Percona is glad to announce the release of Percona XtraBackup 2.1.1 on May 15th 2013. Downloads are available from our download site here and Percona Software Repositories. Percona XtraBackup enables backups without blocking user queries, making it ideal for companies with large data sets and mission-critical applications that cannot tolerate long periods of downtime. Offered [...]
Webinar: Building a highly scaleable distributed row, document or column store with MySQL and Shard-Query
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 [...]
Thank you for joining us at Percona Live, NYC 2012
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 [...]
Using any general purpose computer as a special purpose SIMD computer
Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very expensive process unless the work can be done in parallel. Shard-Query introduces set based processing, which on the surface appears [...]
Distributed Set Processing with Shard-Query
Can Shard-Query scale to 20 nodes? Peter asked this question in comments to to my previous Shard-Query benchmark. Actually he asked if it could scale to 50, but testing 20 was all I could due to to EC2 and time limits. I think the results at 20 nodes are very useful to understand the performance: [...]
Shard-Query turbo charges Infobright community edition (ICE)
Shard-Query is an open source tool kit which helps improve the performance of queries against a MySQL database by distributing the work over multiple machines and/or multiple cores. This is similar to the divide and conquer approach that Hive takes in combination with Hadoop. Shard-Query applies a clever approach to parallelism which allows it to [...]
Multiple purge threads in Percona Server 5.1.56 and MySQL 5.6.2
Part of the InnoDB duties, being an MVCC-implementing storage engine, is to get rid of–purge–the old versions of the records as they become obsolete. In MySQL 5.1 this is done by the master InnoDB thread. Since then, InnoDB has been moving towards the parallelized purge: in MySQL 5.5 there is an option to have a [...]
Star Schema Bechmark: InfoBright, InfiniDB and LucidDB
In my previous rounds with DataWarehouse oriented engines I used single table without joins, and with small (as for DW) datasize (see http://www.mysqlperformanceblog.com/2009/10/02/analyzing-air-traffic-performance-with-infobright-and-monetdb/, http://www.mysqlperformanceblog.com/2009/10/26/air-traffic-queries-in-luciddb/, http://www.mysqlperformanceblog.com/2009/11/02/air-traffic-queries-in-infinidb-early-alpha/). Addressing these issues, I took Star Schema Benchmark, which is TPC-H modification, and tried run queries against InfoBright, InfiniDB, LucidDB and MonetDB. I did not get results for MonetDB, will [...]
Compression for InnoDB backup
Playing with last version of xtrabackup and compress it I noticed that gzip is unacceptable slow for both compression and decompression operations. Actually Peter wrote about it some time ago, but I wanted to review that data having some new information. In current multi-core word the compression utility should utilize several CPU to speedup operation, [...]
High-Performance Click Analysis with MySQL
We have a lot of customers who do click analysis, site analytics, search engine marketing, online advertising, user behavior analysis, and many similar types of work. The first thing these have in common is that they’re generally some kind of loggable event. The next characteristic of a lot of these systems (real or planned) is [...]

