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This section brie y describes and demonstrates the concept of indexed views for the sake of completeness. I won t conduct a lengthy discussion on the subject here. I ll provide a bit more details in Inside T-SQL Programming. SQL Server allows you to create indexes on views not just on tables. Normally, a view is a virtual object, and a query against it ultimately queries the underlying tables. However, when you create a clustered index on a view, you materialize all of the view s contents within the clustered index on disk. After creating a clustered index, you can also create multiple nonclustered indexes on the view as well. The data in the indexes on the view will be kept in sync with the changes in the underlying tables as with any other index.



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Java programmers will have little trouble learning the C# language. The difficulty in learning to develop for the .NET platform is in learning the APIs contained in the .NET class libraries. The quickest way for Java programmers to become proficient in C# and .NET is to read this book and write code, code, and more code.

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Indexed views are bene cial mainly in reducing I/O costs and expensive processing of data. Such costs are especially apparent in aggregation queries that scan large volumes of data and produce small result sets and in expensive join queries. For example, the following code creates an indexed view that is designed to tune aggregate queries that group orders by empid and YEAR(orderdate), returning the count of orders for each group:

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USE Performance; IF OBJECT_ID('dbo.EmpOrders', 'V') IS NOT NULL DROP VIEW dbo.EmpOrders; GO CREATE VIEW dbo.EmpOrders WITH SCHEMABINDING AS SELECT empid, YEAR(orderdate) AS orderyear, COUNT_BIG(*) AS numorders FROM dbo.Orders GROUP BY empid, YEAR(orderdate); GO CREATE UNIQUE CLUSTERED INDEX idx_ucl_eid_oy ON dbo.EmpOrders(empid, orderyear);

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Both Java and .NET address many of the same issues and offer similar features; after all, they are both platforms attempting to address contemporary IT issues. However, different ideologies lie at their hearts, and different organizations guide their future. There is undeniable strength in a single, well-executed vision backed by substantial money and resources. Microsoft has hit the road running with the first release of .NET. Time will see more legacy Microsoft products and technologies either replaced by or integrated into the .NET platform. Still, at this point, we're not predicting anything other than an even share of the enterprise market going to Java and .NET in the coming years. Whatever the outcome, both Java and .NET will be important platforms in the years to come. We have been happy and successful Java developers for many years, but primarily we are technologists. We looked at .NET and liked what we saw; we would suggest all Java programmers do the same and make an informed decision for themselves.

Query the view, and you will get the execution plan shown in Figure 4-52, showing that the clustered index on the view was scanned:

SELECT empid, orderyear, numorders FROM dbo.EmpOrders;

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Using the Interlocked class introduces tidier code and removes the need to use typeof to protect static variables. The variable must be annotated with the ref keyword to ensure that the target variable is modified. Omitting the annotation causes the value of the instance to be copied and modified without affecting the original instance, in which case simultaneous calls to Interlocked will be dealing with different values.

The view contains a very small number of rows (around a couple of thousand) compared to the number of rows in the table (a million). The leaf of the index contains only about 10 pages. Hence, the I/O cost of the plan would be about 10 page reads. Here are the performance measures I got for this query:

Interestingly, if you work with an Enterprise (or Developer) edition of SQL Server, the optimizer will consider using indexes on the view even when querying the underlying tables directly. For example, the following query produces a similar plan to the one shown in Figure 4-52, with the same query cost:

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