Skip to main content

LRU Cache for Python using Redis

Project description

LRU Cache

This is a simple Least Recently Used (LRU) Cache with expiration time that use redis to store the data.

Installation

Usage

Import LRUCache from the lru_redis_cache module, when creating an instance of this class you could pass:

  • cache_size: Max size of the cache, the default value is 10
  • ttl: Max time to expire the cache, the default value is 60 seconds
  • redis_host: Host where the redis instance is allocated, default is localhost
  • redis_port: Redis port, default is 6379

This class has three public methods to manage the cache:

  • set(name, value) this function set a new cache value or replace the previous.

  • get(name) this function return the cache element if it is stores, otherwise it will return a None value.

  • set_connection(RedisConnection) this function allows you to set the redis instance to be used.

from lru_redis_cache import LRUCache

cache = LRUCache(cache_size=5, ttl=60)

cache.set("my_key", "my_value")
cache.get("my_key")

# Output
"my_value"

Tests

In order to run the test cases you need to install the basic requirements from requirements.txt by running the following command.

pip install -r requirements.txt

Then, you need to run

python -m pytest

Information

LRU Cache Implementation

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lru_redis_cache-0.1.tar.gz (2.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page