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24. As I mentioned earlier in this chapter, snapshots are also referred to (at least in some circles) as materialized views. In my opinion, this terminology should be firmly resisted. A large part of the point about views, at least as far as the relational model is concerned, is precisely that they aren t materialized in other words, they re virtual and materialized view is simply a contradiction in terms.

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defined somewhere, and the variable has to be assigned properly somewhere And somewhere there is a cross-reference between the variable state and the calling of the initialization functionality One solution is to embed much of the initialization logic in the context of the DoInitialization function But the fact is that somewhere there is a variable, and somewhere there is an initialization function, and somewhere there is a cross-reference between the variable and initialization function So where you put the logic is irrelevant in a big picture sense Another solution is to think of the initialization functionality not as a decision, but as a state There is an initial state, which is to perform an initialization, and another state to perform no initialization In a sense, the didInitialize variable is a representation of the state Keeping that thought in mind, you know that JavaScript treats its functions as objects.

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The general form of the REFRESH clause is REFRESH EVERY <now and then> where <now and then> might be, for example, MONTH or WEEK or DAY or HOUR or n MINUTES or MONDAY or WEEKDAY (and so on). In particular, the specification REFRESH [ON] EVERY UPDATE means the snapshot is kept permanently in synch with the relvar(s) from which it is derived which is presumably just what we want, in the case of Example 12. Now, in this section so far I ve concentrated on Example 12 and derived data. However, the fact is that all forms of redundancy can be thought of as derived data: If x is redundant, then by definition x can be derived from something else in the database. (Limiting use of the term derived data to the kind of situation illustrated by Example 12 is thus misleading and not recommended.) It follows that the foregoing analysis in particular, the four different approaches to dealing with derived data can be generalized to apply to all kinds of redundancy, at least in principle. Note in particular that the third and fourth of those approaches, using views and snapshots respectively, both constitute examples of what s sometimes called controlled redundancy. Redundancy is said to be controlled if it does exist (and the user is aware of it), but the task of propagating updates to ensure that it never leads to any inconsistencies is managed by the system, not the user. Uncontrolled redundancy can be a problem, but controlled redundancy shouldn t be. In fact, I want to go further I want to say that while it s probably impossible, and possibly not even desirable, to eliminate redundancy one hundred percent, any redundancy that isn t eliminated ought at least to be controlled. We need support for snapshots!

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