By Floyd Marinescu
Loads of programming comprises fixing a similar types of easy difficulties. good, what if a group of specialists bought jointly and pooled their wisdom to come back up with the easiest programming practices for fixing those difficulties? you'll have what are referred to as layout patterns.
writer Floyd Marinescu, a number one specialist on EJB, labored with the participants of the EJB neighborhood of TheServerSide.com to place their collective wisdom jointly to construct a library of layout styles, concepts, and most sensible practices for EJB layout and improvement. This treasure-trove of confirmed most sensible practices will permit builders to speedy remedy tough programming assignments. in contrast to different styles books, this publication is going past high-level designs to the particular code for enforcing them, saving builders numerous hours of effort and time while construction scalable, trustworthy, and maintainable EJB structures.
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Additional resources for EJB design patterns : advanced patterns, processes, and idioms
Complex data transfer object hierarchies can be created by explicitly writing logic that knows how to navigate (and copy) a use-case-specific slice of a hierarchy of entity beans. These DTO hierarchies can all be created up front on the server, and passed to the client in one network call. 11 Using a Car DTO factory as a session bean. Car Manufacturer EJB Layer Architectural Patterns One important benefit that results from this practice is that the entity beans in our application are now fully reusable.
The CarDTOFactory then creates and populates the DTO by calling get methods on the Car entity bean and its related Manufacturer entity bean through their local interfaces. Data transfer object factories can be used to easily create any type of DTO. Even complex hierarchies of Aggregate DTOs (domain DTOs that contain other domain DTOs) can be created that map to different slices of the serverside entity bean object model. Complex data transfer object hierarchies can be created by explicitly writing logic that knows how to navigate (and copy) a use-case-specific slice of a hierarchy of entity beans.
This type of behavior, called asynchronous behavior, allows clients to interact with the User Interface (UI) with maximum response times, because they don’t need to sit and wait while the use case they initiated executes. This approach allows a large system to scale, because use cases can be queued and operated on in a batch, transparent to the user, who instantly moves on to the next part of a UI. Portions of the system that actually execute the use cases can also be scaled up and go through system upgrades if backlogs of queued use cases begin to develop, all without changing the quality or availability of service for the clients.