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If your business intelligence tool is able to block misuse of a semi-additive fact, you will face a different problem. There will be situations where you actually want to sum the fact in question across the problem dimension. This does not occur often, but when it does the tool will most likely prevent the activity. This kind of activity occurs when the report will use the result to compute a period average. For example, assume you have a fact table that is a periodic snapshot of inventory levels by day. You wish to find the average daily inventory level of a product for January. To do this, you must first sum the daily inventory levels for the month. After the query returns this result, you will divide by the number of days in the period. (As you may recall from 11, you must do this yourself; the SQL average() function computes the sum of daily inventory levels and divides by the number of rows, rather than the number of days in the period.) If your BI tool is configured to prevent novices from summing the semi-additive fact across days, this will not be possible. The first step in producing the period average will be blocked. The alternative, once again, is to provide multiple semantic layers: one for general users, which enforces a ban on summing the semi-additive fact across the forbidden dimension, and one for power-users who know what they are doing. Alternatively, those reports that require the special calculation can be coded by hand. In some cases, it may be possible to make use of the business intelligence tool to compute period averages. This often requires some SQL trickery, since different periods tend to include a different number of days, but it can sometimes be accomplished.

Although no single authoritative source exists for all possible Registry keys and settings, documentation is available from multiple sources. If you re looking for Registry settings specific to a certain application, you need to contact the program s vendor.

The ANSI/ISO SQL standard defines a SQL transaction model and the roles of the COMMIT and ROLLBACK statements. Most, but not all, commercial SQL products use this transaction model, which is based on the transaction support in the early releases of DB2. The standard specifies that a SQL transaction automatically begins with the first SQL statement executed by a user or a program. The transaction continues through subsequent SQL statements until it ends in one of four ways: A COMMIT statement ends the transaction successfully, making its database changes permanent. A new transaction begins immediately after the COMMIT statement. A ROLLBACK statement aborts the transaction, backing out its database changes. A new transaction begins immediately after the ROLLBACK statement. Successful program termination (for programmatic SQL) also ends the transaction successfully, just as if a COMMIT statement had been executed. Because the program is finished, there is no new transaction to begin. Abnormal program termination (for programmatic SQL) also aborts the transaction, just as if a ROLLBACK statement had been executed. Because the program is finished, there is no new transaction to begin.

Sometimes, conflicting business requirements arise in the handling of changed data. One set of users requires a type 1 response, while another set requires a type 2 response. In this situation, you can employ a hybrid response that provides both type 1 and type 2 functionality. A much less common hybrid combines types 1, 2, and 3.

The System Policy Editor tool provides a graphical interface for setting various Registry options. Policy templates are special text files that specify the options that can be set. Figure 3-9 illustrates how these pieces fit together. A policy template lists Registry settings, along with options for that setting. This information is used by System Policy Editor to provide a much more user-friendly prompt that describes its effects.

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Systems analysts develop a natural suspicion of situations where requirements seem cut and dried. When a user says, We always do it this way, the requirement sounds too simple to be true. A seasoned analyst half expects the user to continue, except when we do it that way. Conflicting requirements like this can occur when trying to determine whether a source change should trigger a type 1 response or type 2. Sometimes, you get requirements for both.

Figure 3-9.