quanta_db 0.0.1
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A high-performance pure Dart database implementation using LSM-Tree architecture.
QuantaDB: A High-Performance Pure Dart Local Database #
⚠️ Warning: This project is currently in beta development. Use accordingly for development and testing purposes.
QuantaDB is a modern, high-performance NoSQL local database built entirely in Dart. It's designed to provide a fast, reliable, and easy-to-use data storage solution for both Flutter applications and pure Dart projects.
Why QuantaDB? #
Existing local databases for Dart/Flutter often have external dependencies or performance limitations. QuantaDB aims to overcome these challenges by implementing a Log-Structured Merge Tree (LSM-Tree) storage engine from scratch in pure Dart, coupled with an annotation-driven code generation system for a developer-friendly experience.
Our goals include:
- Achieving competitive read and write performance.
- Providing a simple and intuitive API.
- Ensuring data durability and consistency.
- Supporting complex data models with relationships and indexing.
- Offering a reactive query system for real-time updates.
Architecture #
QuantaDB is built with a layered architecture to separate concerns and improve maintainability. The core of the database is the LSM-Tree storage engine.
High-Level Architecture #
Below is a high-level overview of the QuantaDB architecture:
[QuantaDB High-Level Architecture]
- Application Layer: Provides the public API and integrates with the annotation and code generation systems.
- Core Engine Layer: Contains the central logic for query processing, LSM storage management, and transactions.
- Storage Layer: Implements the core storage components like MemTable, SSTable Manager, Bloom Filters, and Compaction.
- Platform Layer: Interacts with the underlying file system and utilizes isolate workers for background tasks.
Data Flow #
Here's a diagram illustrating the typical data flow within QuantaDB:
[QuantaDB Data Flow]
- Data enters through the API.
- Queries are processed by the Query Engine.
- Write operations go through the MemTable and are eventually flushed to SSTables.
- Read operations utilize Bloom Filters and the MemTable before hitting SSTables.
- Compaction runs in the background to merge and optimize SSTables.
🔥 Performance Benchmarks 🔥 #
QuantaDB is designed for speed. Below are benchmark results comparing QuantaDB's performance for 10,000 write and read operations against other popular Dart/Flutter local databases (Hive and SQLite). These benchmarks were run on a specific environment and may vary, but they demonstrate QuantaDB's significant performance advantage, especially for write operations.
| Database | Operation | Total Operations | Total Time |
|---|---|---|---|
| QuantaDB | Write | 10000 | 30ms |
| QuantaDB | Read | 10000 | 9ms |
| Hive | Write | 10000 | 216ms |
| Hive | Read | 10000 | 8ms |
| SQLite | Write | 10000 | 3290ms |
| SQLite | Read | 10000 | 299ms |
As you can see, QuantaDB demonstrates significantly faster write performance compared to Hive and SQLite, while read performance is highly competitive.
Check out the benchmark code here to run it yourself and see the details.
Getting Started #
Installation #
- Depend on it
Add this to your package's pubspec.yaml file:
dependencies:
quanta_db: ^0.0.1
- Install it
You can install packages from the command line:
$ dart pub get
- Import it
Now in your Dart code, you can use:
import 'package:quanta_db/quanta_db.dart';
Usage #
Import the package and open a database. QuantaDB automatically handles platform-specific secure directory management for both Flutter and pure Dart environments.
import 'package:quanta_db/quanta_db.dart';
void main() async {
// Open the database
// The database files will be stored in a platform-specific secure location
final db = await QuantaDB.open('my_database');
// Put some data
await db.put('my_key', {'name': 'Quanta', 'version': 1.0});
// Get data
final data = await db.get('my_key');
print('Retrieved data: $data');
// Update data
await db.put('my_key', {'name': 'QuantaDB', 'version': 1.1});
final updatedData = await db.get('my_key');
print('Updated data: $updatedData');
// Delete data
await db.delete('my_key');
final deletedData = await db.get('my_key');
print('Deleted data: $deletedData');
// Close the database
await db.close();
}
Tips:
- QuantaDB is a NoSQL database, using a key-value store model based on LSM-Trees.
- Data is stored using a custom binary serialization format (DartBson).
- Directory management is handled automatically for different platforms, ensuring secure storage locations.
Contributing #
We welcome contributions! Please see the CONTRIBUTING.md for details.
License #
This project is licensed under the MIT License.
Note: This project is currently under active development. Features and APIs may change.