Simon Willison’s Weblog

Items tagged sqlite, datasette

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Fun with binary data and SQLite

This week I’ve been mainly experimenting with binary data storage in SQLite. sqlite-utils can now insert data from binary files, and datasette-media can serve content over HTTP that originated as binary BLOBs in a database file.

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Weeknotes: cookiecutter templates, better plugin documentation, sqlite-generate

I spent this week spreading myself between a bunch of smaller projects, and finally getting familiar with cookiecutter. I wrote about my datasette-plugin cookiecutter template earlier in the week; here’s what else I’ve been working on.

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Using SQL to Look Through All of Your iMessage Text Messages (via) Dan Kelch shows how to access the iMessage SQLite database at ~/Library/Messages/chat.db—it’s protected under macOS Catalina so you have to enable Full Disk Access in the privacy settings first. I usually use the macOS terminal app but I installed iTerm for this because I’d rather enable full disk access to a separate terminal program than let anything I’m running in my regular terminal take advantage of it. It worked! Now I can run “datasette ~/Library/Messages/chat.db” to browse my messages. # 22nd May 2020, 4:45 pm

Using SQL to find my best photo of a pelican according to Apple Photos

According to the Apple Photos internal SQLite database, this is the most aesthetically pleasing photograph I have ever taken of a pelican:

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Weeknotes: Datasette 0.41, photos breakthroughs

Shorter weeknotes this week, because my main project for the week warrants a detailed write-up on its own (coming soon... update 21st May here it is).

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Weeknotes: Datasette 0.39 and many other projects

This week’s theme: Well, I’m not going anywhere. So a ton of progress to report on various projects.

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Weeknotes: Datasette Writes

As discussed previously, the biggest hole in Datasette’s feature set at the moment involves writing to the database.

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Logging to SQLite using ASGI middleware

I had some fun playing around with ASGI middleware and logging during our flight back to England for the holidays.

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goodreads-to-sqlite (via) This is so cool! Tobias Kunze built a Python CLI tool to import your Goodreads data into a SQLite database, inspired by github-to-sqlite and my various other Dogsheep tools. It’s the first Dogsheep style tool I’ve seen that wasn’t built by me—and Tobias’ write-up includes some neat examples of queries you can run against your Goodreads data. I’ve now started using Goodreads and I’m importing my books into my own private Dogsheep Datasette instance. # 14th October 2019, 4:07 am

Tracking PG&E outages by scraping to a git repo

PG&E have cut off power to several million people in northern California, supposedly as a precaution against wildfires.

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SQL Murder Mystery in Datasette (via) “A crime has taken place and the detective needs your help. The detective gave you the  crime scene report, but you somehow lost it. You vaguely remember that the crime  was a murder that occurred sometime on ​Jan.15, 2018 and that it took place in SQL  City. Start by retrieving the corresponding crime scene report from the police  department’s database.”—Really fun game to help exercise your skills with SQL by the NU Knight Lab. I loaded their SQLite database into Datasette so you can play in your browser. # 7th October 2019, 11:37 pm

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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healthkit-to-sqlite. Ever since I got an Apple Watch I’ve been itching to get my hands on the step tracking and health data that it’s been collecting for me. I know it’s there in a SQLite database on my wrist, but I couldn’t figure out how to get it! A few days ago I stumbled across the “Export Health Data” button in the iOS Health app, and it turns out it creates a zip file containing XML with a full dump of the data collected by Apple Health. healthkit-to-sqlite is the tool I’ve built that can read that export and use it to create a SQLite database ready to be queried and explored with Datasette. It’s a pretty basic implementation but it’s already giving me access to over 3 million rows of data. Lots of potential here for interesting work with personal analytics. # 22nd July 2019, 3:34 am

db-to-sqlite 1.0 release. I’ve released version 1.0 of my db-to-sqlite tool, which lets you create a SQLite database copy of any database supported by SQLAlchemy (I’ve tested it against MySQL and PostgreSQL). The tool has a bunch of new features: you can use --redact to redact specific columns, specify --table multiple times to copy a subset of tables, and the --all option now efficiently adds all foreign keys at the end of the import. The project now has unit tests which run against MySQL and PostgreSQL in Travis CI. Also included in the README: a shell one-liner for creating a local SQLite copy of a remote Heroku Postgres database based on extracting the connection string from a Heroku config environment variable. # 1st July 2019, 1:35 am

sqlite-utils: a Python library and CLI tool for building SQLite databases

sqlite-utils is a combination Python library and command-line tool I’ve been building over the past six months which aims to make creating new SQLite databases as quick and easy as possible.

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socrata2sql (via) Phenomenal new open source tool released by Andrew Chavez at the Dallas Morning News. Socrata is the open data portal software used by huge numbers of local governments worldwide. socrata2sql is a tool that interacts with the standard Socrata API and can use it to suck down a dataset and save it as a SQLite, PostgreSQL, MySQL or other SQLAlchemy-supported database. I just tried this and it took a single command to create a SQLite database of every police arrest in Dallas in the past five years. # 8th February 2019, 3:27 pm

The Datasette Ecosystem. I’ve written a page of documentation that introduces the wider Datasette Ecosystem: csvs-to-sqlite, sqlite-utils, db-to-sqlite, dbf-to-sqlite, markdown-to-sqlite and a full collection of Datasette plugins. # 1st February 2019, 4:41 am

SQLite in 2018: A state of the art SQL dialect (via) In 2018 SQLite gained boolean literals, window functions, filter clauses, upserts and the ability to rename a column. If you want to try it out the latest official datasetteproject/datasette Docker image now bundles SQLite 3.26. # 15th January 2019, 4:21 pm

Usable Data (via) A Paul Ford essay from February 2016 in which he advocates for SQLite as the ideal format for sharing interesting data. I don’t know how I missed this one—it predates Datasette, but it perfectly captures the benefits that I’m trying to expose with the project. “In my dream universe, there would be a massive searchable torrent site filled with open, explorable data sets, in SQLite format, some with full text search indexes already in place.” # 11th January 2019, 6:33 pm

Exploring search relevance algorithms with SQLite

SQLite isn’t just a fast, high quality embedded database: it also incorporates a powerful full-text search engine in the form of the FTS4 and FTS5 extensions. You’ve probably used these a bunch of times already: many iOS, Android and desktop applications use SQLite under-the-hood and use it to implement their built-in search.

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Fast Autocomplete Search for Your Website (via) I wrote a tutorial for the 24 ways advent calendar on building fast autocomplete search for a website on top of Datasette and SQLite. I built the demo against 24 ways itself—I used wget to recursively fetch all 330 articles as HTML, then wrote code in a Jupyter notebook to extract the raw data from them (with BeautifulSoup) and load them into SQLite using my sqlite-utils Python library. I deployed the resulting database using Datasette, then wrote some vanilla JavaScript to implement autocomplete using fast SQL queries against the Datasette JSON API. # 19th December 2018, 12:26 am

The interesting ideas in Datasette

Datasette (previously) is my open source tool for exploring and publishing structured data. There are a lot of ideas embedded in Datasette. I realized that I haven’t put many of them into writing.

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Slides, notes and links from my Datasette talk at PyBay (via) I presented a session about Datasette at the PyBay conference in San Francisco this morning. I talked about the project itself and demonstrated ways of creating and publishing databases using csvs-to-sqlite, Datasette Publish and my new sqlite-utils library. # 19th August 2018, 11:23 pm

Datasette unit tests: monkeytype_call_traces (via) Faceted browse against every function call that occurs during the execution of Datasette’s test suite. I used Instagram’s MonkeyType tool to generate this, which can run Python code and generates a SQLite database of all of the traced calls. It’s intended to be used to automatically add mypy annotations to your code, but since it produces a SQLite database as a by-product I’ve started exploring the intermediary format using Datasette. Generating this was as easy as running “monkeytype run `which pytest`” in the Datasette root directory. # 2nd August 2018, 9:03 pm

Query Parquet files in SQLite. Colin Dellow built a SQLite virtual table extension that lets you query Parquet files directly using SQL. Parquet is interesting because it’s a columnar format that dramatically reduces the space needed to store tables with lots of duplicate column data—most CSV files, for example. Colin reports being able to shrink a 1291 MB CSV file from the Canadian census to an equivalent Parquet file weighing just 42MB (3% of the original)—then running a complex query against the data in just 60ms. I’d love to see someone get this extension working with Datasette. # 24th June 2018, 7:44 pm

SpatiaLite — Datasette documentation. Datasette’s documentation now includes extensive coverage of the SpatiaLite extension for SQLite: how to install it, how to import latitude/longitude points, shapefiles and GeoJSON data into SpatiaLite tables, and how to run SQL queries against it that take advantage of spatial indexes. I’m learning SpatiaLite at the moment and filling out the documentation with each new trick I learn as I go—as Mark Pilgrim once taught me, the best way to learn a new technology is to write about it. # 30th May 2018, 4:34 am

sqlitebiter. Similar to my csvs-to-sqlite tool, but sqlitebiter handles “CSV/Excel/HTML/JSON/LTSV/Markdown/SQLite/SSV/TSV/Google-Sheets”. Most interestingly, it works against HTML pages—run “sqlitebiter -v url ’https://en.wikipedia.org/wiki/Comparison_of_firewalls’” and it will scrape that Wikipedia page and create a SQLite table for each of the HTML tables it finds there. # 17th May 2018, 10:40 pm

Datasette: Full-text search. I wrote some documentation for Datasette’s full-text search feature, which detects tables which have been configured to use the SQLite FTS module and adds a search input box and support for a _search= querystring parameter. # 12th May 2018, 12:09 pm