SQL Server 2000 Stored Procedure & XML Programming in .NET

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SQL Server 2000 Stored Procedure & XML Programming
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You can test the function with the following:
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SELECT 'select * from vInventory where Make = ''' + dbo.fnSafeDynamicString ('Dejan' + char(39) + 's Computers Inc.', 0) + ''''
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This test simulates a case in which a user enters the following text on the screen:
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Dejan' s Computers Inc.
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-----------------------------------------------------------------select * from vInventory where Make = 'Dejan''s Computers Inc.' (1 row(s) affected)
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In the case of a Like query, you must prevent the user from using wild cards. The following query simulates a case in which a user enters % in the text box. It also assumes that the application or stored procedure is adding another % at the end of the query.
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SELECT 'select * from vInventory where Make like ''' + dbo.fnSafeDynamicString ('%a', 1) + '%'''
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When you set the second parameter of the function to 1, the function replaces the first % character with [%], in which case it will not serve as a wild card:
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----------------------------------------------select * from vInventory where Make = '[%]a%' (1 row(s) affected)
Optimistic Locking Using timestamp Values
When more than one user is working in a database, you might expect some concurrency problems to appear. The most common problem is the following: User A reads a record. User B also reads the record and then changes it. Any changes that user A now decides to commit to the database will overwrite the changes that user B made to it, without knowing that user B already changed it. Two standard solutions for this kind of problem are the following:
9: Advanced Stored Procedure Programming
Pessimistic locking Optimistic locking In the pessimistic locking scenario, user A acquires a lock on the record so that nobody can change it until user A is finished with it. User A is a pessimist and expects that someone will attempt to change the record while user A is editing it.
NOTE
I will not go into the details of how locks are implemented. Locks are covered in detail in other SQL Server books. At this time, it is important to know that it is possible to mark a record so that nobody else can change it.
When user A changes the record, the lock is released and user B can now access the updated record and change it. The trouble with this solution is that user A might go out for lunch or on vacation and, if user A didn t close the application that retrieved the record, the lock will not be released. This scenario is one of the reasons why this kind of solution is not recommended in a client/server environment. In the optimistic locking scenario, user A locks the record only while he or she is actually performing the change. User A is an optimist who believes that nobody while change the record while user A is editing it. A mechanism in SQL Server will notify other users if somebody has changed the record in the meantime. The user can then decide either to abandon their changes or to overwrite the updated record. A simple way to find out whether somebody has changed a record since the time user A read it would be to compare all fields. To run this comparison, user A must keep both an original and a changed record and needs to send them both to the server. Then, a process on the server must compare the original record with the current record in the table to make sure that it wasn t changed. Only then can the record be updated with the changed record. This process is obviously slow and increases network traffic, but there are solutions in the industry that use precisely this method.
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