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The lines in this diagram represent all possibilities of the SELECT command, like a railroad map. You can deduce the following three syntax rules from Figure 2-1: The order of these six command components is fixed. The SELECT and FROM components are mandatory. The remaining components (WHERE, GROUP BY, HAVING, and ORDER BY) are optional.

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Feb 21, 2017 · The Crystal Reports Code-39 Native Barcode Generator is easily integrated into a report by copying, pasting and connecting the data source.

You ll also be able to see your secondmost important slides the light gray ones and your third-most important slides the white ones so that you can easily locate and hide them if you need to quickly scale down the presentation to a shorter amount of time These slides are the foundation for.

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One measure of programming complexity is the number of mental objects you have to keep in mind simultaneously in order to understand a program. This mental juggling act is one of the most difficult aspects of programming and is the reason programming requires more concentration than other activities. It s the reason programmers get upset about quick interruptions such interruptions are tantamount to asking a juggler to keep three balls in the air and hold your groceries at the same time. Intuitively, the complexity of a program would seem to largely determine the amount of effort required to understand it. Tom McCabe published an influential paper arguing that a program s complexity is defined by its control flow (1976). Other researchers have identified factors other than McCabe s cyclomatic complexity metric (such as the number of variables used in a routine), but they agree that control flow is at least one of the largest contributors to complexity, if not the largest.

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Computer-science researchers have been aware of the importance of complexity for at least two decades. Many years ago, Edsger Dijkstra cautioned against the hazards of complexity: The competent programmer is fully aware of the strictly limited size of his own skull; therefore he approaches the programming task in full humility (Dijkstra 1972). This does not imply that you should increase the capacity of your skull to deal with enormous complexity. It implies that you can never deal with enormous complexity and must take steps to reduce it wherever possible. Control-flow complexity is important because it has been correlated with low reliability and frequent errors (McCabe 1976, Shen et al. 1985). William T. Ward reported a significant gain in software reliability resulting from using McCabe s complexity metric at Hewlett-Packard (1989b). McCabe s metric was used on one 77,000-line program to identify problem areas. The program had a post-release defect rate of 0.31 defects per thousand lines of code. A 125,000line program had a post-release defect rate of 0.02 defects per thousand lines of code. Ward reported that because of their lower complexity both programs had substantially fewer defects than other programs at Hewlett-Packard. My own company, Construx Software, has experienced similar results using complexity measures to identify problematic routines in the 2000s.

Table 2-1 gives a high-level description of the roles of these six components of the SELECT command. Table 2-1. The Six Main Components of the SELECT Command

You can better deal with complexity in one of two ways. First, you can improve your own mental juggling abilities by doing mental exercises. But programming itself is usually enough exercise, and people seem to have trouble juggling more than about five to nine mental entities (Miller 1956). The potential for improvement is small. Second, you can decrease the complexity of your programs and the amount of concentration required to understand them.

approach described here is based on Tom McCabe s influential paper A Complexity Measure (1976).

Which table(s) is (are) needed for retrieval What is the condition to filter the rows How should the rows be grouped/aggregated What is the condition to filter the aggregated groups Which columns do you want to see in the result In which order do you want to see the resulting rows

You probably have an intuitive feel for what makes a routine more or less complex. Researchers have tried to formalize their intuitive feelings and have come up with several ways of measuring complexity. Perhaps the most influential of the numeric techniques is Tom McCabe s, in which complexity is measured by counting the number of decision points in a routine. Table 19-2 describes a method for counting decision points.

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