A dict-like SQLite wrapper with APSW for instant persistence and memory caching
Project description
NanaSQLite
A dict-like SQLite wrapper with instant persistence and intelligent caching.
English
🚀 Features
- Dict-like Interface: Use familiar
db["key"] = valuesyntax - Instant Persistence: All writes are immediately saved to SQLite
- Smart Caching: Lazy load (on-access) or bulk load (all at once)
- Nested Structures: Full support for nested dicts and lists (up to 30+ levels)
- High Performance: WAL mode, mmap, and batch operations for maximum speed
- Zero Configuration: Works out of the box with sensible defaults
📦 Installation
pip install nanasqlite
⚡ Quick Start
from nanasqlite import NanaSQLite
# Create or open a database
db = NanaSQLite("mydata.db")
# Use it like a dict
db["user"] = {"name": "Nana", "age": 20, "tags": ["admin", "active"]}
print(db["user"]) # {'name': 'Nana', 'age': 20, 'tags': ['admin', 'active']}
# Data persists automatically
db.close()
# Reopen later - data is still there!
db = NanaSQLite("mydata.db")
print(db["user"]["name"]) # 'Nana'
🔧 Advanced Usage
# Bulk load for faster repeated access
db = NanaSQLite("mydata.db", bulk_load=True)
# Batch operations for high-speed writes
db.batch_update({
"key1": "value1",
"key2": "value2",
"key3": {"nested": "data"}
})
# Context manager support
with NanaSQLite("mydata.db") as db:
db["temp"] = "value"
📚 Documentation
日本語
🚀 特徴
- dict風インターフェース: おなじみの
db["key"] = value構文で操作 - 即時永続化: 書き込みは即座にSQLiteに保存
- スマートキャッシュ: 遅延ロード(アクセス時)または一括ロード(起動時)
- ネスト構造対応: 30階層以上のネストしたdict/listをサポート
- 高性能: WALモード、mmap、バッチ操作で最高速度を実現
- 設定不要: 合理的なデフォルト設定でそのまま動作
📦 インストール
pip install nanasqlite
⚡ クイックスタート
from nanasqlite import NanaSQLite
# データベースを作成または開く
db = NanaSQLite("mydata.db")
# dictのように使う
db["user"] = {"name": "Nana", "age": 20, "tags": ["admin", "active"]}
print(db["user"]) # {'name': 'Nana', 'age': 20, 'tags': ['admin', 'active']}
# データは自動的に永続化
db.close()
# 後で再度開いても、データはそのまま!
db = NanaSQLite("mydata.db")
print(db["user"]["name"]) # 'Nana'
🔧 高度な使い方
# 一括ロードで繰り返しアクセスを高速化
db = NanaSQLite("mydata.db", bulk_load=True)
# バッチ操作で高速書き込み
db.batch_update({
"key1": "value1",
"key2": "value2",
"key3": {"nested": "data"}
})
# コンテキストマネージャ対応
with NanaSQLite("mydata.db") as db:
db["temp"] = "value"
📚 ドキュメント
License
MIT License - see LICENSE for details.
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