The cloud-based computing of 2016 puts a premium on memory. Gigabytes of empty space is left on disks as processes vie for memory. Among these processes is Memcached (and sometimes Redis) which is used as a cache. Wouldn't it be nice to leverage empty disk space for caching?

Django is Python's most popular web framework and ships with several caching backends. Unfortunately the file-based cache in Django is essentially broken. The culling method is random and large caches repeatedly scan a cache directory which slows linearly with growth. Should it really take ~60ms to store a key in a cache with a thousand items?

In Python, we can do better. And we can do it in pure-Python!

Code Quality Rank: L2
Programming language: Python
License: GNU General Public License v3.0 or later
Tags: Caching    
Latest version: v4.1.0

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