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In this chapter, you have completed a first Hibernate project. We looked at how Hibernate XML mapping files are written and what APIs you can call in Hibernate to interact with the database. We then introduced Java Persistence and EJB 3.0 and explained how it can simplify even the most basic Hibernate application with automatic metadata scanning, standardized configuration and packaging, and dependency injection in managed EJB components. If you have to get started with a legacy database, you can use the Hibernate toolset to reverse engineer XML mapping files from an existing schema. Or, if you work with JDK 5.0 and/or EJB 3.0, you can generate Java application code directly from an SQL database. Finally, we looked at more advanced Hibernate integration and configuration options in a Java EE environment integration that is already done for you if you rely on JPA or EJB 3.0. A high-level overview and comparison between Hibernate functionality and Java Persistence is shown in table 2.1. (You can find a similar comparison table at the end of each chapter.)

Table 2.1 Hibernate and JPA comparison Hibernate Core Integrates with everything, everywhere. Flexible, but sometimes configuration is complex. Java Persistence and EJB 3.0 Works in Java EE and Java SE. Simple and standardized configuration; no extra integration or special configuration is necessary in Java EE environments. JPA provider scans for XML mapping files and annotated classes automatically. Standardized and stable interfaces, with a sufficient subset of Hibernate functionality. Easy fallback to Hibernate APIs is possible.

ALTER DATABASE <current_database> SET ALLOW_SNAPSHOT_ISOLATION OFF; ALTER DATABASE <current_database> SET READ_COMMITTED_SNAPSHOT OFF; -- Table including some example rows used in this example. CREATE TABLE Test.TestTran (Col1 INT NOT NULL, Col2 INT NOT NULL); INSERT Test.TestTran (Col1, Col2) VALUES (1, 1); INSERT Test.TestTran (Col1, Col2) VALUES (1, 2);

Configuration requires a list of XML mapping files or annotated classes. Proprietary but powerful. Continually improved native programming interfaces and query language.

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tistics, values of 2 or over are cause for concern and might indicate that an upgrade is necessary.

SET TRANSACTION ISOLATION LEVEL REPEATABLE READ; BEGIN TRAN; SELECT * FROM Test.TestTran WHERE Col1 = 1; /* Returns 2 rows. */

In the next chapter, we introduce a more complex example application that we ll work with throughout the rest of the book. You ll see how to design and implement a domain model, and which mapping metadata options are the best choices in a larger project.

We ve already mentioned that we think natural primary keys can be a bad idea. Natural keys often make it difficult to refactor the data model when business requirements change. They may even, in extreme cases, impact performance. Unfortunately, many legacy schemas use (natural) composite keys heavily and, for the reason we discourage the use of composite keys, it may be difficult to change the legacy schema to use noncomposite natural or surrogate keys. Therefore, Hibernate supports the use of natural keys. If the natural key is a composite key, support is via the <composite-id> mapping. Let s map both a composite and a noncomposite natural primary key. Mapping a natural key If you encountered a USERS table in a legacy schema, it s likely that USERNAME is the actual primary key. In this case, you have no surrogate identifier that is automatically generated. Instead, you enable the assigned identifier generator strategy to indicate to Hibernate that the identifier is a natural key assigned by the application before the object is saved:

SET TRANSACTION ISOLATION LEVEL READ COMMITTED;

tistics, values of 2 or over are cause for concern and might indicate that an upgrade is necessary.

<class name="User" table="USERS"> <id name="username" column="USERNAME" length="16"> <generator class="assigned"/> </id> ... </class>

SELECT * FROM Test.TestTran; /* Returns the 2 rows in the table. This statement is allowed because it does not change any rows that are included in the transaction in connection 1. */ UPDATE Test.TestTran SET Col1 = 2 WHERE Col1 = 1; /* This statement is now blocked by connection 1 because it would cause the transaction in connection 1 to experience a non-repeatable read. */

The code to save a new User is as follows:

User user = new User(); user.setUsername("johndoe"); // Assign a primary key value user.setFirstname("John"); user.setLastname("Doe"); session.saveOrUpdate(user); // Will result in an INSERT // System.out.println( session.getIdentifier(user) ); session.flush();

SELECT * FROM Test.TestTran WHERE Col1 = 1; /* Still returns 2 rows, i.e. a non-repeatable read did not occur. */

17-47

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