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If the primary key (OFFICE) of a row in the parent table (OFFICES) is modified, all of the current children of that row become orphans because their foreign keys no longer match a primary key value The referential integrity features of DB2 and the ANSI/ISO SQL standard handle each of these four situations The first problem (INSERT into the child table) is handled by checking the values of the foreign key columns before the INSERT statement is permitted If they don't match a primary key value, the INSERT statement is rejected with an error message In Figure 11-1 this means that before a new salesperson can be added to the SALESREPS table, the office to which the salesperson is assigned must already be in the OFFICES table As you can see, this restriction "makes sense" in the sample database.

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Performance and perception Do employees notice network access is slow during peak periods (such as in the morning, when many users are logging onto the system) It s likely that your business systems will have uneven loads throughout the day. When are certain systems most active Which systems must be available at all times By determining the answers to these questions, you ll be able to form a data protection plan that provides for minimal impact to end users.

Changes from the original query are highlighted in bold. No facts or dimension attributes have changed; only the names of tables and, in the case of month, the name of the surrogate key. TiP The facts and dimension attributes in an aggregate star conform to those in the base star. Rewriting a query to take advantage of the aggregate involves replacing table names and key columns.

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The second problem (UPDATE of the child table) is similarly handled by checking the updated foreign key value If there is no matching primary key value, the UPDATE statement is rejected with an error message In Figure 11-1 this means that before a salesperson can be reassigned to a different office, that office must already be in the OFFICES table Again, this restriction makes sense in the sample database The third problem (DELETE of a parent row) is more complex For example, suppose you closed the Los Angeles office and wanted to delete the corresponding row from the OFFICES table in Figure 11-1 What should happen to the two child rows in the SALESREPS table that represent the salespeople assigned to the Los Angeles office Depending on the situation, you might want to: Prevent the office from being deleted until the salespeople are reassigned.

Based on your answers to the preceding questions, you ll have a good idea of what needs to be protected and how it should be done. Now, let s use this information in the development of policies and practices.

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When aggregates are available, formulating a query requires choosing between the base star and the aggregate star. If there are multiple aggregates, there are still more options from which to choose. This may be an easy decision for a seasoned report developer to make, but it can be bewildering for a less experienced analyst or business user. Faced with a portfolio of aggregates, determination of the most appropriate schema for a query requires understanding what information is needed, identifying which stars can supply that information, and narrowing the pool down to the star with the smallest fact table. For example, Figure 15-2 illustrates a portfolio of aggregates that summarize the base order_facts star. A report is needed that shows sales by customer for the first quarter of 2009. Three stars can be used to answer this question: the base star, the month/salesperson/ customer aggregate, and the quarter/salesperson/customer aggregate. The latter is likely to have the least rows in its fact table and is, therefore, the best choice for this query. This selection process may be easy for developers who have been provided with basic schema documentation and some information about relative table sizes. For an end user, however, it may be difficult to choose. The situation is more complicated for ad hoc users, who may want to modify their query after seeing its results. Adding or removing dimensions from a query may change which star is able to answer most effectively, and may also alter which stars are able to answer at all. For example, the user may decide to take the Q1 2009 report of sales by product and break the

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