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In every row, you can find a proposition For example, the second row represents a proposition saying that an employee with an ID of 19 is named Alejandro and lives in Bogot , Colombia In the table s header, you can find the predicate for this proposition: an employee with ID employeeid (a positive integer) is named name (an arbitrary string) and lives in city (a value from cityenum, an enumeration of cities) The names posint, string, and cityenum in the table s header are the domains for the predicate s variables Domains limit the values of the propositions Because the domain of EmployeeID is the set of positive integers, an employee s ID cannot be lower than zero Within each row, the city must come from the city list cityenum Domains constrain the universe of discourse they constitute the things you can talk about .

// This is a local variable now (error) var names = { "Aidan", "Grant" };

Relations are sets of propositions the truths you utter about things With domains and relations, you can describe the whole subsystem of employees Therefore, domains and relations are necessary and sufficient to represent reality These are the most important concepts in the relational world I have to emphasize the constraining role of domains Propositions are assertions of fact, and databases are structured collections of propositions A database represents the world correctly if it is a collection of the true propositions about the world Data integrity is the assurance that data is consistent and in accordance with business rules Do please note that data integrity cannot guarantee that data is correct; no constraint can guarantee that the row (19, Alejandro, Bogot ) is in the table only if Alejandro truly lives in Bogot Constraints help you maintain data integrity .

However, you have to carefully choose the concepts on which integrity will be based Preferably, those concepts and their nature should be few in number and agreed upon Let me explain concepts for data integrity with an example Imagine that you have a domain called spouse You define a constraint for using this domain in a relation: a person can have one spouse only By defining such a constraint, you have already made a mistake, because some cultures and religions don t limit this association to a one-to-one relationship! Still, you can include many constraints for a domain The set of operators defined on a domain already constrain what you can do with values from that domain Whenever you try to manipulate the data, the system could check that the operands are of the correct types for the operation .

As you can see, this scenario produced minimal logging. A bit more logging is involved here (~10 MB) compared to what was needed for an empty B-tree (~1 MB) because more changes are required to balance the tree.

For example, the system could allow a multiplication operation between the attributes.

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Color[] colors = (Color[]) Enum.GetValues(typeof(Color)); Console.WriteLine("Number of symbols defined: " + colors.Length);

Summary

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private static void SomeMethod(String filename) { try { // Do whatevere here... } catch (IOException e) { // Add the filename to the IOException object e.Data.Add("Filename", filename); throw; } } // re-throw the same exception object that now has additional data in it

In the code above, objects of Circle may be serialized . However, the formatter will serialize the values in the object s m_radius field only . The value in the m_area field will not be serialized because it has the NonSerializedAttribute attribute applied to it . This attribute can be applied only to a type s fields, and it continues to apply to this field when inherited by another type . Of course, you may apply the NonSerializedAttribute attribute to multiple fields within a type . So, let s say that our code constructs a Circle object as follows:

C ha P ter 13 W eB a PP LI C a t I O N F r a M e W O r K S : r a I LS , S I N a t r a , a N D r a M a Z e

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