The latest from the MySQL community

Benchmarks · HNSW vector search

MyVector adds approximate nearest-neighbor search to stock MySQL — no separate vector database. We put it on identical hardware across three MySQL versions, added MariaDB’s native vector type as a reference, and measured build time, throughput, latency, and recall on the same data.

askdba/myvector · live dashboard at bench.myvector.online

548peak ANN queries/sec (MySQL 9.7), ~1.8 ms median 0.95best recall@10 (MariaDB 12.3) once tuned 4×engines, one 50k×128 workload, identical 4 vCPU / 24 GB slices

Why benchmark this at all

Vector search usually means standing up a dedicated database next to your primary store, then keeping the two in sync. MyVector takes the other path: it lives inside MySQL as UDFs and stored procedures, builds an HNSW index over a column of vectors, and answers …

MySQL 26.7 Innovation Support Lands

September 22, 2026 · ⁠GitHub Release

MySQL just changed the rules.

With MySQL 26.7, Oracle has moved to a new calendar-based versioning model for Innovation releases. For MyVector, that means one thing:

We need to keep up.

MyVector v1.26.9 adds MySQL 26.7 Innovation support, but the more interesting story is what happened beneath the surface.

This release puts the Component architecture introduced in v1.26.5 through a much more serious test.

From architecture to reliability

When we introduced the MySQL Component architecture in v1.26.5, the goal was straightforward: build MyVector in the direction MySQL itself is taking.

Now we are testing what happens when things don’t go perfectly.

…

TL;DR

Percona Server for MySQL 9.7.2-2 now supports DISTANCE() for vector similarity scoring directly in SQL (COSINE, EUCLIDEAN, MANHATTAN, DOT metrics). This is the compute primitive you need to rank or filter embeddings by similarity directly in SQL. ANN indexing (e.g. HNSW, IVF) is the next milestone for fast large-scale similarity search; and this function provides the scoring layer that indexing strategies will further accelerate.

Why we’re adding this

MySQL’s native DISTANCE() and VECTOR_DISTANCE() functions are only available in HeatWave MySQL on OCI, not included in Community or Commercial MySQL, and limited to three metrics (COSINE, DOT, EUCLIDEAN). Percona is bringing the same capability to anyone running Percona Server for MySQL on any supported platform.

MySQL 9.7 already supports the VECTOR data type (TO_VECTOR() and FROM_VECTOR() functions) for storing embeddings. DISTANCE() …

May 2026 · 5 min read. Alkin Tezuysal

Cross blog from Oracle https://blogs.oracle.com/mysql/mysql-9-7-is-out-and-the-community-wins

MySQL 9.7 came out on April 21 and I’ve been going through the release notes so you don’t have to. The short version: Oracle has made several previously Enterprise-only features available in the Community Edition; the Hypergraph Optimizer is now free for everyone; and if you’re still on MySQL 8.0, it has reached End-of-Life. Like right now. We’ll get to that.

Let’s go through what matters most.

First: MySQL 8.0 has reached End-of-Life

MySQL 8.0.46 shipped alongside 9.7, and it is the last 8.0 release. As of April 2026, 8.0 is officially End-of-Life. No more security patches. No …

Semantic Search with SQL Simplicity and Operational Control

Introduction

Vector search is redefining how we work with unstructured and semantic data. Until recently, integrating it into traditional relational databases like MySQL required external services, extra infrastructure, or awkward workarounds. That changes with the MyVector plugin — a native vector indexing and search extension purpose-built for MySQL.

Whether you’re enhancing search for user-generated content, improving recommendation systems, or building AI-driven assistants, MyVector makes it possible to store, index, and search vector embeddings directly inside MySQL — with full support for SQL syntax, indexing, and filtering.

What Is MyVector?

The MyVector plugin adds native support …

MySQL HeatWave integrates GenAI capabilities into MySQL on OCI. We have demonstrated how HeatWave GenAI can leverage RAG’s capability to utilize ingested documents (unstructured data) in LakeHouse and generate responses to specific questions or chats. See: The common theme here is the use of data stored in Object Storage (LakeHouse). I previously discussed how to […]

MySQL 9.0.0 has brought the VECTOR datatype to your favorite Open Source Database. There are already some functions available to deal with those vectors: This post will show how to deal with vectors and create our own functions to create operations between vectors. We will use the MLE Component capability to create JavaScript functions. JS […]