The Percona Live MySQL Conference and Expo begins next Monday and runs April 22-25, 2013. Attendees will see great keynotes from leaders in the industry including representatives from Oracle, Amazon Web Services, HP, Continuent, and Percona. They can also participate in thought provoking Birds of a Feather sessions on Tuesday night and the Wednesday night [...]
Keynotes, BOFs, and the Community Networking Reception at Percona Live MySQL Conference and Expo
April 15, 2013 By 1 Comment
MySQL 5.6 vs MySQL 5.5 and the Star Schema Benchmark
March 11, 2013 By 7 Comments
So far most of the benchmarks posted about MySQL 5.6 use the sysbench OLTP workload. I wanted to test a set of queries which, unlike sysbench, utilize joins. I also wanted an easily reproducible set of data which is more rich than the simple sysbench table. The Star Schema Benchmark (SSB) seems ideal for this. [...]
Percona Server on the Raspberry Pi: Your own MySQL Database Server for Under $80
February 25, 2013 By 10 Comments
There are many reasons for wanting a small MySQL database server: You’re a uni student who wants to learn the SQL language better and needs a mini-testbox You’re a Windows user who wants to play around with Percona Server on Linux You’re a corporate application developer who wants a small SQL development & test box [...]
New Keynote Speakers and Sponsors and Applications Open for DotOrg Pavilion for Percona Live MySQL Conference and Expo
January 22, 2013 By Leave a Comment
I’m pleased to announce the first of the Percona Live MySQL Conference and Expo 2013 keynote speakers and new sponsors including Amazon Web Services, Google, Clustrix, Scalebase, PalominoDB, Database Trends & Applications, and Linux Journal. We are also now accepting applications for the DotOrg Pavilion. Also, nominations are now being accepted for the 2013 MySQL [...]
A case for MariaDB’s Hash Joins
May 31, 2012 By Leave a Comment
MariaDB 5.3/5.5 has introduced a new join type “Hash Joins” which is an implementation of a Classic Block-based Hash Join Algorithm. In this post we will see what the Hash Join is, how it works and for what types of queries would it be the right choice. I will show the results of executing benchmarks [...]
Review of Virident FlashMAX MLC cards
November 10, 2011 By 14 Comments
I have been following Virident for a long time (e.g. http://www.mysqlperformanceblog.com/2010/06/15/virident-tachion-new-player-on-flash-pci-e-cards-market/). They have great PCIe Flash cards based on SLC NAND. I always thought that Virident needed to come up with an MLC card, and I am happy to see they have finally done so. At Virident’s request, I performed an evaluation of their MLC [...]
NDB tutorial at Percona Live London + Free TIcket Give Away
September 23, 2011 By Leave a Comment
In a month, the 24th of October, Johan Andersson (severalnines.com) and I will be giving a full day tutorial on NDB cluster which will include both presentations and hands-on. Be ready for a fast ramp-up on NDB! Among items covered: – Achitecture – Installation – Loading data – Administration (common procedures) – Node recovery – [...]
Flexviews – part 3 – improving query performance using materialized views
April 4, 2011 By 20 Comments
Combating “data drift” In my first post in this series, I described materialized views (MVs). An MV is essentially a cached result set at one point in time. The contents of the MV will become incorrect (out of sync) when the underlying data changes. This loss of synchronization is sometimes called drift. This is conceptually [...]
MySQL on Amazon RDS part 1: insert performance
March 15, 2011 By 37 Comments
Amazon’s Relational Database Service (RDS) is a cloud-hosted MySQL solution. I’ve had some clients hitting performance limitations on standard EC2 servers with EBS volumes (see SSD versus EBS death match), and one of them wanted to evaluate RDS as a replacement. It is built on the same technologies, but the hardware and networking are supposed [...]
Death match! EBS versus SSD price, performance, and QoS
February 21, 2011 By 55 Comments
Is it a good idea to deploy your database into the cloud? It depends. I have seen it work well many times, and cause trouble at other times. In this blog post I want to examine cloud-based I/O. I/O matters a lot when a) the database’s working set is bigger than the server’s memory, or [...]
