Since my first post on MySQL transaction descriptors optimization introduced in Percona Server 5.5.30-30.2 and a followup by Dimitri Kravchuk, we have received a large number of questions on why the benchmark results in both posts look rather different. We were curious as well, so we tried to answer that question by retrying benchmarks on [...]
Percona Server 5.5.30-30.2 rerelease fixes non-restart issue
April 24, 2013 By Leave a Comment
In our last 5.5 series release of Percona Server, we included a regression in the RPM packaging that prevented the server from restarting following an upgrade — instead, the server would remain stopped after the upgrade was completed regardless of its state before updating. This caused some problems for some users, especially if automatic upgrading was configured [...]
Is your MySQL buffer pool warm? Make it sweat!
April 16, 2013 By 6 Comments
Today’s blog post diving into the waters of the MySQL buffer pool is a cross-post from Groupon’s engineering blog, and is Part 1 of 2. Thank you to Kyle Oppenheim at Groupon for contributing to this project and post. We’ll be posting Part 2 on Thursday. I’ll be at the Percona Live MySQL Conference and [...]
Percona Server for MySQL 5.5.30-30.2 now available
April 10, 2013 By 8 Comments
Percona is glad to announce the release of Percona Server for MySQL 5.5.30-30.2 on April 10, 2013 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.5.30, including all the bug fixes in it, Percona Server 5.5.30-30.2 is now the current stable release in the 5.5 series. All of Percona‘s software is open-source and free, all the details of [...]
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. [...]
Announcing Percona Server for MySQL version 5.5.29-30.0
February 26, 2013 By Leave a Comment
Percona is glad to announce the release of Percona Server for MySQL version 5.5.29-30.0 on February 26th, 2013 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.5.29, including all the bug fixes in it, Percona Server 5.5.29-30.0 is now the current stable release in the 5.5 series. All of Percona‘s software is open-source and free, all the details [...]
Create 3 nodes XtraDB Cluster in 3 minutes
January 12, 2012 By 1 Comment
I understand that the new technology can be scaring and this makes entry barriers to try and get familiar with it. That’s why I created simple set of scripts which setup N nodes cluster on running EC2 instances. The script assumes that you have running N EC2 instances (in the same availability zone) running RedHat [...]
Making the impossible: 3 nodes intercontinental replication
January 11, 2012 By 29 Comments
In this post I want to show new possibilities which open with Percona XtraDB Cluster. We will create 3 nodes Cluster with nodes on different continents (Europe, USA, Japan) and each node will accept write queries. Well, you theoretically could create 3 node traditional MySQL ring replication, but this is not what you want to [...]
Percona XtraBackup 1.6.4
December 19, 2011 By 9 Comments
Percona is glad to announce the release of Percona XtraBackup 1.6.4 on 19 December, 2011 (Downloads are available here and from the Percona Software Repositories). These release notes are (as always) available from the online Percona XtraBackup documentation. This release is purely composed of bug fixes and is the current stable release of Percona XtraBackup. In this release we now [...]
Shard-Query adds parallelism to queries
November 15, 2010 By 18 Comments
Preamble: On performance, workload and scalability: MySQL has always been focused on OLTP workloads. In fact, both Percona Server and MySQL 5.5.7rc have numerous performance improvements which benefit workloads that have high concurrency. Typical OLTP workloads feature numerous clients (perhaps hundreds or thousands) each reading and writing small chunks of data. The recent improvements to [...]
