A Data Transfer Object (DTO) is a design pattern used to transfer data between layers in a software application. It is a plain object that contains data but no business logic. DTOs are commonly used in APIs, microservices, and database interactions to improve performance, security, and maintainability.
Features:
- Encapsulates Data: Contains only attributes (no behavior).
- Prevents Unnecessary Data Exposure: Restricts data transfer to only relevant fields.
- Improves Performance: Reduces serialization/deserialization overhead.
- Ensures Data Consistency: Avoids exposing internal models directly.
Why use it?
- Separation of Concerns: Decouples internal models from external data representation.
- Better Security: Prevents exposing sensitive fields (e.g., passwords).
- Improved Performance: Reduces data transferred over the network.
- Easier Versioning: API responses remain stable even when internal models change.
Examples
DTO in Python (Using Pydantic for API Data Validation)
from pydantic import BaseModel
class UserDTO(BaseModel):
id: int
name: str
email: str
def get_user() -> UserDTO:
return UserDTO(id=1, name="Alice", email="alice@example.com")
Prevents unnecessary fields (e.g., passwords) from being exposed in API responses.
DTO in Java (Using Lombok for Simplicity)
import lombok.Data;
@Data
public class UserDTO {
private int id;
private String name;
private String email;
}