How to set up dOOv code generation with Maven?

dOOv provides a Maven plugin for code generation; you need to configure it in your pom.xml to process @Path annotations on domain models, generating the DSL elements as described in the wiki's DSL Code Generation section.

dOOv vs Hibernate Validator: which is better for complex business rules?

dOOv excels with type-safe, compile-time validation for complex, custom business logic via its DSL, while Hibernate Validator is better for standard, annotation-based validation with broader ecosystem support. Choose dOOv for domain-specific rules and Hibernate for interoperability.

Can dOOv validation rules be used with Spring Boot?

Yes, but integration requires manual setup since dOOv isn't natively tied to Spring; you can instantiate models and rules in Spring components, but there's no built-in support like with Bean Validation.

How to handle custom error messages in dOOv?

dOOv allows customizing validation messages through the ValidationRule API, but it's less straightforward than standard Bean Validation; you need to define messages in the DSL or use post-processing on results.

Does dOOv support conditional mapping based on validation results?

Yes, you can chain validation and mapping rules using the DSL, but it requires explicit composition; there's no built-in mechanism, so you need to design rules to trigger mappings based on validation outcomes.

What are the performance implications of using dOOv's DSL?

The DSL adds a layer of abstraction that may slightly impact performance due to generated code and runtime evaluation; for most applications, it's negligible, but in high-throughput systems, benchmark against direct Java implementations.

Is dOOv compatible with Java records or new language features?

dOOv's annotation-based approach should work with Java records, but you may need to ensure code generation handles them correctly; check the documentation or community for updates on compatibility with newer Java versions.

dOOv — Fluent Domain Model Validation API

What is dOOv?

dOOv is a Java library that provides a fluent, type-safe API for validating and mapping domain models. It uses annotations and code generation to create a domain-specific language (DSL), allowing developers to write complex validation and data transformation rules with compile-time safety. This approach reduces boilerplate code and helps prevent runtime errors in domain logic.

Target Audience

Java developers working with domain-driven design (DDD) who need robust, maintainable validation and mapping logic in their applications, particularly in enterprise or complex business domains.

Value Proposition

Developers choose dOOv for its type-safe DSL that eliminates common validation errors at compile time, its fluent API that improves code readability, and its integration with existing Java ecosystems via annotations and code generation.

dOOv (Domain Object Oriented Validation) a fluent API for type-safe bean validation and mapping

Use Cases

Best For

Enforcing complex business rules in domain models with type safety
Reducing boilerplate code in validation and mapping logic
Generating human-readable documentation for validation rules
Testing validation logic with integrated assertions
Creating maintainable data transformation between different model representations
Implementing domain-specific languages for business logic in Java applications

Not Ideal For

Projects requiring simple, ad-hoc validation without a structured domain model
Teams not using Maven or Gradle for code generation setup
Applications needing runtime dynamic validation rules that change without recompilation
Projects heavily invested in standard Bean Validation annotations (JSR-303/349/380) preferring interoperability

Pros & Cons

Pros

Compile-Time Type Safety

The DSL enforces validation and mapping rules at compile time, reducing runtime errors as emphasized in the key features and examples.

Expressive Rule Composition

Supports chaining with and/or operators and methods like matchAny, allowing for readable, complex business logic without boilerplate code.

Integrated Mapping Support

Provides a fluent API for data transformation between models with customizable converters, streamlining model-to-model conversions as shown in the mapping example.

Human-Readable Debugging

Rules output plain text syntax trees via Readable#readable, aiding in debugging and documentation, as demonstrated in the syntax tree section.

Testing Utilities

Includes AssertJ-based assertions for validating rule behavior, making it easier to write and maintain tests for validation logic.

Cons

Annotation and Generation Overhead

Requires annotating domain models with @Path and setting up code generation plugins, adding initial complexity and tying models to dOOv-specific infrastructure.

Limited Ecosystem Size

Compared to established frameworks like Hibernate Validator, dOOv has a smaller community, which may result in fewer third-party integrations or resources for troubleshooting.

Vendor Lock-in Risk

The proprietary DSL and annotations make migration difficult; refactoring domain models and rules would be required if switching to another validation library.

Performance Trade-offs

The DSL and code generation layer can introduce slight overhead compared to direct Java code, which might be a concern in high-performance, latency-sensitive applications.

Frequently Asked Questions

What is dOOv?

Target Audience

Java developers working with domain-driven design (DDD) who need robust, maintainable validation and mapping logic in their applications, particularly in enterprise or complex business domains.

Value Proposition

Use Cases

Best For

Enforcing complex business rules in domain models with type safety
Reducing boilerplate code in validation and mapping logic
Generating human-readable documentation for validation rules
Testing validation logic with integrated assertions
Creating maintainable data transformation between different model representations
Implementing domain-specific languages for business logic in Java applications

Not Ideal For

Projects requiring simple, ad-hoc validation without a structured domain model
Teams not using Maven or Gradle for code generation setup
Applications needing runtime dynamic validation rules that change without recompilation
Projects heavily invested in standard Bean Validation annotations (JSR-303/349/380) preferring interoperability

Pros & Cons

Pros

Compile-Time Type Safety

The DSL enforces validation and mapping rules at compile time, reducing runtime errors as emphasized in the key features and examples.

Expressive Rule Composition

Supports chaining with and/or operators and methods like matchAny, allowing for readable, complex business logic without boilerplate code.

Integrated Mapping Support

Provides a fluent API for data transformation between models with customizable converters, streamlining model-to-model conversions as shown in the mapping example.

Human-Readable Debugging

Rules output plain text syntax trees via Readable#readable, aiding in debugging and documentation, as demonstrated in the syntax tree section.

Testing Utilities

Includes AssertJ-based assertions for validating rule behavior, making it easier to write and maintain tests for validation logic.

Cons

Annotation and Generation Overhead

Requires annotating domain models with @Path and setting up code generation plugins, adding initial complexity and tying models to dOOv-specific infrastructure.

Limited Ecosystem Size

Compared to established frameworks like Hibernate Validator, dOOv has a smaller community, which may result in fewer third-party integrations or resources for troubleshooting.

Vendor Lock-in Risk

The proprietary DSL and annotations make migration difficult; refactoring domain models and rules would be required if switching to another validation library.

Performance Trade-offs

The DSL and code generation layer can introduce slight overhead compared to direct Java code, which might be a concern in high-performance, latency-sensitive applications.

Frequently Asked Questions

dOOv

What is dOOv?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

dOOv

What is dOOv?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?