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SELECT * FROM Customers WHERE First_Name = 'Jake' AND Last_Name = 'Smith';

In the createRow function, we can get an object corresponding to table1:

Issuing the query produces the query execution plan found in the figure 2 query execution plan for listing 4. The plan is identical to the prior example in which the WHERE clause listed the columns in order.

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In the prior example, we supplied values in the WHERE clause for both columns defined in the ix_Customer_Name index. The index is based on Last_Name, First_Name, and our query limited the results by providing a value for the Last_Name column and for the First_Name column. Although this makes intuitive sense, a composite index s usefulness is not limited to only those instances where this is true. SQL Server can use a composite index when only some of the index s columns are provided. For example, consider the query depicted in listing 5.

<script language="javascript"> function createRow() { var table1 = documentgetElementById("table1"); } </script>

SELECT Last_Name ,First_Name ,Email_Address FROM Customers WHERE Last_Name = 'Smith';

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This query is similar to our prior example; however, notice that the WHERE clause now specifies only a Last_Name of Smith. We want to find all Smiths in our Customers table. Looking at the query execution plan in figure 3 for the query specified in listing 5, we see that SQL Server did indeed use the ix_Customer_Name composite index. It

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performed an Index Seek operation to find the rows that satisfied the query. Then a Key Lookup operation was used to retrieve the non-indexed column information for each row that satisfied the query. Returning to our telephone book analogy, we can see why this index was deemed efficient by the Query Optimizer. To find all of the Smiths in the telephone book, we d navigate to the page that contains the first Smith and keep moving forward until we found the entry after Smith. SQL Server resolved the query in a similar manner using the ix_Customer_Name index.

Then we call the table object s insertRow method to insert a new row into the table this method returns the new row object so that we can work with it, adding cells to the row:

The prior demonstration proved that SQL Server can use a composite index even though only some of the columns of the index are specified in the WHERE clause. But does it matter which columns are specified To find out, let s consider another example. In this example, we ll change what we are specifying in our search criteria. We ll no longer look for all Customers with a last name of Smith. Instead, we ll search for all Customers with a first name of Jake. Listing 6 shows our new query.

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Customers WHERE First_Name = 'Jake';

<script language="javascript"> function createRow() { var table1 = documentgetElementById("table1"); var newRow = table1insertRow(3); } </script>

When we run this query in SQL Server Management Studio and examine the query execution plan shown in figure 4, we can see that SQL Server no longer is able to use an Index Seek operation to specifically locate the rows that satisfy the query Instead it must resort to an Index Scan operation Why is that Let s consider our telephone book analogy again How useful would the telephone book be if you need to find everyone with a first name of Jake Not very You d have to start on the first page of the book and look through every entry to see if the person s first name is Jake Why Because the telephone book is not organized by first name; it s organized by last name, first name The same holds true for SQL Server.

Note that we re inserting row 3 here because the table already has three rows that is, rows 0, 1, and 2 Now we ve got a new row object to work with, and we ll do that by adding cells to it with the row object s insertCell method Each row in the table has four cells, cells 0, 1, 2, and 3 You can add cell 0 to the newly created row this way:

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