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Is MySQL’s innodb_file_per_table slowing you down?

 | February 24, 2015 |  Posted In: Benchmarks, InnoDB, MySQL, Percona MySQL Consulting, Percona Server

MySQL’s innodb_file_per_table is a wonderful thing – most of the time. Having every table use its own .ibd file allows you to easily reclaim space when dropping or truncating tables. But in some use cases, it may cause significant performance issues. Many of you in the audience are responsible for running automated tests on your […]

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MySQL benchmarks on eXFlash DIMMs

 | January 26, 2015 |  Posted In: Benchmarks, MySQL

In this blog post, we will discuss MySQL performance on eXFlash DIMMs. Earlier we measured the IO performance of these storage devices with sysbench fileio. Environment The benchmarking environment was the same as the one we did sysbench fileio in. CPU: 2x Intel Xeon E5-2690 (hyper threading enabled) FusionIO driver version: 3.2.6 build 1212 Operating […]

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How small changes impact complex systems – MySQL example

 | December 31, 2014 |  Posted In: Benchmarks, MySQL, Percona Cloud Tools, Percona Server

If you’ve been studying complex systems you know what minor changes might cause consequences of much greater proportions, sometimes causing some effects that are not easily explained at first. I recently ran across a great illustration of such behavior while doing MySQL benchmarks which I thought would be interesting to share. I’m using a very […]

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Streamlined Percona XtraDB Cluster (or anything) testing with Consul and Vagrant

 | December 5, 2014 |  Posted In: Benchmarks, MySQL, Percona Cloud Tools, Percona XtraDB Cluster

Introducing Consul I’m always interested in what Mitchell Hashimoto and Hashicorp are up to, I typically find their projects valuable.  If you’ve heard of Vagrant, you know their work. I recently became interested in a newer project they have called ‘Consul‘.  Consul is a bit hard to describe.  It is (in part): Highly consistent metadata […]

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MySQL benchmarking: Know your baseline variance!

 | November 26, 2014 |  Posted In: Benchmarks, MySQL

Often enough I find MySQL benchmark results where the difference between results is 1% or even less and some conclusions are drawn. Now it is not that 1% is not important – especially when you’re developing the product you should care about those 1% improvements or regressions because they tend to add up. However with […]

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