatial data contained in ESRI shapefiles.
These topics explain how to represent a spatial reference system using a text string and provides information about supported units of measure, spheroids, datums, prime meridians, and projections.
The describes how to program applications to search data from moving objects in HCL Informix® databases using the spatiotemporal search extension.
The Informix® TimeSeries Data User's Guide contains information to assist you in using the TimeSeries extension with HCL Informix.
You 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.