فهرست مطالب

• Data-Oriented Programming
• brief contents
• contents
• forewords
• preface
• acknowledgments
• about this book
• about the author
• about the cover illustration
• dramatis personae
• Part 1—Flexibility
• Chapter 1: Complexity of object- oriented programming
• 1.1 OOP design: Classic or classical?
• 1.2 Sources of complexity
• Summary
• Chapter 2: Separation between code and data
• 2.1 The two parts of a DOP system
• 2.2 Data entities
• 2.3 Code modules
• 2.4 DOP systems are easy to understand
• 2.5 DOP systems are flexible
• Summary
• Chapter 3: Basic data manipulation
• 3.1 Designing a data model
• 3.2 Representing records as maps
• 3.3 Manipulating data with generic functions
• 3.4 Calculating search results
• 3.5 Handling records of different types
• Summary
• Chapter 4: State management
• 4.1 Multiple versions of the system data
• 4.2 Structural sharing
• 4.3 Implementing structural sharing
• 4.4 Data safety
• 4.5 The commit phase of a mutation
• 4.6 Ensuring system state integrity
• 4.7 Restoring previous states
• Summary
• Chapter 5: Basic concurrency control
• 5.1 Optimistic concurrency control
• 5.2 Reconciliation between concurrent mutations
• 5.3 Reducing collections
• 5.4 Structural difference
• 5.5 Implementing the reconciliation algorithm
• Summary
• Chapter 6: Unit tests
• Part 2—Scalability
• Chapter 7: Basic data validation
• 7.1 Data validation in DOP
• 7.2 JSON Schema in a nutshell
• 7.3 Schema flexibility and strictness
• 7.4 Schema composition
• 7.5 Details about data validation failures
• Summary
• Chapter 8: Advanced concurrency control
• 8.1 The complexity of locks
• 8.2 Thread-safe counter with atoms
• 8.3 Thread-safe cache with atoms
• 8.4 State management with atoms
• Summary
• Chapter 9: Persistent data structures
• 9.1 The need for persistent data structures
• 9.2 The efficiency of persistent data structures
• 9.3 Persistent data structures libraries
• 9.4 Persistent data structures in action
• Summary
• Chapter 10: Database operations
• 10.1 Fetching data from the database
• 10.2 Storing data in the database
• 10.3 Simple data manipulation
• 10.4 Advanced data manipulation
• Summary
• Chapter 11: Web services
• 11.1 Another feature request
• 11.2 Building the insides like the outsides
• 11.3 Representing a client request as a map
• 11.4 Representing a server response as a map
• 11.5 Passing information forward
• 11.6 Search result enrichment in action
• Delivering on time
• Summary
• Part 3—Maintainability
• Chapter 12: Advanced data validation
• 12.1 Function arguments validation
• 12.2 Return value validation
• 12.3 Advanced data validation
• 12.4 Automatic generation of data model diagrams
• 12.5 Automatic generation of schema-based unit tests
• 12.6 A new gift
• Summary
• Chapter 13: Polymorphism
• 13.1 The essence of polymorphism
• 13.2 Multimethods with single dispatch
• 13.3 Multimethods with multiple dispatch
• 13.4 Multimethods with dynamic dispatch
• 13.5 Integrating multimethods in a production system
• Summary
• Chapter 14: Advanced data manipulation
• 14.1 Updating a value in a map with eloquence
• 14.2 Manipulating nested data
• 14.3 Using the best tool for the job
• 14.4 Unwinding at ease
• Summary
• Chapter 15: Debugging
• 15.1 Determinism in programming
• 15.2 Reproducibility with numbers and strings
• 15.3 Reproducibility with any data
• 15.4 Unit tests
• 15.5 Dealing with external data sources
• Farewell
• Summary
• Appendix A—Principles of data-oriented programming
• Appendix B—Generic data access in statically-typed languages
• Appendix C—Data-oriented programming: A link in the chain of programming paradigms
• Appendix D—Lodash reference
• index