VillageSQL
VillageSQL Server 0.0.5 is now available (and marked as the stable release for installs). This release is focused on the extension lifecycle: upgrading an extension in place, pinning the exact version you install, and seeing what's running. The extension framework also adds variable-length custom types
MySQL
After years of MySQL development happening largely behind closed doors, Oracle has been making real progress towards making the MySQL project more open and community-oriented. Thanks and recognition should go to Heather VanCura and the MySQL team for driving these major initiatives which require heavy lifting on a 30-
VillageSQL
MySQL's string matching is precise by design. LIKE '%shirt%' finds "shirt." It won't find "shrt" or "shrit" or anything a user actually typed when they meant "shirt." Handling that in MySQL means regex patterns that grow
MySQL
As part of building the MySQL Community, we are going to publish a curated overview of MySQL and database news and events that you might have missed over the last period. If you want to get these updates, just subscribe to the blog. Enjoy! MySQL News: Note: Aggregated MySQL news
MySQL
VillageSQL launched with C++ as the language for writing extensions — C++ is familiar territory for MySQL developers. Rust has become a go-to language for systems and infrastructure developers: the same people who build database connectors, storage engines, and performance-critical services. VillageSQL's new Rust SDK adds it
VillageSQL
VillageSQL is a tracking fork of MySQL that adds the VillageSQL Extension Framework (VEF). Extensions are written in C++ (with a Rust SDK coming soon), packaged as .veb bundles, and installed with SQL. The fastest way to understand what VEF can do is to build something with it. To make
VillageSQL
VillageSQL Server 0.0.4 is now available (and marked as the stable release for installs). 0.0.4 takes the parameterized types and SQL integration from 0.0.3 and extends them in two directions: * smarter server reasoning (inference rules, custom aggregates) * operational completeness (config, metrics, secrets management) Extensions
MySQL
Most AI integrations with a database follow the same pattern: your application fetches rows, ships them to an AI API, waits for a response, then writes the result back. It works, but it means adding a service layer to do something that's conceptually simple—apply a function to