Domain Driven Design (DDD) is a software development approach that emphasizes building software based on the business domain. It focuses on creating a shared understanding of the domain among stakeholders and developers, as well as designing software that reflects that understanding. In this article, we will explore how to apply DDD in Golang, including examples of entities and value objects, ubiquitous language, context mapping, and bounded contexts. We will also discuss the difference between a rich domain and an anemic domain.
Entities and Value Objects
In DDD, an entity is an object that has an identity and can change over time. It represents a concept in the business domain that is meaningful and unique. In Golang, entities can be represented using structs with an ID field that uniquely identifies the entity. For example, let's consider a User entity:
type User struct {
ID int64
Name string
Email string
CreatedAt time.Time
UpdatedAt time.Time
}
In this example, the User entity has an ID, a name, email, and timestamps for when the user was created and last updated.
A value object, on the other hand, is an object that represents a concept in the domain, but does not have an identity. It is immutable and can be shared among different entities. In Golang, value objects can be represented using structs without an ID field. For example, let's consider a Email value object:
type Email struct {
Value string
}
In this example, the Email value object only has a Value field, which represents the email address.
Ubiquitous Language
Ubiquitous language is a language that is understood and used by all stakeholders in the business domain, including developers, users, and domain experts. In DDD, it is important to use a ubiquitous language to avoid misunderstandings and ensure that the software accurately reflects the domain. In Golang, we can use struct tags to annotate the fields with domain-specific terms. For example, let's annotate the User entity:
type User struct {
ID int64 `json:"id"`
Name string `json:"name"`
Email Email `json:"email"`
CreatedAt time.Time `json:"created_at"`
UpdatedAt time.Time `json:"updated_at"`
}
In this example, we use the json struct tag to annotate the fields with domain-specific terms, such as id, name, email, created_at, and updated_at.
Context Mapping and Bounded Contexts
Context mapping is a technique in DDD that helps to define relationships between different parts of the domain. It involves identifying bounded contexts, which are self-contained parts of the domain that have their own language, models, and rules. In Golang, we can use packages to represent bounded contexts. For example, let's consider a User bounded context:
user/
domain/
entity.go
value_object.go
repository.go
usecase/
create_user.go
get_user.go
delivery/
http/
handler.go
In this example, we have a user package that contains a domain subpackage with the User entity and Email value object, a usecase subpackage with the CreateUser and GetUser use cases, and a delivery subpackage with the http sub-subpackage that contains the Handler for handling HTTP requests related to users.
Rich Domain vs. Anemic Domain
In Domain Driven Design (DDD), there are two types of domains: rich domain and anemic domain. A rich domain is a domain that has behavior and encapsulates its state, while an anemic domain is a domain that only contains data with little to no behavior.
In Golang, we can implement a rich domain using structs and methods. For example, let's consider a User entity that has behavior:
type User struct {
ID int64
Name string
Email Email
Password string
CreatedAt time.Time
UpdatedAt time.Time
}
func (u *User) SetPassword(password string) error {
if len(password) < 8 {
return errors.New("password must be at least 8 characters long")
}
hash, err := bcrypt.GenerateFromPassword([]byte(password), bcrypt.DefaultCost)
if err != nil {
return err
}
u.Password = string(hash)
return nil
}
In this example, the SetPassword method sets the user's password and applies a business rule that requires the password to be at least 8 characters long. The method also uses the bcrypt library to securely hash the password before storing it.
By encapsulating this business rule within the User entity, we ensure that the rule is always enforced whenever a password is set. This helps to maintain the integrity and security of the user's account.
Conclusion
In conclusion, using Domain Driven Design (DDD) in Golang can bring many benefits to software development. By focusing on the domain and its language, DDD can help teams to better understand and model complex business domains, resulting in more maintainable, scalable and extensible code.
- Clear separation of concerns: DDD encourages the separation of the domain logic from the infrastructure and application logic, making it easier to reason about and modify each part of the system separately.
- Ubiquitous language: By using a shared language between the business and technical teams, DDD ensures that everyone is on the same page and can communicate effectively about the domain.
- Rich domain model: By encapsulating behavior within the domain entities, DDD helps to ensure that business rules are always applied correctly and consistently.
- Context mapping: By identifying and mapping bounded contexts, DDD can help teams to better understand the relationships and interactions between different parts of the system, leading to better design decisions and more cohesive architecture.
Overall, using DDD in Golang can help teams to build more robust and maintainable software that better reflects the needs and complexities of the business domain.
Top comments (1)
The example of rich domain model is wrong in many ways. It doesn't encapsulate business logic, as all the fields are public and can be set directly.
SetPasswordmethod should be a single way to set the password.