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The natural join automatically matches rows for those columns with the same name. You do not have to specify any sort of equi-join condition for natural joins. The SQL implementation determines which columns have the same names and then tries to form a match. The drawback to this is that you cannot specify which columns are matched up, although you can specify which columns are included in the query results. In the following example, a natural join is used to join the TITLES_IN_STOCK table to the TITLE_COSTS table:

Low $13,234 3,455 203 105 1,276 1,204 0 1,903 2,894 3,484 $13,362

SELECT CD_TITLE, CD_TYPE, c.RETAIL FROM TITLES_IN_STOCK s NATURAL JOIN TITLE_COSTS c WHERE s.INVENTORY > 15;

TITLE_COSTS CD_TITLE: VARCHAR(60) CD_TYPE: CHAR(20) WHOLESALE: NUMERIC(5,2) 8.00 7.50 7.95 6.00 8.25 7.25 7.50 7.45 6.95 RETAIL: NUMERIC(5,2) 16.99 15.99 15.99 14.99 16.99 15.99 15.99 14.99 14.99

each die. (Remember that each reference to Rnd will return a different random value.) The strategy fits very naturally into the Visual Basic function procedure ThrowDice presented below.

Famous Blue Raincoat Folk Blue Past Light Blues on the Bayou Luck of the Draw Deuces Wild Nick of Time Both Sides Now Popular New Age Blues Popular Blues Popular Popular

Famous Blue Raincoat Folk Blue Court and Spark Past Light Fundamental Blues on the Bayou Popular Popular New Age Popular Blues

High $217,799 171,562 5,290 22,614 32,173 15,320 121,631 89,602 81,247 95,718 $1,051,450

Figure 11-3

11:

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In this statement, the tables are joined through the CD_TITLE and CD_TYPE columns. Notice that neither column name is qualified qualified names are not permitted in natural joins. If either of these column names had been included in the WHERE clause, they still would not be qualified. When you execute this statement, you receive the following query results:

Public Function ThrowDice() As Integer Dim d1 As Integer, d2 As Integer d1 = 1 + Int(6 * Rnd) d2 = 1 + Int(6 * Rnd) ThrowDice = d1 + d2 End Function first die second die

CD_TITLE -------------------Blues on the Bayou Deuces Wild Blue CD_TYPE ------Blues Blues Popular RETAIL -----15.99 14.99 15.99

FIGURE 10-2.

As you can see, only three rows are returned. These are the rows in which the CD_ TITLE values in both tables are equal and the CD_TYPE values are equal. In addition, the INVENTORY values are greater than 15.

Although natural joins can be handy for simple join operations, you might find that you do not always want to include every matching column as part of the join condition. The way around this is to use a named column join, which allows you to specify which matching columns to include. For example, suppose you want to include only the CD_TITLE in the join condition. You can modify the previous example as follows:

SELECT CD_TITLE, s.CD_TYPE, c.RETAIL FROM TITLES_IN_STOCK s JOIN TITLE_COSTS c USING (CD_TITLE) WHERE s.Inventory > 15;

In this statement, I ve removed the NATURAL keyword and added a USING clause, which identifies the matching columns. Notice that the CD_TYPE column name has now been qualified, but the CD_TITLE column has not. Only the columns identified in the USING clause are not qualified. This statement returns the same results as the preceding example, although this does not necessarily have to be the case, depending on the data in the tables. If, however, you include both matching columns in the USING clause, you would definitely see the same results as you saw in the natural join. By identifying all matching columns in the USING clause, you are performing the same function as a natural join.

This function will return a randomly generated integer quantity whose value varies between 2 and 12 each time it is accessed. (Note that the sum of the two random integers will not be uniformly distributed, even though the values assigned to d1 and d2 are.) In order to incorporate this function into an interactive game, we will utilize two different forms one that shows the cumulative number of wins and losses and initiates a new game or terminates the computation, and a second form that shows the history of each individual game (see Fig. 7.18. The preliminary control layouts are shown in Figs. 7.18(a) and 7.18(b).

Summary of key measures (in millions).

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