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This code implements a straightforward data-aggregation algorithm based on sorting. The cursor is de ned on a query that sorts the data by shipperid and orderdate, and it scans the records in a forward-only, read-only manner the fastest scan you can get with a cursor. For each shipper, the code inspects the last row found which happens to hold the maximum orderdate for that shipper and if that date is earlier than 20040101 , the code emits the shipperid value. This code ran on my computer for 28 seconds. Imagine the run time in a larger Orders table that contains millions of rows.



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protected void AddDVDsToListBox() { this.ListBoxProducts.Items.Add("DVDthis.ListBoxProducts.Items.Add("DVDthis.ListBoxProducts.Items.Add("DVDthis.ListBoxProducts.Items.Add("DVD}

Late binding is the instantiation and manipulation of types at run time. This is most often used by scripting engines and applications that accept pluggable modules for example, an application server that allows modules to be loaded dynamically.

4

The next solution (call it set-based solution 1) is a natural GROUP BY query that many programmers would come up with:





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SELECT shipperid FROM dbo.Orders GROUP BY shipperid HAVING MAX(orderdate) < '20040101';

You just say what you want rather than spending most of your code describing how to get it. The query groups the data by shipperid, and it returns only shippers with a maximum orderdate that is earlier than 20040101 . This query ran for about one second on my computer. The optimizer produced the execution plan shown in Figure 4-67 for this query.

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Type x_type = typeof(System.Text.StringBuilder); object first_instance = Activator.CreateInstance(x_type, new object[] {"C# for Java Developers"}); ConstructorInfo x_constructor = x_type.GetConstructor( new Type[] {typeof(System.String)}); object x_second_instance = x_constructor.Invoke( new object[] {"C# for Java Developers"});

protected void Page_Load(object sender, EventArgs e) { if (this.Request.Params["ID"] == "1") { this.LabelProductType.Text = "CDs"; AddCDsToListBox(); } else if (this.Request.Params["ID"] == "2") { this.LabelProductType.Text = "DVDs"; AddDVDsToListBox(); } else { this.LabelProductType.Text = "All CDs and DVDs"; AddCDsToListBox(); AddDVDsToListBox(); } }

The plan shows that our covering index was fully scanned in order. The maximum orderdate was isolated for each shipperid by the Stream Aggregate operator. Then the lter operator ltered only shippers for whom the maximum orderdate was before 20040101 . Here are the vital performance measures I got for this query:

Note that you might get slightly different performance measures At this point, you need to ask yourself if you re happy with the result and, if you re not, whether you have potential for optimization at all Of course, this solution is a big improvement over the cursor-based one in terms of both performance and code readability and maintenance However, a run time of close to one second for such a query might not be satisfactory Keep in mind that an Orders table in some production environments can contain far more than one million rows If you determine that you want to tune the solution further, you now need to gure out whether you have potential for optimization Remember that in the execution plan for the last query, the leaf level of the index was fully scanned to obtain the latest orderdate for each shipper.

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