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Data integrity is concerned with defining and protecting relationships within and between tables. There are four general types: domain integrity, entity integrity, referential integrity, and user-defined integrity. Domain integrity involves controlling values within columns. Entity integrity involves controlling rows in tables. Referential integrity involves controlling rows between tables specifically foreign key relationships. And user-defined integrity is a catchall for everything else. Data integrity is implemented using constraints. A constraint is a control measure used to restrict the values that can be stored in a column or columns. Going by just the values in columns, the database can enforce all four types of integrity constraints. In SQLite, constraints also include support for conflict resolution. Conflict resolution is covered in detail later in this chapter. Let s deviate from our foods database for a moment and focus on the same contacts table introduced in 3. The contacts table is defined as follows: create table contacts ( id integer primary key, name text not null collate nocase, phone text not null default 'UNKNOWN', unique (name,phone) ); As you know by now, constraints are part of a table s definition. They can be associated with a column definition or defined independently in the body of the table definition. Column-level constraints include not null, unique, primary key, foreign key, check, and collate. Table-level constraints include primary key, unique, and check. All of these constraints are covered in the following sections according to their respective integrity types.

Session-based security: Session-based security support uses an on-demand session key to provide encryption and digital signatures This mode closely follows the approach taken by the WS-Secure Conversation specification, which is discussed in detail in 7 2 Message-based security: This provides for reliable messaging scenarios where the receiver may not be online at the time that the message is received Message-based security ensures that message integrity and security are provided during asynchronous communication between a sender and a receiver 3 Transport-level security: This uses a direct security protocol such as Secure Sockets Layer (SSL) that automatically provides message encryption and signatures based on digital certificates As with the WCF service model, WSE 30 and today s ASP NET Web services clearly prepare you for working with the future WCF connector Make sure that you understand the concepts that are presented in 2 on the WSDL document.

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Per-type rules must be accessible to all instances of the business object type. Normally, per-type rule methods are Shared, so they are always available to any object instance. It is also possible to implement per-type rule methods as instance methods of a global Singleton object, though this is a more complex technique and offers no clear benefit over the simpler Shared method approach. In this book, I implement Shared rule methods and recommend that approach. Per-instance rule methods need to be accessible only to the specific object instance where they are used. Normally, they are implemented as Private instance methods in the business class, although they can also be Shared methods. I won t use any per-instance rules in this book, and I recommend against their use. Given this basic background on per-type and per-instance rule methods, I ll now discuss the business and validation subsystem in CSLA .NET, starting with a deeper exploration of rule methods and how you implement them.

The Csla.Validation namespace contains types that assist the business developer in implementing and enforcing business rules. This includes managing a list of business rules for each of the object s properties and maintaining a list of currently broken business rules. Obviously, the framework can t implement the actual business rules and validation code that will vary from application to application. However, business rules follow a very specific pattern in that they are either broken or not. The result of a rule being checked is a Boolean value and a humanreadable description of why the rule is broken. This makes it possible to check the rules and then maintain a list of broken rules, including human-readable descriptions of each rule.

Now that you have familiarity with the update, insert, and delete commands in SQLite, the operation of many of the constraints will make sense. Just as these commands operate on data, constraints operate on them, making sure that they work within the guidelines defined in the tables they modify.

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