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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
Date and time data typesThis section describes the date and time data types and the functions that the DataBlade® API supports to process date and time data.
Date-time or interval dataThe DataBlade® API provides support for date-time or interval data in both text and binary representations.
Operations on date and time dataYou can use Informix® ESQL/C and DataBlade® API functions to perform operations on date and time data.

Operations on date and time data

You can use Informix® ESQL/C and DataBlade® API functions to perform operations on date and time data.

The Informix ESQL/C library provides functions to perform operations on DATETIME (mi_datetime) and INTERVAL (mi_interval) values.

Table 1. Informix ESQL/C function that perform operations on date and time data
Function name	Description
dtaddinv()	Adds an mi_interval value to a mi_datetime value
dtcurrent()	Gets current date and time
dtsub()	Subtracts one mi_datetime value from another
dtsubinv()	Subtracts an mi_interval value from a mi_datetime value
invdivdbl()	Divides an mi_interval value by a numeric value
invdivinv()	Divides an mi_interval value by an mi_interval value
invmuldbl()	Multiplies an mi_interval value by a numeric value

Any other operations, modifications, or analyses can produce unpredictable results.

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