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CHAPTER 15 TWELVE RULES FOR BUSINESS RULES
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10. Platform Independence: The rule engine provides independence of hardware and software platforms. It also provides independence of the overall system architecture, by assigning compiled code to available processors appropriately. Applications can span backend subsystems (possibly preexisting ones). 11. No Subversion: The database cannot be accessed below the conceptual level in such a way as to subvert the system. 12. Full Automation: The rule engine supports the development of entire integrated application systems.
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Acknowledgments
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Thanks to Manish Chandra, Hugh Darwen, Mike DeVries, Val Huber, Gary Morgenthaler, Ron Ross, and Gene Wong for helpful comments on earlier drafts of this chapter and other technical assistance.
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References
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1. C. J. Date: An Introduction to Database Systems (8th edition). Reading, Mass.: Addison-Wesley (2004). 2. C. J. Date and Hugh Darwen: Databases, Types, and the Relational Model: The Third Manifesto (3rd edition). Boston, Mass.: Addison-Wesley (2006). 3. GUIDE Business Rules Project: Final Report, revision 1.2 (October 1997). 4. James D. McCawley: Everything that Linguists Have Always Wanted to Know about Logic (but were ashamed to ask). Chicago, Ill.: University of Chicago Press (1981).
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PART 4
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SQL Database Management
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This part of the book consists of three chapters. 16 highlights some of the
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complexities surrounding the SQL UNION operator. 17 has to do with a question of SQL subquery optimization; in particular, it shows how that question illustrates the logical difference between model and implementation. Finally, 18 discusses, and criticizes, three- and four-valued logic (the discussions of that chapter thus do apply to SQL to some extent, but are in fact more general).
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Two Remarks on SQL s UNION
A
little while back I published a paper on left-to-right column ordering ( A Sweet Disorder 9 in the present book). The basic message of that paper was that a. SQL includes such a notion but the relational model doesn t, and therefore b. SQL runs into a lot of complications that the relational model doesn t. Part of my argument had to do with the UNION operator, which is much more complicated in SQL than it ought to be, in part because of that business of column ordering (see 9 for the specifics). In the course of examining the SQL UNION operator, however, I realized there were some additional complications involved, ones that didn t arise from column ordering as such and so didn t belong in the earlier paper, but ones I felt were still worth documenting somewhere. Hence this short chapter. The complications in question arise from two sources: the fact that SQL permits implicit data type conversions (also known as coercions), and the fact that SQL permits duplicate rows. I ll discuss each in turn. Note: I focus here on UNION for definiteness. As I m sure you would expect, however, similar complications arise with the operators INTERSECT and MINUS EXCEPT in SQL as well.
Union in the Relational Model
For purposes of reference, I give first a definition of the relational UNION operator: Let tables a and b be of the same type TT. Then the union of those two tables, a UNION b, is a table of the same type TT, with body consisting of all rows r such that r appears in a or b or both. (Of course, a and b here aren t necessarily base tables; they might, for example, be the results of previous queries.) This definition is based on one given in the 8th edition of my book An Introduction to Database Systems (Addison-Wesley, 2004). The body of a table is the set of rows in that table. Figure 16-1 shows a trivial example of two tables, T1 and T2, together with their union. I ve assumed for simplicity that all columns are of type INTEGER. Observe in particular that the union in this example has four rows, not five (because duplicates are eliminated ).
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