Last week I had to confront one of those situations where you can't really tell what is going on with a piece of software, and the final conclusion would sound completely crazy if postulated as the initial hypothesis. The regular MySQL commands and utilities fall short in these cases, so I had to resort to the three tools reviewed in this article.The problem we were diagnosing was this: at some point in time, a number of queries that use to take less than one minute to execute, started to take between five to 15 minutes. We needed to get an insight into what was going on inside the MySQL server.MySQL TunerAt some point in a long diagnosis process, MySQL's "SHOW [GLOBAL] VARIABLES" and "SHOW [GLOBAL] STATUS" are nothing more than a long list of numbers. Going through a team mate's notes on another issue, I came across MySQL Tuner. This is an extremely simple tool that takes the information from the  []

I don't want to post the link to this (perhaps, it was left public unintentional?) but here is what I stumbled upon recently. This is a log of production maintenance of IT systems in Perth, Western Australia (as far as I could say):Good idea but

When using Oracle, the data dictionary provides us with tons of tables and views, allowing us to fetch information about pretty much anything within the database. We do have information like that in MySQL 5.0 (and up) in the "information_schema" database, but it's scattered through several different tables.Sometimes a client asks us to change the datatype of a column, but forgets to mention the schema name, and sometimes even the table name. As you can imagine, having this kind of information is vital to locate the object and perform the requested action. This kind of behaviour must be related to Murphy's Law.In any case, I'd like to share with you a simple stored procedure that has helped us a lot in the past.

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

The Partition Helper is a Perl script that converts some simple options into lots of partitions. Good for creating partitions on historical data.