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Another common use of views is to restrict a user s access to only certain columns of a table. For example, in the sample database, the order-processing department may need access to the employee number, name, and office assignment of each salesperson, because this information may be needed to process an order correctly. However, there is no need for the order-processing staff to see the salesperson s year-to-date sales or quota. This selective view of the SALESREPS table can be constructed with the following view: Create a view showing selected salesperson information.
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CREATE VIEW REPINFO AS SELECT EMPL_NUM, NAME, REP_OFFICE FROM SALESREPS;
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By giving the order-processing staff access to this view and denying access to the SALESREPS table itself, access to sensitive sales and quota data is effectively restricted. A view like the REPINFO view is often called a vertical view. As shown in Figure 14-4, a vertical view slices the source table vertically to create the view. Vertical views are commonly found where the data stored in a table is used by various users or groups of users. They provide a private virtual table for each user, composed only of the columns needed by that user. Here are some more examples of vertical views: De ne a view of the OFFICES table for the order-processing staff that includes the of ce s city, of ce number, and region.
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CREATE VIEW OFFICEINFO AS SELECT OFFICE, CITY, REGION FROM OFFICES;
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De ne a view of the CUSTOMERS table that includes only customer names and their assignment to salespeople.
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CREATE VIEW CUSTINFO AS SELECT COMPANY, CUST_REP FROM CUSTOMERS;
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In each of these examples, the view is derived from a single source table. The select list in the view definition determines which columns of the source table are visible in the view. Because these are vertical views, every row of the source table is represented in the view, and the view definition does not include a WHERE clause.
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Row/Column Subset Views
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When you define a view, SQL does not restrict you to purely horizontal or vertical slices of a table. In fact, the SQL does not include the notion of horizontal and vertical views.
Part IV:
Database Structure
REPINFO View
EMPL_NUM 105 109 102 106 104 101 110 108 103 107 NAME Bill Adams Mary Jones Sue Smith Sam Clark Bob Smith Dan Roberts Tom Snyder Larry Fitch Paul Cruz Nancy Angelli REP_OFFICE 13 11 21 11 12 12 NULL 21 12 22
SALESREPS Table
EMPL_NUM 105 109 102 106 104 101 110 108 103 107 NAME Bill Adams Mary Jones Sue Smith Sam Clark Bob Smith Dan Roberts Tom Snyder Larry Fitch Paul Cruz Nancy Angelli AGE 37 31 48 52 33 45 41 62 29 49 REP_OFFICE 13 11 21 11 12 12 NULL 21 12 22 TITLE Sales Rep Sales Rep Sales Rep VP Sales Sales Mgr Sales Rep Sales Rep Sales Mgr Sales Rep Sales Rep HIRE_DATE 2006-02-12 2007-10-12 2004-12-10 2006-06-14 2005-05-19 2004-10-20 2008-01-13 2007-10-12 2005-03-01 2006-11-14 MANAGER 104 106 108 NULL 106 104 101 106 104 108 QUOTA $350,000.00 $300,000.00 $350,000.00 $275,000.00 $200,000.00 $300,000.0 0 NULL $350,000,00 $275,000.00 $300,000.00 SALES $367,911.00 $392,725.00 $474,050.00 $299,912.00 $142,594.0 0 $305,673.0 0 $75,985.00 $361,865.00 $286,775.00 $186,042.00
FIGURE 14-4
A vertical view of the SALESREPS table
These concepts merely help you to visualize how the view presents the information from the source table. It s quite common to define a view that slices a source table in both the horizontal and vertical dimensions, as in this example: De ne a view that contains the customer number, company name, and credit limit of all customers assigned to Bill Adams (employee number 105).
CREATE VIEW SELECT FROM WHERE BILLCUST AS CUST_NUM, COMPANY, CREDIT_LIMIT CUSTOMERS CUST_REP = 105;
The data visible through this view is a row/column subset of the CUSTOMERS table. Only the columns explicitly named in the select list of the view and the rows that meet the search condition are visible through the view.
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