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SQL Server 2005 provides plenty of insight into its own operation. This is true also for query optimization. In the previous releases of SQL Server, the only product of query optimization was the query plan; the history of the optimization was forgotten, and only the final result was preserved. In SQL Server 2005, there exists a new peephole into the optimizer's activityit is the dynamic management view (DMV) sys.dm_exec_query_optimizer_info. This view provides cumulative information about all the optimizations performed since the SQL Server was started. Using this DMV, you can find out what optimizer events are happening while the optimizer is processing your batches. The sys.dm_exec_query_optimizer_info DMV returns three columns: counter , occurrence , and value . The column named counter provides the name of the optimizer event. The occurrence column shows the cumulative number of occurrences of the optimizer event, and some events are using the value column to provide additional event-specific values. For example, each time the optimizer chooses a trivial plan, the occurrence column value for the trivial plan counter will be increased by one. Similarly, you can find out how many times each optimization phasePhase 0, 1, or 2was executed by investigating the corresponding "search 0", "search 1", or "search 2" events. The value column is used, for example, for the "tables" eventit captures the average number of tables referenced in the optimized statements. Please refer to the sys.dm_exec_query_optimizer_info topic in the "SQL Server Language Reference" section of Books Online for a detailed description of all counters returned by the sys.dm_exec_query_optimizer_info DMV. When using sys.dm_exec_query_optimizer_info, you should be careful about the procedure cache. If the cache already contains the plan for your query or batch, the optimization phase is skipped and

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public static void RegisterRoutes(RouteCollection routes) { routes.MapRoute( "OnBoarding", string.Empty, new { controller = "OnBoarding", action = "Index" }); routes.MapRoute( "FederationResultProcessing", "FederationResult", new { controller = "ClaimsAuthentication", action = "FederationResult" }); routes.MapRoute( "FederatedSignout", "Signout", new { controller = "ClaimsAuthentication", action = "Signout" }); } }

/// <summary> /// Required method for Designer support - do not modify /// the contents of this method with the code editor. /// </summary> private void InitializeComponent() { this.Load += new System.EventHandler(this.Page_Load); } #endregion } }

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there will be no optimizer events generated. You can use DBCC FREEPROCCACHE to clear up the procedure cache to ensure the compilation will take place afterwards. However, you should be careful using the DBCC FREEPROCCACHE on production servers because it will delete the contents of the procedure cache, and all statements and stored procedures will have to be compiled anew. Because the counters of optimizer events are cumulative, you want to find their values before and after the optimization of your batch or workload if you are interested in the generated events and statistics. However, execution of 'select * from sys.dm_exec_query_optimizer_info' itself might generate optimizer events. Therefore, I have carefully constructed the code example in Listing 2-2 to avoid self-spoiling of the optimizer information provided by the sys.dm_exec_query_optimizer_info in SQL Server 2005. Your statement or batch has to be inserted in the marked place inside the example in Listing 2-2 . Out of the 38 types of events in this DMV, the example will display only those that either have changed the occurrence or value column as a result of your statement or batch. After you insert your code, you should execute the whole batch once from SSMS to obtain the optimizer events triggered by your code.

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There are also cases where you might want to be able to control the logical order of join processing beyond the observable order in which the tables are specified in the FROM clause. For example, consider the previous request to return all pairs of customer company name and supplier company name, where the supplier supplied products to the customer. Suppose you were also asked to return customers that made no orders. By intuition, you'd probably make the following attempt, using a left outer join between Customers and Orders: SELECT DISTINCT C.CompanyName AS customer, S.CompanyName AS supplier FROM dbo.Customers AS C LEFT OUTER JOIN dbo.Orders AS O ON O.CustomerID = C.CustomerID JOIN dbo.[Order Details] AS OD ON OD.OrderID = O.OrderID JOIN dbo.Products AS P ON P.ProductID = OD.ProductID JOIN dbo.Suppliers AS S ON S.SupplierID = P.SupplierID;

By now, most of this code should look familiar, but one part of the listing, shown here, might not be obvious: strRet=Article.GetArticle( ref strDate,"Ragone, Nick", "Doug","Testonly");

The previous query returned 1,236 pairs of customer-supplier, and you expected this query to return 1,238 rows (because there are two customers that made no orders). However, this query returns the same result set as the previous one without the outer customers. Remember that the first join takes place only between the first two tables (Customers and Orders), applying the first three phases of query logical processing, and results in a virtual table. The resulting virtual table is then joined with the third table ([Order Details]), and so on. The first join did in fact generate outer rows for customers with no orders, but the OrderID in those outer rows was NULL, of course. The second joinbetween the result virtual table and [Order Details]removed those outer rows because an equijoin will never find a match based on a comparison to a NULL. There are several ways to make sure that those outer customers will not disappear. One technique is to use a left outer join in all joins, even though logically you want inner joins between Orders, [Order Details], Products, and Suppliers:

SELECT DISTINCT C.CompanyName AS customer, S.CompanyName AS supplier FROM dbo.Customers AS C LEFT OUTER JOIN dbo.Orders AS O ON O.CustomerID = C.CustomerID LEFT OUTER JOIN dbo.[Order Details] AS OD ON OD.OrderID = O.OrderID LEFT OUTER JOIN dbo.Products AS P ON P.ProductID = OD.ProductID LEFT OUTER JOIN dbo.Suppliers AS S ON S.SupplierID = P.SupplierID;

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