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SELECT NVL(LATE_OR_LOSS_FEE, 0) AS LATE_OR_LOSS_FEE FROM MOVIE_RENTAL WHERE TRANSACTION_ID=9; LATE_OR_LOSS_FEE ---------------0 29.98 2 rows selected.

Figure 7-2.

Although simple, we see a number of emergent behaviors as a result of the simple interconnections of the above circuit. The first behavior that we see, is a light-seeking behavior. This means that our Photopopper will try to seek light and avoid shadow wherever possible. This behavior was exhibited in Grey Walter s turtle, an early robot which proved that a limited number of connections could give rise to more complex emerging behaviors. We can see the way the robot makes its way toward a light source in Figure 16-3. When we try and relate our mechanical robot beastie to the world of the animal kingdom, we can see that light is the food for our robot a natural animal instinct is to go where there is food in order to survive it is clear that this robot exhibits this behavior trait. Another behavior that our robot exhibits is obstacle avoidance behavior, where the robot tries as far as possible to avoid obstacles by using its whisker touch sensors (Figure 16-4). Again, we can relate this to the animal kingdom, where whiskered animals such as hamsters and cats sense obstructions with their sensitive whiskers and take evasive action to avoid those obstacles.

Simple Joins (Equi-Joins)

The process of forming pairs of rows by matching the contents of related columns is called joining the tables. The resulting table (containing data from both of the original tables) is called a join between the two tables. (A join based on an exact match between two columns is more precisely called an equi-join. Joins can also be based on other kinds of column comparisons, as described later in this chapter.) Joins are the foundation of multitable query processing in SQL. All of the data in a relational database is stored in its columns as explicit data values, so all possible relationships between tables can be formed by matching the contents of related columns. Joins thus provide a powerful facility for exercising the data relationships in a database. In fact, because relational databases do not contain pointers or other mechanisms for relating rows to one another, joins are the only mechanism for exercising cross-table data relationships. Because SQL handles multitable queries by matching columns, it should come as no surprise that the SELECT statement for a multitable query must contain a search

7:

Microsoft SQL Server:

Multitable Queries (Joins)

condition that specifies the column match. Here is the SELECT statement for the query that was performed manually in Figure 7-2: List all orders showing order number, amount, customer name, and the customer s credit limit.

SELECT ORDER_NUM, AMOUNT, COMPANY, CREDIT_LIMIT FROM ORDERS, CUSTOMERS WHERE CUST = CUST_NUM ORDER_NUM AMOUNT COMPANY CREDIT_LIMIT ---------- ----------- ------------------ ------------112989 $1,458.00 Jones Mfg. $65,000.00 112968 $3,978.00 First Corp. $65,000.00 112963 $3,276.00 Acme Mfg. $50,000.00 112987 $27,500.00 Acme Mfg. $50,000.00 112983 $702.00 Acme Mfg. $50,000.00 113027 $4,104.00 Acme Mfg. $50,000.00 112993 $1,896.00 Fred Lewis Corp. $65,000.00 113065 $2,130.00 Fred Lewis Corp. $65,000.00 113036 $22,500.00 Ace International $35,000.00 113034 $632.00 Ace International $35,000.00 113058 $1,480.00 Holm & Landis $55,000.00 113055 $150.00 Holm & Landis $55,000.00 113003 $5,625.00 Holm & Landis $55,000.00 . . . RETRIEVING DATA

This looks just like the queries from the previous chapter, with two new features. First, the FROM clause lists two tables instead of just one. Second, the search condition:

SELECT ISNULL(LATE_OR_LOSS_FEE, 0) AS LATE_OR_LOSS_FEE FROM MOVIE_RENTAL WHERE TRANSACTION_ID=9; LATE_OR_LOSS_FEE ---------------29.98 .00 (2 rows affected)

compares columns from two different tables. We call these two columns the matching columns for the two tables. Like all search conditions, this one restricts the rows that appear in the query results. Because this is a two-table query, the search condition restricts the pairs of rows that generate the query results. In fact, the search condition specifies the same matching columns you used in the paper-and-pencil query processing. It actually captures the spirit of the manual column matching very well, saying: Generate query results only for pairs of rows where the customer number (CUST) in the ORDERS table matches the customer number (CUST_NUM) in the CUSTOMERS table. Notice that the SELECT statement doesn t say anything about how SQL should execute the query. There is no mention of starting with orders or starting with