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Redis memoize cache

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pipeline status

What is it is a cache and works on redis so it is suitable for multi threaded and multi process applications. It has been inspired and based on library


To use the file, import rcache and annotate functions with @rcache.rcache().

import rcache

def expensive_func(arg, kwarg=None):
  # Expensive stuff here
  return arg

The @rcache.rcache() function can take multiple arguments.

  • @rcache.rcache(timeout=20) - Only caches the function for 20 seconds.
  • @rcache.rcache(url="http://other_redis:6379") - Saves cache to specified Redis url (defaults to http://localhost:6379)
  • @rcache.rcache(key=rcache.ARGS[KWARGS,NONE]) - Check against args, kwargs or neither of them when doing a cache lookup.

How it works queries redis and checks against the name, arguments and hash of a function's source to decide if the function has been run before. If it has it returns the cached result immediately.

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