Simon Willison’s Weblog

Spatialite Speed Test. Part of an excellent series of posts about SpatiaLite from 2012—here John C. Zastrow reports on running polygon intersection queries against a 1.9GB database file in 40 seconds without an index and 0.186 seconds using the SpatialIndex virtual table mechanism.

# 4:28 pm / gis, spatialite, sqlite

Render single selected county on a map (via) Another experiment at the intersection of Datasette and Observable notebooks. This one imports a full Datasette table (3,200 US counties) using streaming CSV and loads that into Observable’s new Search and Table filter widgets. Once you select a single county a second Datasette SQL query (this time retuning JSON) fetches a GeoJSON representation of that county which is then rendered as SVG using D3.

# 4:48 am / d3, datasette, observable

Behind GitHub’s new authentication token formats (via) This is a really smart design. GitHub’s new tokens use a type prefix of “ghp_” or “gho_” or a few others depending on the type of token, to help support mechanisms that scan for accidental token publication. A further twist is that the last six characters of the tokens are a checksum, which means token scanners can reliably distinguish a real token from a coincidental string without needing to check back with the GitHub database. “One other neat thing about _ is it will reliably select the whole token when you double click on it”—what a useful detail!

# 9:28 pm / github, security

Why you shouldn’t use ENV variables for secret data (via) I do this all the time, but this article provides a good set of reasons that secrets in environment variables are a bad pattern—even when you know there’s no multi-user access to the host you are deploying to. The biggest problem is that they often get captured by error handling scripts, which may not have the right code in place to redact them. This article suggests using Docker secrets instead, but I’d love to see a comprehensive write-up of other recommended patterns for this that go beyond applications running in Docker.

# 6:22 pm / security

country-coder (via) Given a latitude and longitude, how can you tell what country that point sits within? One way is to do a point-in-polygon lookup against a set of country polygons, but this can be tricky: some countries such as New Zealand have extremely complex outlines, even though for this use-case you don’t need the exact shape of the coastline. country-coder solves this with a custom designed 595KB GeoJSON file with detailed land borders but loosely defined ocean borders. It also comes with a wrapper JavaScript library that provides an API for resolving points, plus useful properties on each country with details like telepohen calling codes and emoji flags.

# 7:37 pm / gis, geojson