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Table 15.1 shows a summary you can use to compare native Hibernate features and Java Persistence.
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Table 15.1 Hibernate and JPA comparison chart for chapter 15 Hibernate Core Hibernate supports a powerful Criteria and Example API for programmatic query generation. Hibernate has flexible mapping options for embedded and externalized SQL queries, with automatic marshaling of resultsets. Hibernate supports a collection filter API. Java Persistence and EJB 3.0 Some QBC and QBE API is expected in an upcoming version of the standard. Java Persistence standardizes SQL embedding and mapping and supports resultset marshaling.
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Java Persistence doesn t standardize a collection filter API. A Hibernate-specific query hint can be used to cache query results.
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Hibernate can cache query results.
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In the next chapter, we ll bring all the pieces together and focus on the design and architecture of applications with Hibernate, Java Persistence, and EJB 3.0 components. We ll also unit test a Hibernate application.
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This chapter covers
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Creating layered applications Managed components and services Strategies for integration testing
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Hibernate is intended to be used in just about any architectural scenario imaginable. Hibernate may run inside a servlet container; you can use it with web application framework like Struts, WebWork, or Tapestry, or inside an EJB container, or to manage persistent data in a Java Swing application. Even perhaps especially with all these options, it s often difficult to see exactly how Hibernate should be integrated into a particular Java-based architecture. Inevitably, you ll need to write infrastructural code to support your own application design. In this chapter, we describe common Java architectures and show how Hibernate can be integrated into each scenario. We discuss how you design and create layers in a typical request/response based web application, and how you separate code by functionality. After this, we introduce Java EE services and EJBs and show how managed components can make your life easier and reduce the infrastructure coding that would otherwise be necessary. Finally, we assume that you re also interested in testing your layered application, with or without managed components. Today, testing is one of the most important activities in a developer s work, and applying the right tools and strategies is essential for quick turnaround times and productivity (not to mention the quality of the software). We ll look at unit, functional, and integration testing with our current favorite testing framework, TestNG. Let s start with a typical web application example.
16.1 Hibernate in a web application
We emphasized the importance of disciplined application layering in chapter 1. Layering helps achieve separation of concerns, making code more readable by grouping code that does similar things. Layering, however, carries a price. Each extra layer increases the amount of code it takes to implement a simple piece of functionality and more code makes the functionality more difficult to change. In this section, we show you how to integrate Hibernate in a typical layered application. We assume that you want to write a simple web application with Java servlets. We need a simple use case of the CaveatEmptor application to demonstrate these ideas.
16.1.1 Introducing the use case
When a user places a bid on an item, CaveatEmptor must perform the following tasks, all in a single request:
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Check that the amount entered by the user is greater than the maximum amount of existing bids for the item. Check that the auction hasn t yet ended. Create a bid for the item. Inform the user of the outcome of the tasks.
2 3 4
If either checks fail, the user should be informed of the reason; if both checks are successful, the user should be informed that the bid has been placed. These checks are the business rules. If a failure occurs while accessing the database, users should be informed that the system is currently unavailable (an infrastructure concern). Let s see how you can implement this in a web application.
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