stoolap_flutter 0.2.0

High-performance, pure Rust embedded SQL database for Flutter with native Vector Search, MVCC transactions, and reactive Streams.

Stoolap Flutter SDK

The high-performance SQL database that ships with your app.

Stoolap is a high-performance, embedded SQL database written entirely in Rust. It brings enterprise-grade features like MVCC transactions, parallel execution, and native vector search directly to your Flutter applications.

Official Reference: https://stoolap.io/

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Features 📦

• 🦀 Pure Rust Core: Memory-safe and lightning-fast database engine.
• 🔍 Native Vector Search: VECTOR type and HNSW indexes for sub-linear semantic search.
• ⚡ Parallel Execution: Automatically parallelizes joins, sorts, and aggregations across all CPU cores.
• 🛡️ MVCC Transactions: Full ACID compliance with snapshot isolation. Readers never block writers.
• 🕰️ Time-Travel Queries: Query your data exactly as it existed in the past using the AS OF syntax.
• 🔄 Reactive API: Built-in support for "Live Queries" using Dart Streams.
• 🏗️ Advanced SQL: Supports CTEs (including Recursive), Window Functions, and standard SQL joins.
• 📱 Mobile Optimized: Optimized with SIMD for ARM64 (M1/M2 and modern Android chips).

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Quick Start 🚀

It's super easy to get started. You just need to initialize Stoolap and open your database.

1. Installation

Add stoolap_flutter to your pubspec.yaml:

dependencies:
  stoolap_flutter: ^0.2.0

2. Initialization

Initialize the native Rust bridge in your main() function:

import 'package:stoolap_flutter/stoolap_flutter.dart';

void main() async {
  WidgetsFlutterBinding.ensureInitialized();
  
  // Initialize the native Rust library
  await StoolapDatabase.init();
  
  runApp(const MyApp());
}

3. Basic Usage

final db = StoolapDatabase();
await db.open('my_app_data.db');

// Execute a command
await db.execute('CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)');

// Insert with parameters
await db.execute('INSERT INTO users (name) VALUES (?)', params: ['Alice']);

// Query results
final rows = await db.query('SELECT * FROM users');
for (var row in rows) {
  print('User: ${row.values[1]}'); // Access by index
}

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Documentation 📚

• 🦀 Rust Engine Docs – Full SQL reference and architecture details.
• 🎯 Vector Search Guide – Learn how to build semantic search.
• 🤝 Contributing – Help us build the future of mobile databases.

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Advanced Features 🛠️

Semantic Vector Search

Stoolap handles embeddings natively. No need for external Python scripts or API calls for distance calculations.

// Create table with vector support (384-dimensional)
await db.execute('''
  CREATE TABLE items (
    id INTEGER PRIMARY KEY,
    description TEXT,
    embedding VECTOR(384)
  )
''');

// Perform semantic search using Cosine distance
final results = await db.query('''
  SELECT description FROM items 
  ORDER BY VEC_DISTANCE_COSINE(embedding, EMBED(?)) 
  LIMIT 5
''', params: ['high-performance database']);

Reactive Live Queries

Use watch() to create a stream that automatically re-emits whenever the underlying tables change.

StreamBuilder<List<StoolapRow>>(
  stream: db.watch('SELECT * FROM users ORDER BY id DESC'),
  builder: (context, snapshot) {
    if (!snapshot.hasData) return const CircularProgressIndicator();
    final users = snapshot.data!;
    return ListView.builder(
      itemCount: users.length,
      itemBuilder: (context, index) => ListTile(title: Text(users[index].values[1].toString())),
    );
  },
);

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Join our community 🤝

We're building the most powerful embedded database for Flutter. Join us on GitHub to report issues, suggest features, or contribute code.

License

Licensed under the Apache License, Version 2.0. See LICENSE for details.