This month I continued my Performance Analysis talks at the Local NY MySQL Meetup. Previous discussions can be found here.

Our focus was a more in-depth look at gathering and reviewing MySQL Status and your applications SQL statements using MySQL Proxy. Even after preparing the slides over the weekend Jan added more functionality that was particularly interesting. So today while addressing a client issues I further extended this work to do even more funky monitoring.

Today’s monitoring.lua script does:

• Logs to file, Date/Time, Query Time, Response Time, Rows Affected, Normalized SQL and Actual SQL for each query
• Has histogram of tables used with read/write …

This month I continued my Performance Analysis talks at the Local NY MySQL Meetup . Previous discussions can be found here . Our focus was a more in-depth look at gathering and reviewing MySQL Status and your applications SQL statements using MySQL Proxy .

After an absence of one year, I've taken the bold step of submitting a couple of proposals in the call for papers for the 2008 MySQL conference. It would be great to get something in, being part of the event, and getting to meet many old MySQL Community friends (and former colleagues, of course) again from around the world.

While truly being on the outside now (just MySQL AB wise, as I'm still involved with the product through Open Query), I suppose I do have the advantage of having some idea about what the program gang will be looking for, what type of proposal has the best chance for being both picked and being actually interesting for the attendees. So I'm hopeful, but I know that there'll be a lot of other good proposals also... the competition will be tough.

Progress on High Performance MySQL, Second Edition is coming along nicely. You have probably noticed the lack of epic multi-part articles on this blog lately – that’s because I’m spending most of my spare time on the book. At this point, we have significant work done on some of the hardest chapters, like Schema Optimization and Query Optimization. I’ve been deep in the guts of those hard optimization chapters for a while now, so I decided to venture into lighter territory: Backup and Recovery, which is one of the few chapters we planned to “revise and expand” from the first edition, rather than completely writing from scratch.

The following is the current list of available JDBC 4.0 drivers:

• Java DB/Apache Derby
• MYSQL Connector/J 5.1
• Oracle 11g
• inet software for Microsoft SQL Server(Merlia driver) and for Oracle (Oranxo driver).
• Atinav aveConnect 4.0 for Microsoft SQL Server
• DataDirect 3.7 has also introduced some JDBC 4.0 features

And this has been said before but I can’t help but say it again…

In the latest Oracle Magazine, Tom Kyte and Ari Kaplan’s columns both tout one of 11g’s new features – the “server results cache” or “query result cache” (as the authors referred to it, respectively) . They both describe it as a “great new feature”. Neither happens to mention that MySQL has had this since version 4.0. It rankles me. It looks like there are a lot of truly “great new features” in 11g; let’s give credit for this one where it’s due.

This release is part of the unstable 1.5 branch. Its features will ultimately go into the stable 1.6 branch. You can download it from the innotop-devel package.

The major change is I've ripped out the W (Lock Waits) mode and enabled innotop to discover not only what a transaction is waiting for, but what it holds too. The new mode that replaces W is L (Locks). My last article goes into more detail on this.

This article shows you how to use a little-known InnoDB feature to find out what is holding the lock for which an InnoDB transaction is waiting. I then show you how to use an undocumented feature to make this even easier with innotop.

The following is the current list of available JDBC 4.0 drivers:

• Java DB/Apache Derby
• MYSQL Connector/J 5.1
• Oracle 11g
• inet software for Microsoft SQL Server(Merlia driver) and for Oracle (Oranxo driver).
• Atinav aveConnect 4.0 for Microsoft SQL Server
• DataDirect 3.7 has also introduced some JDBC 4.0 features

Yes, it's a hard habit to break. Having that glass walled tall building replaced by a humbled "home office" that could resemble anything from a kitchen table to wine cellar to converted bedroom or even garage.

But if you're starting from scratch with seed funds at best or going into round A and the lease isn't signed yet, take a closer look! You might like what you see and the investors, shalt you have them already, might like your thinking.

The savings in gasoline, commute tempers, lack of road rage, blood pressure medications, makes this look very "green" and hip today. Even Al Gore (no, I'm actually not a fan) would endorse it as a global warming take action frontier type go getter decision. Go MySQL!

Fact is, we do it because it just makes sense! Most, but not all, of our employees work from home at MySQL.

The benefits of not having to commute to work saves a ton of time, and having …