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widely used in the Java platform for a good number of years, some developers consider these conventions to be overkill and would rather access instance variables directly. The good news is that JPA supports this paradigm (whether it should is an open question we ll express our viewpoint in a moment). Defining O/R mapping using fields or instance variables of entity is known as field-based access, and using O/R mapping with properties is known as property-based access. If you want to use field-based access, you can declare all your POJO persisted data fields public or protected and ask the persistence provider to ignore getters/ setters altogether. You would only have to provide some indication on at least one of the instance variables that they are to be used for persistence directly. You can do this by using the @Id annotation that we ll discuss next that applies to either a property or a field. Depending on your inclination, this transparent flexibility may or may not seem a little counterintuitive. In the early releases of the EJB 3 specification, the @Entity annotation had an element named accessType for explicitly specifying the persistence data storage type as either FIELD or PROPERTY. As you ll see, O/R mapping using XML provides an element named access to specify the access type. However, many developers do not like this element and want the additional flexibility of having the JPA provider dynamically determine the access type based on entity field usage patterns. The following snippet shows what field-based persistence might look like:

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Figure 1-4. Separating managed code in DLLs In this simple scenario, TheApp.cpp shall represent your existing project. To extend it with managed features, a new DLL is created from the source file TheLib.cpp. Notice that TheLib.cpp is compiled with /clr. Therefore, the exported function f() is a managed function. When main calls the managed function f, the CLR is delay-loaded. Using mixed-code DLLs like TheLib.dll from the preceding sample, you can minimize the impact that managed execution has on your project. However, there are some pitfalls that you should know before you start writing mixed-code DLLs. 12 gives you all the necessary information to avoid these pitfalls.

@Entity public class Category { @Id public Long id; public String name; public Date modificationDate; public Category() {} }

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Here, the persistence provider would infer that the id, name, and modificationDate public fields should be persisted since the @Id annotation is used on the id field. The annotations would have been applied to getters if we did not intend to use fields for persistence instead of properties.

Annotations used with a setter method are ignored by the persistence provider for property-based access.

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Request/response with polling: The client sends a request message to a service endpoint and immediately returns a correlation message ID to uniquely identify the request The service takes a significant amount of time to process the request, meaning more than you would expect if you were receiving a timely response message Knowing this, the client must periodically poll the service using the correlation ID to ask if a response is ready The service treats this query as a standard request/response, and replies in the negative or in the affirmative (with the actual response message) So this model involves two pairs of correlated request/response messages 3 Request/response with notification: The client sends a request message to a service, and the service takes a significant amount of time to process the request, meaning more than you would expect if you were receiving a timely response message.

One caveat in choosing between field- and property-based persistence is that both are one-way streets; you cannot mix and match access types in the same

So far, I have discussed the following two major features, sometimes summarized as C++/CLI interoperability: Existing C++ source code can be compiled to managed code (source code compatibility). Native code and managed code can be linked into a mixed-code assembly (object file compatibility). Compared to the interoperability features that other .NET languages provide, C++/CLI interoperability is much more powerful. It is a significant simplification for interoperating with native code, and it enables developers to save huge investments of existing C++ code. On the other hand, these powerful features have side effects. Often, these side effects can be ignored, but it is also possible that these side effects are incompatible with other constraints and requirements of a project. To handle situations that are incompatible with the side effects caused by C++/CLI interoperability, Visual C++ allows you to turn either the object file compatibility or both C++/CLI interoperability features off. This can be done by choosing different compilation models supported by Visual C++. If the command-line option /clr is not

entity or in any entity in the POJO hierarchy. Field-based persistence is a one-way street in another important way: you give up the OO benefits of encapsulation/ data hiding that you get from getters and setters if you expose the persistence fields to be directly manipulated by clients. Even if you used field-based access, we recommend that you make the fields private and expose the fields to be modified by getter/setter method. For example, property setters are often used in nontrivial applications to validate the new data being set or to standardize POJO data in some fashion. In our example, we could automatically convert Category names to uppercase in the setName method:

public void setName(String name) { this.name = name.toUpperCase(); }

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