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n important component of any relational database is the relationship that can exist between any two tables. This relationship allows you to tie data in one table to data in another table. These sorts of relationships are particularly useful when you want to query related data from more than one table and you want to retrieve that data in a meaningful way so that the relationships between the tables are, for all practical purposes, invisible. One method that SQL:2006 supports for querying data in this manner is to join the tables in one statement. A join is an operation that matches rows in one table with rows in another so that columns from both tables may be placed side by side in the query results as if they all came from a single table. SQL defines several types of join operations. The type you can use in any given situation depends on your SQL implementation (with regard to statements supported and how performance might be impacted), which data you want returned, and how the tables have been defined. In this chapter, I discuss a number of operations that combine data from multiple tables, including joins and unions, and provide details about how they re implemented and the results you can expect when you use them.
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One of the simplest types of joins to implement is the comma-separated join. In this type of operation, you re required only to supply a list of tables (separated by commas) in the FROM clause of the SELECT statement. You can, of course, qualify the join in the WHERE clause which you would want to do to obtain meaningful data from the tables but you re not required to do so. However, before I discuss the WHERE clause, let s first take a look at the comma-separated join at its most basic. Suppose you want to display data from the CD_INVENTORY table and the PERFORMERS table, shown in Figure 11-1. (The figure also includes the PERF_TYPE table, which we ll be using in the Creating Joins with More than Two Tables section.) You can view the data in the CD_INVENTORY and PERFORMERS tables by querying each table separately, or you can join the tables in one statement. To join the two tables, you can create a SELECT statement as simple as the following one:
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SELECT * FROM CD_INVENTORY, PERFORMERS;
11:
Accessing Multiple Tables
CD_INVENTORY CD_NAME: VARCHAR(60) Famous Blue Raincoat Blue Court and Spark Past Light Fundamental Blues on the Bayou Longing in Their Hearts Luck of the Draw Deuces Wild Nick of Time Both Sides Now PERF_ID: IN_STOCK: INT INT 102 101 101 105 104 103 104 104 103 104 101 12 24 17 9 22 19 18 25 17 11 13
PERFORMERS PERF_ID: PERF_NAME: INT VARCHAR(60) 101 102 103 104 105 106 107 108 109 Joni Mitchell Jennifer Warnes B.B. King Bonnie Raitt TYPE_ID: INT 10 12 11 10
PERF_TYPE TYPE_ID: TYPE_NAME: INT CHAR(20) 10 11 12 13 14 15 16 17 18 Popular Blues Folk Rock Classical New Age Classic Pop Country Soundtrack
William Ackerman 15 Bing Crosby Patsy Cline John Barry Leonard Cohen 16 17 18 12
Figure 11-1
Joining the CD_INVENTORY, PERFORMERS, and PERF_TYPE tables
The query produces what is known as a Cartesian product table (named after French mathematician and philosopher Ren Descartes), which is a list of each row in one table joined together with each row in the other table, as shown (in part) in the following query results:
CD_NAME ----------------------Famous Blue Raincoat Blue Court and Spark Past Light Fundamental Blues on the Bayou Longing in Their Hearts Luck of the Draw Deuces Wild Nick of Time Both Sides Now Famous Blue Raincoat Blue Court and Spark Past Light PERF_ID ------102 101 101 105 104 103 104 104 103 104 101 102 101 101 105 IN_STOCK -------12 24 17 9 22 19 18 25 17 11 13 12 24 17 9 PERF_ID ------102 102 102 102 102 102 102 102 102 102 102 101 101 101 101 PERF_NAME --------------Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Jennifer Warnes Joni Mitchell Joni Mitchell Joni Mitchell Joni Mitchell TYPE_ID ------12 12 12 12 12 12 12 12 12 12 12 10 10 10 10
Actually, the preceding SELECT statement would return far more rows than are shown here. These results represent only a partial list. Because the CD_INVENTORY table contains 11 rows
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