Chapter 2. Relations and Relvars
There’s nothing like a relation to do the business.
—with apologies to William Makepeace Thackeray: Vanity Fair (1847-1848)
In this chapter, I want to explain exactly what it means for data to “look relational,” as I put it in Chapter 1; in other words, I want to explain exactly what relations are (among other things). First, however, I need to remind you of something else I said in that chapter: namely, (a) that the relational model is, above all, precise; (b) that such precision requires precise or formal terminology; and (c) that such formal terminology can be a little daunting (indeed, it can act as a barrier to understanding). But the concepts the terminology refers to are really quite straightforward, once you’ve struggled through the formalism, and I hope you’re ready now to make the necessary effort.
Relations
Consider the suppliers-and-parts database once again (see Figure 2-1, a repeat of Figure 1-1 from Chapter 1). From a relational point of view, what I previously called the “files” or “tables” in that database are really relations. Now, a relation is a mathematical construct, and it has a very precise mathematical definition, which I’ll give at the very end of the chapter—but for the moment it’s sufficient to know that a relation can be thought of, and depicted, as a certain kind of table. Moreover, every relation consists of a heading and a body, where:
The heading consists of a set of attributes (represented as columns in those tabular ...
Get Relational Theory for Computer Professionals 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.