# Configure a new DocumentArray with a Redis document store redis_da = DocumentArray(storage='red...
NoSqlManager.__init__(self, namespace, url=url, data_dir=data_dir, lock_dir=lock_dir, **params)defopen_connection(self, host, port, **params):self.db_conn = Redis(host=host, port=int(port), connection_pool=self.connection_pool, db=self.db, **params)def__contains__(self, key)...
││ 📂 openid-redis │ 1.1 │ Mar 3, 2014 │ A Redis storage backend for the python-openid package ││ 📂 serialized-redis │ 0.1.5 │ Oct 12, 2014│ A solution to have lists and dictionaries serialized using redis-py. ││ 📂 redis-trib │ 0.6.2 │ Nov 1, 2019 │ Redis...
您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: Storage ▲点赞 7▼ # 需要导入模块: from redis import StrictRedis [as 别名]# 或者: from redis.StrictRedis importmget[as 别名]classStorage(object):def__init__(self, host=None, port=None, *args,...
Updated Feb 21, 2025 Python redisson / redisson Star 23.6k Code Issues Pull requests Discussions Redisson - Valkey and Redis Java client. Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Valkey and Redis based Java objects and services: Set, Multimap, SortedSet, Map, ...
python中使用redis的常用命令 在Python中使用Redis，可以通过redis-py库来执行各种Redis命令。以下是一些...
以下是一个Python代码示例,展示如何在硬盘上读取和写入文件: # 写入文件withopen('example.txt','w')asfile:file.write("Hello, World!")# 读取文件withopen('example.txt','r')asfile:content=file.read()print(content)# 输出文件内容 1. 2. ...
Learn how to use Azure Cache for Redis with these code samples: connecting to a cache, reading and writing data in a cache, ASP.NET Azure Cache for Redis providers.
Python6605UpdatedNov 28, 2023 prometheus-redistimeseries-adapterPublic Prometheus remote storage adapter for RedisTimeSeries Go34BSD-3-Clause11132UpdatedNov 21, 2023 tsbsPublicForked fromtimescale/tsbs Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data ...
The inherent ability to horizontally scale allows to store large amounts of data across commodity servers in the cluster. They usually use low cost resources, and are able to linearly add compute and storage power as the demand grows. source page https://www.quora.com/When-should-you-use-No...