Simon Willison’s Weblog

Items tagged graphql in 2020

Filters: Year: 2020 × graphql ×


Weeknotes: github-to-sqlite workflows, datasette-ripgrep enhancements, Datasette 0.52

This week: Improvements to datasette-ripgrep, github-to-sqlite and datasette-graphql, plus Datasette 0.52 and a flurry of dot-releases.

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Weeknotes: datasette-indieauth, datasette-graphql, PyCon Argentina

Last week’s weeknotes took the form of my Personal Data Warehouses: Reclaiming Your Data talk write-up, which represented most of what I got done that week. This week I mainly worked on datasette-indieauth, but I also gave a keynote at PyCon Argentina and released a version of datasette-graphql with a small security fix.

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datasette-graphql 1.2 (via) A new release of the datasette-graphql plugin, fixing a minor security flaw: previous versions of the plugin could expose the schema (but not the actual data) of tables in databases that were otherwise protected by Datasette’s permission system. # 21st November 2020, 10:21 pm

Datasette Weekly: Datasette 0.50, git scraping, extracting columns (via) The first edition of the new Datasette Weekly newsletter—covering Datasette 0.50, Git scraping, extracting columns with sqlite-utils and featuring datasette-graphql as the first “plugin of the week” # 10th October 2020, 9 pm

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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Weeknotes: California Protected Areas in Datasette

This week I built a geospatial search engine for protected areas in California, shipped datasette-graphql 1.0 and started working towards the next milestone for Datasette Cloud.

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Weeknotes: Rocky Beaches, Datasette 0.48, a commit history of my database

This week I helped Natalie launch Rocky Beaches, shipped Datasette 0.48 and several releases of datasette-graphql, upgraded the CSRF protection for datasette-upload-csvs and figured out how to get a commit log of changes to my blog by backing up its database to a GitHub repository.

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Weeknotes: Installing Datasette with Homebrew, more GraphQL, WAL in SQLite

This week I’ve been working on making Datasette easier to install, plus wide-ranging improvements to the Datasette GraphQL plugin.

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GraphQL in Datasette with the new datasette-graphql plugin

This week I’ve mostly been building datasette-graphql, a plugin that adds GraphQL query support to Datasette.

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Building a self-updating profile README for GitHub

GitHub quietly released a new feature at some point in the past few days: profile READMEs. Create a repository with the same name as your GitHub account (in my case that’s github.com/simonw/simonw), add a README.md to it and GitHub will render the contents at the top of your personal profile page—for me that’s github.com/simonw

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How Super Graph compiles GraphQL to a single SQL query. Super Graph is a GraphQL server that compiles arbitrarily nested GraphQL queries to “a single fast SQL query”. I’ve always wondered how that could possible work, so I asked author Vikram Rangnekar for an example of a compiled query—it turns out it uses a brilliant sequence of JSON aggregations to glue together results from nested subqueries and left outer joins. # 16th April 2020, 10:52 pm

SQL is a better API language than GraphQL – Convince me otherwise (via) A dumb tweet I posted this morning blew up today and ended up on the Hacker News homepage. # 16th April 2020, 10:44 pm

PostGraphile: Production Considerations. PostGraphile is a tool for building a GraphQL API on top of an existing PostgreSQL schema. Their “production considerations” documentation is particularly interesting because it directly addresses some of my biggest worries about GraphQL: the potential for someone to craft an expensive query that ties up server resources. PostGraphile suggests a number of techniques for avoiding this, including a statement timeout, a query allowlist, pagination caps and (in their “pro” version) a cost limit that uses a calculated cost score for the query. # 27th March 2020, 1:22 am