Redis for humans. 🌎🌍🌏
Redlock now consistently uses seconds for all time unitsIn particular:
auto_release_time argument to Redlock.__init__() and synchronize() is now in seconds (was previously milliseconds)Redlock.locked() now returns how much longer you'll hold the lease in seconds (or 0 if you don't hold the lock; and was also previously milliseconds)Full Changelog: https://github.com/brainix/pottery/compare/v2.3.7...v3.0.0
CachedOrderedDict.__init__()Dramatically improve the performance of CachedOrderedDict.__init__(). Prior to this release, we were making multiple round trips to Redis, one per dict_key. As of this release, we make a single bulk call to Redis.
Full Changelog: https://github.com/brainix/pottery/compare/v2.3.6...v2.3.7
UNLINK over DEL; UNLINK is faster and non-blockingFull Changelog: https://github.com/brainix/pottery/compare/v2.3.5...v2.3.6
RedisDeque to equal a RedisList......even if they're both on the same Redis instance and have the same key.
Before this release:
>>> from pottery import RedisDeque, RedisList
>>> RedisDeque(key='videos:dicts') == RedisList(key='videos:dicts')
True
As of this release:
>>> from pottery import RedisDeque, RedisList
>>> RedisDeque(key='videos:dicts') == RedisList(key='videos:dicts')
False
Full Changelog: https://github.com/brainix/pottery/compare/v2.3.4...v2.3.5
RedisDeques to equal Python lists......even when they contain the same elements. Observe:
>>> import collections
>>> collections.deque([1, 2, 3]) == [1, 2, 3]
False
Full Changelog: https://github.com/brainix/pottery/compare/v2.3.3...v2.3.4
RedisDeques to equal RedisLists......even when they contain the same elements. Observe:
>>> import collections
>>> collections.deque([1, 2, 3]) == [1, 2, 3]
False
Full Changelog: https://github.com/brainix/pottery/compare/v2.3.2...v2.3.3
RedisLists on different Redis databasesPrior to this release, list1 == list2 would fail if both were RedisLists but on different Redis databases. This is because we'd try to use the same Redis pipeline for both lists. Fixed in #572.
Full Changelog: https://github.com/brainix/pottery/compare/v2.3.1...v2.3.2
Previously, we were comparing the two clients' connection_kwargs, but connection_kwargs contains more than just host, port, and db:
>>> from redis import Redis
>>> redis = Redis()
>>> redis.connection_pool.connection_kwargs
{'db': 0, 'username': None, 'password': None, 'socket_timeout': None, 'encoding': 'utf-8', 'encoding_errors': 'strict', 'decode_responses': False, 'retry_on_error': [], 'retry': None, 'health_check_interval': 0, 'client_name': None, 'redis_connect_func': None, 'host': 'localhost', 'port': 6379, 'socket_connect_timeout': None, 'socket_keepalive': None, 'socket_keepalive_options': None}
This PR allows Pottery to recognize that two Redis clients are connected to the same database even if their socket timeout our retry policies are different.
RedisSet.contains_many() work for non-JSONifyable objectsRedisSimpleQueueRedisSimpleQueue is a Redis-backed multi-producer, multi-consumer FIFO queue compatible with Python’s queue.SimpleQueue. In general, use a Python queue.Queue if you’re using it in one or more threads, use multiprocessing.Queue if you’re using it between processes, and use RedisSimpleQueue if you’re sharing it across machines or if you need for your queue to persist across application crashes or restarts.
Full Changelog: https://github.com/brainix/pottery/compare/v2.2.2...v2.3.0
Script from the correct placeReported in #552, fixed in #554.
Full Changelog: https://github.com/brainix/pottery/compare/v2.2.1...v2.2.2