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As I ve already said, the relvar predicate for relvar R is the intended interpretation or meaning for R, and the relvar constraint for R can be regarded as the system s approximation to that predicate. Given that a database is supposed to be a faithful representation of the semantics of what might be called the microworld of interest, therefore, it follows that predicates and constraints are highly relevant to the business of database design predicates are the informal,3 and constraints the formal, representation of those semantics. Overall, then, the design process goes like this: 1. Pin down the relvar predicates as carefully as possible. 2. Map those predicates into relvars and constraints. As a consequence of the foregoing, we can see that another way to think about design theory normalization and so forth is as follows: It s a set of principles and techniques for helping with the business of pinning down predicates (and hence constraints). I ll have occasion to refer to this alternative perspective from time to time in what follows. Here for reference are the predicates for the relvars in the suppliers-and-parts database: Suppliers: Supplier S# is under contract, is named SNAME, has status STATUS, and is located in city CITY. Parts: Part P# is used in the enterprise, is named PNAME, has color COLOR and weight WEIGHT, and is stored in city CITY. Shipments: Supplier S# supplies QTY of part P#.

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Making statements about warranty, expressly or implied, unless it is a part of normal job duties. Effecting security breaches or disruptions of network communication. Security breaches include, but are not limited to, accessing data of which the employee is not an intended recipient or logging into a server or account that the employee is not expressly authorized to access, unless these duties are within the scope of regular duties. For purposes of this section, disruption includes, but is not limited to, network sniffing, pinged floods, packet spoofing, denial of service, and forged routing information for malicious purposes.

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We begin our description of TSQL2 by describing the basic data objects to be more specific, the various kinds of tables that TSQL2 supports ( tables in quotes because those tables are certainly not relational tables, as we will quickly see). Then, in subsequent sections, we can go on to explain various detailed aspects of TSQL2 in terms of those different kinds of tables. Before we can even start to describe those tables, however, we need to say a word about terminology. As previously stated, TSQL2 is designed as an extension to SQL specifically. As a result, we will frequently be forced to use SQL terminology instead of our own preferred terms, as documented in reference [6], in our explanations. However, we will do our best to stay with our preferred terms as much as possible certainly when we are talking about general concepts rather than TSQL2 specifics. Here then is a list of our preferred terms and their SQL or TSQL2 counterparts. Note that we do not say equivalents, because the SQL (or TSQL2) terms are mostly not exactly equivalent to their relational counterparts. For example, a tuple and a row are not the same thing, nor are an attribute and a column.

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Now that you have a basic understanding of how to use the Asynchronous class, let s look at the details of the Asynchronous implementation The class exposes a method for each HTTP verb, and in the example the get method corresponds to the HTTP verb GET The implementation of get is as follows: function HttpRequest_get(strurl) { thiscall({ action : "GET", url: strurl}); } In the implementation of HttpRequest_get, which is mapped to Asynchronousget, a reference to the function call is made The get function is a convenience method to the call method The call method accepts a single parameter: an object with specific data members In the case of the get method, the action and url data members are defined So why create an object, when you could have used two parameters, action and url, for the method call The answer is flexibility.

4. In spite of that withdrawal (and in support of our claim above that the TSQL2 proponents themselves seem reluctant to accept the arguments of reference [4]), we observe that (a) 12 of reference [15], published some three years later, continues to describe the TSQL2-based proposals as if they were part of SQL3, and (b) reference [1], published later still, continues to pursue the idea of statement modifiers, even though statement modifiers were one of the TSQL2 ideas that reference [4] showed to be fundamentally flawed (see later).

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