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Once again, you might be tempted to avoid the ripple Suppose, for example, that a company at the bottom of a hierarchy, Company H, is sold It might appear that this company can be assigned a new key Rows in the bridge table will still associate the old version of the company with the hierarchy but not the new version Figure 10-17 illustrates this state of affairs graphically While all this is true, remember that looking down and looking up require being able to identify a point in the hierarchy to start from Since this will be a natural key, the solution in Figure 10-17 is not sufficient Looking up from Company H, for example, will identify two bottom-level rows: H and H-1 The bridge table still contains rows that associate H with F, E, and A, and these companies are still generating transactions in the fact table.

q In RequiresNew [or @TransactionAttribute(REQUIRES_NEW)

These orders will be picked up by the query, even if they took place after the change The same would happen A in a looking-down configuration The user cannot be expected to specify a company by its surrogate key, avoiding H but selecting H-1, so an alternative solution is required B E Future transactions with F, E, and A can be disassociated with any version of Company H by following the standard process of putting all C D F members of the hierarchy through a type 2 change, as described earlier New rows are added to the bridge table to reflect the post-change state of affairs In this case, the bridge table will reflect three G H H-1 hierarchies, as shown in Figure 10-18.

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annotation in EJB 3.0] transactional behavior, a new transaction is always started when the bean method is called. If a transaction already exists, that transaction is suspended until the new transaction completes.

One is the original hierarchy, one is a new hierarchy that does Company H not include any incarnation of Company H, and the Figure 10-17 A relationship change last is the new hierarchy that Company H has joined..

q In Never [or @TransactionAttribute(NEVER) annotation in EJB 3.0]

You may notice that this fact table does not contain any facts That is okay; it is still useful For example, it can be used to count the number of policies in effect on a particular date with married versus single policy holders Fact tables like this are known as factless fact tables, and 12 discusses them in detail The dates associated with each row merit some additional scrutiny As noted, the fact table includes a day_key_effective, indicating when the change went into effect, as well as a day_key_expired, indicating when the change was superseded by a new version It is useful to avoid overlapping dates, in order to avoid any confusion when building queries For each row in the fact table, the effective and expiration dates are inclusive If a policy changes today, today s date is the effective date for the new version of the policy.

Certain SQL Server features cannot be implemented through Transact-SQL statements. The designers of SQL Server have developed a way to use the functionality encapsulated in special DLL libraries written in languages such as C or C++. Extended stored procedures are actually these C functions encapsulated in DLL files. They have a wrapper stored in the master database that uses the prefix xp_. Using this wrapper, you can access them just as you would any other stored procedure.

Given a Requirement Specification Detailing Security and Flexibility Needs, Identify Architectures That Would Fulf ill Those Requirements

Yesterday s date is the expiration date for the previous version The pair of dates can be used to determine the policy s status at any point in time Add one filter looking for an effective date that is before or equal to the date in question, and another for an expiration date that is greater than or equal to the date in question The current version of a policy has not expired, and it has no expiration date Instead of recording a NULL key, it refers to a special row in the day dimension This row typically contains the largest date value supported by the relational database management system (RDBMS), such as 12/31/9999 Described in 6, this technique avoids the need to test for null values when building queries When the row does expire, the date will be replaced with the actual expiration date.

The following is a list of some of the considerations when dealing with questions for the preceding objective:

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