R-Tree Index User's Guide
These topics describe the HCL Informix® R-tree secondary access method and how to access and use its components.
It describes how to create an R-tree index on appropriate data types, how to create a new operator class that uses the R-tree access method to index a user-defined data type, and how to manage databases that use the R-tree secondary access method.
- Application developers
- DataBlade module developers
- Database administrators
Topic | Audience |
---|---|
R-tree secondary access method concepts | All users who want in-depth knowledge of how R-tree indexes work |
The R-tree secondary access method | Application developers and schema designers who use R-tree indexes to index existing tables or design schemas that contain tables that are indexed by R-tree indexes |
Develop DataBlade modules that use the R-tree secondary access method | DataBlade module developers who want to use the R-tree access method to index new data types by creating a new operator class |
Manage databases that use the R-tree secondary access method | Database administrators who manage databases that contain R-tree indexes |
- A working knowledge of your computer, your operating system, and the utilities that your operating system provides
- Some experience working with relational databases or exposure to database concepts
- Some experience with computer programming
- Some experience with database server administration, operating-system administration, or network administration
You must have a DataBlade module or extension that uses the HCL Informix R-tree secondary access method, such as the Informix spatial solution, to use the R-tree secondary access method.
You can use the Informix DataBlade Developers Kit (DBDK) to develop a DataBlade module that uses the R-tree secondary access method.
- DB-Access
- HCL Informix ESQL/C
- DataBlade API
You do not, however, need to install or use these tools to use the R-tree access method.
These topics are taken from HCL Informix R-Tree Index User's Guide.