April 18, 2014

Announcing Percona Server for MySQL version 5.1.67-14.4

Percona is glad to announce the release of Percona Server for MySQL version 5.1.67-14.4 on March 8, 2013 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.1.67, including all the bug fixes in it, Percona Server 5.1.67-14.4 is now the current stable release in the 5.1 series. All of Percona‘s software is open-source and free, all the details […]

Announcing Percona Server 5.5.27-28.1

Percona is glad to announce the release of Percona Server 5.5.27-28.1 on September 5th, 2012 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.5.27, including all the bug fixes in it, Percona Server 5.5.27-28.1 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 the release can […]

Percona Server 5.5.15 + Galera 21.1-beta2

Codership team published beta2 of MySQL 5.5.15 with Galera replication https://launchpad.net/codership-mysql and we made port to Percona Server: source code: lp:~percona-dev/percona-server/percona-server-galera-5.5.15 binaries for RedHat/CentOS 6: http://www.percona.com/downloads/TESTING/Galera/Percona-XtraDB-Galera-5.5.15.tar.gz What difference between Percona Server+Galera and MySQL 5.5.15 ? First of course, Percona Server+Galera is based on our XtraDB engine. Second, we provide wsrep_sst_xtrabackup script, which allows to use […]

Scaling problems still exist in MySQL 5.5 and Percona Server 5.5

MySQL 5.5 and Percona Server 5.5 do not solve all scalability problems even for read only workloads. Workloads which got a lot of attention such as Sysbench and DBT2/TPC-C scale pretty well a they got a lot of attention, there can be other quite typical workloads however which do not scale that well. This is […]

Percona Server 5.5.8 Beta Release

It’s finally here! Percona Server Percona Server 5.5.8-20.0 is now available for download. This is a beta release of Percona’s enhancements to the MySQL 5.5.8 server. Here are some highlights: Performance and scalability improvements throughout the server and storage engine Optimizations for flash storage such as SSD, Virident, and FusionIO Optimizations for cloud computing The […]

Percona Server 5.1.54-12.5

Percona Server version 5.1.54-12.5 is now available for download. It is now the current stable release version. Functionality Added or Changed Percona Server 5.1.54-12.5 is based on MySQL 5.1.54. New Features Added: None Other Changes: Added system variable innodb_log_block_size and new value “keep_average” to system variable adaptive_checkpoint in Improved InnoDB I/O Scalability. (Yasufumi Kinoshita) Added new value […]

MySQL 5.5.8 and Percona Server on Fast Flash card (Virident tachIOn)

This is to follow up on my previous post and show the results for MySQL 5.5.8 and Percona Server on the fastest hardware I have in our lab: a Cisco UCS C250 server with 384GB of RAM, powered by a Virident tachIOn 400GB SLC card. To see different I/O patterns, I used different innodb_buffer_pool_size settings: 13G, […]

MySQL 5.5.8 and Percona Server: being adaptive

As we can see, MySQL 5.5.8 comes with great improvements and scalability fixes. Adding up all the new features, you have a great release. However, there is one area I want to touch on in this post. At Percona, we consider it important not only to have the best peak performance, but also stable and predictable performance. I refer you […]

Percona white paper: Forecasting MySQL Scalability

Ewen and I have just published Percona’s latest white paper, Forecasting MySQL Scalability with the Universal Scalability Law. This is essentially a streamlined walk-through of Dr. Neil J. Gunther’s book Guerrilla Capacity Planning, with examples to show how you can apply it to MySQL servers. One thing alluded to in the paper is extracting the […]

table_cache negative scalability

Couple of months ago there was a post by FreshBooks on getting great performance improvements by lowering table_cache variable. So I decided to investigate what is really happening here. The “common sense” approach to tuning caches is to get them as large as you can if you have enough resources (such as memory). With MySQL […]