Data-Oriented Design (2018)
Some of the best advice I ever got for writing composable, high-performance code was “work on structs of arrays, not arrays of structs”. I hear many echoes of that advice in this text. Turns out that entity-component architectures work well in line-of-business applications too, not just games.Alas, many developers in enterprise are rusted onto a record-keeping CRUD model and struggle to think in columns rather than rows. The idea of inserting an entity id into a “published” table, instead of setting a boolean “published” field to true, doesn’t always come naturally. Yet once you realise how readily polymorphic this is, you may start wanting to use such approaches to data for everything. Rich new opportunities then arise from cross-pollinating component data. Some may question why it is structurally permissible that, say, a network interface can have a birthday, or why an invoice has an IPv6 address, why my cat is in the DHCP pool, whilst limegreen is deleted and $5 on Tuesdays. This of course is half the fun.I don’t accept that it’s wholly incompatible with OO, though, a thesis you’ll see dotted around the place. I’ve even taken this approach with Ruby using Active Record for persistence; not normally a domain where the words “high performance” are bandied about. That worked particularly because Ruby’s object system, being more Smalltalk-ish than C++/Java-ish, strongly favours composition over inheritance.