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UNIQUE is yet another kind of constraint that can be applied to table columns. This constraint is similar to the PRIMARY KEY constraint because it doesn t allow duplicate data in a column. Still, there are differences. Although there is only one PRIMARY KEY constraint per table, you are allowed to have as many UNIQUE constraints as you like. Columns with the UNIQUE constraint are useful when you already have a primary key, but you still have columns for which you want to have unique values. You can set Name to be unique in the Department table if you want to forbid repeating values, when the DepartmentID column is the primary key. (We won t use the UNIQUE constraint in this book, but we mention it here for completeness.) We decided to allow identical department names because only site administrators will have the privileges to modify or change department data. The facts that you need to remember about UNIQUE constraints are The UNIQUE constraint forbids having identical values on the field. You can have more than one UNIQUE field in a data table. Unlike with primary keys, a UNIQUE constraint can t apply to more than one field.





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A UNIQUE field is allowed to accept NULL values, in which case it can only accept one NULL value. Indexes are automatically created on UNIQUE and PRIMARY KEY columns.

Listing 11-1. EmployeeDetails Class [Serializable] public class EmployeeDetails { private int intID; private string strFName; private string strLName; private string strHPhone; private string strNotes; public int EmployeeID { get { return intID; } set { intID = value; } } public string FirstName { get { return strFName; } set { strFName = value; } } public string LastName { get { return strLName; } set { strLName = value; } }





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Google Calendar is a third-party gadget you will be adding to your blog, as it does not currently exist on the list of gadgets when you click Add a Gadget from within Blogger. 1. 2. 3. 4. 5. Go to google.calendar.com. If necessary, re-enter your Google Account password and sign in, and the Welcome to Google Calendar screen is displayed. Enter your First Name, Last Name, Location, and Time Zone. Click Continue. On the next screen you ll see your calendar (see Figure 3-8).

Each column in a table has a particular data type. By looking at the previously shown Figure 4-8 with the Department table, it s clear that DepartmentID has a numeric data type, whereas Name and Description contain text. It s important to consider the many data types that SQL Server supports so that you can make correct decisions concerning how to create your tables. Table 4-1 isn t an exhaustive list of SQL Server data types, but it focuses on the main types you might come across in your project. Refer to SQL Server 2008 Books Online, which can be freely accessed and downloaded from http://msdn.microsoft.com/sql, for a more detailed list.

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public string HomePhone { get { return strHPhone; } set { strHPhone = value; } } public string Notes { get { return strNotes; } set { strNotes = value; } } } The EmployeeDetails class consists of five private variables for storing the employee ID, first name, last name, home phone, and notes. These private variables are wrapped in respective public properties: EmployeeID, FirstName, LastName, HomePhone, and Notes. The important thing to notice about this class is that it is marked with the [Serializable] attribute. The [Serializable] attribute is necessary so that the objects of the EmployeeDetails class can be serialized over the wire. In other words, the EmployeeDetails class is a marshal-by-value type. Listing 11-2 shows the complete Employee class. Listing 11-2. Employee Class public class Employee:MarshalByRefObject { public Employee() { Console.WriteLine("Inside Employee Constructor..."); } public EmployeeDetails GetEmployee(int empid)

Note Table 4-1 was created with SQL Server 2008 in mind, but these data types exist in older versions of

SQL Server as well. The differences between SQL Server versions are reflected in details such as the maximum size for character data.

{ string strConn = @"data source=.\sqlexpress;initial catalog=northwind;integrated security=true"; EmployeeDetails emp = new EmployeeDetails(); SqlConnection cnn = new SqlConnection(strConn); SqlCommand cmd = new SqlCommand("SELECT employeeid,firstname,lastname,homephone,notes FROM employees WHERE employeeid=@id", cnn); SqlParameter p = new SqlParameter("@id", empid); cmd.Parameters.Add(p); cnn.Open(); SqlDataReader reader = cmd.ExecuteReader(); while (reader.Read()) { emp.EmployeeID = reader.GetInt32(0); emp.FirstName = reader.GetString(1); emp.LastName = reader.GetString(2); emp.HomePhone = reader.GetString(3); emp.Notes = reader.GetString(4); } reader.Close(); cnn.Close(); return emp; } }

To keep Table 4-1 short, under the Data Type heading we ve listed only the most frequently used types, while similar data types are explained under the Description and Notes heading. You don t need to memorize the list, but you should get an idea of which data types are available.

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