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You can test the database state many ways. Obviously, you don t use a Hibernate query or Session operation for this purpose, because Hibernate is an additional layer between your test and the real database content. To ensure that you re really hitting the database and that you re seeing the state as is, we recommend that you use an SQL query. Hibernate makes it easy to execute an SQL query and to check the returned values. In the example, you open a Hibernate StatelessSession to create this SQL query. The database connection used in this query is in autocommit mode (hibernate.connection.autocommit set to true), because you don t start a transaction. This is the perfect use case for StatelessSession, because it deactivates any cache, any cascading, any interceptors, or anything that could interfere with your view on the database. Let s bring this all together in a TestNG test suite and an Ant target. Running the integration tests This is the XML test suite descriptor:
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<!DOCTYPE suite SYSTEM "http://testng.org/testng-1.0.dtd" > <suite name="CaveatEmptor" verbose="2"> <test name="PersistenceLayer"> <groups> <run><include name="integration-hibernate.*"/></run> </groups> <packages> <package name="auction.test.dbunit"/> </packages> </test> </suite>
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The logical test PersistenceLayer includes all test classes and test methods found in the package auction.test.dbunit, if their group name starts with integration-hibernate. This is also true for any TestNG configuration methods (those marked with @BeforeClass and so on), so you need to place any classes (the superclass, too) with configuration methods in the same package and add them to the same group. To run this test suite with Ant, replace the name of the XML suite descriptor in the Ant target you wrote in section 16.5.2, Creating and running a test suite. We ve only scratched the surface of TestNG and DBUnit in the previous examples. There are many more useful options; for example, you can parameterize test methods in TestNG with arbitrary settings in your suite descriptor. You can create
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a test assembly that starts an EJB 3.0 container server (see the code in chapter 2, section 2.2.3, Running the application and the EJB3IntegrationTest superclass in the CaveatEmptor download) and then test your EJB layers. We recommend the documentation of TestNG and DBUnit, respectively, as you start building out your testing environment from the base classes and with the strategies we ve shown. You may wonder how you can test mappings and queries, because we ve only discussed testing of object-state transitions. First, you can test mappings easily by setting hibernate.hbm2ddl.auto to validate. Hibernate then verifies the mappings by checking them against database catalog metadata when the SessionFactory is built. Second, testing queries is the same as testing object state transitions: Write integration test methods, and assert the state of the returned data. Finally, we consider load and stress testing, and which aspects you have to focus on if you want to test the performance of your system.
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16.5.4 Considering performance benchmarks
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One of the most difficult things in enterprise application development is guaranteeing performance and scalability of an application. Let s define these terms first. Performance is usually considered to be the reaction time of a request/responsebased application. If you click a button, you expect a response in half a second. Or, depending on the use case, you expect that a particular event (or batch operation) can be executed in a reasonable time frame. Naturally, reasonable depends on the case and usage patterns of some application functionality. Scalability is the ability of a system to perform reasonably under higher load. Imagine that instead of 1 person clicking 1 button, 5,000 people click a lot of buttons. The better the scalability of a system, the more concurrent users you can pack on it without performance degradation. We already had much to say about performance. Creating a system that performs well is, in our opinion, synonymous to creating a Hibernate/database application that has no obvious performance bottlenecks. A performance bottleneck can be anything you consider a programming mistake or bad design for example, the wrong fetching strategy, a wrong query, or bad handling of the Session and persistence context. Testing a system for reasonable performance is usually part of the acceptance tests. In practice, performance testing is often done by a dedicated group of end user testers in a lab environment, or with a closed user group in real-world conditions. Pure automated performance tests are rare.
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