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Abstract

As explained in Chapter 4, index column values are stored in the leaf pages of an index’s B-tree structure. When you create an index (clustered or nonclustered) on a table, the cost of data retrieval is reduced by properly ordering the leaf pages of the index and the rows within the leaf pages. In an OLTP database, data changes continually, causing fragmentation of the indexes. As a result, the number of reads required to return the same number of rows increases over time.

Keywords

Fill Factor Logical Order Unique Constraint Atomic Step Fragmentation Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Grant Fritchey and Sajal Dam 2009

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