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Brad M. McGehee is an MCSE+I, MCSD, and MCT (former) with a bachelor's degree in Economics and a master's in Business Administration. Involved in the industry since 1982, Brad is currently the Director of DBA Education for Red Gate Software, and is an accomplished Microsoft SQL Server MVP with over 14 years of experience with SQL Server and over 6 years of training experience. Brad is a frequent speaker at SQL PASS, European PASS, SQL Connections, SQLTeach, SQLBits, SQL Saturdays, TechFests, Code Camps, SQL Server user groups, and other industry seminars. He blogs at www.bradmcgehee.com.

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A single column index is straightforward. You may have heard it compared to the index in the back of a technical book. To find information in the book, say you want to learn more about how DBCC INPUTBUFFER is used, you look up DBCC INPUTBUFFER in the index. The index doesn t contain the information on DBCC INPUTBUFFER; it has a pointer to the page where the command is described. You turn to that page and read about it. This is a good analogy for a single column, nonclustered index. In Microsoft SQL Server, you can also create an index that contains more than one column. This is known as a composite index. A good analogy for a composite index is the telephone book.

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(Or x = number of children s tickets and 450 x number of adult tickets) x 9 Retail selling price 1 x 3 4x 3x 4x 3x x x x Sale price x or 4 4 4 4 4 4 4 10 Length of the longest piece (in the given units) Length of the shortest piece (in the given units) Length of the mid-length piece (in the given units) x

A telephone book lists every individual in the local area who has a publicly available telephone number. It s organized not by one column, but by two: last name and first name (ignoring the middle name that is sometimes listed but most often treated as an extension of the person s first name). To look up someone in the telephone book, you first navigate to the last name and then the first name. For example, to find Jake Smith, you first locate the Smiths. Then within the Smiths, you find Jake. SQL Server can use composite indexes in a similar manner. Composite indexes contain more than 1 column and can reference up to 16 columns from a single table or view. The columns that compose a composite index can contain up to a combined 900 bytes. Let s consider some examples. Assume you have a Customers table as described in listing 1.

8:

CREATE TABLE Customers ( Customer_ID INT NOT NULL IDENTITY(1,1) ,Last_Name VARCHAR(20) NOT NULL ,First_Name VARCHAR(20) NOT NULL ,Email_Address VARCHAR(50) NULL );

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The Customers table has a clustered index on Customer_ID and a nonclustered composite index on the Last_Name, First_Name. These are expressed in listing 2.

3 6x 1 x 1 1 a b c d 2 2 x 2x 7x 2 Rewrite as a product of a number and a variable: 15 7 7 1 7 7 x b c x d x a 15 15 x 15 15 1 Reduce to lowest terms: 3 x 1 4 3 x 1 a 12

CREATE CLUSTERED INDEX ix_Customer_ID ON Customers(Customer_ID); CREATE INDEX ix_Customer_Name ON Customers(Last_Name, First_Name);

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When we issue a query to SQL Server that retrieves data from the Customers table, the SQL Server query optimizer will consider the various retrieval methods at its disposal and select the one it deems most appropriate. Listing 3 provides a query in which we ask SQL Server to find a Customer named Jake Smith.

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