August 23, 2014

Identifying the load with the help of pt-query-digest and Percona Server

Overview Profiling, analyzing and then fixing queries is likely the most oft-repeated part of a job of a DBA and one that keeps evolving, as new features are added to the application new queries pop up that need to be analyzed and fixed. And there are not too many tools out there that can make […]

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 […]

Percona welcomes Ewen Fortune and Piotr Biel

Although we haven’t announced any new members in a while, the Percona team has continued to grow steadily behind the scenes. Our hiring policy is to have a few months’ provisional period to ensure the…, of course. Ewen has been a consultant and contractor before joining Percona, and has many years of experience in Oracle, MySQL, Unix systems ….

Piotr Biel lives in Poland, quite close to our other Polish team member (Maciek Dobrzanski). In his past as a system architect he … can do!

Ewen and Piotr, a very warm welcome to the Percona team from all of us, and we are so glad to …

Sphinx: Going Beyond full text search

I’ve already wrote a few times about various projects using Sphinx with MySQL for scalable Full Text Search applications. For example on BoardReader we’re using this combination to build search against over 1 billion of forum posts totaling over 1.5TB of data handling hundreds of thousands of search queries per day. The count of forum […]

MySQL Server Memory Usage

Every so often people ask me the question how should they estimate memory consumption by MySQL Server in given configuration. What is the formula they could use. The reasons to worry about memory usage are quite understandable. If you configure MySQL Server so it uses too small amount of memory it will likey perform suboptimally. […]