dqlite-client

Async Python client for dqlite, Canonical's distributed SQLite. It connects to a dqlite cluster, finds the current Raft leader, runs SQL, and pools connections.

The API is inspired by asyncpg's ergonomics — explicit connect() / create_pool(), fetch / fetchall / fetchval, and context-manager transactions — with a deliberately simple data model: fetch returns list[dict], fetchall returns list[list], fetchval returns a scalar. There is no Record type.

Is this the package you want?

Use dqlite-client directly when you want a lightweight async client with no ORM or DB-API layer, or when you need fine-grained control over cluster bootstrapping and the wire protocol.

If you want a standard PEP 249 driver, SQLAlchemy, Alembic, or most ORMs, reach for a higher layer instead — see The dqlite Python stack below.

Installation

pip install dqlite-client

Requires Python 3.13+.

Usage

import asyncio
from dqliteclient import connect

async def main():
    conn = await connect("localhost:9001")
    async with conn.transaction():
        await conn.execute("CREATE TABLE IF NOT EXISTS t (id INTEGER PRIMARY KEY, name TEXT)")
        await conn.execute("INSERT INTO t (name) VALUES (?)", ["hello"])
        rows = await conn.fetch("SELECT * FROM t")   # list[dict]
        for row in rows:
            print(row)
    await conn.close()

asyncio.run(main())

Connection pool

from dqliteclient import create_pool

pool = await create_pool(["localhost:9001", "localhost:9002", "localhost:9003"])
async with pool.acquire() as conn:
    rows = await conn.fetch("SELECT 1")

The dqlite Python stack

This is one of four layered packages. Each builds on the one below:

Package	Role
sqlalchemy-dqlite	SQLAlchemy 2.0 dialect
dqlite-dbapi	PEP 249 (DB-API 2.0) driver — sync & async
dqlite-client — this package	Async wire client — pooling, leader discovery
dqlite-wire	Wire-protocol codec

For SQLAlchemy/ORM use, prefer sqlalchemy-dqlite or dqlite-dbapi.

Documentation

• Connection pooling — sizing, startup, and leader behavior.
• Deployment: forking & multiprocessing — read this if you use gunicorn, Celery, or multiprocessing.
• Data types & NULL handling — the row model and a server-version gotcha for NULLs in typed columns.

Development

See DEVELOPMENT.md for setup and contribution guidelines.

License

MIT