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A clustered index is similar to a dictionary or a phone book The data is ordered in the same way the index is ordered For example, if you were to look up the word inspire in the dictionary, once you reached the word, you would also be on the same page as the explanation of the word You wouldn t need to look further The white pages of a phone book work the same way Thinking about a phone book helps to emphasize that we can only order the book in one way (or at least only one way at a time) If you were looking up Ms Olive Yewe, once you found her, you would also have her address and phone number: Yewe, Olive 476 Lovers Lane 555-5555
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Many years ago I sold real estate for a short time I worked in an office with several salespeople and we were assigned territories We had a special phone book that is ordered by street names, and it would give the name of who lived there and their phone number I was able to do mass mailings, or if I was feeling especially masochistic, I could try to call everyone on a street in my territory A key point is that it was a completely separate phone book ordered in a completely different way We can t have one physical phone book that at the same time is both in the order of last names and in the order of streets Similarly, we can have only one clustered index on a table One physical table can t be ordered in two different ways at the same time It is possible to create a completely separate copy of the table and order it in a different way, but for one table, we can only have one clustered index
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7: Optimizing Databases
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EXAM TIP You can have only one clustered index on a table A single table can only be ordered one way at a time A clustered index orders the data within a table in the same order as the clustered index By default, the PRIMARY KEY is created as a clustered index As a reminder, the PRIMARY KEY must have an index; the index is what enforces uniqueness on the PRIMARY KEY
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A nonclustered index is similar to the index in the back of the book By looking up a word or phrase such as stored procedures in the index, we can identify where information on stored procedures is located Let s point out something obvious If you look at the back of this book, you can see that the index is much thinner than the full thickness of this book Even if you had to search each page of the index, it would be much quicker than searching each page of the book But you don t need to search each page of the index, because it is ordered alphabetically When executing queries, the query optimizer can use nonclustered indexes the same way we use an index in the back of the book to locate information Think back to our 5-million-row Parts table and the query that searches based on the Name:
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SELECT Price from Parts WHERE Name = 'Blue Widget';
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If there weren t an index on the Name column, this search would require a table scan all 5 million rows of the parts table would have to be examined However, if we were to create an index on the Name column, we could streamline this query Looking at Figure 7-1, we can see how data from the Parts table might be stored in SQL Server In 2 we mentioned that pages are 8KB in size (limiting rows to no more than 8KB) We store eight pages within an extent, making extents 64KB in size When SQL Server reads data off the disk, it reads full extents at a time The Parts table is stored in 11 contiguous extents, in a total of 84 pages
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