SQLAlchemy dialect for Google Cloud Datastore in Firestore mode

Installation

Install from PyPI:

pip install python-datastore-sqlalchemy

Install from a local checkout:

uv pip install -e .

Runtime dependencies are declared in pyproject.toml. requirements.txt is not used by this project.

Usage

from sqlalchemy import create_engine, text

engine = create_engine(
    "datastore://my-project/?database=my-db",
    credentials="path/to/credentials.json",
)

with engine.connect() as conn:
    result = conn.execute(text("SELECT * FROM test_table"))
    print(result.fetchall())

Preview

[!WARNING] Please note: Not all GQL and SQL syntax has been fully tested. Should you encounter any bugs, please post the relevant query and open an issue on GitHub.

How to contribute

Feel free to open issues and pull requests on GitHub.

Development

This project supports Python 3.10 and newer. It uses a uv-managed virtual environment by default. The lockfile is tracked so local development and CI use the same dependency resolution.

Install the development environment:

uv sync --locked

Run the test suite:

uv run pytest

The Datastore-backed tests require the Google Cloud SDK with the beta and cloud-datastore-emulator components installed. If gcloud is not on PATH, point the test fixture at it explicitly:

GCLOUD_PATH=/path/to/google-cloud-sdk/bin/gcloud uv run pytest

Development Notes

• Develop a SQLAlchemy and its dialects