Data-oriented programming in Java - Developer Summit - Bangalore - 2023.pdf

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Ron Veen will present on data-oriented programming in Java. The presentation will cover: 1) the evolution of traditional object-oriented applications, 2) introducing the principles of data-oriented programming, 3) modern Java features that support data-oriented programming like records and pattern matching, and 4) examples of combining Java and data-oriented programming. Data-oriented programming treats data as immutable first-class citizens stored in generic structures separate from application logic.

Software

www.developersummit.com
Data-oriented programming in Java
Ron Veen

Who is Ron Veen
@ronveen
ronveen
@ronveen@foojay.social
● Java developer for 20+ years
● Special Agent @ Team Rockstars IT
● Speaker @ conferences
● Writing a book about Migrating to cloud-native Jakarta EE

Agenda
1. Evolution of traditional applications
2. Introducing data-oriented programming
3. Modern Java support for data-oriented programming
4. Examples of data-oriented programming with Java

Part 2 - Introducing Data-Oriented Programming

Principles of data-oriented programming
● Separate data from logic
● Data is stored in generic data structures
● Data is immutable
● Data schema is separated from representation

Separate logic from data
● Code can be re-used in different contexts
● Testing in isolation
● Less complex systems

Data is stored in generic data structures
● Flexibele data model
● Use of generic functions that are not scoped to our data classes

Data is immutable
● Reference to the data may change, but not the actual values
● Returning new objects with different values
● Gives predictable behaviour
● Enabled safe concurrency

Separate the data schema from representation
● How to express the shape of your data
● XSD
● JSON Schema

Part 3 - Modern Java support for data-oriented programming

Modern Java support for data-oriented programming
● Records
● Sealed classes
● Pattern matching
● Switch functions for pattern matching

Pattern Matching
● Predicate
● Object to test against
● Pattern variables
● Flow scope

Pattern Matching: Instanceof
● Predicate ==> instanceof Approver
● Object to test against ==> user
● Pattern variables ==> a
● Flow scope ==> between { }

Part 4 - Combining Java and data-oriented programming

Principles of data-oriented programming
● Separate data from logic
● Could be achieved by using static methods
● Not that different from how we use beans in Jakarta EE and Spring

Principles of data-oriented programming
● Data is stored in generic data structures

Principles of data-oriented programming
● Data is immutable

Principles of data-oriented programming
● Data schema is separated from representation

Principles of data-oriented programming
● Model the data as data
● Data is immutable
● Validate at the boundary
● Make illegal states unrepresentable

Summary
● Data-oriented programming treats data as first-class citizens
● Data drives your application
● Java supports data-oriented programming via records, sealed classes and pattern matching

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Data-oriented programming in Java - Developer Summit - Bangalore - 2023.pdf

1. www.developersummit.com Data-oriented programming in Java Ron Veen

2. Who is Ron Veen @ronveen ronveen @ronveen@foojay.social ● Java developer for 20+ years ● Special Agent @ Team Rockstars IT ● Speaker @ conferences ● Writing a book about Migrating to cloud-native Jakarta EE

3. Agenda 1. Evolution of traditional applications 2. Introducing data-oriented programming 3. Modern Java support for data-oriented programming 4. Examples of data-oriented programming with Java

4. Part 1 - Evolution of an application

5. Meet Pranav

6. Meet Pranav

7. A basic timesheet application

8. Bind users to projects

9. Bind users to projects

10. Bind activities to projects

11. Bind activities to projects

12.

13. Introducing new types of users

14. Adding multi-tenancy

15. Even more functionality

16. Object-oriented programming

17. Identifying domains: User

18. Identifying domains: Timesheets

19. Identifying domains: Core-Data

20. Identifying domains: Authorization

21. Data-oriented programming

22. Part 2 - Introducing Data-Oriented Programming

23. Principles of data-oriented programming ● Separate data from logic ● Data is stored in generic data structures ● Data is immutable ● Data schema is separated from representation

24. Separate logic from data ● Code can be re-used in different contexts ● Testing in isolation ● Less complex systems

25. Data is stored in generic data structures ● Flexibele data model ● Use of generic functions that are not scoped to our data classes

26. Data is immutable ● Reference to the data may change, but not the actual values ● Returning new objects with different values ● Gives predictable behaviour ● Enabled safe concurrency

27. Separate the data schema from representation ● How to express the shape of your data ● XSD ● JSON Schema

28. Part 3 - Modern Java support for data-oriented programming

29. Modern Java support for data-oriented programming ● Records ● Sealed classes ● Pattern matching ● Switch functions for pattern matching

30. Records

31. Sealed classes

32. Pattern Matching ● Predicate ● Object to test against ● Pattern variables ● Flow scope

33. Pattern Matching: Instanceof ● Predicate ==> instanceof Approver ● Object to test against ==> user ● Pattern variables ==> a ● Flow scope ==> between { }

34. Pattern Matching: switch

35. Pattern Matching: record

36. Part 4 - Combining Java and data-oriented programming

37. Principles of data-oriented programming ● Separate data from logic ● Data is stored in generic data structures ● Data is immutable ● Data schema is separated from representation

38. Principles of data-oriented programming ● Separate data from logic ● Could be achieved by using static methods ● Not that different from how we use beans in Jakarta EE and Spring

39. Principles of data-oriented programming ● Data is stored in generic data structures

40. Principles of data-oriented programming ● Data is immutable

41. Principles of data-oriented programming ● Data schema is separated from representation

42. Principles of data-oriented programming ● Separate data from logic ● Data is stored in generic data structures ● Data is immutable ● Data schema is separated from representation

43. Alternative optional

44. Alternative optional

45. Alternative optional

46. Principles of data-oriented programming ● Model the data as data ● Data is immutable ● Validate at the boundary ● Make illegal states unrepresentable

47. Usage of data-oriented programming

48. Usage of data-oriented programming

49. Usage of data-oriented programming

50. Usage of data-oriented programming

51. Usage of data-oriented programming

52. Usage of data-oriented programming

53. Usage of data-oriented programming

54. Summary ● Data-oriented programming treats data as first-class citizens ● Data drives your application ● Java supports data-oriented programming via records, sealed classes and pattern matching

55. Questions

Data-oriented programming in Java - Developer Summit - Bangalore - 2023.pdf

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