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As you can see in both tables, calls across managed-unmanaged boundaries produced by C++/CLI can be more than 500 percent slower than calls without transitions. However, unless you have a large number of transitions, this overhead can likely be ignored. The difference in overhead between the 10 million calls to fManagedLocal from native callers (~2.12s) and the 10 million calls from managed callers (~0.32s) is about 1.8 seconds. In addition to the measured time, both tables also show the transitions that occur in the different scenarios. For example, for the direct call to fManagedLocal from managed code, the text M M shows that a call from managed code to managed code has occurred. Cells with the text U M indicate an unmanaged-to-managed transition. Likewise, M U stands for a managed-to-unmanaged transition. For the indirect call to fManagedLocal from managed code, the text M U M indicates a transition from managed code to unmanaged code and back to managed code. This is the double-thunking scenario discussed earlier. In addition to the double-thunking case, Table 92 also shows the cost for an indirect method call with a __clrcall function pointer, which can prevent double thunking, as discussed earlier. As you can see, double thunking can easily increase the costs for method calls by more than 600 percent. Table 9-3 shows similar results for the double-thunking problem related to virtual function calls.

public class BidSpringEAO extends BasicSpringEAO implements BidEAO { public Bid addBid(Item item, String bidderId, double bidPrice) { Bid bid = new Bid(); ... getJpaTemplate().persist(bid); Uses JpaTemplate to persist return bid; }

public Bid cancelBid(Long bidId) { Bid bid = (Bid)getJpaTemplate().find(Bid.class, bidId); bid.setBidStatus(BidStatus.CANCELLED); getJpaTemplate().merge(bid); Uses JpaTemplate to merge return bid; }

As we stated earlier, our purpose in building a tightly coupled Web service client is to show you an alternate approach to building clients. In some cases, you will want to build a tightly coupled Web service client in order to prevent any miscommunication or misunderstanding between the Web service and its client as to what methods and types are supported. Certainly, type definitions can change, and so tight coupling can add an additional burden to the developer of the client. However, WSDL definitions can also change just as easily, and there is no clear way for a Web service to communicate interface changes to its clients. Ultimately, we advocate the design approach of loose coupling between a Web service and its clients. The alternative tightly coupled approach that we are presenting here simply has the Web service itself referencing a type definition assembly and delegating all of its business logic to a dedicated business assembly. Technically, this is tight coupling between the Web service and client, as opposed to the traditional loose coupling between client and service, where the proxy class is generated as needed based on the current Web service WSDL specification. The material in this chapter provides everything you need to understand and implement both loosely coupled and tightly coupled designs. We will look at both approaches next.

The class that implements the EAO interface must extend JpaDaoSupport b. Instead of using the EntityManager API, you use JpaTemplate. In listing 16.1, we ve used the persist and merge methods c and d to persist or merge entity instances. Using JpaTemplate How are exceptions handled with regard to JpaTemplate We re glad you asked. You need to be aware that JpaTemplate does not throw any persistence API exceptions. Instead, it throws Spring s DataAccessException. The primary benefit of this to developers is that by translating exceptions into those provided by the Spring framework, the persistence mechanism is neutral. This means you can swap out persistence mechanisms and your application code won t have to change to support the new framework s error handling. This makes it easier to migrate from one persistence toolkit to another, or to support multiple toolkits if you are a tool vendor. Table 16.2 describes some of the important methods in JpaTemplate.