Python — dbx-py

Official Python bindings for DBX high-performance embedded database.

Key Features

🚀 Native Performance: Rust-based PyO3 bindings
💾 5-Tier Storage: WOS → L0 → L1 → L2 → Cold Storage
🔒 MVCC Transactions: Snapshot isolation support
📊 SQL Support: Full DDL + DML support
🔐 Encryption: AES-GCM-SIV, ChaCha20-Poly1305
🐍 Pythonic API: Context Manager, Type Hints

Quick Start

pip install dbx-py

from dbx_py import Database

db = Database.open_in_memory()

# KV operations
db.insert("users", b"user:1", b"Alice")
value = db.get("users", b"user:1")
print(value.decode())  # Alice

# SQL operations
db.execute_sql("CREATE TABLE users (id INTEGER, name TEXT)")
db.execute_sql("INSERT INTO users VALUES (1, 'Alice')")
result = db.execute_sql("SELECT * FROM users")
print(result)

db.close()

Documentation

Installation - Setup and configuration
Quick Start - Get started in 5 minutes
KV Operations - Key-Value operations guide
SQL Guide - SQL usage
Advanced - Transactions, encryption, performance tuning
API Reference - Complete API documentation
Examples - Real-world examples

Version Info

Current Version: 0.0.6-beta
Python Requirements: 3.8+
Platform: Windows x64 (Linux/macOS planned)

License

MIT License

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