Efficient Ruby LRU cache

Question

What's the most efficient way to build a cache with arbitrary Ruby objects as keys that are expired based on a least recently used algorithm. It should use Ruby's normal hashing semantics (not equal?)

Answer 1

Ruby Best Practices blog has a post about it.

Answer 2

This pushes the boundaries of my understanding of how Ruby uses memory, but I suspect that the most efficient implementation would be a doubly-linked list where every access moves the key to the front of the list, and every insert drops an item if the maximum size has been reached.

However, assuming Ruby's Hash class is already very efficient, I'd bet that the somewhat naive solution of simply adding age data to a Hash would be fairly good. Here's a quick toy example that does this:

class Cache
  attr_accessor :max_size

  def initialize(max_size = 4)
    @data = {}
    @max_size = max_size
  end

  def store(key, value)
    @data.store key, [0, value]
    age_keys
    prune
  end

  def read(key)
    if value = @data[key]
      renew(key)
      age_keys
    end
    value
  end

  private # -------------------------------

  def renew(key)
    @data[key][0] = 0
  end

  def delete_oldest
    m = @data.values.map{ |v| v[0] }.max
    @data.reject!{ |k,v| v[0] == m }
  end

  def age_keys
    @data.each{ |k,v| @data[k][0] += 1 }
  end

  def prune
    delete_oldest if @data.size > @max_size
  end
end

There's probably a faster way of finding the oldest item, and this is not thoroughly tested, but I'd be curious to know how anyone thinks this compares to a more sophisticated design, linked list or otherwise.

Answer 3

Remaze has a reasonably well tested LRU Cache: See http://github.com/manveru/ramaze/blob/master/lib/ramaze/snippets/ramaze/lru%5Fhash.rb

And there is also this: http://github.com/rubyworks/lrucache/blob/master/lib/lrucache.rb which should be more efficient than the remaze one for large caches.

Answer 4

gem install ruby-cache

--> http://www.nongnu.org/pupa/ruby-cache-README.html