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Correlated subqueries include a reference to the outer query. Typically, this reference is used to filter the correlated subquery. A correlated subquery is typically equal in performance compared to using a JOIN when used in combination with the EXISTS operator to filter the outer query. The following example query uses the EXISTS operator to return only products that have been sold:

To experiment with the mechanics of asynchronously invoking a service operation by using a proxy, you first need to define a function that will be called back when the asynchronously invoked operation completes. 9. Define the following function directly below the Main method in the main code file (Program.cs or Module1.vb as appropriate):

USE AdventureWorks;

SELECT p.ProductID, p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Sales.SalesOrderDetail AS sod WHERE sod.ProductID = p.ProductID );

' VB Sub HandleTaskAdded(ByVal ar As IAsyncResult) Dim proxy As TaskManagerServiceClient proxy = CType(ar.AsyncState, TaskManagerServiceClient) Dim ack As TaskAcknowledgement ack = proxy.EndAddTask(ar) Console.WriteLine( _ "Task number {0} was added to service", _ ack.TaskNumber) End Sub // C# static void HandleTaskAdded(IAsyncResult ar) { TaskManagerServiceClient proxy = ar.AsyncState as TaskManagerServiceClient; TaskAcknowledgement ack = proxy.EndAddTask(ar); Console.WriteLine( "Task number {0} was added to service", ack.TaskNumber); }

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While this type of correlated subquery is typically a good implementation, the use of correlated subqueries in the SELECT clause often has a negative effect on performance compared to JOINs. Of course, this depends on the number of rows returned by the outer query. If a large number of rows are returned, each query in the SELECT clause would be executed for each row, so that means a large number of query executions. The following

10. Define the Main method (Program.Main or Module1.Main as appropriate) so that it matches the following code, which instantiates the proxy class generated by the svcutil command and invokes the AddTask operation asynchronously:

query returns 6,224 rows and includes two correlated subqueries. Each of these queries is executed once per row, resulting in a total of 12,448 subquery executions:

' VB Sub Main() Dim proxy As TaskManagerServiceClient proxy = New TaskManagerServiceClient() Try Dim task As New Task() task.CreatedBy = "Eric"

USE AdventureWorks;

4

SELECT soh.SalesOrderID ,soh.OrderDate ,( SELECT TOP(1) sod1.UnitPrice FROM Sales.SalesOrderDetail AS sod1 WHERE sod1.SalesOrderID = soh.SalesOrderID ORDER BY sod1.OrderQty DESC ) AS UnitPrice ,( SELECT TOP(1) sod2.OrderQty FROM Sales.SalesOrderDetail AS sod2 WHERE sod2.SalesOrderID = soh.SalesOrderID ORDER BY sod2.OrderQty DESC ) AS OrderQty FROM Sales.SalesOrderHeader AS soh WHERE soh.TerritoryID = 4;

task.AssignedTo = "Ian" task.DateCreated = DateTime.Now task.DateLastModified = task.DateCreated task.Description = "Practice your saxophone" task.DueDate = DateTime.Now.AddDays(3) Dim cb As AsyncCallback cb = New AsyncCallback(AddressOf HandleTaskAdded) proxy.BeginAddTask(task, cb, proxy) Console.WriteLine( _ "Asynchronously adding a task to the service; " + _ "Press Enter to exit") Console.ReadLine() Catch ex As Exception Console.WriteLine("Error: {0}", ex.Message) End Try End Sub // C# static void Main(string[] args) { try { TaskManagerServiceClient proxy = new TaskManagerServiceClient(); Task task = new Task(); task.CreatedBy = "Eric"; task.AssignedTo = "Ian"; task.DateCreated = DateTime.Now; task.DateLastModified = task.DateCreated; task.Description = "Practice your saxophone"; task.DueDate = DateTime.Now.AddDays(3); AsyncCallback cb = new AsyncCallback(HandleTaskAdded); proxy.BeginAddTask(task,cb,proxy); Console.WriteLine( "Asynchronously adding a task to the service; " + "Press Enter to exit"); Console.ReadLine(); } catch (Exception ex) { Console.WriteLine("Error: {0}", ex.Message); } }

There is also a potential bug in this query. Because each subquery is executed separately, they might end up using different indexes. This means that these queries might not return values from the same row (which they are probably intended to) if the same value for OrderQty exists for multiple sales order details in any sales order. There are several ways to rewrite this query; the most common one in SQL Server 2008 is probably to use the new APPLY clause. If the subquery is used in the FROM, JOIN, or APPLY clauses, it might also be referred to as a derived table, as explained in 4. The APPLY clause basically gives you the opportunity to combine two subqueries into one, cutting the number of subquery executions in half. For the new query to return the same results as the previous query, you must use an OUTER APPLY. (An OUTER APPLY works similarly to a left outer join, and its counterpart, the CROSS APPLY clause, behaves like an inner join.) This works in this example because, in the previous query, the outer query returns a row even if the subqueries return nothing. The new query could be written as follows:

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