As I outlined in Part 1 MySQL Proxy can be one tool for performing SQL analysis. The impact with any monitoring is the art of monitoring will affect the results, in this case the performance. I don’t recommend enabling this level of detailed monitoring in production, these techniques are designed for development, testing, and possibly stress testing.

This leads to the question, how do I monitor SQL in production? The simple answer to this question is, Sampling. Take a representative sample of your production system. The implementation of this depends on many factors including your programming technology stack, and your MySQL topology.

If for example you are using PHP, then defining MySQL proxy on a production system, and executing firewall rules to redirect incoming 3306 traffic to 4040 for a period of time, e.g. 2 …

Just in case you missed the live event, we have a recording of the ZFS + SSD for databases webcast

Listen Now

You can also download the slides from Slide share. Download Slides

Track your running miles using Apache Wicket, GlassFish, NetBeans, MySQL, and YUI Charts

An earlier blog introduced an application that provides basic tracking of your running distance and generate charts to monitor progress. The idea is to build the same application using different Web frameworks and deploy on GlassFish and then evaluate each framework based upon a pre-defined critieria. The first version was built using JRuby and Ruby-on-Rails. This blog announces the completion of the Apache …

Track your running miles using Apache Wicket, GlassFish, NetBeans, MySQL, and YUI Charts

An earlier blog introduced an application that provides basic tracking of your running distance and generate charts to monitor progress. The idea is to build the same application using different Web frameworks and deploy on GlassFish and then evaluate each framework based upon a pre-defined critieria. The first version was built using JRuby and Ruby-on-Rails. This blog announces the completion of the Apache …

Track your running miles using Apache Wicket, GlassFish, NetBeans, MySQL, and YUI Charts

An earlier blog introduced an application that provides basic tracking of your running distance and generate charts to monitor progress. The idea is to build the same application using different Web frameworks and deploy on GlassFish and then evaluate each framework based upon a pre-defined critieria. The first version was built using JRuby and Ruby-on-Rails. This blog announces the completion of the Apache …

TOTD #97 showed how to install GlassFish Tools Bundle for Eclipse 1.1. Basically there are two options - either install Eclipse 3.4.2 with WTP and pre-bundled/configured with GlassFish v2/v3, MySQL JDBC driver and other features. Or if you are using Eclipse 3.5, then you can install the plug-in separately and get most of the functionality.

TOTD #98 showed how to create a simple Metro/JAX-WS compliant Web service using that bundle and deploy on GlassFish.

This Tip Of The …

TOTD #97 showed how to install GlassFish Tools Bundle for Eclipse 1.1. Basically there are two options - either install Eclipse 3.4.2 with WTP and pre-bundled/configured with GlassFish v2/v3, MySQL JDBC driver and other features. Or if you are using Eclipse 3.5, then you can install the plug-in separately and get most of the functionality.

TOTD #98 showed how to create a simple Metro/JAX-WS compliant Web service using that bundle and deploy on GlassFish.

This Tip Of The …

TOTD #97 showed how to install GlassFish Tools Bundle for Eclipse 1.1. Basically there are two options - either install Eclipse 3.4.2 with WTP and pre-bundled/configured with GlassFish v2/v3, MySQL JDBC driver and other features. Or if you are using Eclipse 3.5, then you can install the plug-in separately and get most of the functionality.

TOTD #98 showed how to create a simple Metro/JAX-WS compliant Web service using that bundle and deploy on GlassFish.

This Tip Of The …

I have several side projects when time permits and one is that of benchmarking various MySQL technologies (e.g. MySQL 5.0,5.1,5.4), variants (e.g. MariaDB, Drizzle) and storage engines (e.g. Tokutek, Innodb plugin) and even other products like Tokyo Cabinet which is gaining large implementations.

You have two options with benchmarks, the brute force approach such as Sysbench, TPC, sysbench, Juice Benchmark, iibench, mysqlslap, skyload. I prefer the realistic approach however these are always on client’s private data. What is first needed is better access to public data for benchmarks. I have compiled this list to date and I am seeking additional sources for reference.

• Feebase – Data is in clean loadable format
• IMDB – Not clean, but Roland Bouman is working on …

Over the last month I have been working on a ZFS Tuning for Databases presentation. I'll be presenting it live tomorrow 8/26/09 at 8 AM PST.

This based on a lot of work done at Sun as well as in the community. With the massive adoption of Solid State Devices (SSDs) (thank you iPOD) the storage market just got a whole lot more interesting. Incorporating SSDs into a ZFS pool is a breeze. This presentation is meant to help you get the best out of the ZFS + SSD combination for databases. We look into Postgres, MySQL and Oracle. I also provide a quick into into Sun's unified storage 7000 series systems.

If you are interested do Register Now