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套件詳情v5.6.1

loon

Loon 是一個用於 Dart 與 Flutter 的反應式集合資料儲存。

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安裝套件

flutter pub add loon

套件介紹

根據套件公開資料產生的選型評估,僅供參考。

Loon 是一個為 Dart 和 Flutter 應用程式設計的反應式集合資料儲存,提供具備 NoSQL 和 SQL 功能的持久化儲存。它讓開發者能夠以反應式方式管理資料集合,在資料變更時自動更新 UI。Loon 支援跨平台使用,相容 Android、iOS、Web 和 macOS,非常適合需要離線優先功能與即時資料同步的應用。其輕量級設計可無縫整合至 Flutter 工作流程中。

適用情境

  • 離線優先的移動應用
  • 即時資料同步
  • 跨平台資料持久化
  • 具有反應式資料的動態 UI
  • Web 應用中的本機資料管理

主要特色

  • 響應式資料繫結
  • 持久化 NoSQL 和 SQL 存儲
  • 跨平台相容性
  • 資料變更時自動更新 UI
  • 輕量且易於整合

適合對象

  • 尋求本地資料持久化的Flutter開發者
  • 需要離線功能的應用程式
  • 需要響應式狀態管理的專案
  • 建構多平台應用的團隊
  • 想要簡單而強大的資料儲存的開發者

使用建議

  • 可能需要學習曲線來掌握SQL功能
  • 與成熟替代方案相比,文件有限
  • 性能取決於資料大小和複雜性
  • 不適合用於大規模伺服器端資料庫
  • 最適合客戶端資料,而不是後端服務

原始 README

以下為關聯原始碼儲存庫的 README 原文快照,最新內容請造訪原始碼儲存庫。

Loon



Android iOS Web macOS
✅ ✅ ✅ ✅

Loon is a reactive document data store for Flutter.

Features

  • Synchronous reading, writing and querying of documents.
  • Streaming of changes to documents and queries.
  • Out of the box persistence and encryption.

Install

flutter pub add loon

➕ Creating documents

Loon makes it easy to work with collections of documents.

import 'package:loon/loon.dart';

Loon.collection('users').doc('1').create({
  'name': 'John',
  'age': 28,
});

Documents are stored under collections in a tree structure. They can contain any type of data, like a String, Map or typed data model:

import 'package:loon/loon.dart';
import './models/user.dart';

Loon.collection<UserModel>(
  'users',
  fromJson: UserModel.fromJson,
  toJson: (user) => user.toJson(),
).doc('1').create(
  UserModel(
    name: 'John',
    age: 28,
  )
);

If persistence is enabled, then a typed collection needs to specify a fromJson/toJson serialization pair. In order to avoid having to specify types or serializers whenever a collection is accessed, it can be helpful to store the collection in a variable or as an index on the data model:

class UserModel {
  final String name;
  final int age;

  UserModel({
    required this.name,
    required this.age,
  });

  static final Collection<UserModel> store = Loon.collection(
    'users',
    fromJson: UserModel.fromJson,
    toJson: (user) => user.toJson(),
  );
}

Documents can then be read/written using the index:

UserModel.store.doc('1').create(
  UserModel(
    name: 'John',
    age: 28,
  ),
);

📚 Reading documents

final snap = UserModel.store.doc('1').get();

if (snap != null && snap.data.name == 'John') {
  print('Hi John!');
}

Reading a document returns a DocumentSnapshot? which exposes a document's data and ID:

print(snap.id) // 1
print(snap.data) // UserModel(...)

To watch for changes to a document, you can listen to its stream:

UserModel.store.doc('1').stream().listen((snap) {});

You can then use Flutter's built-in StreamBuilder or the library's DocumentStreamBuilder widget to access data from widgets:

class MyWidget extends StatelessWidget {
  @override
  build(context) {
    return DocumentStreamBuilder(
      doc: UserModel.store.doc('1'),
      builder: (context, snap) {
        final user = snap?.data;

        if (user == null) {
          return Text('Missing user');
        }

        return Text('Found user ${user.name}');
      }
    )
  }
}

𖢞 Subcollections

Documents can be nested under subcollections. Documents in subcollections are uniquely identified by the path to their collection and their document ID.

final friendsCollection = UserModel.store.doc('1').subcollection('friends');

friendsCollection.doc('2').create(UserModel(name: 'Jack', age: 17));
friendsCollection.doc('3').create(UserModel(name: 'Brenda', age: 40));
friendsCollection.doc('4').create(UserModel(name: 'Bill', age: 70));

final snaps = friendsCollection.get();

for (final snap in snaps) {
  print("${snap.data.name}: ${snap.path}");
  // Jack: users__1__friends__2
  // Brenda: users__1__friends__3
  // Bill: users__1__friends__4
}

🔎 Queries

Documents can be filtered using queries:

final snapshots = friendsCollection.where((snap) => snap.data.name.startsWith('B')).get();
for (final snap in snapshots) {
  print(snap.data.name);
  // Brenda
  // Bill
}

Queries can also be streamed, optionally using the QueryStreamBuilder:

class MyWidget extends StatelessWidget {
  @override
  build(context) {
    return QueryStreamBuilder(
      query: UserModel.store.where((snap) => snap.data.age >= 18),
      builder: (context, snaps) {
        return ListView.builder(
          itemCount: snaps.length,
          builder: (context, snap) {
            return Text('${snap.data.name} is old enough to vote!');
          }
        )
      }
    )
  }
}

✏️ Updating documents

Assuming a model has a copyWith function, documents can be updated as shown below:

final doc = UserModel.store.doc('1');
final snap = doc.get();

doc.update(snap.data.copyWith(name: 'John Smith'));

The reading and writing of a document can be combined using the modify API.

UserModel.store.doc('1').modify((snap) {
  return snap.data.copyWith(name: 'John Smitherson');
});

❌ Deleting documents

Deleting a document removes it and all of its subcollections from the store.

UserModel.store.doc('1').delete();

🌊 Streaming changes

Documents and queries can be streamed for changes which provides the previous and current document data as well as the event type of the change:

UserModel.store.streamChanges().listen((changes) {
  for (final changeSnap in changes) {
     switch(changeSnap.event) {
      case BroadcastEvents.added:
        print('New document ${changeSnap.id} was added to the collection.');
        break;
      case BroadcastEvents.modified:
        print('The document ${changeSnap.id} was modified from ${changeSnap.prevData} to ${changeSnap.data}.');
        break;
      case BroadcastEvents.removed:
        print('${changeSnap.id} was removed from the collection.');
        break;
      case BroadcastEvents.hydrated:
        print('${changeSnap.id} was hydrated from the persisted data.');
        break;
    }
  }
});

🔁 Data Dependencies

Data relationships in the store can be established using the data dependencies builder.

class PostModel {
  final String message;
  final String userId;

  PostModel({
    required this.message,
    required this.userId,
  })
}

final posts = Loon.collection<PostModel>(
  'posts',
  dependenciesBuilder: (snap) {
    return {
      UserModel.store.doc(snap.data.userId),
    };
  },
);

In this example, whenever a post's associated user is updated, the post will also be rebroadcast to its active listeners.

Additionally, whenever a document is updated, it will rebuild its set of dependencies, allowing documents to support dynamic dependencies that can change in response to updated document data.

🪴 Root collection

Not all documents necessarily make sense to be grouped together under any particular collection. In this scenario, any one-off documents can be stored on the root collection:

Loon.doc('current_user_id').create('1');

🗄️ Data Persistence

Persistence is supported on both web and native platforms. It works out of the box and can be configured on app start.

Native platforms (iOS, Android, macOS) use a default file-based persistence implementation, while web persists data to IndexedDB.

The currently available persistence options are broken down by platform:

Native
  • SqlitePersistor: A SQLite persistence implementation using sqflite. Documents are distributed in rows based on their persistence configuration.
  • FilePersistor: A file-based persistence implementation for native platforms. Documents are stored in one or more files based on the persistence configuration.
Web
  • IndexedDBPersistor: The default persistence implementation for web platforms. Documents are stored in IndexedDB, a low-level API for web-based client-side storage.
    • Note: Encryption on web is experimental through flutter_secure_storage. It is important to enable the correct headers in order to ensure security of encryption on web.

⚙️ Configuration

Specify your preferred persistor on startup or use Persistor.current() to dynamically select the default persistence implementation for the current platform (FilePersistor on Android/iOS, IndexedDBPersistor on web).

void main() {
  Loon.configure(persistor: Persistor.current());
  // Loon.configure(persistor: FilePersistor());
  // Loon.configure(persistor: SqlitePersistor());

  Loon.hydrate().then(() {
    print('Hydration complete');
  });

  runApp(const MyApp());
}

No persisted data is available on startup until it is manually requested by calling hydrate.

The call to hydrate returns a Future that resolves when the data has been hydrated from the persistence layer. By default, calling hydrate() will hydrate all persisted data. If only certain data should be hydrated, then it can be called with a list of documents and collections to hydrate. All subcollections of the specified paths are also hydrated.

await Loon.hydrate([
  Loon.doc('current_user_id'),
  Loon.collection('users'),
]);

⚙️ Dynamic options

Persistence options can be specified both globally as well as on a per-collection basis.

// main.dart
void main() {
  // Globally enable encryption.
  Loon.configure(persistor: FilePersistor(settings: PersistorSettings(encrypted: true));

  Loon.hydrate().then(() {
    print('Hydration complete');
  });
}

// models/user.dart
class UserModel {
  final String name;
  final int age;

  UserModel({
    required this.name,
    required this.age,
  });

  static Collection<UserModel> get store {
    return Loon.collection(
      'users',
      fromJson: UserModel.fromJson,
      toJson: (user) => user.toJson(),
      // Disable encryption specifically for this collection and its subcollections.
      settings: PersistorSettings(encrypted: false),
    )
  }
}

In this example, file encryption is enabled globally for all collections, but disabled specifically for the users collection and its subcollections in the store.

By default all data in a single __store__.json persistence file.

loon >
  __store__.json

If data needs to be persisted differently, either by merging data across collections into a single store or by breaking down a collection into multiple stores, then a custom persistence key can be specified on the collection:

class UserModel {
  final String name;
  final int age;

  UserModel({
    required this.name,
    required this.age,
  });

  static Collection<UserModel> get store {
    return Loon.collection(
      'users',
      fromJson: UserModel.fromJson,
      toJson: (user) => user.toJson(),
      settings: PersistorSettings(
        key: Persistor.key('users'),
      ),
    )
  }
}

In the updated example, data from the users collection is now stored in a separate file store:

loon >
  __store__.json
  users.json

If documents need to be stored in different files based on their data, then a Persistor.keyBuilder can be used:

class UserModel {
  final String name;
  final int age;

  UserModel({
    required this.name,
    required this.age,
  });

  static Collection<UserModel> get store {
    return Loon.collection(
      'users',
      fromJson: UserModel.fromJson,
      toJson: (user) => user.toJson(),
      settings: PersistorSettings(
        key: Persistor.keyBuilder((snap) {
          if (snap.data.age >= 18) {
            return 'adult_users';
          }
          return 'users';
        }),
      ),
    )
  }
}
loon >
  __store__.json
  users.json
  adult_users.json

Now instead of storing all users in the users.json file, they will be distributed across multiple files based on the user's age. The key is recalculated whenever a document's data changes and if its associated key is updated, then the document is moved from its previous file to its updated location.

🎨 Custom persistence

If you would prefer to persist data using an alternative implementation than the default persistors, you can implement the persistence interface:

import 'package:loon/loon.dart';

class MyPersistor extends Persistor {
  /// Initialization function called when the persistor is instantiated to execute and setup work.
  Future<void> init();

  /// Persist function called with the bath of documents that have changed (including been deleted) within the last throttle window
  /// specified by the [Persistor.persistenceThrottle] duration.
  Future<void> persist(Set<Document> docs);

  /// Hydration function called to read data from persistence. If no references are specified,
  /// then it hydrates all persisted data. if refs are specified, it hydrates only the data at
  /// and under those paths.
  Future<Json> hydrate([Set<StoreReference>? refs]);

  /// Clear function used to clear all documents under the given store paths.
  Future<void> clear(Set<StoreReference> refs);

  /// Clears all documents and removes all persisted data.
  Future<void> clearAll();
}

Extensions

Documents

  • Architecture: An architecture doc that breaks down the inner workings of the library.
  • Debugging: A debugging doc that calls out any known issues or troubleshooting suggestions across different platforms.

Happy coding

That's all for now! Want a feature? Found a bug? Create an issue!

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依賴清單 7 項

原始碼儲存庫

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