NY Users Group – Analyzing MySQL Status and your SQL

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 figures.
  • Has histogram of SQL with avg and max execution times.

You get the best of both worlds, you can see SQL access live, get statistics of this, and then be able to drill down to every instance of a given SQL statement for more information.

You can get a copy of my slides Here . You can get a full tar of my demo work here . This includes MySQL Proxy, My Bench for some benchmarks and the Sakila Sample Database.

Tagged with: Databases MySQL

Related Posts

Improving container security in your CI/CD pipeline

At PyCon AU 2026 , the presentation Your Python container is 90% stuff you didn’t ask for by Scott Norris at Chainguard really exposed the impact of being lazy in container management for security purposes.

Read more

My take on PyCon Australia 2026

PyCon AU 2026 held in Brisbane this week was a five day event for the Python community. With specialized tracks and dedicated tutorial and engineering days there was a wide variety of content available.

Read more

Fixing Old Software Bugs Without Thinking

I previously came across an issue in my benchmarking work where I relied on the Latency Histogram section of sysbench output. On Linux it worked fine — I generally ran my workload there, so it never mattered.

Read more