Recurse Center Day 8: B Tree Fill Factor (Part 2)

Some of the interesting and insane facts I learned about SQLite

This is the fascinating story of how researchers used Bloom filters cleverly to make SQLite 10x faster for analytical queries. These are my five-minute notes on the paper SQLite: Past, Present, and Future

Researchers at the University of Helsinki and Cambridge attempted to build a faster SQLite using modern programming paradigms like io_uring and disaggregated storage. They demonstrate up to a 100x reduction in tail latency. These are my notes.

I recently learned about Galloping Search while building a distributed log called s3-log. It’s used to search sorted items when the upper bound is unknown. In this short post, I will share my notes and other alternatives I discovered for searching over unbounded items

In this third part of the series, I will show how we can implement a durable, distributed, and highly available log using S3