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A sliced fact table is exactly the same as the original star but only contains a subset of rows. Sliced fact tables are typically defined using a specific dimension attribute and may be useful in providing distributed applications, enforcing role-based security, or in reducing schema scope for use in an OLAP tool.

There may be a time when declarative authorization is not sufficient. For example, if a more fine-grained authorization model is required, the developer of a web component can use a combination of the getUserPrincipal() and isUserInRole()

methods that exist on the HttpServletRequest object, and the developer of an EJB component can use a combination of the getCallerPrincipal() and isCallerInRole() methods that exist on the EJBs context object, to carry out access control at the component level. This is known as programmatic authorization. The web or EJB component can use these methods to determine whether the caller is allowed to perform the functionality that has been called within the component.

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A sliced fact table is derived from a star by selecting all rows that refer to a common dimension value. The resulting star has the same attributes as the original but may be significantly smaller. Additional slices may be created for each possible value of the dimension attribute. For example, the familiar star at the top of Figure 14-3 tracks orders by day, product, salesperson, and region. One of the attributes of the salesperson dimension table is region. This dimension takes on values such as East, West, and so forth. Order_facts contains orders for all regions.

As mentioned, the web component developer will use getUserPrincipal() and isUserInRole() methods within a JSP or servlet to control access to the web resource s functionality. These methods typically require that the client also be authenticated, so it makes sense to use the technique in conjunction with declarative authorization. The following example shows the use of the programmatic authorization methods getUserPrincipal() and isUserInRole() in a JSP. The JSP is part of an application that also has some resources protected with declarative authorization. Here is example code for a JSP:

Original Schema All regions Derived Schema Region-specific stars DAY ORDER_ FACTS_EAST . . . order_dollars . . . Region = East DAY ORDER_ FACTS_WEST . . . order_dollars . . . Region = West CUSTOMER CUSTOMER

The TbDir2Vss.vbs tool can also be scheduled along with TbDbScript.vbs to script databases and put them in Visual SourceSafe.

<html> <head><title>Security Demo</title></head> <body bgcolor="#FFFFFF"> <head><title>Security Demo: programmatically protected page</title></head> <h2>Programmatically Protected Page</h2> <hr width="100%"> <% java.security.Principal principal = request.getUserPrincipal(); if (principal != null) { boolean inRole = request.isUserInRole("secure_role"); if (inRole) { if ("system".equals(principal.getName())) { out.write("<br>You are the correct user ("+principal.getName() +") and role, so access is granted!"); // This is where code for the protected // functionality would reside... } else { out.write("<br>You are NOT the correct user ("+principal.getName() +"), so access is denied!"); } } else { out.write("<br>You are NOT in the correct role, so access is denied!"); }

Regionally focused fact tables can be derived from order_facts. Each regionally focused star will contain all rows from the original fact table that are associated with a particular region. The lower part of Figure 14-3 shows sliced fact tables for the East and West regions. Although the diagram repeats each of the dimensions, it is not necessary to replicate these tables, unless the slicing is performed to support regionally distributed data. One set of unaltered dimension tables can be joined to the original order_facts table as well as each regional slice.

} else { out.write("<p>You are not authenticated, so access is denied!"); } %> <p><a href="../index.html">home</a> </body> </html>

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