The mathematics of compression in database systems
Summary
The article outlines a math based framework for compression in databases, highlighting the tradeoffs between CPU and I/O and introducing a breakeven bandwidth and logical bandwidth concept. It discusses practical cost considerations in cloud environments, latency versus throughput, and how semantic encoding and entropy compression combine to reduce data sizes, with guidance on when to apply different techniques. It also includes a hands on comparison of compression levels and practical warnings about bitpacking and lossy compression.