Chapter 1. An Initial Tour

Java is a language that defines a runtime environment in which user-defined classes execute. Instances of these user-defined classes may represent real-world data that is stored in a database, filesystem, or mainframe transaction processing system. Additionally, small-footprint environments often require a means of managing persistent data in local storage.

Because data-access techniques are different for each type of data source, accessing the data presents a challenge to application developers, who need to use a different application programming interface (API) for each type of data source. This means that you need to know at least two languages to develop business logic for these data sources: the Java programming language and the specialized data-access language required by the data source. The data-access language is likely to be different for each data source, driving up the costs to learn and use each data source.

Prior to the release of Java Data Objects (JDO), three standards existed for storing Java data: serialization, Java DataBase Connectivity (JDBC), and Enterprise JavaBeans (EJB) Container Managed Persistence (CMP). Serialization is used to write the state of an object, and the graph of objects it references, to an output stream. It preserves the relationships of Java objects such that the complete graph can be reconstructed at a later point in time. But serialization does not support transactions, queries, or the sharing of data among multiple users. It allows access only at the granularity of the original serialization and becomes cumbersome when the application needs to manage multiple serializations. Serialization is only used for persistence in the simplest of applications or in embedded environments that cannot support a database effectively.

JDBC requires you to manage the values of fields explicitly and map them into relational database tables. The developer is forced to deal with two very different data-model, language, and data-access paradigms: Java and SQL’s relational data model. The development effort to implement your own mapping between the relational data model and your Java object model is so great that most developers never define an object model for their data; they simply write procedural Java code to manipulate the tables of the underlying relational database. The end result is that they are not benefiting from the advantages of object-oriented development.

The EJB component architecture is designed to support distributed object computing. It also includes support for persistence through Container Managed Persistence (CMP). Largely due to their distributed capabilities, EJB applications are more complex and have more overhead than JDO. However, JDO has been designed so that implementations can provide persistence support in an EJB environment by integrating with EJB containers. If your application needs object persistence, but does not need distributed object capabilities, you can use JDO instead of EJB components. The most popular use of JDO in an EJB environment is to have EJB session beans directly manage JDO objects, avoiding the use of Entity Beans. EJB components must be run in a managed, application-server environment. But JDO applications can be run in either managed or nonmanaged environments, providing you with the flexibility to choose the most appropriate environment to run your application.

You can develop applications more productively if you can focus on designing Java object models and using JDO to store instances of your classes directly. You need to deal with only a single information model. JDBC requires you to understand the relational model and the SQL language. When using EJB CMP, you are also forced to learn and deal with many other aspects of its architecture. It also has modeling limitations not present in JDO.

JDO specifies the contracts between your persistent classes and the JDO runtime environment. JDO is engineered to support a wide variety of data sources, including sources that are not commonly considered databases. We therefore use the term datastore to refer to any underlying data source that you access with JDO.

This chapter explores some of JDO’s basic capabilities, by examining a small application developed by a fictitious company called Media Mania, Inc. They rent and sell various forms of entertainment media in stores located throughout the United States. Their stores have kiosks that provide information about movies and the actors in those movies. This information is made available to the customers and store staff to help select merchandise that will be of interest to the customers.

Get Java Data Objects now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.