by Peter Zaitsev | Jun 18, 2018 | Insight for DBAs, MySQL, Open Source, Webinars
Please join Percona’s CEO, Peter Zaitsev as he presents MySQL: Scaling and High Availability – Production Experience Over the Last Decade(s) on Tuesday, June 19th, 2018 at 7:00 AM PDT (UTC-7) / 10:00 AM EDT (UTC-4). Register Now Percona is known as the MySQL...
by Avinash Vallarapu | Jun 15, 2018 | Benchmarks, PostgreSQL
Percona has a long tradition of performance investigation and benchmarking. Peter Zaitsev, CEO and Vadim Tkachenko, CTO, led their crew into a series of experiments with MySQL in this space. The discussion that always follows on the results achieved is well known and...
by Dave Avery | Apr 11, 2017 | MySQL, Webinars
Please join Percona’s Senior Technical Operations Architect Tim Vaillancourt as he presents Tuning MongoDB Consistency on April 12, 2017 at 10:00 am PDT / 1:00 pm EDT (UTC-7). Register Now Welcome to part two of Percona’s tuning series. In our previous webinar,...
by Dave Avery | Dec 29, 2016 | Insight for DBAs, MySQL, Percona Live
Welcome to another post in the series of Percona Live featured tutorial speakers blogs! In these blogs, we’ll highlight some of the tutorial speakers that will be at this year’s Percona Live conference. We’ll also discuss how these tutorials can help you improve your...
by Dave Avery | Dec 13, 2016 | MongoDB, Webinars
Please join Percona Senior Technical Operations Architect Tim Vaillancourt on Wednesday December 14, at 10:00 am PST/ 1:00pm EST (UTC-8) as he presents MongoDB System Tuning Best Practices. People give much love to optimizing document design, provisioning, and even...
by Tim Vaillancourt | Aug 12, 2016 | MongoDB
In this post, we’ll discuss tuning Linux for MongoDB deployments. By far the most common operating system you’ll see MongoDB running on is Linux 2.6 and 3.x. Linux flavors such as CentOS and Debian do a fantastic job of being a stable, general-purpose...
by Jay Janssen | Jun 2, 2015 | Insight for DBAs, MySQL
It seems these days if anyone knows anything about tuning InnoDB, it’s that you MUST tune your innodb_buffer_pool_size to 80% of your physical memory. This is such prolific tuning advice, it seems ingrained in many a DBA’s minds. The MySQL manual to this...
by Alexander Rubin | Dec 7, 2013 | MySQL
Because most MySQL production systems probably run on Linux, I’ve decided to place the most important Linux tuning tips that will help improve MySQL performance. There is nothing new here, most of them are well known, however, I’ve decided to collect those...
by Yves Trudeau | Apr 19, 2013 | Hardware and Storage, Insight for DBAs, MySQL
Swapping has always been something bad for MySQL performance but it is even more important for HA systems. It is so important to avoid swapping with HA that NDB cluster basically forbids calling malloc after the startup phase and hence its rather complex...
by Jay Janssen | Feb 17, 2012 | MySQL
This is a time-honored topic, and there’s no shortage of articles on the topic on this blog. I wanted to write a post trying to condense and clarify those posts, as it has taken me a while to really understand this relationship. Some basic facts Most of us know...
by Jay Janssen | Dec 16, 2011 | MySQL
There are about a gazillion FAQs and HOWTOs out there that talk about XFS configuration, RAID IO alignment, and mount point options. I wanted to try to put some of that information together in a condensed and simplified format that will work for the majority of use...
by Justin Swanhart | Apr 4, 2011 | Insight for Developers, MySQL
“The least expensive query is the query you never run.” Data access is expensive for your application. It often requires CPU, network and disk access, all of which can take a lot of time. Using less computing resources, particularly in the cloud, results...
by Yves Trudeau | Dec 17, 2010 | Insight for DBAs, MySQL
Be careful with my findings, I appear to have compile in debug mode, I am redoing the benchmarks. Updated version here. I recently had to work with many customers having large number of connections opened in MySQL and although I told them this was not optimal, I had...
by Yves Trudeau | Oct 25, 2010 | Benchmarks, MySQL
The parameter sort_buffer_size is one the MySQL parameters that is far from obvious to adjust. It is a per session buffer that is allocated every time it is needed. The problem with the sort buffer comes from the way Linux allocates memory. Monty Taylor (here) have...
by Ryan Lowe | May 24, 2010 | Benchmarks, Insight for DBAs, MySQL
InnoDB has an oft-unused parameter innodb_concurrency_tickets that seems widely misunderstood. From the docs: “The number of threads that can enter InnoDB concurrently is determined by the innodb_thread_concurrency variable. A thread is placed in a queue when it...
by Morgan Tocker | Jan 9, 2010 | Insight for Developers, MySQL
There was a discussion on LinkedIn one month ago that caught my eye: Database search by “within x number of miles” radius? Anyone out there created a zipcode database and created a “search within x numer of miles” function ? Thankful for any...
by Devananda van der Veen | Dec 4, 2009 | Benchmarks, MySQL
I recently had the chance to witness the effects of innodb_adaptive_flushing on the performance of InnoDB Plugin 1.0.5 in the wild, which Yasufumi wrote about previously here and here. The server in question was Solaris 10 with 8 disk RAID10 and 2 32GB SSDs used for...
by Matt Yonkovit | Oct 19, 2009 | Benchmarks, Cloud, MySQL
This is part 3 of our series. In part 1 we talked about boosting performance with memcached on top of MySQL, in Part 2 we talked about running 100% outside the data with memcached, and now in Part 3 we are going to look at a possible solution to free you from the...
by Yasufumi Kinoshita | Oct 14, 2009 | Benchmarks, Insight for DBAs, MySQL
For the my previous post, there was comment to suggest to test db_STRESS benchmark on XtraDB by Dimitri. And I tested and tuned for the benchmark. I will show you the tunings. It should be also tuning procedure for general heavy writing workloads. At first, <tuning...
by Yasufumi Kinoshita | Sep 15, 2009 | Benchmarks, Percona Software
As you may know, InnoDB has 2 limits for unflushed modified blocks in the buffer pool. The one is from physical size of the buffer pool. And the another one is oldness of the block which is from the capacity of transaction log files. In the case of heavy updating...
