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Date and time manipulation should not be taken lightly . Many important best practices related to working with date and time will help you ensure that your code runs correctly and efficiently . In this chapter I described such best practices and also covered querying problems related to date and time data . I also covered enhancements in SQL Server 2008 like new date- and time-related data types and new and enhanced functions .
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Since the advent of .NET integration in SQL Server 2005, you can create CLR-based User-Defined Types (UDTs) using a .NET language of your choice . Personally, I did not see many common language runtime (CLR) UDTs in production . I guess this is because DBAs are still somehow afraid of using CLR code in a relational database management system . My intention in this chapter is to show that CLR types can be useful . However, I am not dealing with practical issues only . The most important new feature in Microsoft SQL Server 2008 dealing with CLR UDTs is their size . In SQL Server 2005, CLR UDTs were limited to 8,000 bytes . In SQL Server 2008, you can create large objects (LOBs), up to 2 GB, using CLR UDTs . In this chapter, I am going to explain how you can create, deploy, and use a CLR UDT .
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Before showing you how to implement CLR UDTs, I would first like to give you some theoretical background . I want to discuss whether CLR types go beyond the relational model whether SQL Server is becoming an object or object-relational system . This knowledge should help you decide how to implement CLR UDTs properly . A common question these days is whether SQL Server, with all this CLR (and XML) support, has become an object-relational or even an object database management system . I will explain why I think this is not the case and that instead, SQL Server is becoming a more complete relational database management system .
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In object-oriented programming (OOP), the most important concept is a class used as a template for instantiating (creating) objects; objects are variables that physically live in computer memory . So what are the most important concepts in the relational world Note My views on this subject have been largely affected by the work of Chris J . Date and Hugh
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Darwen in their famous book Foundation for Object/Relational Databases: The Third Manifesto (Addison-Wesley Professional, 1998) .
Inside Microsoft SQL Server 2008: T-SQL Programming
Relational databases contain relations . Table 11-1 is an example of a typical Employees relation, which is physically represented in the database as a table .
TABLe 11-1
employees Relation
name: string
Fernando Alejandro Herbert Douglas
employeeid: posint
17 19 24 20
city: cityenum
Alicante Bogot Vienna Atlanta
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 . 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 . For example, the system could allow a multiplication operation between the attributes
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