<antirez>
8 hours ago
- Amplitude published an article on scaling analytics using the Set data type, explaining why they avoided Redis due to overhead.
- Building custom vertical solutions offers control and debugging benefits but requires ongoing development and can become problematic if original developers leave.
- Redis already uses memory-efficient encodings for small data types (e.g., intset for numeric sets) but lacks a similar representation for small string sets.
- Antirez proposes a new hash table design using linear arrays per bucket with a high load factor to improve memory efficiency and cache locality.
- The new design must handle incremental rehashing, scanning, and serialization while potentially replacing both small encodings and general hash tables.