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The cost of this query is 0.56 and the number of page reads is 706 (neither metric is accurate and thus cannot be used to gauge performance), while the execution time on the test machine used in this example is 25 seconds. Examine the graphical execution plan and note that it contains no reference to the Sales.Customer table. The following is an example query that uses a correlated subquery in place of the UDF. The query s execution plan is shown in Figure 6-4:

WebService.MyWebService ws2 = new WebService.MyWebService();

XmlValidatingReader aValReader;

ws2.VendorHeaderValue = wsHeader;

USE AdventureWorks;

string ret;

aValReader = new XmlValidatingReader(aReader);

ret = ws2.GetPurchaseTotal(1, DateTime.Parse("09/01/03"), DateTime.Parse("09/30/03"));

SET STATISTICS IO ON; SET STATISTICS TIME ON;

System.Xml.XmlDocument doc = new System.Xml.XmlDocument();

SELECT soh.SalesOrderID ,soh.OrderDate ,ISNULL( ( SELECT AccountNumber FROM Sales.Customer WHERE CustomerID = soh.CustomerID ), 'NOT FOUND') FROM Sales.SalesOrderHeader AS soh;

doc.LoadXml(ret);

The 70-526 exam objectives were created while the version 2.0 of the .NET Framework was still under development. Between the time the objectives were released and the .NET Framework was released, XmlValidatingReader was made obsolete and was replaced by validating functionality built into the XmlReader class. To provide coverage for the exam, this book covers both classes. In the real world, you should always use XmlReader to validate XML documents.

System.Xml.XmlNode node;

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The cost of the query without the UDF goes up to 1.05 and the number of page reads to 742 (both of which are accurate values). At the same time, the execution time drops to about 1 second. As you can see, the first query using the UDF is about 25 times slower than the latter query because of the UDF use.

node = doc.SelectSingleNode("Purchasing.PurchaseOrderHeader");

XmlValidatingReader scans the XML for any schema, detecting both inline schema and referenced schema. Referenced schema are loaded, or they can be preloaded by add ing them to the Schemas property.

node.Attributes.GetNamedItem("SumSubTotal").InnerXml.ToString() + "<br>Tax Amount: " + node.Attributes.GetNamedItem("SumTaxAmt").InnerXml.ToString() + "<br>Freight: " + node.Attributes.GetNamedItem("SumFreight").InnerXml.ToString() + "<br>Total Due: " + node.Attributes.GetNamedItem("SumTotalDue").InnerXml.ToString();

Why was the inline table-valued UDF so much faster The use of inline table-valued UDFs or views does not incur the same performance penalty as the use of scalar UDFs because both inline table-valued UDFs and views are optimized (expanded) into the query plan.

15. Build the project, and resolve any errors. 16. Right-click the MyWebServiceClient project in Solution Explorer, and then click Set As Startup Project. Also, right-click the Default.aspx page, and then click Set As Start Page.

9

There are three different types of table-valued UDFs. Two of them can be developed in T-SQL and the other one in a CLR language, such as C# or Microsoft Visual Basic .NET:

2

17. Press Ctrl+F5 to start without debugging. Your Web browser should open. Point to the Default.aspx file for the MyWebServiceClient project. 18. The Web page rendered should display amounts such as the following:

5, Programming Microsoft SQL Server with T-SQL User-Defined Stored Procedures, Functions, Triggers, and Views, explains T-SQL UDFs in greater detail. 7, Extending Microsoft SQL Server Functionality with XML, SQLCLR, and Filestream, gives more information about CLR UDFs.

The type of schema validation is determined by the ValidationType property. The pos sible values for the ValidationType property are shown in Table 9-5

Sub Total: 572.1660

Tax Amount: 45.7732

These different types of functions behave differently. A T-SQL inline table-valued UDF is actually just a view that can accept parameters. It is optimized in the same way as a view or any SELECT statement would be. An advantage of using inline table-valued UDFs instead of views is that you can require the user that uses the function to supply parameters. In this way you can make sure that a filter is always used for the query inside the function (based on the parameters provided).

Freight: 14.3040

Table 9-5

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