MySQL
At Kscope this year, I attended a half day in-depth session entitled Data Warehousing Performance Best Practices, given by Maria Colgan of Oracle. In that session, there was a section on how to determine I/O throughput for a system, because in data warehousing I/O per second (iops) is less important than I/O throughput (how much actual data goes through, not just how many reads/writes).
IOUG has a free series of three webinars on upgrading MySQL. Each webinar is an hour long, and it starts with a webinar by me tomorrow at 12 noon Central time (GMT-5) on “Why and How to Upgrade to MySQL 5.1″. The webinar assumes you are upgrading from MySQL 5.0 to MySQL 5.1, and talks a little bit about the new features, server variables, and what you need to know when upgrading to MySQL 5.1.
One common question I get is how to use partitioning instead of MERGE tables. The process I use involves using stored procedures to create and drop partitions. This article will go over the stored procedures I use; special thanks to Roland Bouman for taking a look and giving great feedback to optimize this process.
Those of us that have been around for the past 3 or so years know that there was a point in time where there were two different editions of MySQL available, back when MySQL Enterprise and MySQL Community were actually different. But that experiment was a complete failure, and the code is now the same. MySQL Enterprise does package the software in a way that is not available to the community, specifically the quarterly service pack (QSP) releases. But the actual code….the same.
Ronald Bradford and I produced a successful MySQL track at Kaleidoscope (hereinafter referred to as Kscope). With a speaker list of Philip Antoniades, Josh Sled and Craig Sylvester of Oracle, Laine Campbell of PalominoDB, Patrick Galbraith of Northscale, Sarah Novotny of Blue Gecko, Padrig O’Sullivan of Akiba, Dossy Shiobara of Panoptic.com and Matt Yonkovic of Percona, we knew the technical content was going to be great.
Today at Kaleidoscope I will be doing a 90-minute session comparing MySQL’s SQL syntax to the ANSI/ISO SQL:2003 standard, entitled What Do You Mean, “SQL Syntax Error”? You can download the PDF slides here.
MySQL does not follow the ANSI SQL standard for quoting. MySQL’s default quoting behavior is that either single or double quotes can be used to quote a string (this gets me into trouble when I work with Oracle databases, as double quotes do not indicate a string!).
OpenSQL Camp is a free unconference for people interested in open source databases (MySQL, SQLite, Postgres, Drizzle), including non-relational databases, database alternatives like NoSQL stores, and database tools such as Gearman. We are not focusing on any one project, and hope to see representatives from a variety of open source database projects attend.
By now you know that there is a MySQL Track during next week’s ODTUG Kaleidoscope in Washington, DC. Ronald Bradford and I organized the schedule at the last minute (Ronald did a lot of the work!). It was difficult to fill a schedule with 19 sessions that are either 1 hour or 1.5 hours long, and to do it I ended up with three presentations. At each presentation I will be giving away a copy of The MySQL Administrator’s Bible, so be sure to show up! All MySQL track sessions are in Maryland C, and all times are Eastern.
So how does an Oracle DBA go about learning MySQL?
Obviously you start by reading the docs. Specifically, I looked for the MySQL equivalent of the famous Oracle “Concepts Guide”.
Unfortunately, it doesn’t exist. I couldn’t find any similar overview of the architecture and the ideas behind the database. The first chapter of “High Performance MySQL” had a high level architecture review, which was useful but being just one chapter in a book, it lacked many of the details I wanted to learn. Peter Zaitsev’s “InnoDB Architecture” presentation had the kind of information I needed – but covered just InnoDB.
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