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View the index properties in Figure 2-20. Notice that the LastName column appears first in the list. To take full advantage of this index, the WHERE clause must filter on LastName. Imagine searching a phone book by searching for a first name when you do not know the last name! SQL Server must do the same thing, looking at each entry in the index, when the query filters on FirstName but not LastName.

' Display rows in data table For Each row As DataRow In dt.Rows Console.WriteLine( _ "{0} {1} {2}", _ row("firstname").ToString().PadRight(15), _ row("lastname").ToString().PadLeft(25), _ row("city")) Next

Constraining the values that can enter a table improves the ease of using a table by ensuring highquality data in a table. For example, by not allowing nulls into some or all columns of a table, your queries for a table do not have to account for the existence of null values. In addition, a PRIMARY KEY constraint for a column guarantees that you cannot have duplicate values in that column of a table. This section presents additional concepts and samples in three areas to help you manage the integrity of the data in your tables. First, you learn about CHECK constraints. This flexible type of constraint can set limits on what specific values and patterns for values are valid for a table. Second, this section presents the syntax and demonstrates solutions for creating constraints that are at the table level instead of being a part of the declaration for a single column. A table-level constraint allows you to manage your data across multiple columns within a table. The third and concluding topic for this section drills down on FOREIGN KEY constraints. Just as a primary key helps to manage data integrity for a single table, a foreign key facilitates the management of data integrity between a pair of tables.

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' ' Code for updating the database would come here ' Catch e As Exception ' Display error Console.WriteLine("Error: " & e.ToString) Finally ' Close connection conn.Close() End Try End Sub End Module

When you write a column CHECK constraint for a specific column, you can limit the range of values and pattern of values for that column The logic behind a CHECK constraint within a column is very simple A Boolean expression specifies a condition for the insertion of values in the column If the condition evaluates to True, the new value is valid If the condition evaluates to False, the new value is invalid Any table can have multiple CHECK constraints When the values in a row are valid for all constraints, SSE inserts the row in a table If one or more values within a row fail to pass a constraint, SSE issues an error message describing the problem for the first failed constraint The error message helps to guide users to refine their input so that it is valid for resubmitting to the table.

Figure 2-20. The properties of an index What happens when filtering on only a nonindexed column The database engine must check the value of the column in each row of the table to find the rows meeting the criteria. Again, I am not advocating creating an index on every column, and index creation and tuning are both well beyond the scope of this book. I just intend to make you aware that the indexes defined on the table will affect the performance of your queries.

Additional resubmittals may uncover other constraints for which the data are not valid There are two syntax conventions for adding a CHECK constraint to a column declaration in a CREATE TABLE statement The easiest way to add a CHECK constraint is to follow the CHECK keyword with a Boolean expression Insert the keyword and expression in the column declaration for which you want to constrain values With this approach, SSE assigns a default name for the constraint that appears in error messages A second approach to declaring a CHECK constraint within a column allows you to assign a custom name for a constraint that will appear in error messages A custom name will define the purpose for a constraint more precisely than the default name that SSE assigns Custom constraint names can make it easier for users to determine how to fix their input so that it is valid.

3. Make this the startup project, and run it with Ctrl+F5. You should see the result in Figure 8-6.

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