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DML Triggers respond to user INSERT, UPDATE, or DELETE operations against a table or a view. When a data modification event occurs, the trigger performs a set of actions defined within the trigger. Similar to stored procedures, triggers are defined in Transact-SQL and allow a full range of activities to be performed. A DML trigger can be defined specifically as FOR UPDATE, FOR INSERT, FOR DELETE, or any combination of the three. UPDATE triggers respond to modifications against one or more columns within the table, INSERT triggers respond to new data being added to the database, and DELETE triggers respond to data being deleted from the database. There are two types of DML triggers: AFTER and INSTEAD OF. AFTER triggers are only allowed for tables, and they execute after the data modification has been completed against the table. INSTEAD OF triggers execute instead of the original data modification and can be created for both tables and views. DML triggers allow you to perform actions in response to data modifications in a table. For example, you can create a trigger that populates an audit table based on the operation performed, or perhaps use the trigger to decrement the value of a quantity. Although this is a powerful feature, there are a few things to keep in mind before your use of triggers proliferates:

A similar concept to cropping is chopping. Chopping is when you remove columns and rows from the image. For example: convert -chop 100x100+200+200 input.jpg output.jpg Confusingly, the first two numbers here are the size of the portion of the image to remove, and the second two numbers are the location of the column and row to remove. The previous command line will give you the image shown in Figure 2-11.

Triggers can often become a hidden and hence forgotten problem. When troubleshooting performance or logical issues, DBAs can forget that triggers are executing in the background. Make sure that triggers are visible in your data documentation. If you can ensure that all your data modifications flow through a stored procedure, I would strongly recommend you perform all activities within the stored procedure, rather than use a trigger. For example, if you need to update a quantity in a related table, after inserting a sales record, why not put this logic in the stored procedure instead The advantages are manageability (one place to look) and supportability (one place to troubleshoot), when the procedure needs modifications or performs unexpected actions. Always keep performance in mind, and this means writing triggers that execute quickly. Longrunning triggers can significantly slow down data modification operations. Take particular care in putting triggers into databases with frequent data modifications. Non-logged updates do not cause a DML trigger to fire (for example WRITETEXT, TRUNCATE TABLE, and bulk insert operations). Constraints usually run faster than a DML trigger, so if your business requirements can be fulfilled by a constraint, use constraints instead. AFTER triggers run after the data modification has already occurred, so they cannot be used to prevent a constraint violation. Don t allow result sets from a SELECT statement to be returned within your trigger. Most applications can t consume these in an elegant fashion, and embedded queries can hurt the trigger s performance. As long as you keep these general guidelines in mind, and use them properly, triggers are an excellent means of enforcing business rules in your database.