Date: 2017-10-25
Time: 12:10–13:00
Room: Baltic II+III
Level: Advanced
Nowadays it becomes evident that single storage engine can't be "one size fits all". PostgreSQL community starts its movement towards pluggable storages. Significant restriction which is imposed in the current approach is compatibility. We consider pluggable storages to be compatible with (at least some) existing index access methods. That means we've long way to go, because we have to extend our index AMs before we can add corresponding features in the pluggable storages themselves.
In this talk we would like look this problem from another angle, and see what can we achieve if we try to make storage completely from scratch (using FDW interface for prototyping). Thus, we would show you a prototype of in-memory OLTP storage with transaction support and snapshot isolation. Internally it's implemented as index-organized table (B-tree) with undo log and optional persistence. That means it's quite different from what we have in PostgreSQL now.
The proved by benchmarks advantages of this in-memory storage are: better multicore scalability (thanks to no buffer manager), reduced bloat (thanks to undo log) and optimized IO (thank to logical WAL logging).
The following slides have been made available for this session: