Search Results for: mysql large database performance

Great Speakers, Fun, and Insights at Percona Live MySQL Conference

The Percona Live MySQL Conference 2014 is less than two weeks away, running April 1-4, and excitement is building for the great lineup of speakers, events, and networking opportunities it offers. This year’s conference also features the first-ever Open Source Appreciation Day, which takes place on March 31, 2014, and includes two separate events, CentOS […]

Oracle’s Mats Kindahl to weave MySQL Fabric into Percona Live session

MySQL Fabric is an integrated framework for managing farms of MySQL servers with support for both high-availability and sharding. Its development has been spearheaded by Mats Kindahl, senior principal software developer in MySQL at Oracle. Mats is leading the MySQL Scaling and High-Availability effort covering the newly released MySQL Fabric and the MySQL Applier for […]

Percona XtraDB Cluster performance monitoring and troubleshooting

First of all we would like to thank all of you who attended the Feb. 19 MySQL webinar, “Performance Monitoring and Troubleshooting of Percona XtraDB Cluster.” We got some really good questions – many of which we didn’t have time to address during the sessions, so Johan Andersson, Severalnines CTO,and I are answering them here […]

How to monitor ALTER TABLE progress in MySQL

While working on a recent support issue as a Percona Support Engineer,  I got one question from a customer asking how to monitor ALTER TABLE progress. Actually, for MySQL 5.5 and prior versions, it’s quite difficult to ALTER the table in a running production environment especially for large tables (with millions records). Because it will rebuild and lock the table […]

8 common (but deadly) MySQL operations mistakes and how to avoid them

January 22 I gave a presentation on “How to Avoid Common (but Deadly) MySQL Operations Mistakes” for Percona MySQL Webinars. If you missed it, you can still register to view the recording and my slides. Thanks to everyone who attended, and especially to folks who asked the great questions. I answered as many as we […]

Calvin Sun on MySQL at Twitter, Percona Live 2014 and Facebook

Twitter’s Calvin Sun (@Calvinsun2012) is looking forward to the fast-approaching Percona Live MySQL Conference and Expo this April 1-4 in Santa Clara, Calif. He’ll be speaking, yes, but he’s also looking forward to learning from his peers – particularly those at Facebook. Both companies, he explained, are in the rather unique positions of unprecedented rapid […]

Quick installation guide for Percona Cloud Tools for MySQL

Here in Percona Support, we’re receiving several requests per day for help with Percona Cloud Tools installation steps. So I decided to prepare a step-by-step example of the installation process with some comments based on experience.  Percona Cloud Tools is a hosted service providing access to query performance insights for all MySQL uses. After a […]

10 MySQL settings to tune after installation

When we are hired for a MySQL performance audit, we are expected to review the MySQL configuration and to suggest improvements. Many people are surprised because in most cases, we only suggest to change a few settings even though hundreds of options are available. The goal of this post is to give you a list […]

MySQL server memory usage troubleshooting tips

There are many blog posts already written on topics related to “MySQL server memory usage,” but nevertheless there are some who still get confused when troubleshooting issues associated with memory usage for MySQL. As a Percona support engineer, I’m seeing many issues regularly related to heavy server loads – OR OOM killer got invoked and […]

Increasing slow query performance with the parallel query execution

MySQL and Scaling-up (using more powerful hardware) was always a hot topic. Originally MySQL did not scale well with multiple CPUs; there were times when InnoDB performed poorer with more  CPU cores than with less CPU cores. MySQL 5.6 can scale significantly better; however there is still 1 big limitation: 1 SQL query will eventually use only […]