July 28, 2014

How to avoid even more of the common (but deadly) MySQL development mistakes

On July 16 I’ll be presenting my next webinar focusing on common mistakes committed by MySQL users. How to Avoid Even More of the Common (but Deadly) MySQL Development Mistakes “Why can’t I just save my data to a file?” Using an SQL database seems so complex to get right, and for good reason. The […]

How to avoid common (but deadly) MySQL development mistakes

MySQL software developers are under pressure to do more in less time and create applications that adapt to ever-changing requirements. And it’s true that some of a developer’s time is wasted when his or her method of optimizing involves trying every combination of code and index definition. There is a better way. And next Wednesday […]

Webinars: Common (but deadly) MySQL mistakes

On January 22 I’ll be presenting the first of a series of two new webinars focusing on avoiding common MySQL mistakes: How to Avoid Common (but Deadly) MySQL Operations Mistakes. “Don’t bother me with DBA ‘best practices,’ we have real work to get done.” So go the famous last words from overworked IT managers (we’ve […]

Webinar: SQL Query Patterns, Optimized

Next Friday, May 31 at 10 a.m. Pacific, I’ll present Percona’s next webinar, “SQL Query Patterns, Optimized.” Based on my experiences solving tough SQL problems for Percona training and consulting, I’ll classify several common types of queries with which developers struggle. I’ll test several SQL solutions for each type of query objective, and show how […]

Analyzing Slow Query Table in MySQL 5.6

Next week I’m teaching an online Percona Training class, called Analyzing SQL Queries with Percona Toolkit.  This is a guided tour of best practices for pt-query-digest, the best tool for evaluating where your database response time is being spent. This month we saw the GA release of MySQL 5.6, and I wanted to check if any […]

Webinar on Read/Write Splitting with PHP

I’ll be presenting a webinar next Wednesday, January 23 at 10 a.m. (Pacific Time), about issues application developers should think about for scaling out read-query traffic using multiple MySQL instances in a replication pair. Specifically, about the care we have to take because replication is asynchronous.  This means the slave  may not have current data […]