The latest from the MySQL community

Let’s now see how we can connect to our MySQL HeatWave DB System, which was deployed with the OCI Hackathon Starter Kit in part 1. We have multiple possibilities to connect to the DB System, and we will use three of them: MySQL Shell in the command line MySQL Shell is already installed on the […]

In our earlier post, we unpacked the mechanics of MySQL HeatWave maintenance, the behind-the-scenes process that keeps your MySQL environments secure, stable, and optimized without changing your database version. We also touched on how Auto Minor Version Upgrades occur when a version reaches the end of its lifecycle. With this update, MySQL HeatWave introduces Configurable Maintenance Windows and Auto-Upgrade Controls, giving you […]

If you want to create a new application, test it, and deploy it on the cloud, Oracle Cloud Infrastructure provides an always-free tier for compute instances and MySQL HeatWave instances (and more). If you are a developer, it can also be complicated to start deploying to the cloud, as you need to figure out the […]

“ Of course, in practice, no query optimizer is perfect and there will be edge cases where the way a query is written will impact its performance.”

Q1. What are your current responsibilities as Principal Member of Technical staff?

Kaan Kara : I am contributing as the tech lead for query execution in HeatWave. My main responsibility is implementing new features in HeatWave, maintaining its stability, and supporting our customers with their HeatWave-related use cases.

Q2. Let´s talk about improving database query execution time. The way a query is written has a massive impact on its performance, and developers often face hurdles in structuring them optimally. What is your take on this?

Kaan Kara : SQL is a declarative language. That means, in ideal terms, the database optimizer should produce the best …

Bridging natural language processing with semi-structured data brings both opportunity and complexity.

MySQL HeatWave GenAI’s NL2SQL feature shows how natural language can simplify data interaction — even for JSON documents. Yet, because JSON embeds both data and metadata within a single column, LLMs may struggle without explicit schema cues.

By creating well-structured views that reveal JSON’s internal organization, you can transform unstructured data into a relational format the model understands — improving both query accuracy and overall usability.

This approach highlights how MySQL HeatWave continues to evolve as a powerful engine for intelligent, natural language–driven analytics.

The post Querying the Unstructured: Natural Language to SQL for JSON Data first appeared …

Having explored the innovative MySQL HeatWave technology that converts Natural Language into SQL (Ask Your Database Anything: Natural Language to SQL in MySQL HeatWave), our next article in this series, dives into a practical use case demonstrating how an AI DBA Assistant can significantly simplify your query generation workflow. In MySQL, there are 3 specialized […]

The post Let Your AI DBA Assistant Write Your MySQL Queries first appeared on Data Daz (dasini.net) - Data Systems, AI, and Real-World Insights.

Natural Language to SQL in MySQL HeatWave makes data accessible to everyone, not just SQL experts. By turning plain English into optimized queries, it removes barriers and speeds up insights. While best practices help ensure accuracy, the feature already shows how LLMs are transforming the way we work with data. With the NL_SQL routine, asking your database questions is as simple as asking a colleague.

The post Ask Your Database Anything: Natural Language to SQL in MySQL HeatWave first appeared on Data Daz (dasini.net) - Data Systems, AI, and Real-World Insights.

As databases grow, DBAs and developers often face a tough choice:
+ Keep historical data in production tables and risk slow queries
+ Archive it and lose fast access

With HeatWave, you don’t have to choose. You can archive old partitions, keep recent data in production, and still run lightning-fast queries across all your data.

The post Archive Smarter, Query Faster: Unlocking MySQL Performance with HeatWave first appeared on Data Daz (dasini.net) - Data Systems, AI, and Real-World Insights.

Have you already tried to upgrade the MySQL version of your MySQL HeatWave instance in OCI that is deployed with Terraform? When you tried, you realized, I hope you didn’t turn off backups, that the instance is destroyed and recreated new! This is our current MySQL HeatWave DB System deployed using Terrafrom: And this is […]

HeatWave MySQL Database Audit brings powerful enterprise-grade auditing capabilities to the cloud, allowing organizations to monitor and track database activity for security, compliance, and performance optimization. With features like customizable filters, real-time monitoring, minimal overhead, and seamless integration with MySQL tools, it enables administrators to log critical operations, detect threats, and maintain detailed records for regulatory requirements. The audit system is easy to set up, supports granular activity tracking, and provides actionable insights directly through the SQL interface.

The post HeatWave MySQL Database Audit first appeared on Data Daz (dasini.net) - Data Systems, AI, and Real-World Insights.