473 posts tagged “sqlite”
SQLite is the world's most widely deployed database engine.
2023
TG: Polygon indexing (via) TG is a brand new geospatial library by Josh Baker, author of the Tile38 in-memory spatial server (kind of a geospatial Redis). TG is written in pure C and delivered as a single C file, reminiscent of the SQLite amalgamation.
TG looks really interesting. It implements almost the exact subset of geospatial functionality that I find most useful: point-in-polygon, intersect, WKT, WKB, and GeoJSON—all with no additional dependencies.
The most interesting thing about it is the way it handles indexing. In this documentation Josh describes two approaches he uses to speeding up point-in-polygon and intersection using a novel approach that goes beyond the usual RTree implementation.
I think this could make the basis of a really useful SQLite extension—a lighter-weight alternative to SpatiaLite.
Note that there have been no breaking changes since the [SQLite] file format was designed in 2004. The changes shows in the version history above have all be one of (1) typo fixes, (2) clarifications, or (3) filling in the "reserved for future extensions" bits with descriptions of those extensions as they occurred.
Introducing datasette-litestream: easy replication for SQLite databases in Datasette. We use Litestream on Datasette Cloud for streaming backups of user data to S3. Alex Garcia extracted out our implementation into a standalone Datasette plugin, which bundles the Litestream Go binary (for the relevant platform) in the package you get when you run “datasette install datasette-litestream”—so now Datasette has a very robust answer to questions about SQLite disaster recovery beyond just the Datasette Cloud platform.
LLM now provides tools for working with embeddings
LLM is my Python library and command-line tool for working with language models. I just released LLM 0.9 with a new set of features that extend LLM to provide tools for working with embeddings.
[... 3,521 words]Queryable Logging with Blacklite (via) Will Sargent describes how he built Blacklite, a Java library for diagnostic logging that writes log events (as zstd compressed JSON objects) to a SQLite database and maintains 5,000 entries in a “live” database while entries beyond that range are cycled out to an archive.db file, which is cycled to archive.timestamp.db when it reaches 500,000 items.
Lots of interesting notes here on using SQLite for high performance logging.
“SQLite databases are also better log files in general. Queries are faster than parsing through flat files, with all the power of SQL. A vacuumed SQLite database is only barely larger than flat file logs. They are as easy to store and transport as flat file logs, but work much better when merging out of order or interleaved data between two logs.”
Dependency Management Data (via) This is a really neat CLI tool by Jamie Tanna, built using Go and SQLite but with a feature that embeds a Datasette instance (literally shelling out to start the process running from within the Go application) to provide an interface for browsing the resulting database.
It addresses the challenge of keeping track of the dependencies used across an organization, by gathering them into a SQLite database from a variety of different sources—currently Dependabot, Renovate and some custom AWS tooling.
The “Example” page links to a live Datasette instance and includes video demos of the tool in action.
sqlite-utils now supports plugins
sqlite-utils 3.34 is out with a major new feature: support for plugins.
[... 1,327 words]sqlite-vss v0.1.1 Annotated Release Notes (via) Alex Garcia’s sqlite-vss adds vector search directly to SQLite through a custom extension. It’s now easily installed for Python, Node.js, Deno, Elixir, Go, Rust and Ruby (“gem install sqlite-vss”), and is being used actively by enough people that Alex is getting actionable feedback, including fixes for memory leaks spotted in production.
Data analysis with SQLite and Python. I turned my 2hr45m workshop from PyCon into the latest official tutorial on the Datasette website. It includes an extensive handout which should be useful independently of the video itself.
sqlean.py: Python’s sqlite3 with extensions. Anton Zhiyanov built a new Python package which bundles a fresh, compiled copy of SQLite with his SQLean family of C extensions built right in. Installing it gets you the latest SQLite—3.42.0—with nearly 200 additional functions, including things like define() and eval(), fileio_read() and fileio_write(), percentile_95() and uuid4() and many more. “import sqlean as sqlite3” works as a drop-in replacement for the module from the standard library.
Vector Search. Amjith Ramanujam provides a very thorough tutorial on implementing vector similarity search using SentenceTransformers embeddings (all-MiniLM-L6-v2) executed using sqlite-utils, then served via datasette-sqlite-vss and deployed using Fly.
SQLite 3.42.0.
The latest SQLite has a tiny feature I requested on the SQLite Forum - SELECT unixepoch('subsec') now returns the current time in milliseconds since the Unix epoch, a big improvement on the previous recipe of select cast((julianday('now') - 2440587.5) * 86400 * 1000 as integer)!
Also in the release: JSON5 support (JSON with multi-line strings and comments), a bunch of improvements to the query planner and CLI tool, plus various interesting internal changes.