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During optimization, each operator in the query is evaluated to estimate the number of rows that are processed by that operator. This helps the Query Optimizer make proper tradeoffs based on the costs of different query plans. This process is done bottom-up, with the base table cardinalities and statistics being used as input to tree nodes above it. This process continues all the way up the query tree, and the estimated number of rows returned from a query in showplan information is based on this calculation. Listing 8-7 contains a sample used to explain how the cardinality derivation process works.

This book was reviewed and tested against the November 2007 release candidate for Visual Studio 2008. This book is expected to be fully compatible with the final release of Visual Studio 2008. If there are any changes or corrections for this book, they ll be collected and added to a Microsoft Knowledge Base article. See the Support for This Book section later in this introduction for more information.

CREATE TABLE Table3(col1 INT, col2 INT, col3 INT); GO SET NOCOUNT ON; BEGIN TRANSACTION; DECLARE @i INT=0; WHILE @i< 10000 BEGIN INSERT INTO Table3(col1, col2, col3) VALUES (@i, @i,@i % 50); SET @i+=1; END; COMMIT TRANSACTION; GO SELECT col1, col2 FROM Table3 WHERE col3 < 10;

8

Intelligent Agent An intelligent agent is a small artificial intelligent software program that can carry out a number of different kinds of functions without further direction Agents may use technologies such as expert systems, neural networks, fuzzy logic, and genetic algorithms Internet Collection of networks connected by the Internet Protocol IP (Internet Protocol) Address The identifying number of a computer or Web server Static IP addresses always use the same number Dynamic IP addresses are assigned a new number every time the computer is logged onto the Internet

This query is represented in the query processor using the tree shown in Figure 8-27.

Project (col1, col2)

As technologies related to this book are updated, links to additional information will be added to the Microsoft Press

Filter (col3 > 10)

Get(Table3)

For this query, the Filter operator requests statistics on each column participating in the predicate (col3 in this query). The request is passed down to Table3, where an appropriate statistics object is created or updated. That statistics object is then passed to the lter to determine the selectivity of the operator. Selectivity is the fraction of rows that are expected to be quali ed by the predicate and then returned to the user. Selectivity is used (instead of merely counting the number of matching values in a statistics histogram) to scale the estimate from the sample to the current row count properly, as the current row count may differ from when the statistics object was created and the statistics object may be over only a sample of the rows. Once the selectivity for an operator is computed, it is multiplied by the current number of rows for the query. The selectivity of this lter operation is based on the histogram loaded for column col3. This can be seen in Figure 8-28.

I ve used a synthetic data distribution for this example to make it easier to follow the computations. Because I ve created a distribution on col3 that is uniformly distributed from 0 to 49, there are 10/50 values less than 10, or 20 percent of the rows. Therefore, the selectivity of this lter in the query is 0.2. So the calculation of the number of rows resulting from the lter is: (# rows in operator below) * (selectivity of this operator) 10000 * 0.2 = 2000 rows We can validate this computation by looking at the showplan information for the query shown in Figure 8-29.

ISO (International Organization for Standardization) A collective, worldwide standards group for computing, communications, manufacturing, and engineering processes

Microsoft Visual C# 2008 Express Edition: Build a Program Now!