Press "Enter" to skip to content

Day: June 9, 2026

Generating Local Text Embeddings in SQL Server 2025

Published 2026-06-09 by Kevin Feasel

Greg Low continues a series on local text embeddings:

In the first article of this series, I explained how to install and configure Ollama to host text embeddings models locally. I also demonstrated how to install Caddy as a proxy to allow SQL Server to use Ollama via https-based calls. In this article, I’ll show you how to make use of this at the SQL Server end.

Greg mentions a few embedding models, but the one I’m pushing right now is Microsoft Research’s Harrier OSS v1 model, specifically the 600m parameter version. It does extremely well in the MTEB leaderboards (the 27b variant is at the top of the board as of June 2026) and has a permissive license. It generates vectors in 1024 dimensions, so the embeddings are a bit chunky, taking up 4kb apiece. But the results are really good.

Leave a Comment

Bloom Filters with Valkey

Published 2026-06-09 by Kevin Feasel

Jay Miller checks for a record:

A bloom filter is a small, probabilistic data structure designed to answer one question: “Have I seen this item before?” It provides two potential answers: Absolutely Not, and Probably.

You may think that 100% Yes or No would be better but here’s the thing, probably is really fast and you’re really concerned about the Absolutely Not’s taking up unnecessary connections.

The article speaks to Aiven’s implementation of a Bloom filter in Valkey, but does get into some neat details on bloom filters in general. And if you want to go further down that route, Paul White explains how SQL Server uses Bloom filters.

Leave a Comment

Testing SQL Code in Python

Published 2026-06-09 by Kevin Feasel

Jamal Hansen writes some tests:

I once had a query that ran fine for months. Then someone added a column to the source table and a SELECT * downstream started returning unexpected data. The query didn’t error. It just silently gave wrong results. A test would have caught it immediately.

Schema changes break queries silently. Refactoring a CTE can shift results in ways you don’t notice. New data patterns expose assumptions you didn’t know you made. SQL deserves the same testing discipline as the rest of your code, and Python makes it straightforward.

PyTest, the library Jamal uses here, is one of my favorites for this kind of work. You can build up tests without a lot of ceremony and it’s pretty easy to deal with for most use cases.

Leave a Comment

The Pain of Moving Indexes between Filegroups

Published 2026-06-09 by Kevin Feasel

Erik Darling explains a process:

At some point you’re going to want to move some indexes to a new filegroup. Maybe you’re separating data across storage, maybe you’re cleaning up after someone who put everything on PRIMARY and walked away, maybe you’ve got your reasons and they’re none of my business.

Whatever the cause, you’d think this would be a solved problem in a database that’s been around since the Clinton administration.

It is not.

Some days, I’m convinced that the only way to win is not to play at all. Erik explaining how to migrate LOB data across filegroups fits that bill perfectly.

Leave a Comment