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8.4.2 Understanding JDO
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From our point of view, the most important difference between a servlet-based application and an application where business logic and data access executes in the EJB container is the possibility of physical separation of tiers. If the EJB container runs in a different process than the servlet engine, it s absolutely essential to minimize requests from the servlet tier to the EJB tier. Latency is added by every interprocess request, increasing the application response time and reducing concurrency due to the need for either more database transactions or longer transactions. Hence it s essential that all data access related to a single user request occur within a single request to the EJB tier. This means you can t use the previous lazy approach, where the view was allowed to pull data from the domain model objects as needed. Instead, the business (EJB) tier must accept responsibility for fetching all data that will be needed subsequently for rendering the view. In existing systems that use entity beans, you can already see this idea. The session fa ade pattern allows these systems to group all activity related to a particular user request into a single request to the EJB tier. The ubiquitous data-transfer object (DTO) pattern provides a way of packaging together the data that the view will need. A DTO is a class that holds the state of a particular entity; you can think of a DTO as a JavaBean or POJO without any business methods. DTOs are required in an entity bean environment, since entity beans aren t serializable and can t be transported across tiers. In our case, we can easily make our POJOs serializable, so we naturally find ourselves questioning the need for DTOs.
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Note that most Image::Magick methods return undef on success.5 This means that you have to check whether the return value is true to detect an error, while most of the time, in Perl, you check whether a return value is false. This can be a bit counterintuitive. Image::Magick is a fairly large and heavy module, which takes quite some CPU power to load. The reason for this is that Image::Magick is a very general purpose graphics manipulation module, and anything that is general purpose is bound to be
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As we discussed earlier, the array doesn t specifically need to know that it holds a Document object, just that it holds objects that implement IStorable. To implement the IStorable interface, use the same syntax as though the new Document class were inheriting from IStorable a colon (:) followed by the interface name:
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those features for this example), and move on to the menu class. The SQLite API has more information on these features if you need them.
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15.3.4 State-directed workers
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figure A.2. The installer copies the necessary files to the default installation directory, which is the following:
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When the user clicks on the Print button this time, the Print Range section of the dialog has enabled the Pages field, and it s already filled in with the minimum and maximum pages in the range 1 5 (see Figure 20-8).
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Testing is a key tenet of any type of engineering, and software engineering is no different. Because software needs to be fully retested on every new build, the act of executing test cases can be slow and error-prone if done by hand. Creating automated tests is an accepted best practice, and ASP.NET MVC eases this effort. 20 covered full-system testing and the specific techniques necessary to test an ASP.NET MVC application. This chapter moves beyond the most important type of testing, full-system testing, to more targeted tests that point directly to problem areas when unexpected churn occurs in the code base. Because controllers are normal classes and actions are merely methods, we can load and execute actions and then examine the results. But even though testing controllers is simple, we must consider an important caveat. When we test a controller action, we re only able to write assertions for the behavior we can observe. The true test of a working application is running it in a browser, and there are
Although you may have been warned that domain modeling is complex, the idea behind it is pretty simple. In effect, a domain model is a conceptual image of the problem your system is trying to solve. Literally, it is made up of the objects in the system universe and the relationships or associations between them. As you can guess, an object in a domain model need not be a physical object but just a concept used by your system. A relationship, on the other hand, is an imaginary link between objects that need to know about one another. The critical thing to remember is that the domain model describes the objects and how the objects might relate to one another, but not how a system acts on the objects. We like to think of a domain model as a set of interlocking toy blocks. Each uniquely shaped block in the set is an object. The shape of each block determines how they fit with one another. Each such fit is a relationship. In the end, though, you put together the blocks into whatever configuration sparks your imagination. The master plan for putting together the final results forms the business rules of the application. The business rules are implemented by the session beans and MDBs we discussed in previous chapters, while the persistence API implements the domain model that the business rules act on. We won t talk about domain modeling much further than what is needed for explaining the concepts we just introduced. However, we encourage you to explore the topic further by checking out the excellent books written on the subject of domain modeling, most notably Patterns of Enterprise Applications Architecture by Martin Fowler (Addison-Wesley, 2002). UML class diagrams are the most popular method of creating the initial domain model. However, we are going to avoid using formal class diagrams throughout this chapter and in the rest of the book. Instead, we ll use the simplest diagrams possible, which might have a shallow resemblance to UML.
some commonly used metadata annotations supported by JPA. In this section, you ll see some of the JPA annotations in action as we implement part of the domain model using the EJB 3 JPA. We ll start with the @Entity: annotation that converts a POJO to an entity. Then you ll learn about field- and property-based persistence and entity identity. Finally, we ll discuss embedded objects.
startActivity(intent); return true; } return super.onMenuItemSelected(featureId, item); } @Override Get Application protected void onListItemClick(ListView l, View v, object and int position, long id) { set state RestaurantFinderApplication application = (RestaurantFinderApplication) getApplication(); application.setCurrentReview(; Intent intent = new Intent(Constants.INTENT_ACTION_VIEW_DETAIL); intent.putExtra(Constants.STARTFROM_EXTRA, getIntent().getIntExtra( Constants.STARTFROM_EXTRA, 1)); startActivity(intent); } private void loadReviews(String location, String cuisine, int startFrom) { Create final ReviewFetcher rf = new ReviewFetcher(location, loadReviews cuisine, "ALL", startFrom, method ReviewList.NUM_RESULTS_PER_PAGE); this.progressDialog = Show, " Working...", ProgressDialog " Retrieving reviews", true, false); new Thread() { Make web public void run() { service call reviews = rf.getReviews(); handler.sendEmptyMessage(0); } }.start(); }
<wp:CustomWeatherPart ID="CustomWeatherPart1" runat="server" NumberOfDays="7" Title="Weather Forecast" />
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The SearchFactory method exposes two methods for optimizing your indexes. The first one optimizes the index(es) for a given class. Listing 9.10 shows how to call this method.
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