sqlalchemy-dlock 0.7.0

A distributed lock implementation based on SQLAlchemy

sqlalchemy-dlock

sqlalchemy-dlock is a distributed-lock library based on Database and SQLAlchemy.

It currently supports below locks:

Database	Lock
MySQL	named lock
PostgreSQL	advisory lock

Install

pip install sqlalchemy-dlock

Usage

• Work with SQLAlchemy Connection:

  from sqlalchemy import create_engine
  from sqlalchemy_dlock import create_sadlock
  
  key = 'user/001'
  
  engine = create_engine('postgresql://scott:tiger@127.0.0.1/')
  conn = engine.connect()
  
  # Create the D-Lock on the connection
  lock = create_sadlock(conn, key)
  
  # it's not lock when constructed
  assert not lock.locked
  
  # lock
  lock.acquire()
  assert lock.locked
  
  # un-lock
  lock.release()
  assert not lock.locked
  

• with statement

  from contextlib import closing
  
  from sqlalchemy import create_engine
  from sqlalchemy_dlock import create_sadlock
  
  key = 'user/001'
  
  engine = create_engine('postgresql://scott:tiger@127.0.0.1/')
  with engine.connect() as conn:
  
      # Create the D-Lock on the connection
      with create_sadlock(conn, key) as lock:
          # It's locked
          assert lock.locked
  
      # Auto un-locked
      assert not lock.locked
  
      # If do not want to be locked in `with`, a `closing` wrapper may help
      with closing(create_sadlock(conn, key)) as lock2:
          # It's NOT locked here !!!
          assert not lock2.locked
          # lock it now:
          lock2.acquire()
          assert lock2.locked
  
      # Auto un-locked
      assert not lock2.locked
  

• Work with SQLAlchemy ORM Session:

  from sqlalchemy import create_engine
  from sqlalchemy.orm import sessionmaker
  from sqlalchemy_dlock import create_sadlock
  
  key = 'user/001'
  
  engine = create_engine('postgresql://scott:tiger@127.0.0.1/')
  Session = sessionmaker(bind=engine)
  
  with Session() as session:
    with create_sadlock(session, key) as lock:
        assert lock.locked
    assert not lock.locked
  

• Asynchronous I/O Support

  💡 TIP

  • SQLAlchemy 1.x's asynchronous I/O: https://docs.sqlalchemy.org/14/orm/extensions/asyncio.html
  • SQLAlchemy 2.x's asynchronous I/O: https://docs.sqlalchemy.org/20/orm/extensions/asyncio.html

  from sqlalchemy.ext.asyncio import create_async_engine
  from sqlalchemy_dlock import create_async_sadlock
  
  key = 'user/001'
  
  engine = create_async_engine('postgresql+asyncpg://scott:tiger@127.0.0.1/')
  
  async with engine.connect() as conn:
      async with create_async_sadlock(conn, key) as lock:
          assert lock.locked
          await lock.release()
          assert not lock.locked
          await lock.acquire()
      assert not lock.locked
  

  ℹ️ NOTE
  aiomysql, asyncpg and psycopg are tested asynchronous drivers.

Test

Following drivers are tested:

• MySQL:
  • mysqlclient (synchronous)
  • pymysql (synchronous)
  • aiomysql (asynchronous)
• Postgres:
  • psycopg2 (synchronous)
  • asyncpg (asynchronous)
  • psycopg (synchronous and asynchronous)

You can run unit-tests

• on local environment:

  1. Install the project in editable mode with asyncio optional dependencies, and libraries/drivers needed in test. A virtual environment (venv) is strongly advised:

     pip install -e . --group dev
     

  2. start up mysql and postgresql service

     There is a docker compose file db.docker-compose.yml in project's top directory, which can be used to run mysql and postgresql develop environment conveniently:

     docker compose -f db.docker-compose.yml up
     

  3. set environment variables TEST_URLS and TEST_ASYNC_URLS for sync and async database connection url. Multiple connections separated by space.

     eg: (following values are also the defaults, and can be omitted)

     TEST_URLS=mysql://test:test@127.0.0.1/test postgresql://postgres:test@127.0.0.1/
     TEST_ASYNC_URLS=mysql+aiomysql://test:test@127.0.0.1/test postgresql+asyncpg://postgres:test@127.0.0.1/
     

     ℹ️ NOTE
     The test cases would load environment variables from dot-env file tests/.env.

  4. run unit-test

     python -m unittest
     

• or on docker compose:

  tests/docker-compose.yml defines a Python and SQLAlchemy version matrix -- it combines multiple Python versions and SQLAlchemy v1/v2 for test cases. We can run it by:

  cd tests
  docker compose up --abort-on-container-exit