I just wanted to tip my hat to the MySQL Enterprise Tools Engineering team for another great release of the Enterprise Monitor. Not to name names, but I want to give a special thanks to a team that always over delivers on a collective commitment to producing quality software. So, a mega thanks to:

Andy Bang, Sloan Childers, Darren Oldag, Eric Herman, Jan Kneschke, Kay Roepke, Mark Matthews, Bill Weber, Diego Medina, Marcos Palacios, Carsten "Pino" Segieth, Josh Sled, Keith Russell, Mark Leith, Heidi Bergh-Hoff, and Gary Whizin (and also welcome Michael Schuster!)

Yet another great job guys!

The new version, 2.1, was posted as GA early on Tuesday and it is quite possibly the best release of the Enterprise Monitor to date.

For those not familiar with the Enterprise Monitor, it is included in a MySQL Enterprise







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MySQL just released their new MySQL Query Analyzer (link to a trial), and recently wrote up an interview with Mark Matthews about it. If you haven’t read that article, go ahead and do it. I have not used this software, but I fully believe its functionality is quite nice. But there is at least [...]

From a performance standpoint, sometimes even tightly tuned queries can cause a performance drag. The common problem here is not one of actual query performance, rather it is a function of:

- the velocity and frequency that a query is submiited for execution
- the total execution time of the aggregated executions

This could be symptomatic of an application not properly configured for caching (see Darren Oldag's blog on this!), or just overall poor design. Regardless of why, when or how we all know it happens. The trouble with this particular problem is that when a query is tuned, or very simple, it is usually not suspect for being a resource hog. Pulling aggregates for number of execs and total exec time for specific queries is a little




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One of the biggest problems I faced as a field DBA was defending my production databases against poorly performing SQL code. Talking to folks at the MySQL UC, during customer visits and trolling the MySQL forums/blogs confirms that this is a common problem and even more challenging when a performance problem pops up during times when no code promotions have taken place.

Traditional/popular way of finding bad SQL code
For MySQL DBAs the challenge to identify and isolate resource intensive SQL code is really two-fold; job #1 is to find the offending code (after that the chore becomes fixing it so it performs, but that is a topic for another post). Most MySQL DBAs have used the MySQL Slow Query Log ("SQ Log") at some point to help with job #1. For those not familiar, the SQ Log is enabled by starting MySQL with --log-slow-queries[=file_name]


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I have gotten a few questions around my 7/29 blog posting on agent vs client-side products and wanted to make it clear that our decision to go with a distributed agent architecture was a strategic decision that has paved the way for us to deliver on our overall "pain point" addressing roadmap. True, building a client-side app would have meant a faster go-to-market delivery, but that path would have imposed serious limitations on our ability to address and alleviate common pain points around the use and scaling of apps on MySQL.

So what does an agent really do for us from a strategic standpoint? Without revealing too many details (well, these things have already been openly discussed with customers and presented in our MySQL UC 2008 Product roadmap

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We are quickly approaching opening up the MySQL Query Analyzer for general beta and I wanted to pass along an open invite to the following related and informational events.

On 8/13, I will be doing a micro level presentation on MySQL Enterprise. Please attend and learn more about the database software, monitoring and advisor services and support solutions that make up a subscription. I plan to do a demo of the Enterprise Monitor and the new Query Analyzer; that alone makes attending worth the price of admission (in this case 45 minutes of your time!). Learn more and register here (http://mysql.com/news-and-events/web-seminars/display-179.html).

On 8/20, I will be doing a presentation on the new Query Analyzer. This will be a technical discussion around how DBAs monitor for bad queries now and how the Query Analyzer makes the job much



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In my 14 years in development I learned that outside of poor schema design, nothing drains the performance of an application more than poorly performing SQL code. Even code that ran well on day one of production would sometimes come back to bite at the worst possible times. Even worse, as a DBA I was consistently asked to bail out a development team that was either tuning their code before the rush to production or that was trying to finger code that had fallen victim to a dropped or changed index. Never fun.

As a Product Manager with MySQL I have learned from meeting with friends/customers that this experience hasn't really changed much since I left the field. I hear things like:

- MySQL is not well instrumented for tracking code level performance metrics
- Logs are OK, but not centralized and too low-level for easy navigation




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