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However, there is also a disadvantage to the coarse-grained approach error handling can be much more dif cult In the coarsegrained version of the LoanService, applicant-related data is contained in the LoanApplication class, which is passed to the former as one parameter This makes the source of errors in part of the data more dif cult to identify and respond to For example, an invalid ZIP code (postal code) may occur in the applicant s or property address This requires a mechanism for reporting the source of errors In addition, the application could have a number of problems with it, requiring a way to aggregate and report them in an exception or result data Handling errors in this way is more complicated than it is with the ne-grained contracts, but the advantages of loose coupling outweigh the added complexity Using WSDL for Service Contracts Remotable services should be loosely coupled with their clients by making limited assumptions about them This entails not assuming clients will be written in Java When de ning remotable service contracts, it is therefore good practice to design for language interoperability One of the key pitfalls in doing so is the translation of data types across languages In particular, operation parameter types may not map cleanly or at all in different languages Simple types such as strings and numerics generally do not present dif culties However, user de ned-types, especially complex types such as classes, often pose challenges To achieve interoperability, it may be necessary to create a language-neutral representation of the service contract that also de nes operation parameter types As we have seen in 2, Assembling and Deploying a Composite, the most common way to do this today is through WSDL A WSDL document describes a service or set of services and their operations SCA runtimes and IDEs typically provide tooling that makes it easier to work with WSDL For example, some tools allow the service contract to be written in Java rst as an interface and a WSDL generated from it This is usually the easiest approach, at least for Java developers However, some organizations prefer a top-down approach where service contracts are crafted directly in WSDL This approach, although more time-consuming and potentially dif cult, has the advantage of better accommodating interoperability because the contract is de ned in a languageneutral way When starting top-down, Java interfaces that.

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The SoapMessage parameter received by ProcessMessage is actually one of SoapServerMessage or SoapClientMessage (both inherit from SoapMessage) depending on whether the extension is being used on the client or the server Because the client initiates the request and receives the response, the four stages of ProcessMessage are reversed on the client The order on the client is: BeforeSerialize, AfterSerialize, BeforeDeserialize, AfterDeserialize The SOAP request message is sent to the Web service between AfterSerialize and BeforeDeserialize

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Because it contains no calls to access the database, an entity bean with containermanaged persistence requires a lot less code than one with bean-managed persissource file discussed in this chapter is tence For example, the much smaller than the code documented in 5 Table 6 1 compares the code of the two types of entity beans Table 6 1 Coding Differences between Persistent Types

application code uses are created based on the WSDL contract Fortunately, many tools automate this process by generating the interfaces from WSDL

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Now that you understand how SOAP extensions work, you are ready to implement reusable authorization, usage tracking and compression infrastructure

Table 6 1 Coding Differences between Persistent Types (Continued)

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