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The difficulty of choosing between annotations and XML deployment descriptors manifests itself most strikingly in the arena of EJB 3 O/R mapping. XML descriptors are verbose and hard to manage, and most developers find them to be a painpoint for Java EE. While O/R mapping with annotations makes life simpler, you should keep in mind that you are hard-coding your database schema in your code in a way similar to using JDBC. This means that the slightest schema change will result in a recompilation and redeployment cycle as opposed to simple configuration. If you have a stable database design that rarely changes or you are comfortable using JDBC data access objects (DAOs), then there is no issue here. But if you have an environment where the database schema is less stable (subject to change more often), you re probably better off using descriptors. Luckily, you can use XML descriptors to override ORM annotations after deploying to a production environment. As a result, changing your mind in response to the reality on the ground may not be a big deal.



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@Table specifies the table containing the columns to which the entity is mapped. In listing 8.4, the @Table annotation makes the USERS table s columns available for ORM. In fact, by default all the persistent data for the entity is mapped to the table specified by the annotation s name parameter. As you can see from the annotation s definition here, it contains a few other parameters:

PL/SQL procedure successfully completed. ops$tkyte@ORA10G> select * from t; no rows selected ops$tkyte@ORA10G> select * from t2; CNT ---------0

@Target(TYPE) @Retention(RUNTIME) public @interface Table { String name() default ""; String catalog() default ""; String schema() default ""; UniqueConstraint[] uniqueConstraints() default {}; }

WHEN OTHERS in general nor explicitly code what Oracle already provides as far as transaction semantics





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No web application is complete without mapping its request handlers to URLs. As with all things in Spring MVC, there is no one way to map a URL to a Controller. In fact, it s very possible to create a mapping scheme and implementation that doesn t even rely on URLs at all. However, because the provided implementations are all based on URL paths, we will now review the default path matching rules. Path Matching Path matching in Spring MVC is much more flexible than a standard web.xml s servlet mappings. The default strategy for path matching is implemented by org.springframework.util. AntPathMatcher. As its name hints, path patterns are written using Apache Ant (http://ant. apache.org) style paths. Ant style paths have three types of wildcards (listed in Table 5-2), which can be combined to create many varied and flexible path patterns. See Table 5-3 for pattern examples. Table 5-2. Ant Wildcard Characters

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The @Table annotation itself is optional. If it s omitted, the entity is assumed to be mapped to a table in the default schema with the same name as the entity class. If the name parameter is omitted, the table name is assumed to be the same as the name of the entity. This will be just fine if we are mapping to the USER table.

Here, by mimicking the work Oracle normally does for us with the SAVEPOINT, we are able to restore the original behavior while still catching and ignoring the error. I provide this example for illustration only this would be an exceeding bad coding practice.

Most persistence providers include a great developer-friendly feature known as automatic schema generation. The persistence provider will automatically create database objects for your entities when they do not exist in the database. This behavior is not mandated by specification and is configured using vendor-specific properties. Most of our code examples rely on automatic schema generation. In chapter 11, we ll provide an example configuration to enable automatic schema generation.

Lastly, there is the concept of transaction-level atomicity. The entire goal of a transaction, a set of SQL statements executed together as a unit of work, is to take the database from one consistent state to another consistent state. To accomplish this goal, transactions are atomic as well the entire set of successful work performed by a transaction is either entirely committed and made permanent or rolled back and undone. Just like a statement, the transaction is an atomic unit of work. Upon receipt of success from the database after committing a transaction, you know that all of the work performed by the transaction has been made persistent.

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We won t discuss the catalog and schema parameters in depth since they are hardly ever used. In effect, they allow you to fully qualify the mapped table. For example, we could have explicitly specified that the USERS table belongs in the ACTIONBAZAAR schema like so:

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See this article that may help you: http://www.codeproject.com/KB/webforms/ aspnetpdfviewer. aspx . ASP . NET PDF Viewer User Control Without ...

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