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A record already exists for David Yu in the product_manager table since he managed other products as well, so nothing needs to happen here 3 Load base fact table Any new orders are added to the base fact table 4 Load aggregate fact table The new orders are added to the aggregate fact table, associated with the correct manager The problem here is that we are not finished Because of the change in product manager, some previous order summaries that are already in the aggregate fact table must be adjusted Some orders previously attributed to Richard Meyers are now attributed to David Yu If we have followed this four-step process, we might not have been aware of this by the time we reached step four, especially if the aggregates were to be sourced from the base tables.

For each parent/child relationship created by a foreign key in a database, the SQL2 standard allows you to specify an associated delete rule and an associated update rule. The delete rule tells the DBMS what to do when a user tries to delete a row of the parent table. These four delete rules can be specified: The RESTRICT delete rule prevents you from deleting a row from the parent table if the row has any children. A DELETE statement that attempts to delete such a parent row is rejected with an error message. Deletions from the parent table are thus restricted to rows without any children. Applied to Figure 11-1, this rule can be summarized as "You can't delete an office if any salespeople are assigned to it." The CASCADE delete rule tells the DBMS that when a parent row is deleted, all of its child rows should also automatically be deleted from the child table. For Figure 11-1, this rule can be summarized as "Deleting an office automatically deletes all the salespeople assigned to that office." The SET NULL delete rule tells the DBMS that when a parent row is deleted, the foreign key values in all of its child rows should automatically be set to NULL. Deletions from the parent table thus cause a "set to NULL" update on selected columns of the child table. For the tables in Figure 11-1, this rule can be summarized as "If an office is deleted, indicate that the current office assignment of its salespeople is unknown."

Users and systems administrators, even with the best of intentions, sometimes make minor syntactical and procedural mistakes. Thankfully, features such as the Windows Recycle Bin can save us from some errors. Those annoying dialog boxes that constantly ask whether you re sure you want to perform an operation can save you a lot of time in the long run. But, for the most part, you operate without a safety net when you work in a networked environment. Can accidents involving the loss of data be prevented In some cases, the answer might be No. Accidents will occur due to lack of communication, inadequate training, and even physical mistakes. (Ever dropped coffee on a keyboard or accidentally rebooted a server ) However, you can take many measures to diminish the likelihood of these problems occurring. Best practices, such as managing security permissions and educating users, easily qualify as the ounce of prevention that may prevent the need for a pound of cure. In later chapters, we ll look at several ways to protect against good people who make bad mistakes.

One way to avoid this breakdown is to note that a change occurred during step one Then, when loading the aggregate, we can fix things In this case, we might note that product A11 had its manager changed to David Yu When we get to step four, we can go back and look for orders of product A11 and add their totals to the summary row for David Yu We are still not done We also need to deduct these orders from whoever managed the product before David did This happens to be Richard Meyers, but we cannot tell that from looking at the base dimension table, since it was updated in step one! The moral of this story is simple: when an aggregate contains type 1 attributes, a type 1 change forces processing that requires access to the before and after values, and access to the granular data.