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The policy example only allows for one version of a policy on a given day. If it is necessary to track changes at a finer grain, this can be achieved by adding columns to capture the time of day at which the record became effective and expired: effective_time and expiration_time. Depending on the business case, these columns may represent hours (24 possible values), minutes (1,440 values), or seconds (8,640 possible values). Together with the effective_date and expiration_date, they allow for multiple versions within a given day. As with the day columns in the prior example, the time columns must allow for no overlap and leave no gaps. For policy changes recorded at the minute level, for example, if one row becomes effective at 12:48 PM, the prior row must expire at 12:47 PM.

Identify Scenarios That Are More Appropriate to Implementation Using Asynchronous Messaging, Rather Than Synchronous

With the time columns in place, it is possible to have multiple versions of a policy on a given day. This means that qualifying a query for a particular date may pick up multiple versions of the same policy. This is not desirable if, for example, you are counting the number of covered parties across all policies on a particular date. You must now supplement the date qualifications with time qualifications, as in:

Identify Scenarios That Are More Appropriate to Implementation Using Synchronous Messaging, Rather Than Asynchronous

WHERE 12/31/2006 >= effective_date AND 12/31/2006 <= expiration_date AND 24:00 >= effective_time AND 24:00 <= expiration_time

which a response to the message is required before continuing, for example, for transactions requiring credit card or user login authentication.

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The problem with identity values and triggers has been resolved in the proper manner with SQL Server 2000. The new Scope_Identity() function returns the last identity value generated in the current scope of the current process. The following example adds this function to the code executed earlier against the tempdb database:

You can add a last_change_of_day flag to simplify this kind of query. It will be set to Final for the last change to a given policy on a day. End-of-day status for a particular date can now be captured by using this SQL:

Identify Scenarios That Are Appropriate to Implementation Using Messaging, Enterprise JavaBeans Technology, or Both

stock prices to traders, instant messages, and in situations when integration of incompatible systems is necessary.

WHERE 12/31/2006 >= effective_date AND 12/31/2006 <= expiration_date AND last_change_of_day = "Final"

that require maintenance of distributed transactions and those that send an order to another system.

Construction of a time-stamped dimension places an extra burden on the developers of the process that loads and maintains the dimension table When a type 2 change occurs, it will be necessary to identify the prior row to update its expiration_date and most_recent_version columns Extract, transform, load (ETL) developers may also be charged with grouping a set of changes that occur on a single day into a single time-stamped dimension record This additional work is not trivial, but ETL developers will find benefits in other areas When loading transactions into a fact table, such as Figure 8-1 s policy_payment_facts, the ETL process must determine what foreign key to use for each dimension.

The following questions will help you measure your understanding of the material presented in this chapter. Read all the choices carefully because there may be more than one correct answer. Choose all correct answers for each question.

If a payment is recorded for policy 40111, for example, which policy_key is used in the fact table Without time stamps, it would be necessary to compare the policy characteristics in the source system with the type 2 attributes in the dimension table If a payment comes in for policy 40111, with a family size of four and a deductible amount of 500, for example, then surrogate key 14922 should be used This lookup process is explored in greater detail in 17, Design and ETL When dimension rows are time-stamped, this work is greatly simplified To choose the correct surrogate key value, the ETL process need only know the natural key and the date of the transaction This date can be compared to the effective_date and expiration_date columns in the dimension table to identify the correct key value for use in the fact table.

Insert into b (b_desc) Values ('1') Insert into a (a_desc, b_desc)

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