The latest from the MySQL community

MySQL NDB Cluster 9.x continues to focus on the qualities that matter most in production: clear operational insight, predictable behaviour under failure, efficient application access, and faster recovery. This release series adds practical observability across the cluster, strengthens several exceptional paths, and expands the control available to users. Better visibility into cluster operation Diagnosing a […]

PostgreSQL has a rapidly evolving vector ecosystem. MySQL is earlier on that road, but the community is hard at work catching up. MariaDB ships its own HNSW index, Google engineers have shared a ScaNN-based vector index on MySQL's own vector index proposal, Percona is building an HNSW index inside InnoDB, and VillageSQL is building vector search as an extension with vsql-vector.

We want vector search on MySQL to be something that teams can …

The October 2026 MySQL releases are now available, including: MySQL 26.10 brings additional capabilities to Community Edition, new options for building REST applications, and improvements to database operations and developer tools. MySQL 9.7.4 and MySQL 8.4.13 continue maintenance updates for the supported LTS release lines. October MySQL Server releases MySQL 26.10 Innovation delivers new functionality […]

With MySQL 26.10, we’re announcing the general availability of the MySQL REST Service (MRS) Component, an installable component that runs MRS directly inside MySQL Server. MRS: the MySQL REST Service Many modern applications, well, not just applications, but also tools, CLIs, CI pipelines, and automation, use HTTP and JSON to communicate with other systems. For […]

MySQL 26.10 is here! This release brings MySQL REST Service into the server, expands Community Edition capabilities, and adds more control for applications using JSON Relational Duality Views. Here’s a look at the highlights. MySQL REST Service joins the server MySQL REST Service (MRS) is now available as a MySQL Server component, enabling HTTPS endpoints […]

JSON Duality Views (JDVs) let applications read and write JSON documents backed by relational tables (see our introductory JDV blog). MySQL handles the document-to-table mapping, reducing application code while preserving relational integrity. We still need to decide which parts of a document applications can change. Earlier JDVs offered limited choices: table writes were generally all-or-nothing, and […]

In the first post, we exported native MySQL telemetry to Prometheus. In the second, we organized those metrics around DBA questions. In the third, we built a Grafana dashboard that makes those questions visible. This final post shows how to use that dashboard when an application slows down or a database signal changes. The goal […]

Planning, compatibility testing, performance validation, application readiness, and rollback strategies for a large production deployment MySQL 8.0 reached its official End of Life (EOL) in April 2026 alongside the final release of version 8.0.46, but specific support extensions are available depending on your hosting environment.  Oracle extended support for MySQL 8.0 instances in MySQL HeatWave […]

We’ve recently been dealing with an interesting customer case where a PXC version upgrade from 5.7 to 8.0 seemed to trigger a completely unexpected problem. Even though the workload and MySQL settings did not change, all PXC members began exhibiting sparse but regular bursts of massive disk writes. Yet the MySQL side workload statistics that we gathered during those bursts did not explain the volume of them at all!

Analyzing these bursts further with pidstat and iostat confirmed that the mysqld process was indeed the sole source of excessive disk writes, and digging further showed the responsible threads to be the Galera receiver thread responsible for subscribing to the replication stream, as well as the main connection threads on the writer node, or Galera applier …

Last week, I shared a meme in the MySQL Group on LinkedIn about using SELECT * in MySQL queries. Today, I’m backing up the punchline with something every joke desperately needs: a technical explanation. We’ve all written queries like this: It’s quick. It’s convenient. It lets you postpone remembering whether the column is called customer_name, […]