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The Anatomy of a Database System
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ave you ever wondered what goes on inside a database system While you may know the basics of a relational database system (RDBS) and be an expert at administering the system, you may have never explored the inner workings of a database system. Most of us have been trained on and have experience with managing database systems, but neither academic nor professional training includes much about the way database systems are constructed. A database professional may never need this knowledge, but it is good to know how the system works so that you can understand how best to optimize your server and even how best to utilize its features. This chapter covers the basics of the subsystems that RDBSs contain and how they are constructed. I use the anatomy of the MySQL system to illustrate the key components of modern RDBSs. For those of you who have studied the inner workings of such systems and want to jump ahead to a look at the architecture of MySQL, you can skip the next section.
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Although understanding the inner workings of an RDBS isn t necessary for hosting databases or even maintaining the server or developing applications that use the system, knowing how the system is organized is essential to being able to modify and extend its features. It is also important to grasp the basic principles of the most popular database systems to understand how these systems compare to an RDBS.
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Types of Database Systems
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Most database professionals work with RDBSs, but several others are becoming popular. The following sections present a brief overview of the three most popular types of database systems: object-oriented, object-relational, and relational. It is important to understand the architectures and general features of these systems to fully appreciate the opportunity that MySQL AB has provided by developing MySQL as open source software and exposing the source code for the system to everyone. This permits me to show you what s going on inside the box. If you are familiar with these types of database systems, you can skip to the Relational Database System Architecture section.
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Object-oriented database systems (OODBSs) are storage and retrieval mechanisms that support the object-oriented programming (OOP) paradigm through direct manipulation of the data as objects. They contain true object-oriented (OO) type systems that permit objects to persist between applications and usage. However, most lack a standard query language1 (access to the data is typically via a programming interface) and therefore are not true database management systems. OODBSs are an attractive alternative to RDBSs, especially in application areas where the modeling power or performance of RDBSs to store data as objects in tables is insufficient. These applications maintain large amounts of data that is never deleted, thereby managing the history of individual objects. The most unique feature of OODBSs is to provide support for complex objects by specifying both the structure and the operations that can be applied to these objects via an OOP interface. OODBSs are particularly suitable for modeling the real world as closely as possible without forcing unnatural relationships between and within entities. The philosophy of object orientation offers a holistic as well as a modeling-oriented view of the real world. These views are necessary for dealing with an elusive subject like modeling temporal change, particularly in adding OO features to structured data. Despite the general availability of numerous open source OODBSs, most are based in part on relational systems that support query language interfaces and therefore are not truly OODBSs; rather, they operate more like relational databases with OO interfaces. A true OODBS requires access via a programming interface. Application areas of OO database systems include geographical information systems (GISs), scientific and statistical databases, multimedia systems, picture archiving and communications systems, and XML warehouses. The greatest adaptability of the OODBS is the tailoring of the data (or objects) and its behavior (or methods). Most OODBS system integrators rely on OO methods for describing data and build their solutions with that expressiveness in the design. Thus, object-oriented database systems are built with specific implementations and are not intended to be general purpose or generalized to have statement response-type interfaces like RDBSs.
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