qr code generator in vb.net Figure 3-10. Tree in Visual Studio .NET

Drawer QR Code JIS X 0510 in Visual Studio .NET Figure 3-10. Tree

Figure 3-10. Tree
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The numbers in the figure represent execution order of operators in a plan. If you feel more comfortable with the common tree representation in computer science as illustrated in Figure 3-10 , you would probably appreciate the depiction shown in Figure 3-11 of our CUBE query plan.
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Figure 3-11. Execution plan for CUBE query (reoriented)
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Logically, to produce such a plan, you need to rotate the original plan you get from SSMS 90 degrees to the left, and then flip it vertically. However, I guess that you wouldn't want to try this at home. It did take me a whole day to produce this graphic, working at the pixel level with one of my favorite toolsmspaint.exe. I did this mainly as a gesture to my mentor and friend Lubor Kollar. Lubor, this one is for you! Go back to the original execution plan for the CUBE query shown in Figure 3-9 to examine other aspects of the plan. Notice that there's a cost percentage associated with each operator. This value is the percentage of the operator's cost out of the total cost of the query, as estimated by the optimizer. I'll explain what's behind the query's cost value shortly. You want to keep an eye
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especially on operators that involve high-percentage values, and focus your tuning efforts on those operators. When you place your mouse pointer over an operator, you will get a yellow information box, which I will describe shortly. One of the measures you will find there is called Estimated Subtree Cost . This value represents the cumulative estimated cost of the subtree, starting with the current operator (all operators in all branches leading to the current operator). The subtree cost associated with the root operator (topmost, leftmost) represents the estimated cost of the whole query, as shown in Figure 3-12 .
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Figure 3-12. Subtree cost
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The query cost value is generated by formulas that, loosely speaking, aim at reflecting the number of seconds it would take the query to run on a test machine that SQL Server's developers used in their labs. For example, our CUBE query's estimated subtree cost is a little under 5meaning that the formulas estimate that it would roughly take the query close to 5 seconds to run on Microsoft's test machine. Of course, that's an estimate. There are so many factors involved in the costing algorithms that even on Microsoft's original test machine you would see large variations of the actual run time of a query from its estimated cost value. Additionally, in the system you're running, your hardware and database layouts can vary significantly from the system Microsoft used for calibration. Therefore, you shouldn't expect a direct correlation between a query's subtree cost and its actual run time. Another nice feature of the graphical execution plans is that you can easily compare the costs of multiple queries. You might want to compare the costs of different queries that produce the same result, or in some cases even queries that do slightly different things. For example, suppose you want to compare the cost of our query using the CUBE option with the same query using the ROLLUP option: SELECT custid, empid, shipperid, COUNT(*) AS numorders FROM dbo.Orders WHERE orderdate >= '20060201' AND orderdate < '20060301' GROUP BY custid, empid, shipperid WITH CUBE; SELECT custid, empid, shipperid, COUNT(*) AS numorders
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FROM dbo.Orders WHERE orderdate >= '20060201' AND orderdate < '20060301' GROUP BY custid, empid, shipperid WITH ROLLUP;
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You highlight the queries that you want to compare and request a graphical execution plan (estimated or actual, as needed). In our case, you will get the plans shown in Figure 3-13 .
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