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On day 10, the officer finishes reviewing the application and passes it along to the processor. Days_reviewing is incremented one last time. The day_key for the current date is used to populate the day_key_reviewed, indicating that the review is complete. The officer has changed the mortgage amount to $90,000, and this is recorded in the review_amount column. On day 11, the application remains at the processing stage. The days_processing fact is incremented. This will continue daily until the next status is achieved, at which point the appropriate date will be filled in and the next elapsed days fact will begin accumulating. NoTe It is not always possible to engineer a solution where every row of an accumulating snapshot is updated daily. In the mortgage example, there may be less than 100,000 active applications at any given time. An ETL process can efficiently update each row in the fact table for this volume of applications. When the number of items being tracked is too large for this kind of processing, the ETL process can be designed to update fact table rows only for items that have undergone a status change. This saves on ETL processing, but makes it more difficult to use the accumulating snapshot. Reports that aggregate time spent at various stages will require extra work if they are to include items that have yet to complete the stage.

public interface MessageListener { Record onMessage(Record inputData) throws ResourceException; }

(1 row(s) affected)

The second difference is in the configuration of the MDB. The EJB container needs to know which destination or endpoint to which it must connect. This is done via new tags within the deployment descriptor. The <messaging-type> tag defines the interface being implemented. The other configuration properties are defined with the <activation-config> tag, which contains arbitrary name/value pairs for properties that are specific to the messaging service being used. Here is an example deployment descriptor for an MDB using a JCA CCI connector:

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Constructed in this manner, the accumulating snapshot is a useful and powerful tool for studying time spent at any processing stage or any combination of stages. Elapsed days can be studied in terms of their minimums, maximums, or averages across any relevant dimensions, simply by aggregating the appropriate facts as required. No correlated subquery is necessary. For example, the average processing time for applications that were processed in January 2009 can be determined with a simple SQL statement:

<ejb-jar> <enterprise-beans> <message-driven> <ejb-name>SCEA MDB</ejb-name> <ejb-class>com.ucny.sceaMdb </ejb-class> <messaging-type>com.ucny.SCEA_JCAListener</messaging-type> <transaction-type>Bean</transaction-type> <activation-config> <activation-config-property> <activation-config-property-name> HostID </activation-config-property-name> <activation-config-property-value> ZOSCICS07 </activation-config-property-value> </activation-config-property> <activation-config-property>

SELECT avg( days_processing ) FROM mortgage_processing_facts, day WHERE mortgage_processing_facts.day_key_processed = day.day_key aND day.month = "January" aND day.year = 2009

<activation-config-property-name> UserID </activation-config-property-name> <activation-config-property-value> LCPRA </activation-config-property-value> </activation-config-property> </activation-config> </message-driven> </enterprise-beans> </ejb-jar>

Similarly, the average time spent reviewing and processing an application is easily computed:

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

IdentityValue ---------------------------------------2 (1 row(s) affected)

SELECT avg( days_reviewing + days_processing ) FROM mortgage_processing_facts, day aS day_processed WHERE mortgage_processing_facts.day_key_processed = day_processed.day_key aND day_processed.month = "January" aND day_processed.year = 2009

The following table shows messaging and EJB implementations that can be used as solutions for the given scenarios.

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