Skip to main content

Asyncio support for Firebird in SQLAlchemy

Project description

sqlalchemy-firebird-async

Python Version License Status

Asynchronous Firebird dialect for SQLAlchemy.

This library provides proper asyncio support for Firebird databases in SQLAlchemy 2.0+, allowing you to write fully asynchronous code using modern Python patterns.

It supports three underlying drivers:

  1. fdb (Legacy) - Runs the official C-based driver in a thread pool. Fast and stable.
  2. firebird-driver (Modern) - Official driver for Firebird 3+. Also threaded (run_in_executor).
  3. firebirdsql - Pure Python asyncio driver. Currently experimental due to upstream issues.

📦 Installation

Install using pip:

# Install with the FDB driver (Legacy, Stable)
pip install "sqlalchemy-firebird-async[fdb]"

# Install with the Firebird Driver (Modern, FB 3.0+)
pip install "sqlalchemy-firebird-async[firebird-driver]"

# Install with pure python driver (Experimental)
pip install "sqlalchemy-firebird-async[firebirdsql]"
# Note: For correct async behavior with firebirdsql, you might need a patched version:
# pip install git+https://github.com/attid/pyfirebirdsql.git

🚀 Quick Start

1. Using FDB Driver (Legacy)

This dialect runs the legacy fdb driver in a thread pool.

URL Scheme: firebird+fdb_async://

import asyncio
from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker
from sqlalchemy import text

async def main():
    # Format: firebird+fdb_async://user:password@host:port/path/to/db
    dsn = "firebird+fdb_async://sysdba:masterkey@localhost:3050//firebird/data/employee.fdb"
    
    engine = create_async_engine(dsn, echo=True)
    # ... usage is identical for all drivers

2. Using Firebird Driver (Modern)

This dialect uses the modern firebird-driver package (the official driver for Firebird 3.0+), running in a thread pool. It requires Firebird 3.0 or higher.

URL Scheme: firebird+firebird_async://

engine = create_async_engine(
    "firebird+firebird_async://sysdba:masterkey@localhost:3050//firebird/data/employee.fdb?charset=UTF8"
)

3. Using Native Async Driver (firebirdsql)

Warning: The upstream firebirdsql driver currently has issues with asyncio compatibility (bugs causing crashes or incorrect behavior). A patched fork is available at attid/pyfirebirdsql, which fixes the async logic but currently exhibits significantly lower performance (approx. 4x slower than fdb).

URL Scheme: firebird+firebirdsql_async://

engine = create_async_engine(
    "firebird+firebirdsql_async://sysdba:masterkey@localhost:3050//firebird/data/employee.fdb"
)

📊 Performance Comparison

We compared both drivers executing 5000 queries in 8 concurrent tasks (4 raw SQL + 4 ORM).

Metric fdb (Threaded) 🏆 firebirdsql (Patched) Difference
Total Time 4.53s 116.20s ~25x slower
Avg Query Time (ORM) 2.54s 114.43s ~45x slower
Avg Query Time (Raw) 4.44s 116.14s ~26x slower
Parallel Ratio 6.16x 7.94x -

Benchmark details: 8 concurrent workers, 5000 rows each, total 40k rows.

As seen above, fdb in a thread pool is significantly faster for high-load scenarios.

🔌 Connection String Guide

Driver Protocol URL Scheme
fdb (Legacy) TCP/IP firebird+fdb_async://user:pass@host:port/db_path
firebird-driver (Modern) TCP/IP firebird+firebird_async://user:pass@host:port/db_path
firebirdsql TCP/IP firebird+firebirdsql_async://user:pass@host:port/db_path

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlalchemy_firebird_async-0.2.0.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sqlalchemy_firebird_async-0.2.0-py2.py3-none-any.whl (10.0 kB view details)

Uploaded Python 2Python 3

File details

Details for the file sqlalchemy_firebird_async-0.2.0.tar.gz.

File metadata

  • Download URL: sqlalchemy_firebird_async-0.2.0.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.10 {"installer":{"name":"uv","version":"0.9.10"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for sqlalchemy_firebird_async-0.2.0.tar.gz
Algorithm Hash digest
SHA256 0be87311b971bacad98c71b380de0b36ba19b182190a9e37a73828fcde17eb3b
MD5 d1a8fe8655a28f4b64f10654082958e4
BLAKE2b-256 6be6f52ca0011ccaf8934848c378d380a8921a9fc77072d05677c76c2d3eab01

See more details on using hashes here.

File details

Details for the file sqlalchemy_firebird_async-0.2.0-py2.py3-none-any.whl.

File metadata

  • Download URL: sqlalchemy_firebird_async-0.2.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 10.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.10 {"installer":{"name":"uv","version":"0.9.10"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for sqlalchemy_firebird_async-0.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4f74b35854cb2e213ab054e4db5d42d8f14637031d1df5e1b1649d2c9ec6228c
MD5 c5dde164274304cb3bf61a42a1662074
BLAKE2b-256 9192b475496ec56fdebb7d580b30911df768e774d21306bcae0a1ec45e45aeb9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page