Data-Oriented Programming: Reduce complexity by rethinking data

426 Pages·2022·7.137 MB·English

by  Yehonathan Sharvit

Reduce software complexity
Yehonathan Sharvit
Forewords by Michael T. Nygard
and Ryan Singer
M A N N I N G
Principles of data-oriented programming
Principle #2: Represent
Immutable
data with generic data
structures.
Generic
Mutable
Representation
Principle #3:
Specific
Data is
Data immutable.
Schema
Principle #4: Separate
data schema from data
Data-oriented
representation.
programming
Functional
Code
programming
Principle #1:
Separate code
from data.
Object-oriented
programming
Data-Oriented Programming

Data-Oriented
Programming
REDUCE SOFTWARE COMPLEXITY
YEHONATHAN SHARVIT
Forewords by MICHAEL T. NYGARD and RYAN SINGER
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To Karine, who supports my dysfunctionalities on a daily basis.
brief contents
PART 1 FLEXIBILITY..................................................................1
1 ■ Complexity of object-orientedprogramming 3
2 ■ Separation between code and data 26
3 ■ Basic data manipulation 43
4 ■ State management 71
5 ■ Basic concurrency control 91
6 ■ Unit tests 110
PART 2 SCALABILITY .............................................................137
7 ■ Basic data validation 141
8 ■ Advanced concurrency control 163
9 ■ Persistent data structures 175
10 ■ Database operations 197
11 ■ Web services 220
vvii
BRIEF CONTENTS vii
PART 3 MAINTAINABILITY......................................................245
12 ■ Advanced data validation 247
13 ■ Polymorphism 272
14 ■ Advanced data manipulation 295
15 ■ Debugging 311
contents
forewords xiii
preface xvii
acknowledgments xviii
about this book xx
about the author xxiv
about the cover illustration xxv
dramatis personae xxvi
PART 1 FLEXIBILITY........................................................1
1 Complexity of object-oriented programming 3
1.1 OOP design: Classic or classical? 4
The design phase 4 ■ UML 101 6 ■ Explaining each piece of
the class diagram 9 ■ The implementation phase 12
1.2 Sources of complexity 13
Many relations between classes 14 ■ Unpredictable code
behavior 16 ■ Not trivial data serialization 18
Complex class hierarchies 20
2 Separation between code and data 26
2.1 The two parts of a DOP system 27
2.2 Data entities 29
viii