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SQL and Objects
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Messages and methods Objects communicate with one another by sending and receiving messages. When it receives a message, an object responds by executing a method, a program stored within the object that determines how it processes the message. Thus, an object includes a set of behaviors described by its methods. Usually, an object shares many of the same methods with other objects in higherlevel classes. Encapsulation The internal structure and data of objects is hidden from the outside world (encapsulated) behind a limited set of well-defined interfaces. The only way to find out about an object, or to act on it, is through its methods, whose functions and behaviors are clearly specified. This makes the object more predictable and limits the opportunities for accidental data corruption. Object identity Objects can be distinguished from one another through unique object identifiers, usually implemented as an abstract pointer known as an object handle. Handles are frequently used to represent relationships among objects; an object points to a related object by storing the object s handle as one of its data items (attributes). These principles and techniques make object-oriented databases well suited to applications involving complex data types, such as computer-aided design or compound documents that combine text, graphics, and spreadsheets. The database provides a natural way to represent the hierarchies that occur in complex data. For example, an entire document can be represented as a single object, composed of smaller objects (sections), composed of still smaller objects (paragraphs, graphs, etc.). The class hierarchy allows the database to track the type of each object in the document (paragraphs, charts, illustrations, titles, footnotes, etc.). Finally, the message mechanism offers natural support for a GUI. The application program can send a draw yourself message to each part of the document, asking it to draw itself on the screen. If the user changes the shape of the window displaying the document, the application program can respond by sending a resize yourself message to each document part, and so on. Each object in the document bears responsibility for its own display, so new objects can easily be added to the document architecture.
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Pros and Cons of Object-Oriented Databases
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Object-oriented databases have stirred up a storm of controversy in the database community. Proponents say that object databases are essential to create a proper match between the programming and database data models. They say that the rigid, fixed, row/ column structure of relational tables is a holdover from the punch-card era of data processing with its fixed data fields and record orientation. A more flexible model, where classes of objects can be similar to one another (that is, share certain attributes) but also different from one another is essential, they say, to effectively model real-world situations. Another assertion is that the multitable joins that are an integral part of the relational data model inherently create database overhead and make relational technology unsuitable for the ever-increasing performance demands of today s applications. Finally, since objects are well-established as the in-memory data model for modern programs, the proponents say that the only natural data model is one that transparently extends the in-memory model to permanent, shared, disk-based, multiuser storage.
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PART VI
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Part VI:
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Opponents of object-oriented databases are just as adamant, saying that object-oriented databases are unnecessary and offer no real, substantive advantages over the relational model. They say that the handles of object-oriented databases are nothing more than the embedded database pointers of prerelational hierarchical and network databases, recycled with different names. They point out that, like these earlier database technologies, the object-oriented databases lack the strong underlying mathematical theory that forms the basis of relational databases. They add that the lack of object database standards and the absence of a standardized query language like SQL are reflections of this deficiency, and have prevented the development of vendor-independent tools and applications that have been essential to the development of the database industry. In response to claims of inferior performance, they point to the use of relational technology in some of the most performance-demanding enterprise applications. They also are careful to draw a distinction between the external relational model of data and the underlying implementation, which may well contain embedded pointers for performance acceleration. Finally, they say that any mismatch between object-oriented programming and relational databases can be addressed by technologies like JDBC and other object-torelational interfaces.
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