For many architects, the process of data modeling is driven by intuition. However, there are well-formulated methodologies for approaching it more formally. I recommend the Domain-Driven Design and choose it as AppFlowy architecture.
The most common architecture pattern is the layered architecture pattern, known as the n-tier architecture pattern.
Partition the software into layers
to reduce the complexity. Each layer of the layered architecture pattern has a
specific role and responsibility.DDD
consists of four layers.
┌──────────────────────────────────────────────────┐ ─────────▶
│ Presentation Layer │──┐ Dependency
└──────────────────────────────────────────────────┘ │
│ │
▼ │
┌──────────────────────────────────────────────────┐ │
│ Application Layer │ │
└──────────────────────────────────────────────────┘ │
│ │
▼ │
┌──────────────────────────────────────────────────┐ │
│ Domain Layer │◀─┘
└──────────────────────────────────────────────────┘
▲
│
┌──────────────────────────────────────────────────┐
│ Infrastructure Layer │
└──────────────────────────────────────────────────┘
Presentation Layer:
Application Layer:
Domain Layer:
Infrastructure Layer:
As you see, the Complexity
and Abstraction
of these layers are depicted in the following diagram. Software system are composed in layers,
where higher layers use the facilities provided by lower layers. Each layer provides a different abstraction from the layer above
and below it. As developers, we should pull the complexity downwards. Simple interfaces and powerful implementations (Think about the
open function). Another way of expressing this idea is that it is more important
for a module to have a simple interface than a simple implementation.
▲
│
Level of ├───────────────────┐
Abstraction │ Presentation │
├───────────────────┴───────┐
│ Application │
├───────────────────────────┴─────────┐
│ Domain │
├─────────────────────────────────────┴────────┐
│ Infrastructure │
└──────────────────────────────────────────────┴─────▶
Complexity
DDD classifies data as referenceable objects, or entities, and non-referenceable objects, or value objects. Let's introduce some DDD terminology.
Entity
Entities
are plain objects that carry an identity which allows us to reference them. e.g. user, order, book, etc.
You use entities
to express your business model and encapsulate them into Factory that provides a simple API to create Entities.
Value Object
Value Object
can't be referenced. They can be only included into entities and serve as attributes. Value objects could be simple and treat as immutable. e.g. email, phone number, name, etc.
Aggregate
Entities
and Value objects
can be grouped into aggregates. Aggregates can simplify the model by accessing the entire aggregate.
For instance, Table has lots of rows. Each row using the table_id to reference to the
table. TableAggregate includes two entities: Table and the Row.
TableAggregate
┌────────────────────────────────────────────────────────────────┐
│ │
│ ┌────────────────────┐ ┌─────────────────────────┐ │
│ │struct Table { │ │struct Row { │ │
│ │ id: String, │ │ table_id: String, │ │
│ │ desc: String, │◀▶───────│} │ │
│ │} │ │ │ │
│ └────────────────────┘ └─────────────────────────┘ │
│ │
└────────────────────────────────────────────────────────────────┘
Service
When a significant process of transformation in the domain is not a natural responsibility of an Entity
or Value object
, add an operation to the model as standalone interface declared as a Service. For instance: The Value object
EmailAddress uses the function validateEmailAddress
to verify if the email address is valid or not. Service
exists in Application, Domain and Infrastructure.
class EmailAddress {
final Either<Failure<String>, String> value;
factory EmailAddress(String? input) {
return EmailAddress._(
validateEmailAddress(input),
);
}
const EmailAddress._(this.value);
}
Either<Failure<String>, String> validateEmailAddress(String? input) {
...
}
Repository
Repositories offer an interface to retrieve and persist aggregates and entities. They hide the database or network details from the domain.
Repository interfaces are declared in the Domain Layer, but the repositories themselves are implemented in the Infrastructure Layer. You can replace the interface implementation without impacting the domain layer.
For instance:
// Interface:
abstract class AuthInterface {
...
}
// Implementation
class AuthRepository implements AuthInterface {
...
}
More often than not, the repository interface can be divided into sub-repository in order to reduce the complexity.
The diagram below is a navigational map. It shows the patterns that form the building blocks of Domain Driven Design and how they relate to each other.
presentation │ Application domain Infrastructure
│ │
7 Data Model
┌──────────────────────────────┐ │ ┌────────────────────────┐ │ ┌─────────────────────┐
│ │ │ │ ┌─────────────┐ │ │ Network Service │
▼ Bloc │ │ │ │ Aggregate │ │ │ └─────────────────────┘
┌─────────────┐ │ ┌─────────────────┴─────┐ │ └─────────────┘ │ ▲
────────▶ Widget │ │ ┌────────┐ ┌────────┐ │ 2 │ ┌────────┐ │ │ │ 6
└─────────────┘ │ │ │ Event │ │ State │ │────┬───▶│ │ Entity │ │ ┌─────────────────────┐
User │ │ └────────┘ └────────┘ │ │ │ │ └────────┘ │ │ │ Persistence Service │
interaction │ │ └──────▲────────────────┘ │ │ ┌─────────────────┐ │ └─────────────────────┘
│ │ │ │ │ │ Value Object │ │ │ ▲
└──────────┼────────┘ │ │ └─────────────────┘ │ │ 5
1 │ │ └────────────◈───────────┘ │ ┌─────────────────────┐
│ │ │contain │ Unit of Work │
│ │ ┌────────────────────┐ │ └─────────────────────┘
│ │ │ Service │ ▲
│ │ └────────────────────┘ │ │
│ │ │ 4
│ │ Repository │ │
│ │ ┌─────────────────────────────────────────────┴───────────────┐
│ │ │ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ 3 ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ │
│ └───┤ Interface ────▶ Implementation │
│ │ └ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘ └ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘ │
│ └─────────────────────────────────────────────────────────────┘
│
Widget accepts user interaction and translates the interactions into specific Events. The events will be sent to the Application layer, handled by the specific bloc
. The bloc
sends the states changed by the events back to the widget, and finally the Widget
updates the UI according to the state. The pattern is depicted in this diagram. (More about the flutter bloc)
┌──────────── State ────────────┐
│ │
▼ Bloc │
┌─────────────┐ ┌─────────────┼─────────┐
────────▶│ Widget │ │ ┌────────┐ ┌┴───────┐ │
└─────────────┘ │ │ Event │ │ State │ │
User interaction │ │ └────────┘ └────────┘ │
│ └───────────────────────┘
│ ▲
│ │
└────────── Event ────────────┘
The bloc
processes the events using the services provided by the Domain
layer.
Calling repositories to perform additional operations. The repositories interfaces are declared in the Domain
layer and are implemented in the Infrastructure
layer.
You can reimplement the repository interface with different languages, such as Rust
, C++
or Dart
. etc.
Domain Infrastructure
Repository A │
┌────────────────────────────┼────────────────────────────────┐
│ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ │ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ │
│ Interface ──┼─▶ Implementation │
│ └ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘ │ └ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘ │
└────────────────────────────┼────────────────────────────────┘
Repository B │
┌────────────────────────────┼────────────────────────────────┐
│ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ │ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ │
│ Interface ──┼─▶ Implementation │
│ └ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘ │ └ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘ │
└────────────────────────────┴────────────────────────────────┘
The responsibility of Unit of Work is to maintain a list of objects affected by a business transaction and coordinates the writing out of changes and the resolution of concurrency problems((No intermediate state)). If any one persistence service fails, the whole transaction will be failed so, roll back operation will be called to put the object back in initial state.
Handling operations (INSERT, UPDATE and DELETE) with SQLite to persis the data.
Saving or querying the data in the cloud to finish the operation.