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Interfaces lay down the contract that implementations must fulfill. In other words, classes that implement an interface provide a guaranteed set of behavior. An interface is represented by the same rectangular box as a class, but with a difference. The top compartment shows the class name augmented by a stereotype <<interface>>. Stereotypes are a mechanism to extend an existing notation. Some UML tools also represent interfaces with a circle with no explicit mention of the methods. Figure 1-9 shows the two different forms.

When the getReference() call is invoked, the provider can return a proxy to the Department entity without actually retrieving it from the database As long as only its primary key is accessed, Department data does not need to be fetched Instead, when the Employee is persisted, the primary key value will be used to create the foreign key to the corresponding Department entry The getReference() call is effectively a performance optimization that removes the need to retrieve the target entity instance There are some drawbacks to using getReference() that must be understood The first is that if a proxy is used, it might throw an EntityNotFoundException exception if it is unable to locate the real entity instance when an attribute other than the primary key is accessed The assumption with getReference() is that you are sure the entity with the correct primary key exists.

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If, for some reason, an attribute other than the primary key is accessed, and the entity does not exist, an exception will be thrown A corollary to this is that the object returned from getReference() might not be safe to use if it is no longer managed If the provider returns a proxy, it will be dependent on there being an active persistence context to load entity state Given the very specific situation in which getReference() can be used, find() should be used in virtually all cases The in-memory cache of a good persistence provider is effective enough that the performance cost of accessing an entity via its primary key will not usually be noticed.

This synchronous report generation strategy was found wanting in some midsize to large companies where eInsure was installed. As these companies used this application to add new products, policies, parties, and claims, the data volume increased at a rapid pace. This led to frustrating user experiences because the synchronous reports mostly timed out with the large data volume. The users were already frustrated because of the blocking nature of the synchronous reports. Most reports generated large data sets, and transferring this data from the database to the application server and subsequently to the client browser clogged the network.

String sql = "select p from products where name = '" + name + "'";

In the case of EclipseLink, it has a fully integrated shared object cache, so not only is local persistence context management efficient but also all threads on the same server can benefit from the shared contents of the cache The getReference() call is a performance optimization that should be used only when there is evidence to suggest that it will actually benefit the application..

Removing an entity is not a complex task, but it can require several steps depending on the number of relationships in the entity to be removed. At its most basic, removing an entity is simply a case of passing a managed entity instance to the remove() method of an entity manager. As soon as the associated persistence context becomes synchronized with a transaction and commits, the entity is removed. At least that is what we would like to happen. As we will soon show, removing an entity requires some attention to its relationships, or else the integrity of the database can be compromised in the process. Let s walk through a simple example. Consider the Employee and ParkingSpace relationship that we demonstrated in 4. The Employee has a unidirectional one-to-one relationship with the ParkingSpace entity. Now imagine that we execute the following code inside a transaction, where empId corresponds to an Employee primary key:

Applications need to support long-running use cases. It is necessary to execute the business services asynchronously. Long-running operations should not block users.

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