31
Feature Casualties of Large Databases
Databases shed important RDMS features as they get big. Examining why this tends to be the case, and some ideas for preventing it.
Brandur Leach
I'm Brandur. This site is where I publish words and photos. The section updated most often is atoms , short multimedia particles reminiscent of a Twitter feed. I update my now page monthly according to what I'm working on and thinking about. I publish a newsletter as often as I can.
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Visit brandur.org → RSS feedOn Hacker News May 2017 – Aug 2026
Software Engineering 27Databases & Data 20Tech Industry & Business 7Systems & Performance 6Career & Management 4Web & Frontend 3
32
Actix Web: Optimization Amongst Optimizations
It’s already been a great reading day for retrospectives on the last ten years / predictions for the next. Here’s to hoping that everyone had a good break (or at least a few days off), set or didn’t set resolutions, and is refreshed and ready for what comes next.
33
Transactionally Staged Job Drains in Postgres
Building a robust background worker system that leverages transactional isolation to never work a job too early, and transactional durability to never let one drop.
34
Postgres Job Queues and Failure by MVCC
How Postgres’ concurrency model coupled with long-lived transactions can degrade the performance of indexes on hot tables in your database.
35
Partitioning in Postgres, 2022 Edition
Tracking improvements to Postgres partitioning since 2017. In just five years it’s gone from a non-feature to a very good one.
36
First Contact with SQLite
I've been playing around with SQLite the last couple of days. I thought I knew a little about SQLite, but I didn't, and am getting my remedial education through an accelerated gauntlet. Some of what …
37
Stripe V2
Stripe’s API got a new major version, and no one noticed.
38
Error stack traces in Go with x/xerror
A workaround to get nice stack traces for errors in Go.
39
What's good about offset pagination; designing parallel cursor-based web APIs
Offset pagination gets a bad rap because it’s backend inefficient, but it’s actually a nice feature from a consumer’s perspective. How to bring those advantages to cursor-based APIs.