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High Performance MySQL: Optimization, Backups, Replication, and Moreby Baron Schwartz
Synopses & Reviews
Now that MySQL has proven to be a robust product for large, demanding environments, both programmers and administrators want more information on how to get the most out of it. High Performance MySQL goes beyond the basics to explain how MySQL works under the hood so that experienced users can understand why it's fast and, conversely, what can slow it down. In this new edition, you'll learn how to maximize the speed and robustness of MySQL through advanced configuration, and methods to optimize everything from schemas, queries, server settings and applications to operating systems, and hardware — topics that typical MySQL books don't cover very well. Other requirements for scaling MySQL, such as replication, backups, and load balancing, are thoroughly discussed as well. This is not a book on MySQL theory — it's a collection of hands-on methods for solving real-world problems, by authors who have the experience to back it up. High Performance MySQL includes: Clustering solutions Impacts of new features of MySQL 5.0/5.1, including stored procedures, partitioned databases, triggers, and views Expanded comparisons of storage engines and optimization techniques specific to each one Federation (scaling by dividing data among different servers or different clusters) Optimization of subqueries Use of the new information schema to retrieve data about the server and your databases Optimization of advanced querying features, such as full text searches and the use of cursors With this book, you'll discover good practices for large demanding environments, and learn about MySQL's weaknesses and how to work around them. High Performance MySQL offers the advanced solutions you need to ensure asmoothly functioning database-driven website.
Book News Annotation:
Schwartz, a software engineer, et al. instruct readers on the advanced techniques of MySQL 5.0 and 5.1, explaining how to design schemas, indexes, and queries, and advanced features. They overview its architecture, then discuss benchmarking and profiling, improving its performance, security, and other topics. This edition has been revised and expanded, and emphasizes performance and reliability. It covers storage engines, new features, building large scalable systems, new options for backups and replication, and the optimization of advanced querying features. Four appendices have been added, on transferring large files, using EXPLAIN and Sphinx, and debugging locks. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)
Users of MySQL find they have to deal with issues of reliability, scalability, and performance. This book is an insider's guide to these variables that are not well documented, but are critical to a smoothly functioning site.
High Performance MySQL is the definitive guide to building fast, reliable systems with MySQL. Written by noted experts with years of real-world experience building very large systems, this book covers every aspect of MySQL performance in detail, and focuses on robustness, security, and data integrity.
The book also includes chapters on benchmarking, profiling, backups, security, and tools and techniques to help you measure, monitor, and manage your MySQL installations.
About the Author
Baron Schwartz is a software engineer who lives in Charlottesville, Virginia and goes by the online handle of "Xaprb," which is his first name typed in QWERTY on a Dvorak keyboard. When he's not busy solving a fun programming challenge, he relaxes with his wife Lynn and dog Carbon. He blogs about software engineering at http://www.xaprb.com/blog/.
A former manager of the High Performace Group at MySQL AB, Peter Zaitsev now runs the mysqlperformanceblog.com site. He specializes in helping administrators fix issues with Web sites handling millions of visitors a day, dealing with terabytes of data using hundreds of servers. He is used to making changes and upgrades both to hardware to software (such as query optimization) in order to find solutions. He also speaks frequently at conferences.
Vadim Tkachenko was a Performance Engineer in at MySQL AB. As an expert in multithreaded programming and synchronization, his primary tasks were benchmarks, profiling, and finding bottlenecks. He also worked on a number of features for performance monitoring and tuning, and getting MySQL to scale well on multiple CPUs.
Jeremy Zawodny and his two cats moved from Northwest Ohio to Silicon Valley in late 1999 so he could work for Yahoo!--just in time to witness the .com bubble bursting first-hand. He's been at Yahoo!® ever since, helping to put MySQL and other Open Source technologies to use in fun, interesting, and often very big ways. Starting with the popular and high-traffic Yahoo! Finance site, he worked to make MySQL part of the site's core infrastructure in large batch operations as well as real-time feed processing and serving content directly on the site. He then helped to spread "the MySQL religion" to numerous other groups within Yahoo!, including News, Personals, Sports, and Shopping. Nowadays he acts as Yahoo!'s MySQL guru, working with Yahoo!'s many engineering groups to get the most out of their MySQL deployments.
Arjen Lentz was born in Amsterdam but has lived in Queensland Australia since the turn of the millennium, sharing his life these days with his beautiful daughter Phoebe and black cat Figaro. Originally a C programmer, Arjen was employee #25 at MySQL AB (2001-2007). After a brief break in 2007, Arjen founded Open Query (http://openquery.com.au), which develops and provides its own data management training and consulting services in the Asia Pacific region and beyond. Arjen also regularly speaks at conferences and user groups. In his abundant spare time Arjen indulges in cooking, gardening, reading, camping, and exploring the RepRap. Arjen's weblog is at http://arjen-lentz.livejournal.com/
Derek J. Balling has been a Linux system administrator since 1996. Hehas helped build and maintain server infrastructure for companies likeYahoo, and institutions like Vassar College. He has also writtenarticles for The Perl Journal and a number of online magazines, and ison the Program Committee for the 2008 LISA Conference. He is currentlyemployed as the Data Center Manager for Answers.com.
Table of Contents
ForewordPrefaceChapter 1: MySQL ArchitectureChapter 2: Finding Bottlenecks: Benchmarking and ProfilingChapter 3: Schema Optimization and IndexingChapter 4: Query Performance OptimizationChapter 5: Advanced MySQL FeaturesChapter 6: Optimizing Server SettingsChapter 7: Operating System and Hardware OptimizationChapter 8: ReplicationChapter 9: Scaling and High AvailabilityChapter 10: Application-Level OptimizationChapter 11: Backup and RecoveryChapter 12: SecurityChapter 13: MySQL Server StatusChapter 14: Tools for High PerformanceTransferring Large FilesUsing EXPLAINUsing Sphinx with MySQLDebugging LocksColophon
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