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(N1 + N2 + + Nx) rows would be returned, where Ni is the number of related Category entities for the ith Item record For nontrivial numbers of N and i, the retrieved result set could be quite large, potentially causing significant database performance issues This is why JPA makes the conservative assumption of defaulting to lazy loading for @OneToMany and @ManyToMany annotations Table 94 lists the default fetch behavior for each type of relationship annotation..

Table 9.4 Behavior of loading of associated entity is different for each kind of association by default. We can change the loading behavior by specifying the fetch element with the relationship. Relationship Type One-to-one One-to-many Many-to-one Many-to-many Default Fetch Behavior EAGER LAZY EAGER LAZY Number of Entities Retrieved Single entity retrieved Collection of entities retrieved Single entity retrieved Collection of entities retrieved

The final section I will go over for the Properties panel is the Search section feature, shown in Figure 2-57. This is a very handy and time-saving feature that I use regularly. Because the Properties panel is very large and has many properties for any given control, it is sometimes difficult to remember where exactly a property is located. Say, for example, you want to change the Cursor property, but you can t remember where it is located in the Properties panel. You can just start to type the word cursor into the search field, and Blend will locate it for you.

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

The Resources panel, shown in Figure 2-58, contains a list of all Resources of your application. Remember the ResourceDictionary1.xaml file you created It shows up in this list, and inside of it, the Brush1 Resource color gradient you created is shown. You can use the Resources panel to actually apply the resources, which you ll do now by following these steps:

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.

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

Figure 2-58. The Resources panel, which contains all Resources available to your project, including the Resource Dictionary you created earlier.

Run the update.php script by navigating to http://example.com/update.php. If the update was successful, put your production site in maintenance mode, and follow the same process.