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principles/ObjectValidation.md
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principles/ObjectValidation.md
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# Object validation
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Validation of objects is essential for the quality of object-oriented programs.
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This page provides a rough overview of different techniques and strategies around object validation.
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## Basics
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### Object types
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The appropriate kind of validation may differ on the kind of object, whether it is
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* mutable or
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* immutable
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### Validation results
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Validation results can be divided into:
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* **Detailed**: containing a list of violations
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* **Simple**: reporting just one violation (or even only success/failure), either with a simple or a generic message
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### Technical possibilities
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Most languages are offering the following possibilities for failure handling:
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* Return values
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* Exceptions
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### Validation time
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* Before object creation
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* After creation (but before actual usage of the data)
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### Validation patterns
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* Validation on existing objects/states during business operations (i.e. after object creation) (see https://enterprisecraftsmanship.com/posts/validation-and-ddd/) :
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* validate / isValid methods (backdraw: race conditions can lead to invalid state)
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* in application services (backdraw: potential business logic leakage)
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* TryExecute (backdraw: no CQRS separation: potential state change AND returning data (i.e. error message))
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* Execute / CanExecute => call separately „Can“- and „execute“-method, (partial) state is stored locally which means no race conditions can lead to an invalid state
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* Validation during object creation (avoids invalid objects), without public validation method
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* In constructor
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* In factory method (e.g. create method)
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* In Factory
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* In Builder
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* Validation before object creation with public validation method (avoids invalid objects, allows CQRS and detailed results):
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* With (static/class level) validation AND factory method - (https://savoiragile.com/2012/06/28/english-object-validation-on-immutable-objects/ & https://reflectoring.io/java-immutables/ )
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* Using Essence pattern (https://stackoverflow.com/questions/9776193/good-practice-to-validate-immutable-values-objects )
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* Also Factory and Builder pattern could be added with a validate method (https://stackoverflow.com/questions/16221010/should-the-factory-pattern-contain-validation-logic ), but does not seem very common
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## Potential strategies
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### Strategies for validations after object creation
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(From https://enterprisecraftsmanship.com/posts/validation-and-ddd/):
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* The Execute / TryExecute pattern works best for task-based scenarios.
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* For CRUD scenarios, you need to choose between Execute / TryExecute and validation in application services. The choice comes down to purity versus ease of implementation.
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### Strategies for validations before object creation
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* With (static/class level) validation AND factory method (for less complex cases)
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* Essence pattern (for complex cases)
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### Strategies for validation results:
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* Detailed, containing a list of violations => for crud operations of multi-field input
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* Simple: reporting one violation either with a simple or a generic message => for task-based operations (user just wants to execute a task and wants to know if the task was successful or not resp. why not)
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### Technical mechanisms:
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* Return value for “expected” failures
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* Exception for “unexpected” failures
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https://stackoverflow.com/questions/99683/which-and-why-do-you-prefer-exceptions-or-return-codes
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https://stackoverflow.com/questions/5460101/choosing-between-exception-and-return-value
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https://enterprisecraftsmanship.com/posts/error-handling-exception-or-result/
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---
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###Appendix
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Possibilities for creation of objects (patterns, etc):
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* Constructor
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* Factory method (e.g. create method)
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* Factory
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* Builder
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* Essence
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* Other creational patterns: Prototype, Object Pool, Abstract Factory, Singleton
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