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

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The SALESREPS (child) table contains REP_OFFICE, a foreign key for the OFFICES (parent) table. This relationship is used to find the correct OFFICES row for each salesperson, so that the correct city and region can be included in the query results.

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 . . .

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Recall that different SQL tools format results in different ways, so your results may vary, particularly for the dollar amounts shown in the example. This query 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

FROM PRODUCTS WHERE MFR_ID = 'ACI' AVG(PRICE) ----------$804.29 Calculate the average size of an order placed by Acme Mfg. (customer number 2103). SELECT AVG(AMOUNT) FROM ORDERS WHERE CUST = 2103 AVG(AMOUNT) -----------$8,895.50

Multitable Queries (Joins)

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:

Figure 7-3.

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Here s another query involving the same two tables, but with the parent and child roles reversed, as shown in Figure 7-4. List the offices and the names and titles of their managers.

Multitable Queries (Joins)

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 the DBMS should execute the query. There is no mention of starting with orders or starting with customers. Instead, the query tells the DBMS what the query results should look like and leaves it up to the DBMS to decide how to generate them.

SELECT CITY, NAME, TITLE FROM OFFICES, SALESREPS WHERE MGR = EMPL_NUM CITY -----------Chicago Atlanta New York Denver Los Angeles NAME -----------Bob Smith Bill Adams Sam Clark Larry Fitch Larry Fitch TITLE ---------Sales Mgr Sales Rep VP Sales Sales Mgr Sales Mgr

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The most common multitable queries involve two tables that have a natural parent/child relationship. The query about orders and customers in the preceding section is an example of such a query. Each order (child) has an associated customer (parent), and each customer (parent) can have many associated orders (children). The pairs of rows that generate the query results are parent/child row combinations. You may recall from 4 that foreign keys and primary keys create the parent/ child relationship in a SQL database. The table containing the foreign key is the child in the relationship; the table with the primary key is the parent. To exercise the parent/child relationship in a query, you specify a search condition that compares the foreign key and the primary key. Here is another example of a query that exercises a parent/child relationship, shown in Figure 7-3. List each salesperson and the city and region where they work.

Figure 7-4.

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