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The schemaexport Ant target uses this task, and it also depends on the compiled classes and copied configuration files in the build directory. The basic use of the <hibernatetool> task is always the same: A configuration is the starting point for all code artifact generation. The variation shown here, <configuration>, understands Hibernate XML configuration files and reads all Hibernate XML mapping metadata files listed in the given configuration. From that information, an internal Hibernate metadata model (which is what hbm stands for everywhere) is produced, and this model data is then processed subsequently by exporters. We discuss tool configurations that can read annotations or a database for reverse engineering later in this chapter. The other element in the target is a so-called exporter. The tool configuration feeds its metadata information to the exporter you selected; in the preceding example, it s the <hbm2ddl> exporter. As you may have guessed, this exporter understands the Hibernate metadata model and produces SQL DDL. You can control the DDL generation with several options:

This generates output similar to this:

The exporter generates SQL, so it s mandatory that you set an SQL dialect in your Hibernate configuration file. If drop is set to true, SQL DROP statements will be generated first, and all tables and constraints are removed if they exist. If create is set to true, SQL CREATE statements are generated next, to create all tables and constraints. If you enable both options, you effectively drop and re-create the database schema on every run of the Ant target. If export is set to true, all DDL statements are directly executed in the database. The exporter opens a connection to the database using the connection settings found in your configuration file. If an outputfilename is present, all DDL statements are written to this file, and the file is saved in the destdir you configured. The delimiter character is appended to all SQL statements written to the file, and if format is enabled, all SQL statements are nicely indented.

echo: [echo] [echo] [echo] [echo] [echo] ant.file = C:\AntBook\Sections\Learning\datatypes\properties.xml ant.home = c:\AntBook\jakarta-ant-1.5Beta1 ant.java.version = 1.3 ant.version = Apache Ant version 1.5Beta1 compiled on April 30 2002 basedir = C:\AntBook\Sections\Learning\datatypes

You can now generate, print, and directly export the schema to a text file and the database by running ant schemaxport in your WORKDIR. All tables and constraints are dropped and then created again, and you have a fresh database ready. (Ignore any error message that says that a table couldn t be dropped because it didn t exist.)

In practice, an architecture that relies on the Command pattern works nicely. In the next section, we discuss how EJB 3.0 components can further simplify a layered application architecture.

This example was run with the -f command-line option to specify a different build file name as shown in ant.file. By the time of publication, many of us will probably see 1.4 for ant.java.version. The latest release version of Ant at the time of writing was version 1.5 Beta, but it will be an official release by the time of publication. The basedir property defaults to the path of the current build file, and can be changed by specifying basedir on the <project> element or controlled externally using property overrides as discussed shortly. Implicitly, all JVM system properties are provided as Ant properties, allowing valuable information such as the users home directory path and the current username to be utilized as desired. The JVM system properties will vary from platform-to-platform, but there are many that you can rely on, for example

We ve focused on the Java Persistence standard in this book and discussed only a few examples of other EJB 3.0 programming constructs. We wrote some EJB session beans, enabled container-managed transactions, and used container injection to get an EntityManager. There is much more to be discovered in the EJB 3.0 programming model. In the following sections, we show you how to simplify some of the previous patterns with EJB 3.0 components. However, we again only look at features that are relevant for a database application, so you need to refer to other documentation if you want to know more about timers, EJB interceptors, or message-driven EJBs. First you ll implement an action in a web application with a stateful session bean, a conversational controller. Then you ll simplify data-access objects by turning them into EJBs to get container-managed transactions and injection of dependencies. You ll also switch from any Hibernate interfaces to Java Persistence, to stay fully compatible with EJB 3.0. You start by implementing a conversation with EJB 3.0 components in a web application.

<echo message="user.name = ${user.name}"/> <echo message="user.home = ${user.home}"/> <echo message="java.home = ${java.home}"/>

A stateful session bean (SFSB) is the perfect controller for a potentially long-running conversation between the application and the user. You can write an SFSB that implements all the steps in a conversation for example, a PlaceItem conversation:

Here are sample results from running this code on a Windows machine:

1 2 3

[echo] user.name = erik [echo] user.home = C:\Documents and Settings\erik [echo] java.home = c:\jdk1.3.1\jre