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The code looks similar, but the function is called more like a function call in other programming languages You are probably still asking yourself, What s the difference Well, in addition to calling a function and putting its return into a variable, you can call UDFs inline with other code Consider the following example of a UDF that returns a new employee ID This function is being called inline with the insert statement for the employee table Calling UDFs in this way prevents you from writing extra code to store a return variable for later use
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The next big difference in UDFs is the type of data they return UDFs that can return single values are known as scalar functions The data the function returns can be defined as any data type except for text, ntext, image, and timestamp To this point, all the examples we have looked at have been scalar values UDFs can also be defined as table-valued functions: functions that return a table data type Again, table-valued functions can be called inline with other T-SQL code and can be treated just like tables Using the following code, we can pass the employee ID into the function and treat the return as a table
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SELECT * FROM dboEmployeeData(8765448)
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You can also use table-valued functions in joins with other functions or with base tables UDFs are used primarily by developers who write T-SQL code against your database, but you can use UDFs to implement business rules in your model UDFs also can be used in check constraints or triggers to help you maintain data integrity
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Triggers and constraints are the two most common ways to enforce data integrity and business rules in your physical database Triggers are stored T-SQL scripts, similar to stored procedures, that run when a DML statement (other than SELECT) is issued against a table or view There are two types of DML triggers available in SQL Server With an AFTER trigger, which can exist only on tables, the DML statement is processed, and after that operation completes, the trigger
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code is run For example, if a process issues an insert to add a new employee to a table, the insert triggers the trigger The code in the trigger is run after the insert as part of the same transaction that issued the insert Managing transactions is a bit beyond the scope of this book, but you should know that because the trigger is run in the same context as the DML statement, you can make changes to the affected data, up to and including rolling back the statement AFTER triggers are very useful for verifying business rules and then canceling the modification if the business rule is not met During the execution of an AFTER trigger, you have access to two virtual tables one called Inserted and one called Deleted The Deleted table holds a copy of the modified row or rows as they existed before a delete or update statement The Inserted table has the same data as the base table has after an insert or update This arrangement allows you to modify data in the base table while still having a reference to the data as it looked before and after the DML statement These special temporary tables are available only during the execution of the trigger code and only by the trigger s process When creating AFTER triggers, you can have a single trigger fire on any combination of insert, update, or delete In other words, one trigger can be set up to run on both insert and update, and a different trigger could be configured to run on delete Additionally, you can have multiple triggers fire on the same statement; for example, two triggers can run on an update If you have multiple triggers for a single statement type, the ordering of such triggers is limited Using a system stored procedure, sp_settriggerorder, you can specify which trigger fires first and which trigger fires last Otherwise, they are fired in the middle somewhere In reality, this isn t a big problem We have seen very few tables that had more than two triggers for any given DML statement INSTEAD OF triggers are a whole different animal These triggers perform in the way you would expect: The code in an INSTEAD OF trigger fires in place of the DML statement that caused the trigger to fire Unlike AFTER triggers, INSTEAD OF triggers can be defined on views as well as tables Using them, you can overcome the limitation of views that have multiple base tables As mentioned earlier, you can update a view only if you limit your update to affecting only a single base table Using an INSTEAD OF trigger, you can update all the columns of a view and use the trigger to issue the appropriate update against the appropriate base table You can also use INSTEAD OF triggers to implement advanced data integrity or business rules by completely changing the action of a DML statement
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