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The DTO is a commonly used design pattern. The specific benefit with respect to entity beans is that it allows the transfer of data back and forth between remote clients and entity beans in EJB 2. There are two types of DTOs: fine grained and coarse grained. The fine-grained DTO often has a one-to-one mapping between an entity bean and a DTO. The coarse-grained DTO represents data from multiple entity beans and is also known as the View object. In reality, a fine-grained DTO looks like a real domain object, just without any behavior; only the state of the object is represented. 9 explained that this use of a DTO is no longer required because entities themselves are POJOs that can be transferred between clients and servers. If you used the DTO design pattern and are looking to migrate your entity beans to EJB 3 without spending any effort on remodeling, then you should consider making each DTO a candidate for an EJB 3 entity class.

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The web application now illustrates the mechanics, but in a real-world scenario this wouldn t be sufficient. As mentioned earlier, you d have to check for errors (such as invalid e-mail addresses) and apply some level of security. From the game key, for example, it would be very easy to guess keys of other ongoing games in the datastore to which one could add moves, and so on, by sending the right URL requests. In addition, you d also need more information in the Game class, such as who plays which color, any time limit per move, any nonstandard start position, and so on. These are fairly trivial exercises, so I won t waste space on this here.

EntityManager entityManager = entityManagerFactory.createEntityManager(); try { EntityTransaction entityTransaction = entityManager.getTransaction(); entityTransaction.begin(); entityManager.persist(item); entityTransaction.commit(); } finally { entityManager.close(); entityManagerFactory.close(); }

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[Test] public void GetStringVersionFromHeader_SingleDigit_Found() { Uses string input = "header;version=1;\n"; w factory method StandardStringParser parser = GetParser(input); string versionFromHeader = parser.GetTextVersionFromHeader(); Assert.AreEqual("1",versionFromHeader); }

Table 13.9 Affine transformations for creating reusable transformations (continued) Function CGAffineTransformTranslate Arguments array, x-change, y-change context, array Summary Translates the array

15.3.1 A 3D Transform in XAML Adding a transform to a model or to a camera in XAML is pretty straightforward. For example, to translate the camera along the Z-axis, all we have to do is specify the Transform to use.

As you can see, we used the SQL IN operator to construct a WHERE criteria to filter the purchase orders for multiple salespersons. In addition, we used the SQL LIKE operator in the WHERE clause to support wildcards for the purchase order number. The users can run this report as it is, but you will probably agree that the Employee parameter is not very intuitive. Users usually don t memorize employee identifiers. Instead, they may prefer the Employee parameter to show the salesperson s name. From an implementation standpoint, what is really needed is a lookup table for the Employee parameter to resolve the employee name to the employee identifier. This is exactly where Step Parameters comes in because it can handle multivalue parameters. You can delegate the task of handing parameters to the Report Wizard by setting the CustomParameters property to true for a given report.

The release of ADONET included with Version 35 of the NET Framework (that s the version that comes with Visual Studio 2008) includes a new component: the ADONET Entity Framework Part entity-relationship modeling tool, part code generator, this new technology helps you craft logical data views of the data stored in your relational database or other data source The Entity Framework lets you design three types of objects based on your stored data: entities (similar to tables), relationships (database joins), and entity sets (related entities) Each type is represented by objects that expose the members of your core database in a more programmable fashion For instance, you can design an entity object representing a table in your database, and the object s members can represent the fields in a single record So what, you say It sounds like the same features built into ADO.

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