Data-Oriented Programming - Version 1.1

What if your Java compiler could prevent invalid object states? See how Data-Oriented Programming uses sealed interfaces and pattern matching to make it a reality.

#1about 2 minutes

Introducing the four principles of data-oriented programming

Data-oriented programming (DOP) is a paradigm that models programs as a series of transformations on data, guided by four key principles.

#2about 5 minutes

Modeling a GitHub crawler page type example

An example of a GitHub crawler is used to explore how to model a complex page data type with various states and required operations.

#3about 2 minutes

Using Java records for immutable and transparent data

Java records are the ideal choice for modeling immutable data, and compact constructors can be used to ensure deep immutability for collection fields.

#4about 3 minutes

Modeling data alternatives using sealed interfaces and records

Sealed interfaces create a closed type hierarchy, allowing you to precisely model "either/or" relationships between different record types representing distinct data states.

#5about 3 minutes

How to make illegal data states unrepresentable

By combining a precise type hierarchy with validation in record constructors, you can prevent the creation of invalid object states within your domain model.

#6about 6 minutes

Separating operations from data using pattern matching

Operations are moved out of data records and implemented externally using switch expressions with pattern matching to deconstruct and act on the data.

#7about 4 minutes