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Gets the list of changes from the AspNet_SqlCacheTablesForChangeNotification table. Used to perform the polling. Extracts just the table names from the AspNet_SqlCacheTablesForChangeNotification table. Used to get a quick look at all the registered tables. Sets a table up to support notifications. This process works by adding a notification trigger to the table, which will fire when any row is inserted, deleted, or updated. Takes a registered table and removes the notification trigger so that notifications won t be generated. The notification trigger calls this stored procedure to update the AspNet_SqlCacheTablesForChangeNotification, thereby indicating that the table has changed.

2 covered how decorators themselves work and how they can be written to work in a variety of situations, though decorators for views have a few specific details that should be noted. These have less to do with the technical side of writing decorators and more with the nuances of how to achieve certain useful effects when working with views specifically. The most common task decorators are used for with views is to create a wrapper function around the original view. This allows the decorator to perform extra work beyond what the view itself would ordinarily do, including

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Even once you ve created the SqlCacheTablesForChangeNotification table, you still need to enable notification support for each individual table. You can do this manually using the SqlCacheRegisterTableStoredProcedure, or you can rely on aspnet_regsql, using the -et parameter to turn on the notifications and the -t parameter to name the table. Here s an example that enables notifications for the Employees table: aspnet_regsql -et -E -d Northwind -t Employees This step generates the notification trigger for the Employees table.

Now you have all the ingredients in place to use the notification system. For example, imagine you cache the results of a query like this: SELECT * FROM Employees This query retrieves records from the Employees table. To check for changes that might invalidate your cached object, you need to know if any record in the Employees table is inserted, deleted, or updated. You can watch for these operations using triggers. For example, here s the trigger on the Employees table that aspnet_regsql creates: CREATE TRIGGER dbo.[Employees_AspNet_SqlCacheNotification_Trigger] ON [Employees] FOR INSERT, UPDATE, DELETE AS BEGIN SET NOCOUNT ON EXEC dbo.AspNet_SqlCacheUpdateChangeIdStoredProcedure N'Employees' END The AspNet_SqlCacheUpdateChangeIdStoredProcedure stored procedure simply increments the changeId for the table: CREATE PROCEDURE dbo.AspNet_SqlCacheUpdateChangeIdStoredProcedure @tableName NVARCHAR(450) AS BEGIN UPDATE dbo.AspNet_SqlCacheTablesForChangeNotification WITH (ROWLOCK) SET changeId = changeId + 1 WHERE tableName = @tableName END GO The AspNet_SqlCacheTablesForChangeNotification contains a single record for every table you re monitoring. As you can see, when you make a change in the table (such as inserting a record), the changeId column is incremented by 1. ASP.NET queries this table repeatedly and keeps track of the most recent changeId values for every table. When this value changes in a subsequent read, ASP.NET knows that the table has changed. This hints at one of the major limitations of cache invalidation as implemented in SQL Server 2000 and SQL Server 7. Any change to the table is deemed to invalidate any query for that table. In other words, if you use this query: SELECT * FROM Employees WHERE City='London' the caching still works in the same way. That means if any employee record is touched, even if the employee resides in another city (and therefore isn t one of the cached records), the notification is

still sent and the cached item is considered invalid. Keeping track of what changes do and do not invalidate a cached data object is simply too much work for SQL Server 2000 (although it is possible in SQL Server 2005).

The first thing to consider when writing a decorator is that it receives all the arguments intended for the view itself. Previous sections covered this, but only in the usual context of using and to receive the arguments and pass them straight through to the wrapped function. With views, you know in advance that the first argument will always be the incoming request object, so a wrapper function can anticipate this and receive the request separately from the other arguments. By interacting with the request object prior to executing the view, decorators can do two important things: make decisions based on the incoming request and make changes to the request to alter how the view operates. These tasks aren t mutually exclusive and many decorators do both, such as the following example from Django.

The implementation of cache invalidation with SQL Server 2000 has more overhead than the implementation with SQL Server 2005 and isn t as fine-grained. As a result, it doesn t make sense for tables that change frequently or for narrowly defined queries that retrieve only a small subset of records from a table.

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