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) Then estimate the maximum number of concur rent executions of unique queries (The word concurrently in this case represents a duration of 300 seconds because that is the minimum time span that data should be held in the buffer cache to achieve acceptable performance) For example, let s assume in a simplified scenario that your organization s database application consists of only three queries, Query A, Query B, and Query C To predict buffer cache memory requirements for this database application, you might estimate that during times of peak database usage, 30 users will execute Query A with a unique output of 400 KB, 20 users will execute Query B with a unique output of 300 KB, and 50 users will execute Query C with a unique output of 100 KB The buffer cache requirements of these three queries can then be added together.

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ALTER TABLE Test.Orders NOCHECK CONSTRAINT FKOrdersCustomers;

In this example, Query A requires approximately 120 MB in the buffer cache, Query B requires 60 MB,.

For more information about how to handle triggers and business logic in transactional and merge replication, search for Specifying How Changes Are Propagated for Transactional Articles, Executing Business Logic During Merge Synchronization, and Specifying the Processing Order of Merge Articles in Books Online, or access msdn2.microsoft.com/en-us/library/ms152489(d=ide).aspx, msdn2.microsoft.com/ en-us/library/ms152495(d=ide).aspx, and msdn2.microsoft.com/en-us/library/ms152469(d=ide).aspx.

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After executing the same query again, you get a new execution plan, as shown in Figure 5-3. The query optimizer executes the exists operator (in this case, the Nested Loops icon in the execution plan) to return only those orders that actually have a valid reference to the Test.Customers table. Because you turned off the foreign key constraint, SQL Server could not be sure that all orders actually have valid customer references and, therefore, had to execute the exists operator. For a large table, this can make a huge difference in execution time and input/output.

The procedure cache is also known as the query plan cache, the query cache, or the plan cache. This is the area in memory that stores execu tion plans, which define, for any stored procedure or ad hoc query, an optimal sequence in which to access tables and an optimal method to extract data from each table.

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SQL Server stores execution plans in memory so that they can be recycled by users executing the same stored procedure or ad hoc query More specifically, all users exe cuting a particular query will share the portion of the execution plan known as the query plan (also known as the compiled plan) This query plan is the portion of the exe cution plan that contains no user context information or data-variable values The portion of the execution plan that is unique to each user is known as the execution context or executable plan This data structure holds data such as parameter values spe cific to the user s context and enables the query to be executed Each user concur rently executing a given query will use the shared query plan and a unique execution context.

ALTER TABLE Test.Orders CHECK CONSTRAINT FKOrdersCustomers;

Large Objects (LOBs) require more storage space and processing than other column data types. You should not include LOBs in articles unless they are necessary for your application. If you do include LOBs, Microsoft recommends that you use the varchar(max), nvarchar(max), and varbinary(max) data types. The text, ntext, and image data types are deprecated in SQL Server 2005.

To size memory requirements for the procedure cache, you need to estimate the size and number of concurrent query plans and execution contexts To do so, first gather all the query types contained in your database applications Then calculate the amount of space required to store in memory the text of each query Remember when performing this calculation that each character of text is equivalent to one byte For example, if a certain stored procedure consists of 4000 characters, you can estimate the textual space requirements of that particular query to be approximately 4 KB of memory Next, for each query, estimate the maximum number of concurrent executions For example, you might estimate this same stored procedure to be executed a maxi mum of 500 times concurrently.

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