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Items tagged sqlite in Sep

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Batch size one billion: SQLite insert speedups, from the useful to the absurd (via) Useful, detailed review of ways to maximize the performance of inserting a billion integers into a SQLite database table. # 26th September 2023, 5:31 pm

Upsert in SQL (via) Anton Zhiyanov is currently on a one-man quest to write detailed documentation for all of the fundamental SQL operations, comparing and contrasting how they work across multiple engines, generally with interactive examples.

Useful tips in here on why “insert... on conflict” is usually a better option than “insert or replace into” because the latter can perform a delete and then an insert, firing triggers that you may not have wanted to be fired. # 25th September 2023, 8:34 pm

Geospatial SQL queries in SQLite using TG, sqlite-tg and datasette-sqlite-tg. Alex Garcia built sqlite-tg—a SQLite extension that uses the brand new TG geospatial library to provide a whole suite of custom SQL functions for working with geospatial data.

Here are my notes on trying out his initial alpha releases. The extension already provides tools for converting between GeoJSON, WKT and WKB, plus the all important tg_intersects() function for testing if a polygon or point overlap each other.

It’s pretty useful already. Without any geospatial indexing at all I was still able to get 700ms replies to a brute-force point-in-polygon query against 150MB of GeoJSON timezone boundaries stored as JSON text in a table. # 25th September 2023, 7:45 pm

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. # 23rd September 2023, 4:32 am

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.

D. Richard Hipp # 18th September 2023, 6:02 pm

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. # 13th September 2023, 7:28 pm

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.

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Introducing LiteFS (via) LiteFS is the new SQLite replication solution from Fly, now ready for beta testing. It’s from the same author as Litestream but has a very different architecture; LiteFS works by implementing a custom FUSE filesystem which spies on SQLite transactions being written to the journal file and forwards them on to other nodes in the cluster, providing full read-replication. The signature Litestream feature of streaming a backup to S3 should be coming within the next few months. # 21st September 2022, 6:56 pm

How I’m a Productive Programmer With a Memory of a Fruit Fly (via) Hynek Schlawack describes the value he gets from searchable offline developer documentation, and advocates for the Documentation Sets format which bundles docs, metadata and a SQLite search index. Hynek’s doc2dash command can convert documentation generated by tools like Sphinx into a docset that’s compatible with several offline documentation browser applications. # 19th September 2022, 4:19 pm

[SQLite is] a database that in full-stack culture has been relegated to “unit test database mock” for about 15 years that is (1) surprisingly capable as a SQL engine, (2) the simplest SQL database to get your head around and manage, and (3) can embed directly in literally every application stack, which is especially interesting in latency-sensitive and globally-distributed applications.

Reason (3) is clearly our ulterior motive here, so we’re not disinterested: our model user deploys a full-stack app (Rails, Elixir, Express, whatever) in a bunch of regions around the world, hoping for sub-100ms responses for users in most places around the world. Even within a single data center, repeated queries to SQL servers can blow that budget. Running an in-process SQL server neatly addresses it.

Thomas Ptacek # 16th September 2022, 1:49 am

APSW is now available on PyPI. News I missed from June: the venerable (17+ years old) APSW SQLite library for Python is now officially available on PyPI as a set of wheels, built using cibuildwheel. This is a really big deal: APSW is an extremely well maintained library which exposes way more low-level SQLite functionality than the standard library’s sqlite3 module, and to-date one of the only disadvantages of using it was the need to install it independently of PyPI. Now you can just run “pip install apsw”. # 15th September 2022, 10:18 pm

How the SQLite Virtual Machine Works. The latest entry in Ben Johnson’s series about SQLite internals. # 7th September 2022, 8:49 pm

CROSS JOIN and virtual tables in SQLite. Learned today on the SQLite forums that the SQLite CROSS JOIN in SQLite is a special case of join where the provided table order is preserved when executing the join. This is useful for advanced cases where you might want to use a SQLite virtual table to perform some kind of custom operation—searching against an external search engine for example—and then join the results back against other tables in a predictable way. # 7th September 2022, 12:15 am

Discord History Tracker. Very interestingly shaped piece of software. You install and run a localhost web application on your own machine, then paste some JavaScript into the Discord Electron app’s DevTools console (ignoring the prominent messages there warning you not to paste anything into it). The JavaScript scrapes messages you can see in Discord and submits them back to that localhost application, which writes them to a SQLite database for you. It’s written in C# with ASP.NET Core, but complied executables are provided for Windows, macOS and Linux. I had to allow execution of four different unsigned binaries to get this working on my Mac. # 2nd September 2022, 9:37 pm

Notes on the SQLite DuckDB paper

SQLite: Past, Present, and Future is a newly published paper authored by Kevin P. Gaffney, Martin Prammer and Jignesh M. Patel from the University of Wisconsin-Madison and D. Richard Hipp, Larry Brasfield and Dan Kennedy from the core SQLite engineering team.

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Weeknotes: software carpentry, compiling modules for SQLite

This week I completed the Software Carpentry instructor training course, added two foundational features to sqlite-utils and learned how to compile modules for SQLite.

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Refactoring databases with sqlite-utils extract

Yesterday I described the new sqlite-utils transform mechanism for applying SQLite table transformations that go beyond those supported by ALTER TABLE. The other new feature in sqlite-utils 2.20 builds on that capability to allow you to refactor a database table by extracting columns into separate tables. I’ve called it sqlite-utils extract.

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Executing advanced ALTER TABLE operations in SQLite

SQLite’s ALTER TABLE has some significant limitations: it can’t drop columns (UPDATE: that was fixed in SQLite 3.35.0 in March 2021), it can’t alter NOT NULL status, it can’t change column types. Since I spend a lot of time with SQLite these days I’ve written some code to fix this—both from Python and as a command-line utility.

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DuckDB (via) This is a really interesting, relatively new database. It’s kind of a weird hybrid between SQLite and PostgreSQL: it uses the PostgreSQL parser but models itself after SQLite in that databases are a single file and the code is designed for use as an embedded library, distributed in a single amalgamation C++ file (SQLite uses a C amalgamation). It features a “columnar-vectorized query execution engine” inspired by MonetDB (also by the DuckDB authors) and is hence designed to run analytical queries really quickly. You can install it using “pip install duckdb”—the resulting module feels similar to Python’s sqlite3, and follows roughly the same DBAPI pattern. # 19th September 2020, 11:43 pm

Weeknotes: datasette-dump, sqlite-backup, talks

I spent some time this week digging into Python’s sqlite3 internals. I also gave two talks and recorded a third, due to air at PyGotham in October.

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Weeknotes: Design thinking for journalists, genome-to-sqlite, datasette-atom

I haven’t had much time for code this week: we’ve had a full five day workshop at JSK with Tran Ha (a JSK alumni) learning how to apply Design Thinking to our fellowship projects and generally to challenges facing journalism.

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genome-to-sqlite. I just found out 23andMe let you export your genome as a zipped TSV file, so I wrote a little Python command-line tool to import it into a SQLite database. # 19th September 2019, 3:58 pm

Weeknotes: ONA19, twitter-to-sqlite, datasette-rure

I’ve decided to start writing weeknotes for the duration of my JSK fellowship. Here goes!

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sqlite-utils 1.11. Amjith Ramanujam contributed an excellent new feature to sqlite-utils, which I’ve now released as part of version 1.11. Previously you could enable SQLite full-text-search on a table using the .enable_fts() method (or the “sqlite-utils enable-fts” CLI command) but it wouldn’t reflect future changes to the table—you had to use populate_fts() any time you inserted new records. Thanks to Amjith you can now pass create_triggers=True (or --create-triggers) to cause sqlite-utils to automatically add triggers that keeps the FTS index up-to-date any time a row is inserted, updated or deleted from the table. # 3rd September 2019, 1:05 am

Gearshift. Whoa, a full migrations library written in JavaScript for Gears (which uses SQLite for its data store). # 15th September 2008, 2:51 pm

What I’m excited about, post-conference edition

Wow, I’ve had a really busy month. I’ve attended (and spoken at) BarCamp London, Media in Transition, d.Construct, RailsConf Europe, Euro Foo and EuroOSCON. All were excellent, and each one nicely complemented the others. I’m exhausted. I think my brain is full.

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Installing PySQLite

Techno Weenie has a detailed guide to setting up PySQLite on boxes you don’t have root access to. SQLite looks ideal for small to medium sized applications so I can see this being really useful should I ever write something that uses it.

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SQLObject

My new favourite toy is SQLObject, an object-relational mapper which makes heavy use of Python’s special method names to create objects which can be used to transparently access and modify data in a relational database. I tried to write something like this in PHP once before and failed miserably, but SQLObject has such an elegant design that I’m just annoyed I didn’t find out about it sooner. Here’s some example code, adapted from the SQLOBject site:

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