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Figure 5-11: The result set from Listing 5-9. Now you get into a very useful technique known as aliasing, which enables you to assign a pseudonym (literally, a false name ) to table and column names. Sometimes, aliasing is a simple convenience for making cryptic column names more readable in the client application (that is, ColdFusion), but at other times, aliasing becomes absolutely necessary for using a query s result set in the client application, as you see in Listings 5-10 and 5-11, and in s 9 and 11. Start with Listing 5-10, which assigns pseudonyms to the CompanyID, CompanyName, and ZipCode columns.

SELECT CompanyID AS CompNum, CompanyName AS Name, Address, City, State, ZipCode AS Zip FROM Company WHERE State = GA AND CompanyName LIKE A% ORDER BY ZipCode DESC

So that s it! Grab some tunes, slap em together, and put em out there! The world awaits your creation. Making mashups is a lot of fun, as you ve probably figured out by now. It s also maddeningly addictive, as thousands of mashup producers can attest. The mashup is arguably the most unoriginal genre ever, yet somehow it has seemed to produce some of the freshest sounds of this new century. Your new creations will add to this burgeoning movement, and perhaps the next masterpiece that s got the web buzzing will be yours. Good luck, and enjoy!

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After the result set from Listing 5-10 is returned to ColdFusion, the column names are no longer referred to by their original column names but rather by the pseudonyms assigned to them, as shown in Figure 5-12.

22.76 30.30 46.75 50.13 50.03 47.51 49.25 48.57

Figure 5-12: The result set from Listing 5-10. In other words, if you execute Listing 5-10 via a CFQUERY call that names the result OutputListing510, the CFOUTPUT that you use to display the result set looks something like that in Listing 5-11. Revisit 2 if you need a refresher on using CFQUERY.

<cfoutput query= OutputListing510 > <tr> <td>#CompNum#</td> <td>#Name#</td> <td>#Address#</td> <td>#City#</td> <td>#State#</td> <td>#Zip#</td> </tr> </cfoutput>

30.20 39.77 59.66 63.44 63.16 61.41 63.15 62.17

As we mentioned in the section SELECT Statements, you can alias table names, too. Notice how much easier Listing 5-2 is to read and write after you use pseudonyms, as shown in Listing 5-12.

ncluded on the CD-ROM are several software packages used throughout this book, including: Sony s ACID, music production software excellent for use in creating your own mashups. Provided are two distinct flavors:

SELECT c.CompanyID, c.CompanyName, e.Lastname, e.Firstname, e.Salary FROM Company AS c INNER JOIN Employee AS e ON c.CompanyID = e.CompanyID ORDER BY c.CompanyName, e.Lastname, e.Firstname

By the way, the use of AS is not absolutely necessary, and in fact, you most often do not see AS used in aliasing table names. There is no special reason for this convention; this seems to

32.8 42.8 63.9 66.5

be the most popular convention. Listing 5-13 shows the more common method for assigning aliases to table names.

SELECT c.CompanyID, c.CompanyName, e.Lastname, e.Firstname, e.Salary FROM Company c INNER JOIN Employee e ON c.CompanyID = e.CompanyID ORDER BY c.CompanyName, e.Lastname, e.Firstname

66.0 68.0 66.5

Listing 5-13 shows the way that you typically see table names aliased. As a side note, you don t need to use AS in aliasing column names either; eliminating them entirely is perfectly acceptable. The common practice, however, is to use AS in aliasing column names but not use AS in aliasing tables names. Go ahead and practice a good number of different SELECT statements on your own databases to become comfortable with them and make sure that you practice at least a few relational SELECT statements by using SQL-92 syntax and pseudonyms so that you are prepared for the more complicated SELECT statements that you encounter later on in your development career. After you re finished experimenting, and after you ve finished working through chapters 6 through 8, make sure that you thoroughly read 9 so that you can gain a full understanding of the intricacies of complicated SELECT statements that contain GROUP BY, HAVING, and DISTINCT clauses, aggregate functions, and relational joins. The following sections show you how to manipulate the data in your database by using

ACID XPress 5.0, Sony s free version of ACID with some limitations. A 30-day trial version of ACID Pro 6.0, fully functional with the exception of exporting to mp3 and other proprietary formats.

Data is inserted into tables by using INSERT statements. Listing 5-14 shows a typical INSERT statement

INSERT INTO Company ( CompanyName, Address, City,

349.81 198.30 38.68 50.10 73.50 77.81 77.26 76.35 78.14 76.84

Listing 5-14 (continued)

State, ZipCode ) VALUES ( Fast Like Bunny , 99 Mulberry Lane , Reston , VA , 20194 )

48.00 61.54 88.21 92.91 92.10 92.21 94.03 92.39

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