Mar 25, 2025 · python-redis-cache. Simple redis cache for Python functions. Requirements. Redis 5+ Python 3.8+ (should work in Python 3.6+, but not tested) How to install pip install python-redis-cache How to use

In this step-by-step tutorial, you'll cover how to use both Redis and its Python client library. You'll learn a bite-sized slice of Redis itself and master the redis-py client library.

Simple redis cache for Python functions. cache = RedisCache (redis_client=client) @cache.cache() def my_func (arg1, arg2): return some_expensive_operation () # Use the function my_func (1, 2) # Call it again with the same arguments and it will use cache my_func (1, 2) # Invalidate a single value my_func. invalidate (1, 2)

Mar 26, 2025 · There are already quite a few Python decorators to cache functions in a Redis database: and more ... But none I could find allows to set two expiration times as we do it here. The first given time is how long before we should update the value stored in the cache.

Mar 6, 2025 · Here, I should cover core concepts like what Redis is, the different data structures it supports, and how caching works. I’ll explain that Redis is an in-memory store, which makes it fast. I’ll also talk about cache hits and misses, TTL, and maybe some best practices, like not caching everything and handling cache invalidation properly.

Aug 29, 2023 · Lowering backend load and enhancing performance are two areas where Redis excels as a powerful caching tool. Additionally, it guarantees data consistency by atomic operations, and automatic cache eviction is ensured through key expiration. Why Using Redis in Python is Beneficial?

Aug 1, 2024 · Implementing Redis caching is a highly effective strategy for enhancing application performance. By storing frequently accessed data in memory, Redis dramatically reduces response times and alleviates database load.

Feb 9, 2019 · Redis is a lightweight in-memory database. It perfectly suits for caching results of expensive requests to remote API. We can access Redis server running on separate host from our Python program...

In this article, we’ll show how to create a Redis cache using async code, and how to set values with an expiry time in seconds. Since Redis stores everything in memory, we’ll also look at how to compress and decompress larger responses to save space.

redis-simple-cache is a pythonic interface for creating a cache over redis. It provides simple decorators that can be added to any function to cache its return values. or to get the latest version. if n == 0: return 0. elif n == 1: return 1. else: return fib(n-1) + fib(n-2) limit is the maximum number of keys, expire is the expire time in seconds.