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Schwartz B., Zaitsev P., Tkachenko V. High Performance MySQL

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Schwartz B., Zaitsev P., Tkachenko V. High Performance MySQL
O’Reilly Media, 2012. - 794 p. - ISBN: 1449314287, 978-1449314286 (3rd Edition).
How can you bring out MySQL’s full power? With High Performance MySQL, you’ll learn advanced techniques for everything from designing schemas, indexes, and queries to tuning your MySQL server, operating system, and hardware to their fullest potential. This guide also teaches you safe and practical ways to scale applications through replication, load balancing, high availability, and failover.
Updated to reflect recent advances in MySQL and InnoDB performance, features, and tools, this third edition not only offers specific examples of how MySQL works, it also teaches you why this system works as it does, with illustrative stories and case studies that demonstrate MySQL’s principles in action. With this book, you’ll learn how to think in MySQL.
Learn the effects of new features in MySQL 5.5, including stored procedures, partitioned databases, triggers, and views.
Implement improvements in replication, high availability, and clustering.
Achieve high performance when running MySQL in the cloud.
Optimize advanced querying features, such as full-text searches.
Take advantage of modern multi-core CPUs and solid-state disks.
Explore backup and recovery strategies—including new tools for hot online backups.
MySQL Architecture and History.
Benchmarking MySQL.
Profiling Server Performance.
Optimizing Schema and Data Types.
Indexing for High Performance.
Query Performance Optimization.
Advanced MySQL Features.
Optimizing Server Settings.
Operating System and Hardware Optimization.
Replication.
Scaling MySQL.
High Availability.
MySQL in the Cloud.
Application-Level Optimization.
Backup and Recovery.
Tools for MySQL Users.
Appendix A - Forks and Variants of MySQL.
Appendix B - MySQL Server Status.
Appendix C - Transferring Large Files.
Appendix D - Using EXPLAIN.
Appendix E - Debugging Locks.
Appendix F - Using Sphinx with MySQL.
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