nanasqlite 1.0.3rc3

A dict-like SQLite wrapper with APSW for instant persistence and memory caching

NanaSQLite

A dict-like SQLite wrapper with instant persistence and intelligent caching.

English | 日本語

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English

🚀 Features

• Dict-like Interface: Use familiar db["key"] = value syntax
• 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

• English Documentation
• API Reference

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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

• 日本語ドキュメント
• APIリファレンス

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License

MIT License - see LICENSE for details.