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The relationship defaults are not right for all circumstances, however. While the eager fetching strategy makes sense for one-to-one and many-to-one relationships under most circumstances, it is a bad idea in some cases. For example, if an entity contains a large number of one-to-one and many-to-one relationships, eagerly loading all of them would result in a large number of JOINs chained together. Executing a relatively large number of JOINs can be just as bad as loading an (N1 + N2 + + Nx) result set. If this proves to be a performance problem, some of the relationships should be loaded lazily. Here s an example of explicitly specifying the fetch mode for a relationship (it happens to be the familiar Seller property of the Item entity):

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The interface definition class (IDC) file provides the abstract definitions of the Web service methods and its data types. This class file derives from the System.Web.Services.WebService class, so it can be readily implemented in a Web services code-behind file. The .NET Framework provides a command-line tool called xsd.exe for generating an IDC file based on an XSD schema file. This will manually generate class definitions for the data types. You can add this class file to your Web service project and then manually insert abstract definitions for the Web methods.

@ManyToOne(fetch=FetchType.LAZY) public Seller getSeller() { return seller; }

Like constructors of C++ classes, constructors of managed types can have a member initialization list and a body. The following code shows both options: ref class FileDumper { FileStream^ fs; StreamReader^ sr; public: FileDumper(String^ filename) : fs(gcnew FileStream(filename, FileMode::Open)) {

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You should not take the default lazy loading strategy of the @OneToMany and @ManyToMany annotations for granted. For particularly large data sets, this can result in a huge number of SELECTs being generated against the database. This is known as the N+1 problem, where 1 stands for the SELECT statement for the originating entity and N stands for the SELECT statement that retrieves each related entity. In some cases, you might discover that you are better off using eager loading even for @OneToMany and @ManyToMany annotations. In chapters 10 and 13, we ll discuss how you can eagerly load related entities using JPQL query without having to change the fetch mode on an association on a per-query basis. Unfortunately, the choice of fetch modes is not cut and dried, and depends on a whole host of factors, including the database vendor s optimization strategy, database design, data volume, and application usage patterns. In the real world, ultimately these choices are often made through trial and error. Luckily, with JPA, performance tuning just means a few configuration changes here and there as opposed to time-consuming code modifications. Having discussed entity retrieval, we can now move into the third operation of the CRUD sequence: updating entities.

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Recall that the EntityManager makes sure that changes made to attached entities are always saved into the database behind the scenes. This means that, for the most part, our application does not need to worry about manually calling any methods to update the entity. This is perhaps the most elegant feature of ORMbased persistence since this hides data synchronization behind the scenes and

truly allows entities to behave like POJOs. Take the code in listing 9.10, which calculates an ActionBazaar Power Seller s creditworthiness.

If you are brave enough, you can generate the WSDL document manually once you have built the XSD schema file. However, the only real benefit you gain from this step is that you are then able to fully generate the IDC file using the wsdl.exe command-line tool. It is easier to follow step 3 (explained previously), using xsd.exe combined with manual coding of the abstract method definitions. The syntax of WSDL documents is very difficult to build correctly by hand. ( 2 of this book, which reviews the structure of WSDL documents, is essential reading, so that you can understand how the WSDL document is structured and how it relays Web service metadata to Web service clients.)

public void calculateCreditWorthiness (Long sellerId) { PowerSeller seller = entityManager.find Finds Seller PowerSeller.class, sellerId); entity seller.setCreditWorth(seller.getCreditWorth() * CREDIT_FACTOR * getRatingFromCreditBureauRobberBarons(seller)); seller.setCreditWorth(seller.getCreditWorth() + (seller.getCreditWorth() * FEEDBACK_FACTOR * seller.getBuyerFeedbackRating())); seller.setCreditWorth(seller.getCreditWorth() + (seller.getCreditWorth() * SELLING_FACTOR * getTotalHistoricalSales(seller))); }

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