This paper is an introduction to the new 'performance schema' feature, which will be part of the upcoming MySQL 5.5 release. Covering in details every part of the performance schema would require much, much more than a simple article. The pace of this teaser is voluntarily fast, to have a quick overview of the new landscape, and help users already familiar with MySQL to understand by examples what the performance schema provides.

Shlomi shows a real world scenario where the naive approach to monitoring fails spectacularly.

A few days ago I had a new idea for a blog post. A post about what it really takes to be a good database administrator. I began by researching what others had done on the topic. At the end of this post you will find links to six of the posts I found that provided some insight into this question. Even after uncovering this information, I thought I could add something to the mix from my own experiences. So here we go!

It's been a while since the MySQL Management Plug-in 0.42 was released. Since then, I quietly updated it to version 1.0. The changes were very few; the biggest news was that the plug-in was certified by Oracle and added to OTN Oracle 10g Grid Control Extensions Exchange (see at the bottom).I think the ne

I was contacted by the folks at MONyog and asked if I would review MONyog. Since using MONyog is something I have been wanting to do for a while, I jumped at the chance. Of course, "jumped" is relative; Rohit asked me at the MySQL User Conference back in April, and here it is two months later, in June. My apologies to folks for being slow.This review is an overall review of MONyog as well as specifically reviewing the newest features released in the recent beta (Version 2.5 Beta 2). Feature requests are easily delineated with (feature request). This review is quite long, feel free to bookmark it and read it at your leisure. If you have comments please add them, even if it takes a while for you to read this entire article.While the webyog website gives some information about what MONyog can do, it is a bit vague about what MONyog is, although there is a link to a PDF whitepaper on What is MONyog? which does answer  []

This is an issue that keeps rearing its ugly head over and over again, and since it greatly affects performance, it is most important that DBAs of any DMBS running on Linux come to grips with it. So I decided to do some research and try different settings on my notebook. Here are my findings.What can you find on the web?A Wikipedia search for the word swappiness will come up empty (any volunteers out there want to write an article?). A Google search will show some pretty old material---the best article I found is from 2004: Linux: Tuning Swappiness. This article includes a detailed discussion with some interesting remarks by Andrew Morton, a Linux kernel maintainer.So, what is swappiness?

Debugging/monitoring MySQL by reading the process memory

The MySQL 5.1 offers new GLOBAL_STATUS information schema tables. These can be used to report certain performance metrics, such as the number of queries processed per certain seconds, NOT overall avg queries per second, Its good to know how much qps in peak hours.

inotify is a handy standard Linux kernel tool to track file access/writes under a live server.

How to simulate loads on MySQL servers using Proxy and MockLoad