DB2 Version 9.7 for Linux, UNIX, and Windows

Routines: Functions

Functions are relationships between sets of input data values and a set of result values. They enable you to extend and customize SQL. Functions are invoked from within elements of SQL statements such as a select-list or a FROM clause.

There are four types of functions:
Aggregate functions
Also called a column function, this type of function returns a scalar value that is the result of an evaluation over a set of like input values. The similar input values can, for example, be specified by a column within a table, or by tuples in a VALUES clause. This set of values is called the argument set. For example, the following query finds the total quantity of bolts that are in stock or on order by using the SUM aggregate function:
    SELECT SUM (qinstock + qonorder)
    FROM inventory
    WHERE description LIKE '%Bolt%'
Scalar functions
A scalar function is a function that, for each set of one or more scalar parameters, returns a single scalar value. Examples of scalar functions include the LENGTH function, and the SUBSTR function. Scalar functions can also be created that do complex mathematical calculations on function input parameters. Scalar functions can be referenced anywhere that an expression is valid within an SQL statement, such as in a select-list, or in a FROM clause. The following example shows a query that references the built-in LENGTH scalar function:
    SELECT lastname, LENGTH(lastname)
    FROM employee
Row functions
A row function is a function that for each set of one or more scalar parameters returns a single row. Row functions can only be used as a transform function mapping attributes of a structured type into built-in data type values in a row.
Table functions
Table functions are functions that for a group of sets of one or more parameters, return a table to the SQL statement that references it. Table functions can only be referenced in the FROM clause of a SELECT statement. The table that is returned by a table function can participate in joins, grouping operations, set operations such as UNION, and any operation that could be applied to a read-only view. The following example demonstrates an SQL table function that updates an inventory table and returns the result set of a query on the updated inventory table:
CREATE FUNCTION updateInv(itemNo VARCHAR(20), amount INTEGER)
   RETURNS TABLE (productName VARCHAR(20),
                  quantity INTEGER)
   LANGUAGE SQL
   MODIFIES SQL DATA
   BEGIN ATOMIC
 
     UPDATE Inventory as I
       SET quantity = quantity + amount
         WHERE I.itemID = itemNo;
 
     RETURN
       SELECT I.itemName, I.quantity
         FROM Inventory as I
           WHERE I.itemID = itemNo;
   END
Functions provide support for the following features:

There are system-defined functions that are ready-to-use, or users can create user-defined functions. Functions can be implemented as SQL functions or as external functions. SQL functions can be either compiled or inlined. Inlined functions perform faster than compiled functions, but can execute only a subset of the SQL PL language. See the CREATE FUNCTION statement for more information.