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If you look back at the programs we ve worked on so far, you ll notice that all of them are linear: the program is interpreted a piece at a time, jumping for function calls and ending when there is no more code to be interpreted Take a look at the following code, for example: var sum = function(num1, num2){ return num1 + num2; }; sum(2, 3); The interpreter first executes our function expression, setting the value of the sum variable as a function that takes two arguments and adds them Then, the interpreter executes the invocation sum(2, 3), calling the sum function to add the two values and then returning the result After the last line, our program is done: there is no more code to be interpreted, and our program therefore exits and finishes execution.

new AdventureWorksDataContext by using one of the new features in .NET 3.0: the var keyword. The var keyword defines a strongly typed compile-time variable reference; simply stated, the type casting is handled by the CLR instead of by you, so it is inferred at compile time. Along with using the new var keyword, you are also querying the database by using LINQ. In this example, we are taking advantage of the powerful query functionality in LTS by using the associations from each table. What this means to you is that you don t have to handwrite join statements because the association is a representation of an entity object. For example, the EmployeeDepartmentHistories entity has an association to Employee, which in turn has an association to Contact, which contains the LastName property that you want to query against. This type of iteration over association is as easy as typing the dot on your entity and finding the appropriate object. Listing 3-8. Basic Query Using LTS // Validate there is something to query with if(txtLastName.Text.Trim().Length == 0) { MessageBox.Show("Enter a last name!"); } else { try { // Create new database context AdventureWorksDataContext db = new AdventureWorksDataContext(); // Use a variant to hold the EmployeeDepartmentHistories // Use LINQ to query the database, passing in the last name var DepartmentHistories = from dep in db.EmployeeDepartmentHistories where dep.Employee.Contact.LastName == txtLastName.Text select dep; // Loop through the values and display in the list box foreach (EmployeeDepartmentHistory edh in DepartmentHistories) { StringBuilder sb = new StringBuilder(edh.Employee.Contact.FirstName); sb.Append("\t"); sb.Append(edh.Employee.Contact.LastName); sb.Append("\t"); sb.Append(edh.Department.Name); sb.Append("\t"); sb.Append(edh.Employee.VacationHours.ToString()); lstResults.Items.Add(sb.ToString()); } }

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The standard acknowledges the benefits of early warning of obsolescence. Notice should be given in a timely manner: it is considered that a notice period of one major version is a minimum.

While there are hundreds of simple programs like this, most programs aren t so linear Most user applications, such as word processors or painting programs, never really exit In fact, barring crashes or explicitly closing the program, most applications will run continuously This behavior is different from the programs we ve seen thus far, which exit as soon as they re done with all their instructions Like that bunny on TV, those applications just keep going and going But how exactly do these applications keep themselves from exiting We know that programs exit naturally when there are no more instructions to interpret No matter how long our programs are, there still comes a point when the interpreter will run out of instructions and exit, so the length of code isn t what s keeping these applications alive.

In this section we turn our attention to another aspect of code development that is controlled by code policy: code style.

I have often been asked what criteria I like to use when evaluating an ORM tool Because the primary focus of this text is VS 2008, I ve decided to outline all the features I look for, and then discuss if and how LINQ to SQL and EF implement them In 12, I present some nonMicrosoft commercial ORM tools and use the items in this list to help evaluate their usability Object-to-database mapping: This is the single most important aspect of an ORM tool An ORM tool must have the ability to map business objects to back-end database tables via some sort of metadata mapping This is fundamentally the core of object-relational mapping (and yes, LINQ to SQL and EF support mapping business objects to database tables with metadata) Object caching: As the name indicates, this functionality enables object/data caching to improve performance in the persistence layer.

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