Here is a screencast about MySQL for Developers

If you are a developer using MySQL, you should learn enough to take advantage of its strengths, because having an understanding of the database can help you develop better-performing applications. This session will talk about MySQL database design and SQL tuning for developers. Some topics include:

* MySQL Storage Engine Architecture
* Schema, the basic foundation of performance
* Think about performance when choosing Data Types
* Indexes and SQL tuning
* Understanding SQL Statements using EXPLAIN
* Scans and seeks
* Solving performance problems in your queries
* A Few Things to consider for JPA/Hibernate devlopers, Lazy loading and Optimistic locking


http://mediacast.sun.com/users/caroljmcdonald/media/mysqlproj.swf

You can download the slides here
https://techdayscode.dev.java.net/servlets/ProjectDocumentList?fold...

You can read more about this at
MySQL for Developers
GlassFish and MySQL, Part 4: Creating a RESTful Web Service and JavaFX Client
High Performance MySQL book
MySQL Pluggable Storage Engine Architecture
MySQL Storage Engine Architecture, Part 2: An In-Depth Look
Optimizing Queries with EXPLAIN
Java Persistence with Hibernate book
Jay Pipes blog
Colin Charles blog
mysql performance blog
Ronald Bradford blog
Taking JPA for a Test Drive
Pro EJB 3: Java Persistence API
Pro MySQL, Chapter 6: Benchmarking and Profiling

Views: 50

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

QCon AI NY 2025 - Becoming AI-Native Without Losing Our Minds To Architectural Amnesia

Tracy Bannon's QCon AI NY 2025 talk revealed how the rise of AI agents risks amplifying common architectural failures. She emphasized the distinctions between bots, assistants, and agents, highlighting the need for governance, clear identity controls, and disciplined decision-making to address “agentic debt.” Bannon called for architects to apply foundational principles amid rapid AI adoption.

By Andrew Hoblitzell

How Artificial Intelligence Can Help Us Connect with Customers

In software development, success means going beyond meeting requirements. We must create products that surprise and delight users and are innovative, create impactful solutions, Ken Hughes said in the keynote “Connection is Everything”. AI can help us connect with customers and create better user experiences.

By Ben Linders

AWS and Google Cloud Preview Secure Multicloud Networking

In a surprising move, AWS and Google Cloud have recently partnered to simplify multicloud networking, introducing a common standard and leveraging "AWS Interconnect - Multicloud" and "Google Cloud's Cross-Cloud Interconnect". The new option makes it easier for organizations to manage and secure workloads across both clouds, with Azure expected to join in 2026.

By Renato Losio

Orion: New Zero-Telemetry, Zero-Ad, AI-Proof Browser for Privacy-Focused Users

Kagi has released Orion 1.0, a web browser that features privacy by default, zero telemetry, and no integrated ad-tracking technology. Orion supports both Chrome and Firefox extensions and intentionally excludes AI from its core to prioritize security, privacy, and performance. Orion targets macOS and iOS, with upcoming Linux and Windows versions. Orion is based on WebKit.

By Bruno Couriol

Cactus v1: Cross-Platform LLM Inference on Mobile with Zero Latency and Full Privacy

Cactus, a Y Combinator-backed startup, enables local AI inference to mobile phones, wearables, and other low-power devices through cross-platform, energy-efficient kernels and a native runtime. It delivers sub-50ms time-to-first-token for on-device inference, eliminates network latency, and defaults to complete privacy.

By Sergio De Simone

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service