Titlebook: SQL Server 2008 Query Performance Tuning Distilled; Grant Fritchey,Sajal Dam Book 2009 Sajal Dam and Grant Fritchey 2009 Microsoft SQL Ser

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minimum-distance solution. This is where the similarities end, however, because there aren’t any tricks for finding perfect solutions to the TSP. The problem is NP-hard [1791: there are no known algorithms for finding perfect solutions that have a complexity that grows as only a polynomial function

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iterations of random variation and selection. Random variation provides the mechanism for discovering new solutions. Selection determines which solutions to maintain as a basis for further exploration. Metaphorically, the search is conducted on a landscape of hills and valleys (see figure 7.1), whi

Cryptic

iterations of random variation and selection. Random variation provides the mechanism for discovering new solutions. Selection determines which solutions to maintain as a basis for further exploration. Metaphorically, the search is conducted on a landscape of hills and valleys (see figure 7.1), whi

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Book 2009s and queries, isolating the causes of that poor performance, and fixing the underlying problems. Each chapter is dedicated to one of the top causes of poorly performing queries and shows methods for identifying and dealing with the problems in that chapter‘s domain. Emphasis is always put upon or p

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SQL Query Performance Tuning, query performance tuning. Hardware performance is constantly improving, which can lead to an attitude suggesting that other methods of performance tuning are no longer important. Upgrades to SQL Server—especially to the optimizer, which helps determine how a query is executed, and the query engine,

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System Performance Analysis, of the first things you should do when starting the performance-tuning process, since without a baseline you will not be able to quantify improvements. In this chapter, you will learn how to use the Performance Monitor tool to accomplish this and how to use the different performance counters that a