You’ve made it this far in your MySQL adventure: your digital library boasts neat shelves (tables), well-behaved columns, and students—err, readers—lined up in orderly rows. You can create tables, insert new authors, update overdue fines, and remove that one book nobody wants to talk about. But what happens when you need to make several changes […]

Congratulations, library legend! If you’ve made it this far, you already know how to select rows, join tables, and summarize data in MySQL. You might even feel like the database’s resident Sherlock Holmes, unearthing facts with dazzling efficiency. But what happens when your digital library comes alive, and your once-tidy student and book tables start bursting at the digital […]

Welcome back, library explorer! By now, you’ve learned how to select data with SELECT, peek at your digital shelves, and even master the art of paging through a crowded student register using LIMIT and OFFSET. But what if you want answers to those big questions, like “How many student records have I collected?” or “What’s the earliest book checked […]

Welcome back, library explorer! Now that you’ve mastered the art of keys and relationships in your MySQL adventure, you’re ready for the next plot twist: discovering how data in one table connects to data in another. If you’ve ever wished your database could gossip between its tables—exchanging juicy details about students, books, and more—today’s the […]

MySQL HeatWave is the only fully managed MySQL database service that combines transactions, analytics, machine learning, and GenAI services, without ETL duplication. Also included is MySQL HeatWave Lakehouse, which allows users to query data in object storage, MySQL databases, or a combination of both. Users can deploy MySQL HeatWave–powered apps on a choice of public […]

Explore the top 50 MySQL interview questions and answers fit both for newbies and experienced devs. Get prepared with real-world MySQL queries.

The post Top 50 MySQL Interview Questions and Answers for Every Skill Level  appeared first on Devart Blog.

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 dasini.net - Diary of a MySQL expert.

Congratulations! If you’ve been following along, your digital library is now open for business—with tables for students, books, and all sorts of valuable catalog data. But what’s keeping your library organized, ensuring you don’t accidentally hand out two cards to the same bookworm, or have enrollments referencing students from a parallel universe? This is where […]

Welcome back, library explorers! By now, you’ve learned how to select, filter, and view data from your tables—like peering through your reading room’s card catalog to spot the newest bestsellers, most loyal readers, or anyone who might have “forgotten” to return a book or two. But what happens when your database shelves are overflowing—say, the […]