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Displaying posts with tag: Heatwave (reset)
Deploying on OCI with the starter kit – part 9 (deploying a full app)

We have reached the end of our series on deploying to OCI using the Hackathon Starter Kit. For this last article, we will see how to deploy an application using Helidon (Java), the MySQL REST Service, and OCI GenAI with Lanchain4J. We use Helidon because it’s a cool, open-source framework developed by Oracle. It’s lightweight […]

Deploying on OCI with the starter kit – part 8 (using MySQL REST Service)

The starter kit deploys a MySQL HeatWave DB System on OCI and enables the MySQL REST Service automatically: The REST Service enables us to provide access to data without requiring SQL. It also provides access to some Gen AI functionalities available in MySQL HeatWave. Adding data to MRS using Visual Studio Code To be able […]

Deploying on OCI with the starter kit – part 5 (connecting to the database II)

In part 4 of our series on the OCI Hackathon Starter Kit, we saw how to connect to the deployed MySQL HeatWave instance from our clients (MySQL Shell, MySQL Shell for VS Code, and Cloud Shell). In this post, we will see how to connect from an application using a connector. We will cover connections […]

Deploying on OCI with the starter kit – part 4 (connecting to the database)

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 […]

Extending Flexibility in MySQL HeatWave Maintenance: Introducing Configurable Maintenance

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 […]

Deploying on OCI with the starter kit – part 1

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 […]

On Database Query Performance in HeatWave and MySQL. Interview with Kaan Kara 

 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 …

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Querying the Unstructured: Natural Language to SQL for JSON Data

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 …

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Let Your AI DBA Assistant Write Your MySQL Queries

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 dasini.net - Diary of a MySQL expert.

Ask Your Database Anything: Natural Language to SQL in MySQL HeatWave

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 dasini.net - Diary of a MySQL expert.

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