Microsoft SQL Server 2005 ***：查询与优化 Inside Microsoft SQL Server 2005 mobi 下载 网盘 caj lrf pdf txt 阿里云

Dive deep into the internals of query tuning and optimization in SQL Server 2005 with this comprehensive reference. Understanding the internals of SQL Server helps database developers and administrators to better create, access, and effectively process information from enterprise data. Written by experts on SQL Server, this volume from the Inside Microsoft SQL Server series of books focuses on query tuning and optimization. Youll take an in-depth look at the best ways to make queries more efficient and effective, while maximizing existing resources. Includes extensive code samples and table examples to help database developers and administrators understand the intricacies and help promote mastery of query tuning and optimization.

1　A Performance Troubleshooting Methodology

2　Tracing and Profiling

3　Query Execution

4　Troubleshooting Query Performance

5　Plan Caching and Recompilation

6　Concurrency Problems

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作者简介：

　　Kalen Delaney is the Series Editor for the Inside SQL Server series of books from Microsoft Press. She has been working with SQL Server since 1987 and has been a Microsoft MVP since 1995. She is a founding mentor of Solid Quality Learning, where she helps develop courses and training materials. Kalen is a contributing editor and columnist for SQL Server Magazine and the author of several books on SQL Server, including Inside Microsoft SQL Server 2000.

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Dig into the internals of tuning and optimization features in SQL Server 2005with insights from leading SQL Server experts. This in-depth guide delivers best practices, pragmatic advice, and code samples to help you enable efficient, effective queriesand optimize database performance. Discover how to: Create a baseline and monito***orkload by using System Monitor and DMVs Design, manipulate, and manage traces to isolate database performance issues Audit user activity by using built-in default, black box, and Common Criteria traces Analyze query execution using scans and seeks, joins, aggregati***, uni***, and parallelism Generate efficient and cost-effective queries using cached plans or new plans Detect and resolve locking, blocking, and deadlocking concurrency issues Use best practices to diagnose and troubleshoot resp***e time, throughput, and scalability issues PLUSIncludes Transact-SQL code samples and on the Web