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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.
DataBlade® Developers KitThe DataBlade® Developers Kit (DBDK) guides contain information about the tools you can use to develop and package DataBlade® modules, which extend the functionality of HCL Informix® databases.
DataBlade® Developers Kit User's GuideThe HCL Informix® DataBlade® Developers Kit User's Guide describes how to use tools to develop and package DataBlade® modules.
Programming DataBlade® module routines in CThis section contains information to help you edit and compile C language source code generated by DataBlade®.
Edit statistics routines in statistics.c
The statistics minimum, maximum, and distribution functions

The statistics minimum, maximum, and distribution functions

The Opaque_SetMinValue() function computes the minimum value of the Opaque data type.

The Opaque_SetMaxValue() function computes the maximum value of the Opaque data type.

The Opaque_SetHistogram() function computes the distribution of the values of the Opaque data type.

The generated code

BladeSmith generates only function stubs for the Opaque_SetMinValue(), Opaque_SetMaxValue(), and Opaque_SetHistogram() functions.

Complete the code

To complete the code for the statistics support functions, you must add code to compute the minimum, maximum, and distribution of the values of your opaque data type.

When the database server computes the minimum, maximum, and distribution of values for built-in data types, it uses the standard ASCII sequence to order the values. However, opaque data types can be much more complicated. For example, suppose you have a box opaque data type that contains values for its height and its width. You might decide that area of the box is an appropriate measure for determining the minimum and maximum values. The distribution, however, can be more complicated. If the area of the boxes varies, then area might be the appropriate way to assign boxes to bins. If the areas of your boxes are all similar, but the heights and widths vary, then height or width might be the best distribution criteria.

Example

The Box DataBlade® module has an example of statistics support routines.

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