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We learned about tasks in the previous chapter when we discussed how to get the most out of NAnt. Before we look at the specific tasks we are interested in, let us define in detail what a task is. A task is an XML tag inside a NAnt build file that instructs the NAnt executable to perform a specific action. For example, you may recognize the following: <echo message="I am an example of a task"/> This task tells NAnt to echo the message to the listener/logger a very simple example. We will look at the internals of task construction when we need to build our own task in 7. For now, it is important to recognize the features of a task. First, each task has a specific tag name rather than an attribute to describe its function (for example, we do not use <task type="echo"/>). Second, tasks are customized in two ways: by using attributes and by using nested elements. Let us briefly consider these features.



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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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Most tasks have individual attributes to provide the level of customization necessary for the specific task. By way of comparison, take a look at the <echo> and <mkiisdir> tasks. Each task has some standard attributes, which are listed in the individual task documentation. We can also see what those tasks are by using Reflector to examine the source code of nant.core.dll. All tasks for NAnt inherit from the Task abstract class. By reflecting over the Task class we can see the code signatures shown in Figure 3-1.

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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.

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