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The other day at PSCE I worked on a customer case of what turned out to be a problem with poor data locality or a data fragmentation problem if you will. I tought that it would make a good article as it was a great demonstration of how badly it can affect MySQL performance. And while the post is mostly around MyISAM tables, the problem is not really specific to any particular storage engine, it can affect a database that runs on InnoDB in a very similar way.

Often application needs to know where a user is physically located. The easiest way to figure that out is by looking up their IP address in a special database. It can all be implemented in MySQL, but I often see it done inefficiently. In my post I will show how to implement a complete solution that offers great performance.

I had to benchmark an EC2 instance to see whether a database could be safely moved to it. It is a good practice, which helps avoiding surprises when an instance or its storage are allocated in a noisy neighborhood, where the neighbors use so much resources that it affects the performance of our MySQL database. It is understandable that one can never get very reliable results on EC2, this is a shared environment after all, and that some fluctuations should be expected, however it is still good to know the numbers. I started my benchmarks and everything seemed fine at first, but then sometimes statistics I was getting started looking quite odd.

Security-Enhanced Linux or SELinux is a Linux kernel feature that provides a mechanism for supporting access control security policies. It enables a system administrator to create an extra set of rules that define allowed operations for programs even after the standard controls are checked. In other words, SELinux can help improving system security by restricting access of an application to only a few resources it actually needs, which makes it more difficult for an attacker to gain access to the entire system through exploiting any possible vulnerabilities in the application. However as rarely anything in life is free, is there any price we have to pay to use SELinux on a MySQL server?

There are a few ways to implement counters. Even though it's not a complex feature, often I see people having problems around it. This post describes how bad implementation can impact both application and MySQL performance and how to improve it. A customer asked me for help with performance problem they were facing. I logged into their database and found many client connections waiting for table locks. Almost all threads were stuck on one, small table called hits. What was the reason?