In preparing for this month’s Percona Live MySQL Conference and Expo, I’ve been reminiscing about the annual MySQL User Conference’s history – the 9 times it previously took place in its various reincarnations – and there are a lot of good things, fun things to remember. 2003 was the year that marked the first MySQL user conference [...]
Webinar: Building a highly scaleable distributed row, document or column store with MySQL and Shard-Query
February 6, 2013 By Leave a Comment
On Friday, February 15, 2013 10:00am Pacific Standard Time, I will be delivering a webinar entitled “Building a highly scaleable distributed row, document or column store with MySQL and Shard-Query” The first part of this webinar will focus on why distributed databases are needed, and on the techniques employed by Shard-Query to implement a distributed [...]
MySQL 5.6: Improvements in the Nutshell
January 27, 2013 By 16 Comments
Preparing for my talk for Percona MySQL University in Raleigh,NC, Tuesday 29th of January I have created the outline of improvements available in MySQL 5.6 which I thought was worth sharing to give a feel for how massive work have been done for this release in variety of areas. I’m sure the list is not [...]
Thank you for joining us at Percona Live, NYC 2012
October 7, 2012 By 1 Comment
Over 200 attendees attended last week’s Percona Live NY event. This year we structured event different than in 2011 with Tutorial Day allowing for in-depth 3 hour presentations for those looking to dive deep into specific topics. We also added an Expo Hall which allowed a lot of MySQL Ecosystem participant to meet their prospective [...]
Diamond Keynote Panel, BOFs, Lightning Talks, and McAfee and AOL Sponsorships
April 2, 2012 By 1 Comment
I’m excited by all of the recent developments surrounding the Percona Live MySQL Conference and Expo! Our own Baron Schwartz will moderate the Diamond Keynote Panel entitled “Future Perfect: The Road Ahead for MySQL” which will feature a panel of MySQL industry leaders, including: Sundar Raghavan, director product management at Amazon; Paul Mikesell, CEO of [...]
MariaDB 5.3 is released as GA!
March 5, 2012 By 17 Comments
Congratulations to Monty Program and the many community contributors for releasing the GA version of MariaDB 5.3. We were in our annual all-staff meeting last week, so we are a little slow to blog about this and acknowledge the great work that has gone into MariaDB. Better late than never, I hope. Before I discuss [...]
Last chance for a discount on Percona Live DC!
January 3, 2012 By Leave a Comment
In just over a week, we’ll be running a Percona Live MySQL conference in the nation’s capital, in a beautiful modern conference facility that has its own Metro rail stop. And for a limited time, you can save 20% with this discount code: PerLiveDC. If you’re in the DC area and you use MySQL, this [...]
Flexviews is a working scalable database transactional memory example
May 19, 2011 By 3 Comments
http://Flexvie.ws fully implements a method for creating materialized views for MySQL data sets. The tool is for MySQL, but the methods are database agnostic. A materialized view is an analogue of software transactional memory. You can think of this as database transactional memory, or as database state distributed over time, but in an easy way [...]
Distributed set processing performance analysis with ICE 3.5.2pl1 at 20 nodes.
May 14, 2011 By Leave a Comment
Demonstrating distributed set processing performance Shard-Query + ICE scales very well up to at least 20 nodes This post is a detailed performance analysis of what I’ve coined “distributed set processing”. Please also read this post’s “sister post” which describes the distributed set processing technique. Also, remember that Percona can help you get up and [...]
Intel Nehalem vs AMD Opteron shootout in sysbench workload
April 25, 2011 By 41 Comments
Having two big boxes in our lab, one based Intel Nehalem (Cisco UCS C250) and second on AMD Opteron (Dell PowerEdge R815), I decided to run some simple sysbench benchmark to compare how both CPUs perform and what kind of scalability we can expect.
