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The V$SQL_PLAN and V$SQL_PLAN_STATISTICS views are highly useful for tracking the efficiency of execution plans. You should be wary of quick changes in code to fix even the worst-performing query in the system. Let s say you create an extra index on a table or change the order of columns in a composite key to fix this problem query. How do you know these aren t going to impact other queries in the application adversely This happens more often than you think, and therefore you must do your due diligence to rule out unintended consequences of your fixes.

If you have identified bad SQL, Oracle Database 10g offers the new SQL Tuning Advisor. It has the following features: Advice on improving the execution plan Reasons for the SQL improvement recommendations Benefits you can expect by following the Advisor s advice Details of the commands to tune the misbehaving SQL statements

<Composite> <File file='spots.xml'/> <File file='dots.xml'/> </Composite> It may be useful to delay the loading of these files. One general way to do this is to add a Delay node to the Scene type: type Scene = | Ellipse | Rect | Composite | Delay of of of of RectangleF RectangleF Scene list Lazy<Scene>

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It is usual for the Advisor to take SQL statements from places such as these: New SQL statements. When working with a development database, this may be your best source of SQL statements. High-load SQL statements. SQL statements from the AWR. SQL statements from the database cursor cache. The Advisor can tune sets of SQL statements called SQL Tuning Sets (STSs). An STS is a set of SQL statements combined with execution information, which includes the average elapsed time. An STS has the advantage of capturing the information about a database s workload as well as allowing you to tune several large SQL statements at once.

As mentioned previously, the Optimizer will try to find the optimal execution plan for each statement you provide. However, this process happens under production conditions, so the Optimizer can only devote a short amount of time to working out a solution. The Optimizer uses heuristics to generate an estimate of the best solution. This is called the normal mode of the Optimizer.

You can then extend the extractScene function of Listing 9-1 with the following case to handle this node: let rec extractScene (node: XmlNode) = let attribs = node.Attributes let childNodes = node.ChildNodes match node.Name with | "Circle" -> ... | "File" -> let file = attribs.GetNamedItem("file").Value let scene = lazy (let d = XmlDocument() d.Load(file) extractScene(d :> XmlNode)) Scene.Delay scene Code that analyzes trees (for example, via pattern matching) must typically be adjusted to force the computation of delayed values. One way to handle this is to first call a function to eliminate immediately delayed values: let rec getScene scene = match scene with | Delay d -> getScene (d.Force()) | _ -> scene Here is the function flatten2 from the Processing Abstract Syntax Representations section, but redefined to first eliminate delayed nodes: let rec flattenAux scene acc = match getScene(scene) with | Composite scenes -> List.foldBack flattenAux scenes acc | Ellipse _ | Rect _ -> scene :: acc | Delay _ -> failwith "this lazy value should have been eliminated by getScene" let flatten2 scene = flattenAux scene [] It s generally advisable to have a single representation of laziness within a single syntax tree design. For example, the following abstract syntax design uses laziness in too many ways:

You can also run the Optimizer in tuning mode, which means that the Optimizer carries out indepth analysis to come up with ways to optimize execution plans. While in this mode, the Optimizer can take several minutes and produces recommendations instead of the best SQL execution plan. You, in turn, use these recommendations to optimize the SQL statements execution plans. You get the added advantage of advice that details the rationale behind the recommendations and what you will gain from implementing them. The Oracle Optimizer running in tuning mode is called the Automatic Tuning Optimizer (ATO). The ATO does the following tasks: Statistics analysis SQL profiling Access path analysis SQL structure analysis I describe each of these tasks in the following sections, along with the types of recommendations that the SQL Tuning Advisor makes.

Your Excel Table contains many years of data. When you tried to move the OrderID field to the Column Labels area of your pivot table, you got a warning message that said the field has more than 16,384 items and can t be placed in the column area (see Figure 8-5). This problem is based on the OrdersLimit.xlsx sample file.

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