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SQL: A Beginner s Guide
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COMPACT_DISC_INVENTORY COMPACT_DISC_ID: CD_TITLE: INT VARCHAR(60) 99301 99302 99303 99304 99305 99306 99307 99308 99310 Famous Blue Raincoat Blue Court and Spark Past Light Kojiki That Christmas Feeling Patsy Cline: 12 Greatest Hits COPYRIGHT: LABEL_ID: DISC_ID: INT INT INT 1991 1971 1974 1983 1990 1993 1988 5422 5402 5270 5412 5409 5403 5403 5312 5270 1299 1232 1287 1292 1255 1216 1210 1276 1266 IN_STOCK: INT 6 26 18 2 5 3 25 22 8
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COMPACT_DISCS_IN_STOCK COMPACT_DISC Famous Blue Raincoat Blue Court and Spark Past Light Kojiki That Christmas Feeling Patsy Cline: 12 Greatest Hits COPYRIGHT IN_STOCK 1991 1971 1974 1983 1990 1993 1988 6 26 18 2 5 3 25 22 8
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The COMPACT_DISCS_IN_STOCK view, based on the COMPACT_DISC_ INVENTORY table
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Suppose you have users who want to be able to see the names of the CD and the publisher, but who are not interested in the COMPACT_DISC_ID or LABEL_ID values. And they certainly aren t interested in having to look in two different locations to compare LABEL_ID values in order to match up CDs with company names. One solution is to create a view that matches up this information for them, while at the same time displaying only the
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CDS_IN_STOCK_1990S COMPACT_DISC Famous Blue Raincoat Kojiki That Christmas Feeling Carreras Domingo Pavarotti in Concert Henryk G recki: Symphony No. 3 COPYRIGHT IN_STOCK 1991 1990 1993 1990 1992 6 5 3 22 8
Figure 5-2 The CDS_IN_STOCK_1990S view, based on the COMPACT_DISC_INVENTORY table
CD_INVENTORY COMPACT_DISK_ID: CD_TITLE: INT VARCHAR(60) 11001 11002 11003 11004 11005 11006 Famous Blue Raincoat Blue Past Light Kojiki That Christmas Feeling Patsy Cline: 12 Greatest Hits LABEL_ID: INT 5422 5402 5412 5409 5403 5403 LABELS LABEL_ID: INT 5403 5402 5409 5412 5422 COMPANY_NAME: VARCHAR(60) MCA Records Reprise Records Geffen Windham Hill Records Private Music
COMPACT_DISC_PUBLISHERS COMPACT_DISC Famous Blue Raincoat Blue Past Light Kojiki That Christmas Feeling Patsy Cline: 12 Greatest Hits PUBLISHER Private Music Reprise Records Windham Hill Records Geffen MCA Records MCA Records
Figure 5-3
The COMPACT_DISC_PUBLISHERS view, based on the LABELS and CD_INVENTORY tables
SQL: A Beginner s Guide
information that is useful to them. In the case of the CD_INVENTORY and LABELS table, you can create a view (named COMPACT_DISC_PUBLISHERS in Figure 5-3) that bridges (joins) this data for the users, while hiding the underlying structure and extraneous data. A view of this sort is possible by taking advantage of the relationships between tables. In the case of the CD_INVENTORY and LABELS tables, a foreign key has been defined on the LABEL_ID column of the CD_INVENTORY table that references the LABEL_ID column of the LABELS table. The query contained in the COMPACT_DISC_PUBLISHERS view definition matches the values in the LABEL_ID column of the CD_INVENTORY table to the values in the LABEL_ID column of the LABELS table. For every match that is found, a row is returned. For example, the Famous Blue Raincoat row includes a LABEL_ID value of 5422. In the LABELS table, you can see that this value matches the Private Music row. As a result, the view contains a row with the Famous Blue Raincoat value and the Private Music value.
NOTE
You don t necessarily have to use a foreign key relationship to join tables. Any two columns from different tables that store the same information can be used. This might mean using all the columns in a foreign key (if the foreign key includes multiple columns), using only one of the columns, or not using a foreign key at all. I discuss joining multiple tables in 11.
In addition to joining information from different tables, you can also use views to modify the data that is pulled from a table column and presented in the view column. This allows you to take such actions as performing calculations, finding averages, determining minimum and maximum values, and completing countless other operations. You can then take the results of these operations and include them in a column within the view. In Figure 5-4, for example, the CD_DISCOUNTS view deducts a 10 percent discount from the retail price and presents the result in the DISCOUNT_PRICE column. The CD_DISCOUNTS view includes three columns. The COMPACT_DISC column pulls data directly from the CD_TITLE column. The RETAIL_PRICE and DISCOUNT_ PRICE columns in the view both pull their data from the RETAIL_PRICE column in the INVENTORY table. The RETAIL_PRICE column in the view copies the values just as they are. However, for the DISCOUNT_PRICE column, the values pulled from the RETAIL_ PRICE column in the INVENTORY table are multiplied by 0.9. As you can see, you can specify many types of operations in a view and then simply invoke the view when you need the information. Most of what can be included in a regular query can be included in a view. In fact, it is the query, or query expression, that forms the nucleus of the view. However, before we look at query expressions, I want to first discuss the syntax used for creating views.
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