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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® API Programmer's GuideThe Informix® DataBlade® API Programmer's Guide describes information about the DataBlade® API, the C-language application programming interface (API) provided with HCL Informix®.
Data manipulation
Numeric data typesThis section describes these numeric data types and the functions that the DataBlade® API supports to process numeric data.
Floating-point dataA floating-point value is a large decimal value that is stored in a fixed field width. Because the field width is fixed, a floating-point number that is larger than the field width only retains its most significant digits. That is, digits that do not fit into the fixed width are dropped (rounded or truncated).
Obtain floating-point type informationThe DataBlade® API provides functions to obtain the precision of a floating-point DECIMAL (DECIMAL(p)).

Obtain floating-point type information

The DataBlade® API provides functions to obtain the precision of a floating-point DECIMAL (DECIMAL(p)).

Table 1. DataBlade API functions that obtain the precision of a floating-point DECIMAL
Source	DataBlade API functions
For a data type	mi_type_precision()
For a UDR argument	mi_fp_argprec(), mi_fp_setargprec()
For a UDR return value	mi_fp_retprec(), mi_fp_setretprec()
For a column	mi_column_precision()
For an input parameter in a prepared statement	mi_parameter_precision()

Tip: The FLOAT and SMALLFLOAT data types do not have precision and scale values.

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