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When you use -c, the output is a link-ready object file, which has an .o filename extension. For each input file, GCC compilers generate a corresponding output file. Likewise, if you specify -E, the resulting output will be the preprocessed source code, which is sent to standard output. (GCC s Java compiler, which does not perform preprocessing since the concept is irrelevant in Java, generates no output at this point.) If you want to save the preprocessed output, you should redirect it to a file, either with command-line redirection or by using the -o option. If you use the -S option, each input

The next query moves the department values into columns, along with a count of employees by shift: SELECT ShiftName, Production, Engineering, Marketing

file results in an output file of assembly code with an .s extension. The -o file option enables you to specify the output filename, overriding the default output filename conventions. Compiling a single source file using a GCC compiler is simple: just invoke the appropriate compiler, specifying the name of the source file as the argument, as in the following example of using the GCC C compiler, gcc, with a source file named myprog.c: $ gcc myprog.c $ ls -l -rwxr-xr-x -rw-r--r-1 wvh 1 wvh users users 13644 Oct 220 Oct 5 16:17 a.out 5 16:17 myprog.c

FROM (SELECT s.Name ShiftName, h.EmployeeID, d.Name DepartmentName FROM HumanResources.EmployeeDepartmentHistory h INNER JOIN HumanResources.Department d ON h.DepartmentID = d.DepartmentID INNER JOIN HumanResources.Shift s ON h.ShiftID = s.ShiftID WHERE EndDate IS NULL AND d.Name IN ('Production', 'Engineering', 'Marketing')) AS a PIVOT ( COUNT(EmployeeID) FOR DepartmentName IN ([Production], [Engineering], [Marketing])) AS b ORDER BY ShiftName This returns: ShiftName Production Engineering Marketing -------------------------------------------------- ----------- ----------- --------Day 79 6 9 Evening 54 0 0 Night 46 0 0 (3 row(s) affected)

The result of the PIVOT query returned employee counts by shift and department. The query began by naming the fields to return:

The result on Linux and Unix systems is an executable file in the current directory named a.out, which you execute by typing ./a.out in the directory containing the file. The name a.out is a historical artifact dating from C s earliest days. It stands for assembler output because, as you might expect, the first C-based executables were the output of assemblers. On Cygwin systems, you will wind up with a file named .a.exe that you can execute by typing either ./a or ./a.exe in the directory containing the file. To define the name of the output file that a GCC compiler uses, use the -o option, as illustrated in the following example: $ gcc myprog.c -o runme $ ls -l -rw-r--r--rwxr-xr-x 1 wvh 1 wvh users users 220 Oct 13644 Oct 5 16:17 myprog.c 5 16:28 runme

In this chapter, you learned that it s relatively trivial to create good-looking, dynamic graphs with ImageMagick in PHP. This chapter (and the previous three) covered four common programming problems with ImageMagick in four common languages. The next chapter of the book will show where to get more support for ImageMagick and cover how to become an active member of the ImageMagick community.

Notice that these fields were actually the converted rows, but turned into column names. The FROM clause referenced the subquery (the query used at the beginning of this example. The subquery was aliased with an arbitrary name of a : FROM (SELECT s.Name ShiftName, h.EmployeeID, d.Name DepartmentName FROM HumanResources.EmployeeDepartmentHistory h INNER JOIN HumanResources.Department d ON h.DepartmentID = d.DepartmentID INNER JOIN HumanResources.Shift s ON h.ShiftID = s.ShiftID WHERE EndDate IS NULL AND d.Name IN ('Production', 'Engineering', 'Marketing')) AS a Inside the parentheses, the query designated which columns would be aggregated (and how). In this case, the number of employees would be counted: PIVOT (COUNT(EmployeeID) After the aggregation section, the FOR statement determined which row values would be converted into columns. Unlike regular IN clauses, single quotes aren t used around each string character, instead using square brackets. DepartmentName was the data column where values are converted into pivoted columns: FOR DepartmentName IN ([Production], [Engineering], [Marketing]))