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You can do many things to improve this kind of system: Denormalization This is probably the most effective way to improve the system SQL Server will have to query a smaller number of tables You can create a redundant set of tables (one or more, depending on the subject) and periodically (for example, every hour or every day) transfer data from the normalized tables to it An additional benefit is that readers and writers will not block each other Limit the result set Most search engines on the Web limit the number of results that the user can return (for example, 200 or 500 records) Split results rather than limit result sets Users should be able to access records in batches (of, for example, 25 or 50 records) Chances are that the user will browse through only the first couple of pages.

The rule of thumb is to avoid the use of cursors whenever possible. However, in some cases such avoidance is not possible. Cursors can be used to perform operations that cannot be performed using set-oriented statements. It is acceptable to use cursors to perform processing based on statements, stored procedures, and extended stored procedures, which are designed to work with one item at a time. For example, the sp_addrolemember system stored procedure is designed to set an existing user account as a member of the SQL Server role. If you can list users that need to be assigned to a role, you can loop through them (using a cursor) and execute the system stored procedure for each of them. Excessive processing based on a single row (for example, business logic implemented in the form of an extended stored procedure) can also be implemented using a cursor. If you implement such a loop in a stored procedure instead of in a client application, you can reduce network traffic considerably. Another example could be the export of a group of tables from a database to text files using bcp. The bcp is a command prompt program that can work with one table at a time. To use it within a stored procedure, you need to execute it using the xp_cmdshell extended stored procedure, which can run just one command at a time:

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Create Procedure prBcpOutTables --loop through tables and export them to text fields @debug int = 0 As Declare @chvTable varchar(128), @chvCommand varchar(255) Declare @curTables Cursor -- get all USER-DEFINED tables from current database Set @curTables = Cursor FOR select name

When more than one user is working against a database, we might expect some concurrency problems to appear. Let s describe the most common problem. User A reads a record. User B also reads the record and then changes it. Any changes user A now decides to post to the database will overwrite the changes that user B made to it.

Two standard solutions for this kind of problem are pessimistic locking and optimistic locking In the pessimistic locking scenario, user A puts a lock on the record so that nobody can change it until he or she is finished with it (We 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 no,body else can change it) When user A changes the record, he or she also releases the lock and user B can now access the record and change it The trouble with this solution is that user A might go out for lunch or on vacation and, if he or she didn t close the application calling SQL Server, the lock will not be removed from the record.

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