pysqlx-engine 0.3.0b7

Async and Sync SQL Engine for Python, with support for PostgreSQL, MySQL, SQLite and Microsoft SQL Server.

PySQLXEngine

PySQLXEngine, a fast and minimalist SQL engine

---

Documentation: https://carlos-rian.github.io/pysqlx-engine/

Source Code: https://github.com/carlos-rian/pysqlx-engine

---

PySQLXEngine supports the option of sending raw sql to your database.

The PySQLXEngine is a minimalist Async and Sync SQL engine. Currently this lib have supports async and sync programming.

The PySQLXEngine was created and thought to be minimalistic, but very efficient. The core is write in Rust, making communication between database and Python more efficient.

Database Support:

• SQLite
• PostgreSQL
• MySQL
• Microsoft SQL Server

OS Support:

• Linux
• MacOS
• Windows

Installation

UV

$ uv add pysqlx-engine

PIP

$ pip install pysqlx-engine

Poetry

$ poetry add pysqlx-engine

Async Example

Create a main.py file and add the code examples below.

from pysqlx_engine import PySQLXEngine

async def main():
    db = PySQLXEngine(uri="sqlite:./db.db")
    await db.connect()

    await db.execute(sql="""
        CREATE TABLE IF NOT EXISTS users (
            id INTEGER PRIMARY KEY, 
            name TEXT, 
            age INT
        )
    """)
    await db.execute(sql="INSERT INTO users (name, age) VALUES ('Rian', '28')")
    await db.execute(sql="INSERT INTO users (name, age) VALUES ('Carlos', '29')")

    rows = await db.query(sql="SELECT * FROM users")

    print(rows)

import asyncio
asyncio.run(main())

Sync Example

Create a main.py file and add the code examples below.

from pysqlx_engine import PySQLXEngineSync

def main():
    db = PySQLXEngineSync(uri="sqlite:./db.db")
    db.connect()

    db.execute(sql="""
        CREATE TABLE IF NOT EXISTS users (
            id INTEGER PRIMARY KEY, 
            name TEXT, 
            age INT
        )
    """)
    db.execute(sql="INSERT INTO users (name, age) VALUES ('Rian', '28')")
    db.execute(sql="INSERT INTO users (name, age) VALUES ('Carlos', '29')")

    rows = db.query(sql="SELECT * FROM users")

    print(rows)

# running the code
main()

Running the code using the terminal

$ python3 main.py

Output

[
    BaseRow(id=1, name='Rian', age=28),  
    BaseRow(id=2, name='Carlos', age=29)
]