Wrapper to provide distributed locks in aioredis
Project description
aioredis_lock
Implementation of distributed locking with aioredis, an asyncio based redis client.
This is a standalone lib until, and if, aio-libs/aioredis#573 is accepted.
Usage
You need an aioredis.RedisConnection
or aioredis.ConnectionsPool
already created.
Mutex
from aioredis_lock import RedisLock, LockTimeoutError
try:
async with RedisLock(
pool,
key="foobar",
# how long until the lock should expire (seconds). this can be extended
# via `await lock.extend(30)`
timeout=30,
# you can customize how long to allow the lock acquisitions to be
# attempted.
wait_timeout=30,
) as lock:
# If you get here, you now have a lock and are the only program that
# should be running this code at this moment.
# do some work...
# we may want it longer...
await lock.extend(30)
except LockTimeoutError:
# The lock could not be acquired by this worker and we should give up
pass
Simple Leader/Follower(s)
Let's suppose you need a simple leader/follower type implementation where you have a number of web-workers but just want 1 to preform a repeated task. In the case the leader fails someone else should pick up the work. Simply pass wait_timeout=None
to RedisLock allowing the worker to keep trying to get a lock for when the leader eventually fails. The main complication here is extending the lock and validating the leader still owns it.
from aioredis_lock import RedisLock
# if the lock is lost, we still want to be a follower
while True:
# wait indefinitely to acquire a lock
async with RedisLock(pool, "shared_key", wait_timeout=None) as lock:
# hold the lock as long as possible
while True:
if not await lock.is_owner():
logger.debug("We are no longer the lock owner, falling back")
break
# do some work
if not await lock.renew():
logger.debug("We lost the lock, falling back to follower mode")
break
This mostly delegates the work of selecting and more importantly promoting leaders.
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