Matthew Dutson from UW-Madison
Presenting Friday, Feb 22 at 1:00PM CST
Hustle is a scalable, relational data platform currently under development. It has a microservices architecture for maximum flexibility and adaptability. In implementing the type system for Hustle’s execution engine we consider a number of design tradeoffs. We seek to balance abstraction with performance, doing so in a way that allows future developers to easily add custom types and expand the functionality of existing types. We look at factors including the cost of virtual function lookups and dealing with generic types whose sizes are unknown at compile-time. We also analyze the tradeoffs of various null value representations, looking to minimize wasted space while conforming to user’s expectations of null semantics and behavior.
