aioredlock 0.7.3
Asyncio implemetation of Redis distributed locks
License: MIT
Requires Python: >=3.6
Keywords: redis redlock distributed locks asyncio

aioredlock
==========

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The asyncio redlock_ algorithm implementation.

Redlock and asyncio
-------------------

The redlock algorithm is a distributed lock implementation for Redis_. There are many implementations of it in several languages. In this case, this is the asyncio_ compatible implementation for python 3.5+.


Usage
-----
.. code-block:: python

  from aioredlock import Aioredlock, LockError, Sentinel

  # Define a list of connections to your Redis instances:
  redis_instances = [
    ('localhost', 6379),
    {'host': 'localhost', 'port': 6379, 'db': 1},
    'redis://localhost:6379/2',
    Sentinel(('localhost', 26379), master='leader', db=3),
    Sentinel('redis://localhost:26379/4?master=leader&encoding=utf-8'),
    Sentinel('rediss://:password@localhost:26379/5?master=leader&encoding=utf-8&ssl_cert_reqs=CERT_NONE'),
  ]

  # Create a lock manager:
  lock_manager = Aioredlock(redis_instances)

  # Check wether a resourece acquired by any other redlock instance:
  assert not await lock_manager.is_locked("resource_name")

  # Try to acquire the lock:
  try:
      lock = await lock_manager.lock("resource_name", lock_timeout=10)
  except LockError:
      print('Lock not acquired')
      raise

  # Now the lock is acquired:
  assert lock.valid
  assert await lock_manager.is_locked("resource_name")

  # Extend lifetime of the lock:
  await lock_manager.extend(lock, lock_timeout=10)
  # Raises LockError if the lock manager can not extend the lock lifetime
  # on more then half of the Redis instances.

  # Release the lock:
  await lock_manager.unlock(lock)
  # Raises LockError if the lock manager can not release the lock
  # on more then half of redis instances.

  # The released lock become invalid:
  assert not lock.valid
  assert not await lock_manager.is_locked("resource_name")

  # Or you can use the lock as async context manager:
  try:
      async with await lock_manager.lock("resource_name") as lock:
          assert lock.valid is True
          # Do your stuff having the lock
          await lock.extend()  # alias for lock_manager.extend(lock)
          # Do more stuff having the lock
      assert lock.valid is False # lock will be released by context manager
  except LockError:
      print('Lock not acquired')
      raise

  # Clear the connections with Redis:
  await lock_manager.destroy()


How it works
------------

The Aioredlock constructor accepts the following optional parameters:

- ``redis_connections``: A list of connections (dictionary of host and port and kwargs for ``aioredis.create_redis_pool()``, or tuple ``(host, port)``, or string Redis URI) where the Redis instances are running.  The default value is ``[{'host': 'localhost', 'port': 6379}]``.
- ``retry_count``: An integer representing number of maximum allowed retries to acquire the lock. The default value is ``3`` times.
- ``retry_delay_min`` and ``retry_delay_max``: Float values representing waiting time (in seconds) before the next retry attempt. The default values are ``0.1`` and ``0.3``, respectively.

In order to acquire the lock, the ``lock`` function should be called. If the lock operation is successful, ``lock.valid`` will be true, if the lock is not acquired then the ``LockError`` will be raised.

From that moment, the lock is valid until the ``unlock`` function is called or when the ``lock_timeout`` is reached.

Call the ``extend`` function to reset lifetime of the lock to ``lock_timeout`` interval.

Use the ``is_locked`` function to check if the resource is locked by other redlock instance.

In order to clear all the connections with Redis, the lock_manager ``destroy`` method can be called.

To-do
-----


.. _redlock: https://redis.io/topics/distlock
.. _Redis: https://redis.io
.. _asyncio: https://docs.python.org/3/library/asyncio.html