Thursday, 1st February 2018
Observable notebook: San Francisco trees from Datasette. I used an Observable notebook to rebuild my San Francisco tree search demo against a Datasette API of a CSV of trees published by the SF Department of Public Works. The map updates live as you type a query, and every cell can be toggled to view the underlying source code.
What we need to do is come up with a way to help people understand that there are ways to never be lost again, and to listen to any music you want, and to video chat with someone on the other side of the world, without them having to feel disquieted about it. That it's not OK that you're made to feel weirded out. That it's possible for there to be alternatives. That having to feel someone rooting around in your life is not a price you should have to pay.
Building a Full-Text Search App Using Docker and Elasticsearch. Deep, comprehensive tutorial from Patrick Triest showing how to use docker-compose to run three containers (Node API, nginx static content, elasticsearch) and then use that to build a neat Vue.js web search UI against 100 books from Project Gutenberg.
How the Citus distributed database rebalances your data. Citus is a fascinating implementation of database sharding built on top of PostgreSQL primitives. PostgreSQL 10 introduced extremely flexible logical replication—in this post Craig Kerstiens explains how Citus use this new ability to re-balance shards (e.g. when you move from two to four physical PostgreSQL nodes) without downtime.