High Performance MySQL: Optimization, Backups, and by Baron Schwartz, Peter Zaitsev, Vadim Tkachenko

By Baron Schwartz, Peter Zaitsev, Vadim Tkachenko

How will you convey out MySQL’s complete strength? With High functionality MySQL, you’ll study complex strategies for every thing from designing schemas, indexes, and queries to tuning your MySQL server, working approach, and to their fullest power. This consultant additionally teaches you secure and useful how one can scale functions via replication, load balancing, excessive availability, and failover.

Updated to mirror contemporary advances in MySQL and InnoDB functionality, beneficial properties, and instruments, this 3rd version not just bargains particular examples of the way MySQL works, it additionally teaches you why the program works because it does, with illustrative tales and case reports that exhibit MySQL’s rules in motion. With this ebook, you’ll examine how to think in MySQL.

• examine the results of latest good points in MySQL 5.5, together with kept approaches, partitioned databases, triggers, and views
• enforce advancements in replication, excessive availability, and clustering
• in attaining excessive functionality while working MySQL within the cloud
• Optimize complex querying positive factors, akin to full-text searches
• make the most of sleek multi-core CPUs and solid-state disks
• discover backup and restoration strategies—including new instruments for decent on-line backups

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Extra info for High Performance MySQL: Optimization, Backups, and Replication (3rd Edition)

Sample text

Each transaction will then attempt to update its second row, only to find that it is already locked. The two transactions will wait forever for each other to complete, unless something intervenes to break the deadlock. To combat this problem, database systems implement various forms of deadlock detection and timeouts. The more sophisticated systems, such as the InnoDB storage engine, will notice circular dependencies and return an error instantly. This can be a good thing—otherwise, deadlocks would manifest themselves as very slow queries.

This space holds previously deleted rows and can be reclaimed by future INSERT statements. Auto_increment The next AUTO_INCREMENT value. Create_time When the table was first created. Update_time When data in the table last changed. Check_time When the table was last checked using CHECK TABLE or myisamchk. Collation The default character set and collation for character columns in this table. Checksum A live checksum of the entire table’s contents, if enabled. Create_options Any other options that were specified when the table was created.

You should use InnoDB for your tables unless you have a compelling need to use a different engine. If you want to study storage engines, it is also well worth your time to study MySQL’s Storage Engines | 15 InnoDB in depth to learn as much as you can about it, rather than studying all storage engines equally. InnoDB’s history InnoDB has a complex release history, but it’s very helpful to understand it. 1. This was the next generation of InnoDB created by Oracle, which at that time owned InnoDB but not MySQL.

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