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Each web request for the watch list page is intercepted by the filter and passed off to our controller servlet for processing. The JDOM Document is returned to the filter via the HttpRequest object. The filter determines the device type and preferred locale of the requesting client, just as our original servlet used to do. The filter selects the most appropriate XSL stylesheet and invokes an XSLT processor to transform the JDOM results into a target output format The filter sends the result of the XSLT transformation back to the user s device, where it is rendered for display.

However, imagine that the stored procedure s inputs vary considerably in selectivity some invocations have high selectivity whereas others have low selectivity . For example, the following code invokes the stored procedure with an input that has low selectivity:

To back up the contents of your My Documents and Favorites folders, as well as your desktop settings and any saved cookies

EXEC dbo.GetOrders '20060101';

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Because a plan is in cache, it will be reused, which is unfortunate in this case . I provided an input value earlier than the earliest orderdate in the table . This means that all rows in the table (830) qualify . The plan will require a clustered index lookup for each qualifying row . This invocation generated 1,664 logical reads, even though the whole Orders table resides on 21 data pages . Keep in mind that the Orders table is very small and that in production environments such a table would typically have millions of rows . The cost of reusing such a plan would then be much more dramatic given a similar scenario . For example, take a table with 1,000,000 orders residing on about 25,000 pages . Suppose that the clustered index contains three levels . Just the cost of the lookups would then be 3,000,000 reads: 1,000,000 3 = 3,000,000 . Obviously, in a case such as this, with a lot of data access and large variations in selectivity, it s a very bad idea to reuse a previously cached execution plan . Similarly, if you invoke the stored procedure for the first time with a low selectivity input, you get a plan that is optimal for that input one that issues a table scan (unordered clustered index scan) and that plan would be cached . Then, in later invocations, the plan would be reused even when the input has high selectivity . You can observe the fact that an execution plan was reused by querying the sys.syscacheobjects view, which contains information about execution plans:

For the sake of clarity, we oversimplify the view selection and XSLT transformation process. As discussed in chapter 2, special attention must be paid to precompiling and caching stylesheets in a production application, due to the performance characteristics of XSLT. In this version of our example, we concentrate on the interesting part, which is the transformation itself.

SELECT cacheobjtype, objtype, usecounts, sql FROM sys.syscacheobjects WHERE sql NOT LIKE '%sys%' AND sql LIKE '%33145F87-1109-4959-91D6-F1EC81F8428F%';

As you can see, planting a GUID in a comment embedded in the query makes it very easy to filter only the plans of interest . This code generates the following output:

cacheobjtype objtype usecounts sql -------------- -------- ---------- ---------------------------Compiled Plan Proc 2 CREATE PROC dbo.GetOrders...

Modifying the servlet Because our filter will select the appropriate stylesheet and no JSPs need to be invoked, our modified WatchListServlet component becomes quite simple. Its source code is shown in listing 5.8. The servlet now interacts with the ListBuilder interface and stores the JDOM Document in the HttpRequest object.

Notice that one plan was found for the GetOrders procedure in cache, and that it was used twice (usecounts = 2) . One way to solve the problem is to create two stored procedures one for requests with high selectivity and a second for low selectivity . You create another stored procedure with flow logic, examining the input and determining which procedure to invoke based on the input s selectivity that your calculations estimate . The idea is nice in theory, but it s very difficult to implement in practice . It can be very complex to calculate the boundary point dynamically without consuming additional resources . Furthermore, this stored procedure accepts only one input, so imagine how complex things would become with multiple inputs .

Another way to solve the problem is to create (or alter) the stored procedure with the RECOMPILE option, as in:

ALTER PROC dbo.GetOrders @odate AS DATETIME WITH RECOMPILE AS SELECT orderid, custid, empid, orderdate /* 33145F87-1109-4959-91D6-F1EC81F8428F */ FROM Sales.Orders WHERE orderdate >= @odate; GO

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