This session focuses on ZFS performance with MySQL, and explores its suitability for deploying workloads based on MyISAM and InnoDB. ZFS performance relative to other file systems and the impact of ZFS compression on MySQL performance will also be examined. The ZFS Intent Log (ZIL) and the second level Adaptive Replacement Cache (L2ARC) benefit from low latencies, and benchmark results will be presented with the ZIL and L2ARC placed on SSDs. ZFS also obviates the need for the InnoDB doublewrite buffer, and the performance benefits of disabling this buffer will be discussed. Finally, tuning tips and best practices will be outlined for achieving optimal MySQL performance with ZFS.
Allan Packer is a Principal Engineer working for the Performance Technologies engineering group at Sun Microsystems. He has developed tools used for performance and regression testing, acted as technical lead for several published TPC benchmarks, and developed a training curriculum used by SunU. Allan has worked on issues related to server systems performance, sizing, availability, and resource management, and currently leads the MySQL Performance and Scalability team at Sun. He has published articles in industry magazines, presented at international industry conferences, and his book “Configuring and Tuning Databases on the Solaris Platform” was published by Sun Press in December 2001.
Neel Nadgir works in the Performance & Availability Engineering group at Sun Microsystems. Neel has a long history with ZFS, performance, and databases. Neel is a senior member of the Sun/MySQL Performance & Scalability Project.
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Comments
OK, a better link for the video: www.youtube.com/watch?v=a31...
People have reported that the “play” link loads for 15-20 minutes before actually streaming the content; however, the download link works just fine. I apologize for any inconvenience.
Play the video directly in your browser at technocation.org/node/748/play or download it at technocation.org/node/748/d...
Could have been less general ZFS advertising and more MySQL specific findings, but I’m happy to get any information—it’s been pretty sparse!