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This recipe demonstrates how to drop the dbo.udf_ParseArray function created in earlier recipes: DROP FUNCTION dbo.udf_ParseArray

GNU C++ does not currently support the unused attribute because definitions without parameters are valid in C++.

Although there are three different types of user-defined functions (scalar, inline, and multi-statement), you need only drop them using the single DROP FUNCTION command. You can also drop more than one UDF in a single statement, for example: DROP FUNCTION dbo.udf_ParseArray, dbo.udf_ReturnEmployeeAddress, dbo.udf_CheckForSQLInjection

Before the language lawyers among you start complaining that ISO C s pragma feature should be used instead of __attribute__, consider the following points the GCC developers make in the GCC Texinfo help file: At the time __attribute__ was designed, there were two reasons for not using #pragma: 1. It is impossible to generate #pragma commands from a macro. 2. There is no telling what the same #pragma might mean in another compiler. These two reasons applied to almost any application that might have been proposed for #pragma. It was basically a mistake to use #pragma for anything. The first point is somewhat less relevant now, because the ISO C99 standard includes _Pragma, which allows pragmas to be generated from macros. GCC-specific pragmas (#pragma GCC), moreover, now have their own namespace. So why does __attribute__ persist Again, GCC developers explain that it has been found convenient to use __attribute__ to achieve a natural attachment of attributes to their corresponding declarations, whereas #pragma GCC is of use for constructs that do not naturally form part of the grammar.

User-defined functions are useful for both the performance enhancements they provide because of their cached execution plans and for their ability to encapsulate reusable code. Scalar functions in particular help make code more readable, and allow you to apply look-up rules consistently rather than repeating the same code multiple times throughout different stored procedures or views. Table-valued functions are also useful for allowing you to apply parameters to results, for example, using a parameter to define row-level security for a data set (demonstrated later on).

You can also apply __attribute__ to variables. The syntax is the same as for function attributes. GCC supports ten variable attributes: aligned deprecated mode nocommon packed section transparent_union unused vector_size weak To specify multiple attributes, separate them with commas within the double parentheses: for example, __attribute__ ((aligned (16),packed)). GCC defines other attributes for variables on particular target systems. Other front ends might define more or alternative attributes. For details, consult the GCC online help (info gcc). The aligned (n) attribute specifies a minimum alignment of n bytes for a variable or structure field. For example, the following declaration tells the compiler to allocate a global variable j aligned on a 16-byte boundary: int j __attribute__ ((aligned (16))) = 0; You can also specify the alignment of structure fields. For example, you can create a pair of ints aligned on an 8-byte boundary with the following declaration: struct pair { int x[2] __attribute__ ((aligned (8))); }; If you choose, you can omit a specific alignment value and simply ask the compiler to align a variable or a field in a way that is appropriate for the target. char s[3] __attribute__ ((aligned)); An aligned attribute lacking an alignment boundary causes the compiler to set the alignment automatically to the largest alignment ever used for any datatype on the target machine. Alignment is a valuable optimization because it can often make copy operations more efficient. How The compiler can use native CPU instructions to copy natural memory sizes when performing copies to or from aligned variables or fields.

Caution When designing user-defined functions, consider the multiplier effect. For example, if you create a scalar user-defined function that performs a look-up against a million-row table in order to return a single value, and a single look-up with proper indexing takes 30 seconds, chances are you are going to see a significant performance hit if you use this UDF to return values based on each row of another large table. If scalar user-defined functions reference other tables, make sure that the query you use to access the table information performs well, and doesn t return a result set that is too large.