Home
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.
Create DataBlade® objects by using BladeSmithUse BladeSmith to create DataBlade® modules.
Create DataBlade® module objectsBladeSmith uses wizards to create and edit objects.
Create routinesYou can define public or private user-defined routines that support your DataBlade® module. You can specify if the routine is called by SQL or is an internal routine.
Parallelizable routinesMark a routine as parallelizable if it can be executed within a parallel database query (PDQ) statement. PDQ statements allow the HCL Informix® database server to distribute the executions of one query among several processors by dividing the query into subqueries. The database server then allocates subqueries to separate threads for parallel processing and thus improves performance.

Parallelizable routines

Mark a routine as parallelizable if it can be executed within a parallel database query (PDQ) statement. PDQ statements allow the HCL Informix® database server to distribute the executions of one query among several processors by dividing the query into subqueries. The database server then allocates subqueries to separate threads for parallel processing and thus improves performance.

See Informix User-Defined Routines and Data Types Developer's Guide for more information about using the parallelizable option.

Use routine parallelization if your routine is used as an expression in qualification clauses, in GROUP BY lists, or as an overloaded comparison operator.

A routine cannot be parallelizable if it accepts row or collection data types as arguments.

C and Java™ routines are parallelizable if they call only the DataBlade® API routines listed in the following categories from the Informix DataBlade API Programmer's Guide:

Data handling, except for collection manipulation functions
Session, thread, and transaction management
Function execution
Memory management
Exception handling
Callbacks
Miscellaneous

For more information about the routines under each category, see the Informix DataBlade API Programmer's Guide.

Rate this topic

5 stars 4 stars 3 stars 2 stars 1 star

Comment on this topic.

By clicking this box, you acknowledge that you are NOT a U.S. Federal Government employee or agency, nor are you submitting information with respect to or on behalf of one. HCL provides software and services to U.S. Federal Government customers through its partners immixGroup, Inc. Contact this team at https://hcltechsw.com/resources/us-government-contact. Do not include any personal data in this Comment box.