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The history of these attributes is carefully followed by the business, so they are designated as type 2. The policy dimension table is associated with a fact table that tracks policy payments that have been made by the policy holder. The slow changes that accumulate for one particular policy are illustrated in the lower part of the figure. Policy number 40111 is held by someone named Hal Smith and apparently has been active for quite some time. You can see that the policy has undergone several changes. Initially, Hal was single and his policy covered himself alone. Later, he married, but coverage was not added for his spouse. Subsequently, his spouse did become covered, and still later coverage was added for a child. When coverage was added for a second child, you can see that Hal also increased his deductible. The insurance company needs to be able to understand what each policy looked like at any given point in time. For example, users might want to know how many policy holders were married versus how many were single on a particular date, or what the total number of covered parties was at the close of a fiscal period. Policy payments are completely irrelevant to this analysis.

Context initialContext = new InitialContext(); ItemLocalHome itemHome = (ItemLocalHome) initialContext.lookup("java:ucny/um2z8/items");

Local clients access entity beans through local and local home interfaces with the arguments of the local and local home methods being passed by reference. The enterprise bean provider should be aware that argument objects shared between local clients and entity beans can be modified by either the local clients or the entity beans. A local client can get a reference to an existing entity object s local interface in either of the following ways:

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Unfortunately, the design in Figure 8-1 is not able to answer these questions. Although the dimension table records all the changes to policies, it does not associate them with specific time periods. Was Hal married on November 1, 2005 The dimension table tells us that at different times he has been single and married, but not when. Unless there happens to be a row recorded for the policy in payment_facts for November 1, 2005, there is no way to know what the policy looked like on that date.

n Receive the reference as a result of a method call. n Find the entity object using a finder() method defined in the entity bean s

Point-in-time analysis of a closely watched dimension can be supported by creating a fact table expressly for the purpose. A row is recorded in the fact table each time the dimension changes. Each row in this fact table contains a foreign key identifying the new row in the dimension table, and one identifying the date it became effective. An additional foreign key can be maintained to indicate the date on which the row expired, which will help produce point-in-time analysis. If each change occurs for a particular reason, this may be captured via an additional dimension. An example appears in Figure 8-2. The fact table in the figure, policy_change_facts, logs changes to the policy dimension. Its grain is one row for each policy change. Each row contains a policy_key representing the changed policy. A transaction type dimension contains reference information indicating the reason for the change a new policy, a policy change, or policy cancellation. Two keys refer to the day dimension. Day_key_effective indicates the day on which the policy change went into effect. Day_key_expired will be used to indicate when it was superseded by a new version.

local home interface. A local client that has a reference to an entity object s local interface can invoke business methods on the entity object through the local interface.

DAY POLICY_ CHANGE_FACTS day_key_effective day_key_expired policy_key transaction_type_key . . . (facts, if any) . . .

The execution will be stopped. Even an error handler written in Transact-SQL will not be able to proceed at this point.

Entity Beans (EJB 3.0)

POLICY policy_key SK policy_number NK policy_holder 2 address 2 2 marital_status family_size 2 covered_parties 2 covered_children 2 deductible_amount 2 . . .

The CMP entity bean has been overhauled with EJB 3.0. Entity beans are now Plain Old Java Objects (POJOs) and component interfaces are no longer required. The bean class is now a concrete class and entity beans now support inheritance and polymorphism. Here is a summary of the major enhancements for EJB 3.0 entity beans:

COMPANY_HIERARCHY_BRIDGE 1 superior_ subordinate_ levels_ company_ company_ removed key key 1 2 5 1 1 1 1 1 1 7 8 1 2 2 2 3 4 5 5 5 5 6 6 6 7 8 1 2 3 4 5 6 7 8 2 3 4 3 4 5 6 7 8 6 7 8 7 8 0 1 2 2 1 2 3 3 0 1 1 0 0 0 1 2 2 0 1 1 0 0

n Java language annotations (including Object Relational Mapping) n Support for inheritance and polymorphism n Simpler lightweight persistence model for Create, Read, Update and Delete

State the Transactional Behavior in a Given Scenario for an Enterprise Bean Method with a Specif ied Transactional Deployment Descriptor

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