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We have already explained that the first of these event procedures causes the pop-up menu to appear in response to clicking the right mouse button. All of the components in this event procedure are reserved words with a predefined meaning, except for mnuColor, which is the name of the first menu item (see Fig. 5.18). The next four event procedures (RedColor, GreenColor, Blue Color, and ClearColor) assign the desired fill colors to the circle (Shape1.FillColor). Within these event procedures, the identifiers vbRed, vbGreen, vbBlue and vbMenuBar are predefined Visual Basic constants that represent the colors red, green, blue and medium gray, respectively. When the program is executed, the form originally appears as shown in Fig. 5.19.

Your SELECT statement should return nine rows that each include IN_STOCK values that have been multiplied by 2 and by 3.

10:

Measurements Employees Recognition Profitability Rate of Improvement Recommendations per Employee Total Spend/Sales Suppliers Defect Rate Operational Cycle Time Operational Sigma New Business/Total Sales Customer Satisfaction

Now let s make one more change to the WHERE clause. Suppose you want the IN_STOCK value to be less than 20 and greater than 5 or the IN_STOCK value to be less than 20 and the RETAIL_PRICE value to be less than 15. One way to do this is to place parentheses around the last two predicates:

SELECT * FROM INVENTORY WHERE IN_STOCK < 20 AND (IN_STOCK > 5 OR RETAIL_PRICE < 15.00);

The results you receive this time are slightly different because the Blue row no longer evaluates to true:

CHAP. 5]

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COMPACT_DISC_ID --------------99301 99303 99306 CD_TITLE ---------------------Famous Blue Raincoat Court and Spark That Christmas Feeling COPYRIGHT --------1991 1974 1993 RETAIL_PRICE -----------16.99 14.99 10.99 IN_STOCK -------6 18 3

By combining predicates together, you can create a variety of search conditions that allow you to return exactly the data you need. The key to writing effective search conditions is a thorough understanding of predicates and the operators used to form those predicates. 9 takes you through many of the operators you can use and the types of predicates you can create. With that information, you can create effective, concise search conditions.

Category Performance Significance Against Plans 15 60 15 50 80 20 10 80 5 5 5 5 10 10 60 60 80 80 90 80

The next clause in the SELECT statement is the GROUP BY clause. The GROUP BY clause has a function very different from the WHERE clause. As the name implies, the GROUP BY clause is used to group together types of information in order to summarize related data. The GROUP BY clause can be included in a SELECT statement whether or not the WHERE clause is used. As you saw in the Use a SELECT Statement to Retrieve Data section, the syntax for the GROUP BY clause, as it appears in the SELECT statement syntax, looks like the following: [ GROUP BY <grouping specification> ] However, the <grouping specification> placeholder can be broken down into smaller elements: <column name> [ { , <column name> } . . . ] | { ROLLUP | CUBE } ( <column name> [ { , <column name> } . . . ] ) In actuality, the <grouping specification> syntax, like some of the other syntax in this book, is even more complex than what I m presenting here; however, for the purposes of this chapter, this syntax will provide you with all the details you need to use the GROUP BY clause effectively. Now let s look at the syntax itself. The first line should be self-explanatory. You specify one or more column names that contain values that should be grouped together. This normally applies to columns that represent some sort of categories whose values

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