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Performance Tuning Best Practices for MySQL

Posted on April 20, 2010April 23, 2010 by OD


Google TechTalks April 28, 2006 Jay Pipes Jay Pipes is a co-author of the recently published Pro MySQL (Apress, 2005), which covers all of the newest MySQL 5 features, as well as in-depth discussion and analysis of the MySQL server architecture, storage engines, transaction procesing, benchmarking, and advanced SQL scenarios. You can also see his name on articles appearing in Linux Magazine and can read more articles about MySQL at his website. ABSTRACT Learn where to best focus your attention when tuning the performance of your applications and database servers, and how to effectively find the “low hanging fruit” on the tree of bottlenecks. It’s not rocket science, but with a bit of acquired…

7 thoughts on “Performance Tuning Best Practices for MySQL”

  1. nekinadimak09 says:
    April 20, 2010 at 3:39 PM

    geeeeeks!!!!!!!!

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  2. L2DragonHunter says:
    April 20, 2010 at 4:31 PM

    Checkout my MYSQL Brute Force

    watch?v=dMIjDgWbF98

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  3. mysqlperformance says:
    April 20, 2010 at 5:01 PM

    This is a really great presentation from a true MySQL pro (thanks Jay). It is a must for anyone interested in MySQL Performance.

    Most of it still holds true, although it is 3 years now. A few things have happened, though, for example a number of new tools exist to make it easier discovering bad queries in your database – e.g. Jet Profiler for MySQL or Enterprise Monitor.

    To stay updated with more performance stuff, do check out “MySQL Performance blog” and “Planet MySQL”.

    MySQL rocks.

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  4. fisher041082 says:
    April 20, 2010 at 5:45 PM

    very much detailed and helpful….

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  5. C7B27D7B4 says:
    April 20, 2010 at 6:08 PM

    i love the fact that the top three categories of performance issues are all related to the SQL code (DML & DDL) which is used to build and query the database; this has always been my experience; if properly programmed, even an unscalable server (MsAccess, SQLite, dBase, …) can be pushed to its theoretical limit of performance; if poorly programmed, even a scalable server (Oracle, MsSqlServer, Sybase, …) can bog down and become unresponsive;

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  6. aloktherocker says:
    April 20, 2010 at 6:20 PM

    Very informative…thanks

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  7. suyuIdareliHarca says:
    April 20, 2010 at 7:11 PM

    Wow, thanks guys 🙂

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