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A border has been added to these images for clarity. You can see from these examples that a white point higher than the black point produces a much nicer result. Finally, you can also specify a gamma correction value like this: convert -level 20%,50%,1.0 input.jpg output.jpg where the default is 1.0, which is what is specified in this example. Gamma correction is a fairly technical field that is outside the scope of this book. Another way of tweaking the way an image looks is to modify the brightness, color saturation, and hue through modulation. You do this with ImageMagick with the modulate command. The following command line manipulates the brightness of an image: convert -modulate 80% input.jpg output.jpg This changes the brightness to 80 percent of the current brightness of the image. Figure 6-27 shows a montage of some brightness levels as examples.

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Logical operators describe the conceptual operation SQL Server must perform in the query execution. Physical operators are the actual implementation of that logical operation. For example a logical operation in a query, INNER JOIN, could be translated into the physical operation of a Nested Loop in the actual query execution.

All(MASK,DIM)

The SET SHOWPLAN_TEXT command returns the data in a single column, with multiple rows for each operation. Introduced in SQL Server 2005, you can also return a query execution plan in XML format using the SET SHOWPLAN_XML command. The syntax for each of these commands is very similar: SET SHOWPLAN_ALL { ON | OFF } SET SHOWPLAN_TEXT { ON | OFF}

MASK:LOGICAL; DIM: INTEGER (optional)

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Each command is enabled when set to ON, and disabled when set to OFF. This recipe s example demonstrates returning the estimated query execution plan of a query in the AdventureWorks database using SET SHOWPLAN_TEXT and then SET SHOWPLAN_XML (SET SHOWPLAN_ALL is not demonstrated in this book because it returns seventeen columns and multiple rows which are not easily presented in print): SET SHOWPLAN_TEXT ON GO SELECT p.Name, p.ProductNumber, r.ReviewerName FROM Production.Product p INNER JOIN Production.ProductReview r ON p.ProductID = r.ProductID WHERE r.Rating > 2 GO SET SHOWPLAN_TEXT OFF GO This returns the following estimated query execution plan output: StmtText ---------------------------------------------------------------SELECT p.Name, p.ProductNumber, r.ReviewerName FROM Production.Product p INNER JOIN Production.ProductReview r ON p.ProductID = r.ProductID WHERE r.Rating > 2 (1 row(s) affected) StmtText ----------------------------------------------|--Nested Loops(Inner Join, OUTER REFERENCES:([r].[ProductID])) |--Clustered Index Scan(OBJECT:([AdventureWorks].[Production].[ProductReview].[PK_ProductReview_Product ReviewID] AS [r]), WHERE:([AdventureWorks].[Production].[ProductReview].[Rating] as [r].[Rating]>(2))) |--Clustered Index Seek(OBJECT:([AdventureWorks].[Production].[Product].[PK_Product_ProductID] AS [p]), SEEK:([p].[ProductID]=[AdventureWorks].[Production].[ProductReview].[ProductID] as [r].[ProductID]) ORDERED FORWARD) (3 row(s) affected) The next example returns estimated query plan results in XML format: SET SHOWPLAN_XML ON GO SELECT p.Name, p.ProductNumber, r.ReviewerName FROM Production.Product p INNER JOIN Production.ProductReview r ON p.ProductID = r.ProductID WHERE r.Rating > 2 GO

Allocated(X) Anint(X[,KIND])

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SET SHOWPLAN_XML OFF GO This returns the following (this is an abridged snippet, because the actual output is more than a page long): <ShowPlanXML xmlns="http://schemas.microsoft.com/sqlserver/2004/07/showplan" Version="0.5" Build="9.00.1187.07"> <BatchSequence> <Batch> <Statements> ... <RelOp NodeId="0" PhysicalOp="Nested Loops" LogicalOp="Inner Join" EstimateRows="3" EstimateIO="0" EstimateCPU="1.254e-005" AvgRowSize="105" EstimatedTotalSubtreeCost="0.00996111" Parallel="0" EstimateRebinds="0" EstimateRewinds="0"> <OutputList> <ColumnReference Database="[AdventureWorks]" Schema="[Production]" Table="[Product]" Alias="[p]" Column="Name" /> <ColumnReference Database="[AdventureWorks]" Schema="[Production]" Table="[Product]" Alias="[p]" Column="ProductNumber" /> <ColumnReference Database="[AdventureWorks]" Schema="[Production]" Table="[ProductReview]" Alias="[r]" Column="ReviewerName" /> </OutputList> ...

Let s select a brightness of 100 percent based on the images in Figure 6-27 and then modify the color saturation of the image. You do this by specifying a second part to the argument of the modulate command-line option, like this: convert -modulate 100%,80% input.jpg output.jpg Figure 6-28 shows some various values for the color saturation.

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