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Prints a message and potentially causes a core dump via the standard Linux abort(3) function. Returns the absolute value of A. Returns the ASCII character corresponding to the code specified by I. Returns the arc-cosine (inverse cosine) of X in radians.

Figure 28-9. Actual execution plan graphical output This time you ll see three operations in the execution plan output. With the graphical execution plan output, you read the icons from right-to-left, and top-to-bottom. You ll see that with the addition of the WHERE clause s CustomerID search condition in the query, the data retrieval operation changed from a Clustered Index Scan to a Clustered Index Seek operation. A scan retrieves all rows from a heap or index. A seek operation is more selective, retrieving specific rows from an index. Also, notice that the cost of this operation was 32%. The remaining cost percentage of the query was due to the Sort operator (at 68% cost), which appeared in the execution plan results because of the addition of our query s ORDER BY clause. If you have multiple queries in a batch, for example when executing a stored procedure, you can use the graphical output to pinpoint which batch of the group has the highest cost %. For example, in this scenario you are going to execute the sp_help stored procedure with the Include Actual Execution Plan still enabled: EXEC sp_help This returns two result sets (abridged): Name vAdditionalContactInfo vEmployee vEmployeeDepartment vEmployeeDepartmentHistory ... Owner dbo dbo dbo dbo Object_type view view view view

Abs(A) AChar(I)

User_type Storage_type Length Prec Scale Nullable Default_name Rule_name Collation AccountNumber nvarchar 30 15 NULL yes none none SQL_Latin1 General_CP1 _CI_AS ...

Another way to correct contrast problems in an image is to enhance the photo using the level command-line option. This option lets you specify the black point (the color that is considered black in the image) that you d like in the output image. You can specify this as an absolute value ranging from zero to the maximum RGB value possible in the image, but in this example I ll specify this as a percentage, because this is a more generically useful technique. To specify a black point of 20 percent of the maximum possible RGB value, use a command like this: convert -level 20% input.jpg output.jpg In the spirit of the examples from 5, Figure 6-25 shows a montage of some examples of various values for the black point.

A: INTEGER or REAL I: CHARACTER*1

Because there are two queries, you ll also see two actual execution plans (See Figure 28-10).

ACos(X)

Figure 28-10. Actual execution plan of sp_help The results of this stored procedure show two different execution plan panes within the stored procedure, with each pane showing the various operations used to generate the result sets. You can see in the header of the first query that the query cost is 93% (see Figure 28-11) versus the second query s 7% cost (see Figure 28-12) as a percentage of the whole stored procedure execution:

So, if your job was to troubleshoot the performance of a stored procedure, your first step would be to identify the batch in the procedure with the highest cost. After identifying the highest cost batch, you should then focus in on the highest cost operations within that batch. For example, within the sp_help system-stored procedure, Query 1 consumed 93% of the total cost. Looking within Query 1 s operators, you can then look for the higher percentage operations. For example in Figure 28-13, you can see that the Hash Match Inner Join operator has a cost of 36%, while the two Clustered Index Scan operations take 16% for one operation and 26% for another.

Table 3-1. Intrinsic Functions and Extensions in gfortran (Continued)

Figure 28-13. Cost relative to Batch Query 2 To get more information about an individual operation, you can hover your mouse pointer over it. This returns a ToolTip window which shows information about the specific operation, including a description of what each operator actually does, the number of rows impacted, and more (see Figure 28-14).

AdjustL(STR) AdjustR(STR) Aimag(Z)