Skip to main content

A handy way to interact with an SQLite database from Python

Project description

Litequery

Litequery is a minimalist library for interacting with SQLite in Python. It lets you define your queries once and call them as methods. No ORM bloat, just raw SQL power, with the flexibility to operate in both asynchronous and synchronous modes.

Why Litequery?

  • Simplicity: Define SQL queries in .sql files. No complex ORM layers.
  • Async first: Built for modern async Python, but also supports synchronous operations for traditional use cases.
  • Flexible: Supports different SQL operations seamlessly.

Installation

pip install litequery

Getting Started

Define Your Queries

Create a queries.sql file. Name your queries using comments and write them in pure SQL.

-- name: get_all_users
SELECT * FROM users;

-- name: get_user_by_id^
SELECT * FROM users WHERE id = :id;

-- name: get_last_user_id$
SELECT MAX(id) FROM users;

-- name: insert_user<!
INSERT INTO users (name, email) VALUES (:name, :email);

-- name: delete_all_users!
DELETE FROM users;

Using Your Queries

Define your database and queries, and then call them as methods. Choose async or sync setup based on your needs. It's as straightforward as it sounds.

import litequery
import asyncio


async def main():
    lq = litequery.setup("database.db", "queries.sql", use_async=True)
    await lq.connect()

    user_id = await lq.insert_user(name="Alice", email="alice@example.com")
    print(user_id)

    users = await lq.get_all_users()
    print(users)

    user = await lq.get_user_by_id(id=user_id)
    print(user)

    rows_count = await lq.delete_all_users()

    await lq.disconnect()


asyncio.run(main())

Transaction Support

Litequery also supports transactions in both async and sync contexts, allowing you to execute multiple queries atomicaly.

import litequery
import asyncio


async def main():
    lq = litequery.setup("database.db", "queries.sql")
    await lq.connect()

    try:
        async with lq.transaction():
            await lq.insert_user(name="Charlie", email="charlie@example.com")
            raise Exception("Force rollback")
            await lq.insert_user(name="Eve", email="eve@example.com")
    except Exception:
        print("Transaction failed")

    users = await lq.get_all_users()
    print(users)

    await lq.disconnect()


asyncio.run(main())

Wrapping Up

Litequery is all about simplicity and efficiency. Why wrestle with bloated ORMs when you can have raw SQL power? If you think there's a better way or have suggestions, let's hear them. Happy querying!

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

litequery-0.8.0.tar.gz (20.1 kB view details)

Uploaded Source

Built Distribution

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

litequery-0.8.0-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file litequery-0.8.0.tar.gz.

File metadata

  • Download URL: litequery-0.8.0.tar.gz
  • Upload date:
  • Size: 20.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.5

File hashes

Hashes for litequery-0.8.0.tar.gz
Algorithm Hash digest
SHA256 79716b5a0376a6fc9ba4870d06a0177f60625397a22349688686272cc1623ad1
MD5 38519288824fd94d4af260477ac03aaf
BLAKE2b-256 470100fd7c2bcc82f32fea4cb33b440ca757aa153298d40f2765cdfa01ffcfc2

See more details on using hashes here.

File details

Details for the file litequery-0.8.0-py3-none-any.whl.

File metadata

  • Download URL: litequery-0.8.0-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.5

File hashes

Hashes for litequery-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 de224fa2bfc566ef957329540e1261141aaee1e675e48861ae0e3f7b498487d4
MD5 a32310173bf3b0ea3c5cdff65e2174a9
BLAKE2b-256 69d95423652a2e50ff9c3cd60a0ff22e4087af524f9b66cc9c990cfd1e3a6aa2

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